IBM Research - Israel

Publications

Our catalog of recent publications authored by IBM researchers, in collaboration with the global research community.

 

Accelerated Discovery Publications

Title Author Year Conference/Journal Focus  
Causalvis: Visualizations for Causal Inference Ehud Karavani, Grace Guo, Alex Endert, Bum Chul Kwon 2023 CHI 2023 Causal inference  Link
FairPRS: adjusting for admixed populations in polygenic risk scores using invariant risk minimization Ehud Karavani, Diego Machado Reyes, Aritra Bose, and Laxmi Parida 2023 Pacific Symposium on Biocomputing Polygenic risk scores  Link
Using Artificial Intelligence to Interpret Digital Breast Tomosynthesis – current performance and future perspectives Michal Rosen-Zvi, Yoel Shoshan, Lisa Mullen 2022 DI EUROPE. 2022:19 Breast Cancer 
Evaluation of an Automated Method to Detect Missed Focal Liver Findings In Single-Phase CT Images of The Abdomen Pedro L Esquinas, Yen-Fu Luo, Parisa Farzam, Tyler Baldwin, Moshe Raboh, Thomas Binder, Arkadiusz Sitek, Omid Sakhi, Yi-Qing Wang, Sameer Suman, Giovanni Palma, Paul Dufort, Ben Graf 2022 ISBI Liver Cancer 
Machine learning for improving high-dimensional proxy confounder adjustment in healthcare database studies: An overview of the current literature Richard Wyss, Chen Yanover, Tal El-Hay, Dimitri Bennett, Robert W. Platt, Andrew R. Zullo, Grammati Sari, Xuerong Wen, Yizhou Ye, Hongbo Yuan, Mugdha Gokhale, Elisabetta Patorno, Kueiyu Joshua Lin 2022 Pharmacoepidemiology and Drug Safety Big data 
Leveraging Comprehensive Health Records to Breast Cancer Risk Prediction: A Binational Assessment Michal Chorev, Vesna Barros, Adam Spiro, Ella Evron, Ella Barkan, Oren Kagan, Mika Amit, Michal Ozery-Flato, Ayelet Akselrod-Balin, Varda Shalev, Michal Rosen-Zvi, Michal Guindy 2022 AMIA Breast Cancer 
Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis. Yoel Shoshan, Ran Bakalo,Flora Gilboa-Solomon , Vadim Ratner, Ella Barkan, Michal Ozery-Flato, Mika Amit, Daniel Khapun,Emily Ambinder,Eniola Oluyemi, Babita Panigrahi, Philip Di Carlo, Michal Rosen-Zvi, Lisa Mullen 2022 Radiology Breast Cancer 
Early prediction of metastasis in women with locally advanced breast cancer Simona Rabinovici-Cohen, Tal Tlusty, Xose M. Fernandez, Beatriz Grandal Rejo 2022 SPIE Medical Imaging: Computer-Aided Diagnosis Breast Cancer 
Context in Medical Imaging: The Case of Focal Liver Lesion Classication Moshiko Raboh, Dana Levanony, Paul Dufort, and Arkadiusz Sitek 2022 SPIE Medical Imaging: Computer-Aided Diagnosis Liver Cancer 
Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization Michal Ozery-Flato, Ora Pinchasov, Miel Dabush-Kasa, Efrat Hexter, Gabriel Chodick, Michal Guindy,Michal Rosen-Zvi 2021 AMIA Breast Cancer 
Quantification of tumor heterogeneity: from data acquisition to metric generation Aditya Kashyap, Maria Anna Rapsomaniki, Vesna Barros, Anna Fomitcheva-Khartchenko, Adriano Luca Martinelli, Antonio Foncubierta Rodriguez, Maria Gabrani, Michal Rosen-Zvi, and Govind Kaigala 2021 Trends in Biotechnology Cancer 
On the role of artificial intelligence in medical imaging of COVID-19. Born, J., Beymer, D., Rajan, D., Coy, A., Mukherjee, V.V., Manica, M., Prasanna, P., Ballah, D., Guindy, M., Shaham, D. Shah, P.L., and Rosen-Zvi, M, 2021 Patterns Biomarker Discovery, Cancer, COVID 
Lessons from the first DBTex Challenge Jungkyu Park, Yoel Shoshan, Robert Martí, Pablo Gómez del Campo, Vadim Ratner, Daniel Khapun, Aviad Zlotnick, Ella Barkan, Flora Gilboa-Solomon, Jakub Chłędowski, Jan Witowski, Alexandra Millet, Eric Kim, Alana Lewin, Kristine Pysarenko, Sardius Chen, Julia Goldberg, Shalin Patel, Anastasia Plaunova, Melanie Wegener, Stacey Wolfson, Jiyon Lee, Sana Hava, Sindhoora Murthy, Linda Du, Sushma Gaddam, Ujas Parikh, Laura Heacock, Linda Moy, Beatriu Reig, Michal Rosen-Zvi, and Krzysztof J. Geras 2021 Nature Machine Intelligence Breast Cancer 
A Case Study of Breast Imaging in a Nationwide Israeli Health Organization Michal Ozery-Flato, Ora Pinchasov, Miel Dabush-Kasa, Efrat Hexter, Gabriel Chodick,Michal Guindy,Michal Rosen-Zvi 2021 AMIA Breast Cancer 
Emulated clinical trials from longitudinal real-world data efficiently identify candidates for neurological disease modification: examples from parkinson’s disease Laifenfeld Daphna, Chen Yanover, Michal Ozery-Flato, Oded Shaham, Michal Rosen-Zvi, Nirit Lev, Yaara Goldschmidt, and Iris Grossman 2021 Frontiers in pharmacology Parkinson 
Evaluation of an artificial intelligence system for assisting neurologists with fast and accurate annotation of scalp electroencephalography data. Subhrajit Roy, Isabell Kiral, Mahtab Mirmomeni, Todd Mummert, Alan Braz, Jason Tsay, Jianbin Tang, Umar Asif, Thomas Schaffter, Mehmet Eren Ahsen, Toshiya Iwamori, Hiroki Yanagisawa, Hasan Poonawala, Piyush Madan, Yong Qin, Joseph Picone, Iyad Obeid, Bruno De Assis Marques, Stefan Maetschke, Rania Khalaf, Michal Rosen-Zvi, Gustavo Stolovitzky, Stefan Harrer 2021 EBioMedicine EEG  
AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19 Parthasarathy Suryanarayanan, Ching-Huei Tsou, Ananya Poddar, Diwakar Mahajan, Bharath Dandala, Piyush Madan, Anshul Agrawal, Charles Wachira, Osebe Mogaka Samuel, Osnat Bar-Shira, Clifton Kipchirchir, Sharon Okwako, William Ogallo, Fred Otieno, Timothy Nyota, Fiona Matu, Vesna Resende Barros, Daniel Shatz, Oren Kagan, Sekou Remy, Oliver Bent, Shilpa Mahatma, Aisha Walcott-Bryant, Divya Pathak, Michal Rosen-Zvi 2021 Scientific Data COVID-19  Link
Towards effect estimation of Covid-19 non-pharmaceutical interventions Vesna Barros, Itay Manes, Victor Akinwande, Osnat Bar-Shira, Celia Cintas, Michal Ozery-Flato, Yishai Shimoni, Michal Rosen-Zvi 2021 AMIA poster COVID-19 
Beyond Non-maximum Suppression-Detecting Lesions in Digital Breast Tomosynthesis Volumes Yoel Shoshan, Aviad Zlotnick, Vadim Ratner, Daniel Khapun, Ella Barkan, and Flora Gilboa-Solomon. 2021 MICCAI Breast Cancer 
Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms. Tal Tlusty, Michal Ozery-Flato, Vesna Barros, Ella Barkan, Mika Amit, David Gruen, Michal Guindy, Tal Arazim, Mona Rozin, Michal Rosen-Zvi and Efrat Hexter 2021 MLMI MICCAI Breast Cancer 
An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon 2021 MICCAI Kidney and kidney Tumor Segmentation (KiTS) Challenge Kidney Cancer 
Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy Simona Rabinovici-Cohen, Xosé M. Fernández, Beatriz Grandal Rejo, Efrat Hexter, Oliver Hijano Cubelos, Juha Pajula, Harri Pölönen, Fabien Reyal, and Michal Rosen-Zvi 2021 AMIA poster Breast Cancer 
Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance Shaked Perek, Mika Amit, Efrat Hexter 2021 PRIME MICCAI Breast Cancer 
A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms Ibrahim Jubran, Moshiko Raboh Shaked Perek, David Gruen, Efrat Hexter 2021 SASHIMI MICCAI Breast Cancer 
Framework for Identifying Drug Repurposing Candidates from Observational Healthcare Data Ozery-Flato, Michal, et al. 2020 JAMIA Open (2020) Machine Learning 
Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations L. Ness, E.Barkan, M.Ozery-Flato 2020 accepted to iMIMIC Workshop, MICCAI 2020 Medical Imaging 
Multi-task learning for detection and classification of cancer in screening mammography Maria V. Sainz de Cea, Karl Diedrich, Ran Bakalo, Lior Ness, David Richmond 2020 MICCAI 2020 Medical ImagingSelected Work
Radiomics for predicting response to neoadjuvant chemotherapy treatment in breast cancer Simona Rabinovici-Cohen, Tal Tlusty, Ami Abutbul, Kari Antila, Xosé Fernandez, Beatriz Grandal Rejo, Efrat Hexter, Oliver Hijano Cubelos, Abed Khateeb, Juha Pajula, Shaked Perek 2020 Proceedings of SPIE 11318 Medical Imaging, Houston, Texas, United States, 2020 Medical Imaging 
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms Thomas Schaffter, Diana SM Buist, Christoph I Lee, Yaroslav Nikulin, Dezso Ribli, Yuanfang Guan, William Lotter, Zequn Jie, Hao Du, Sijia Wang, Jiashi Feng, Mengling Feng, Hyo-Eun Kim, Francisco Albiol, Alberto Albiol, Stephen Morrell, Zbigniew Wojna, Mehmet Eren Ahsen, Umar Asif, Antonio Jimeno Yepes, Shivanthan Yohanandan, Simona Rabinovici-Cohen, Darvin Yi, Bruce Hoff, Thomas Yu, Elias Chaibub Neto, Daniel L Rubin, Peter Lindholm, Laurie R Margolies, Russell Bailey McBride, Joseph H Rothstein, Weiva Sieh, Rami Ben-Ari, Stefan Harrer, Andrew Trister, Stephen Friend, Thea Norman, Berkman Sahiner, Fredrik Strand, Justin Guinney, Gustavo Stolovitzky, Lester Mackey, Joyce Cahoon, Li Shen, Jae Ho Sohn, Hari Trivedi, Yiqiu Shen, Ljubomir Buturovic, Jose Costa Pereira, Jaime S Cardoso, Eduardo Castro, Karl Trygve Kalleberg, Obioma Pelka, Imane Nedjar, Krzysztof J Geras, Felix Nensa, Ethan Goan, Sven Koitka, Luis Caballero, David D Cox, Pavitra Krishnaswamy, Gaurav Pandey, Christoph M Friedrich, Dimitri Perrin, Clinton Fookes, Bibo Shi, Gerard Cardoso Negrie, Michael Kawczynski, Kyunghyun Cho, Can Son Khoo, Joseph Y Lo, A Gregory Sorensen, Hwejin Jung 2020 Journal of the American Medical Association (JAMA) Network Open, 2020 Medical ImagingSelected Work
Multimodal Prediction of Breast Cancer Relapse Prior to Neoadjuvant Chemotherapy Treatment Simona Rabinovici-Cohen, Ami Abutbul, Xosé Fernandez, Oliver Hijano Cubelos, Shaked Perek, Tal Tlusty 2020 PRIME-MICCAI Workshop, 2020 Medical Imaging 
The case of missed cancers: Applying AI as a radiologist’s safety net Michal Chorev,Yoel Shoshan, Adam Spiro, Shaked Naor, Alon Hazan, Vesna Barros, Iuliana Weinstein, Esma Herzel, Varda Shalev, Michal Guindy,Michal Rosen-Zvi 2020 MICCAI 2020 Medical Imaging, Machine LearningSelected Work
Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammography Images Ayelet Akselrod-Ballin, Michal Chorev , Yoel Shoshan, Adam Spiro, Alon Hazan, Roie Melamed, Ella Barkan, Esma Herzel, Shaked Naor, Ehud Karavani, Gideon Koren, Yaara Goldschmidt, Varda Shalev, Michal Rosen-Zvi, Michal Guind 2019 Radiology 292.2 (2019): 331-342, was presented also at "Best of RADIOLOGY in 2019 - The Editors of Radiology keep you up to date" at RSNA 2019 Medical Imaging, Machine LearningSelected Work
Using Deep Learning to improve Efficiency of Breast Cancer Tomosynthesis Screening F. Gilboa-Solomon, R. Bakalo, E. Barkan, Y. Shoshan 2019 RSNA 2019 Medical Imaging 
Mammogram Classification with Ordered Loss R. Ben-Ari, Y. Shoshan, T. Tlusty 2019 AIME 2019 Medical Imaging 
Learning from Longitudinal Mammography Studies S. Perek, L. Ness, M. Amit, E. Barkan, G. Amit 2019 MICCAI 2019 Medical ImagingSelected Work
Automatically detecting data drift in machine learning classifiers O.Raz, M. Zalmanovici , A. Zlotnick , E. Farchi, O. Raz 2019 EDSMLS'19 Medical Imaging 
Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net R. Bakalo, R. Ben-Ari, J. Goldberger 2019 ISBI 2019 Medical Imaging 
How the weather affects the pain of citizen scientists using a smartphone app Dixon, William G., et al. 2019 NPJ digital medicine 2.1 (2019): 1-9. Machine LearningSelected Work
Comment: Causal Inference Competitions: Where Should We Aim? E.Karavani , T.El-Hay , Y. Shimoni , C.Yanover 2019 Statistical Science 34.1 (2019): 86-89. Machine Learning 
Inferring new relations between medical entities using literature curated term co-occurrences Spiro, Adam, Jonatan Fernández García, and Chen Yanover. 2019 JAMIA open 2.3 (2019): 378-385. Machine Learning 
Framework for reliable value assessment of treatments using causal analysis of observational data: support matching biological therapy to rheumatoid arthritis patients Y. Shimoni, S. Ravid, P. Bak, E. Karavani, S. Hensley Alford, D. Meade, Y. Goldschmidt 2019 Value in Health 22, S389 (2019). Machine LearningSelected Work
A discriminative approach for finding and characterizing positivity violations using decision trees Karavani Ehud, Peter Bak, and Yishai Shimoni. 2019 arXiv preprint arXiv:1907.08127 (2019). Machine Learning 
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference Shimoni Yishai, et al. 2019 arXiv preprint arXiv:1906.00442 (2019). Machine Learning 
Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy Amit Gruber, Chen Yanover, Tal El-Hay, Anders Sonerborg, Francesca Incardona, Yaara Goldschmidt 2018 International Conference on Artificial Intelligence and Statistics. 2018. Machine Learning 
Adversarial balancing for causal inference Ozery-Flato, Michal, et al. 2018 arXiv preprint arXiv:1810.07406 (2018). Machine Learning 
Association between expression of random gene sets and survival is evident in multiple cancer types and may be explained by sub-classification Shimoni, Yishai 2018 PLoS computational biology 14.2 (2018): e1006026. Machine Learning 
Characterizing Subpopulations with Better Response to Treatment Using Observational Data-an Epilepsy Case Study Ozery-Flato, Michal, et al. 2018 bioRxiv (2018): 290585. Machine LearningSelected Work
Association between expression of random gene sets and survival is evident in multiple cancer types and may be explained by sub-classification Yishai Shimoni 2018 PLoS Comput Biol. 2018 Feb 22;14(2):e1006026. Machine Learning 
Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis Yishai Shimoni, Chen Yanover , Ehud Karavani , and Yaara Goldschmnidt 2018 arXiv preprint arXiv:1802.05046 (2018). Machine Learning 
Mammography Dual View Mass Correspondence S. Perek, A. Hazan, E. Barkan, A. Akselrod Ballin 2018 KDD Workshop 2018 Medical Imaging 
Unsupervised Clustering of Mammograms for Outlier Detection and Breast Density Estimation R. Ben-Ari, T. Tlusty and G.Amit 2018 ICPR 2018 Medical Imaging 
Siamese Network for Dual-View Mammography Mass Matching S. Perek, A. Hazan, E. Barkan, A. Akselrod Ballin 2018 MICCAI BIA workshop 2018 Medical Imaging 
Digital Mammography DREAM Challenge: The Core of Top Performing Methods, Special Session R. Ben-Ari 2018 Biomedical Health Informatics, 2018 Medical Imaging 
Weakly Supervised Classification and Localization in Mammograms via Dual Branch Deep Network R. Bakalo, J. Goldberger and R. Ben-Ari 2018 IMVC 2018 Medical Imaging 
Regularized Adversarial Examples for Model Interpretability Yoel Shoshan, Vadim Ratner 2018 arXiv, November 2018 Medical Imaging 
Learning Multiple Non-Mutually-Exclusive Tasks for Improved Classification of Inherently Ordered Labels Vadim Ratner, Yoel Shoshan, Tal Kachman 2018 arXiv May 2018 Medical Imaging 
AdapterNet - Learning Input Transformation for Domain Adaptation Alon Hazan, Yoel Shoshan, Daniel Khapun, Roy Aladjem, Vadim Ratner 2018 arXiv, May 2018 Medical Imaging 
Estimating Effects Of Second Line Therapy For Type 2 Diabetes Mellitus: Retrospective Cohort Study Assaf Gottlieb, Chen Yanover, Amos Cahan, Yaara Goldschmidt, BMJ Open Diabetes Research and Care, 5:e000435, 2017 2017 BMJ Open Diabetes Research and Care, 5:e000435, Year:2017 Machine LearningSelected Work
Using a Data-Driven Policy Decision Support Tool Michal Chorev, Lavi Shpigelman, Peter Bak, Avi Yaeli, Edwin Michael, Ya’ara Goldschmidt 2017 MedInfo 2017 Machine Learning 
A Data-Driven Decision-Support Tool for Population Health Policies Chorev M, Shpigelman L, Bak P, Yaeli A, Michael E, Goldschmidt Y 2017 Stud Health Technol Inform.2017;245:332-336. 2017 Machine Learning, Medical ImagingSelected Work
Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR Data Michal Ozery-Flato, Chen Yanover, Assaf Gottlieb, Omer Weissbrod, Naama Parush Shear-Yashuv, and Yaara Goldschmidt 2017 Stud Health Technol Inform.235:181-185, 2017 Machine LearningSelected Work
Epidemiological models without process noise are probably over confident Lavi Shpigelman, Michal Chorev, Zeev Waks, Ya’ara Goldschmidt, Edwin Michael. 2017 Stud Health Technol Inform.235:136-140. 2017 Machine Learning 
Changes in Vaginal Community State Types Reflect Major Shifts in the Microbiome J. Paul Brooks, Gregory A. Buck, Guanhua Chen, Liang Diao, David J. Edwards, Jennifer M. Fettweis, Snehalata Huzurbazar, Alexander Rakitin, Glen A. Satten, Ekaterina Smirnova, Zeev Waks, Michelle L. Wright, Chen Yanover, Yi-Hui Zhou 2017 Microbial Ecology in Health and Disease, 2017 Machine Learning 
Integrated multisystem analysis in a mental health and criminal justice ecosystem Falconer E, El-Hay T, Alevras D, Docherty J, Yanover C, Kalton A, Goldschmidt, Rosen-Zvi 2017 Health & Justice 5:4 2017 Machine Learning 
Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography Akselrod-Ballin, Ayelet; Karlinsky, Leonid.; Hazan, Alon; Bakalo, Ran; Horesh, Ami Ben; Shoshan, Yoel; Barkan, Ella 2017 Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support Medical Imaging 
Weakly Supervised DNN with AUC Loss for Classifcation of Imbalanced Mammogram Datasets J. Sulam, R. Ben-Ari and P. Kisilev 2017 EG VCBM 2017 Medical Imaging 
Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography A. Akselrod-Ballin, L. Karlinsky, A. Hazan, R. Bakalo, E. Barkan, A. Ben-Horesh 2017 DLMIA MICCAI 2017 Medical Imaging 
Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network Y. Choukroun, R. Bakalo, R. Ben-Ari, A. Akselrod-Ballin, E. Barkan and P. Kisilev 2017 EG VCBM 2017 Medical Imaging 
A CNN based Method for Mass Detection and Classification in Breast Mammography A. Akselrod-Ballin, L. Karlinsky, S. Alpert, S. Hasoul, E. Barkan 2017 Comp. in Bio. and Bio. Eng. Imag. & Vis. 2017 Medical Imaging 
Automatic Reporting of Lesion Location in Mammograms G. Amit, E. Barkan, N. M. Shani, A. Zlotnick, M. D. Kovacs, J. J. Reicher, M. A. Trambert, M. A. Reicher 2017 Computer Assisted Radiology and Surgery (CARS), 2017 Medical Imaging 
Hybrid Mass Detection in Breast MRI combining Unsupervised Saliency Analysis and Deep Learning G. Amit et al 2017 MICCAI 2017 Medical Imaging 
Classification of Breast MRI Lesions using Small-Size Training Sets: Comparison of Deep Learning Approaches Amit, G., Ben-Ari, R., Hadad, O., Monovich, E., Granot, N. and Hashoul, S 2017 In SPIE Medical Imaging (pp. 101341H-101341H). International Society for Optics and Photonics. 2017, March Medical Imaging 
Classification of Breast Lesions using Cross-Modal Deep Learning O. Hadad, R. Bakalo, R. Ben-Ari, S. Hashoul, G. Amit 2017 ISBI 2017 Medical Imaging 
Domain Specific Convolutional Neural Nets for Detection of Architectural Distortion in Mammograms R. Ben-Ari, A. Akselrod-Ballin, L. Karlinsky, S. Hashoul 2017 ISBI 2017 Medical Imaging 
Paradoxical Hypersusceptibility of Drug-resistant Mycobacteriumtuberculosis to β-lactam Antibiotics Cohen KA, El-Hay T, Wyres KL, Weissbrod O, Munsamy V, Yanover C, Aharonov R, Shaham O, Conway TC, Goldschmidt Y, Bishai WR, Pym AS. 2016 EBioMedicine 2016 Machine Learning 
Changing the approach to treatment choice in epilepsy using big data Devinsky O, Dilley C, Ozery-Flato M, Aharonov R, Goldschmidt Y, Rosen-Zvi M, Clark C, Fritz P 2016 Epilepsy and Behavior, 2016 Machine LearningSelected Work
Global epidemiology of drug resistance following failure of WHO recommended first line regimens for adult HIV-1 infection - an international collaborative study Gregson J. et al The TenoRes Study Group 2016 Lancet Infectious Diseases, 2016 Machine Learning 
Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study Michal Ozery-Flato, Liat Ein-Dor, Naama Parush-Shear-Yashuv, Ranit Aharonov, Hani Neuvirth, Martin S. Kohn, and Jianying Hu.. 2016 BigData2016 Machine Learning 
Driver gene classification reveals a substantial overrepresentation of tumor suppressors among very large chromatin-regulating proteins Zeev Waks, Omer Weissbrod, Boaz Carmeli, Raquel Norel, Filippo Utro, Yaara Goldschmidt. 2016 Scientific Reports 6, 2016, Article number: 38988, 2016 Machine Learning 
A Novel Computational Tool for Mining Real-Life Data: Application in the Metastatic Colorectal Cancer Care Setting Siegelmann-Danieli, Farkash, Katzir, Vesterman Landes, Rotem Rabinovich, Lomnicky, Carmeli, Parush-Shear-Yashuv. 2016 Plos One 2016 Machine Learning 
Healthcare innovations and improvements in a financially constrained environment The WE CARE consortium. Inger Ekman, Reinhard Busse, Ewout van Ginneken, Chris Van Hoof, Linde van Ittersum,Ab Klink, Jan A. Kremer, Marisa Miraldo, Anders Olauson, Walter De Raedt, Michal Rosen-Zvi, Valentina Strammiello, Jan Törnell, Karl Swedberg, 2016 Volume 387, No. 10019, p646–647, 2016 Machine Learning 
Medical sieve: a cognitive assistant for radiologists and cardiologists Syeda-Mahmood, T.; Walach, E.; Beymer, D.; Gilboa-Solomon, F.; Moradi, M.; Kisilev, P.; Kakrania, D.; Compas, C.; Wang, H.; Negahdar, R.; Cao, Y.; Baldwin, T.; Guo, Y.; Gur, Y.; Rajan, D.; Zlotnick, A.; Rabinovici-Cohen, S.; Ben-Ari, R.; Guy, Amit; Prasanna, P.; Morey, J.; Boyko, O.; Hashoul, S. 2016 Medical Imaging 2016: Computer-Aided Diagnosis Medical Imaging 
Medical image description using multi-task-loss CNN P. Kisilev, E. Sason, S. Hashoul, E. Barkan, E. Walach 2016 MICCAI DLMIA Medical Imaging 
Recognizing Architectural Distortion in Mammogram using pre-trained DNN R. Ben-Ari and S. Hashoul 2016 IBM Deep Learning Workshop, 2016 Medical Imaging 
Efficacy of an Automatic Decision Support System in Facilitating Diagnosis of Breast Diseases S. Hashoul, E. Walach, E. Barkan, P. Kisilev, S. Alpert, G. Amit and A. Khateeb 2016 European Congress of Radiology,2016 Medical Imaging 
A Weakly Labeled Approach for Breast Tissue Segmentation and Breast Density Estimation in Digital Mammography R. Ben-Ari, A. Zlotnick and S. Hashoul 2016 ISBI 2016 Medical Imaging 
NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning P. Kisilev and E. Meirom 2016 AISTATS 2016 Medical Imaging 
Semantic Object Boundary Detection Using Convolutional Neural Networks with Regression Output P. Kisilev and E. Sason 2016 IBM Deep Learning Workshop, 2016 Medical Imaging 
A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography A. Akselrod-Balin, L. Karlinsky, S. Alpert, S. Hashoul, R. Ben-Ari and E. Barkan 2016 MICCAI DLMIA workshop, 2016 Medical Imaging 
Learning to describe medical images using multi-task-loss CNN P. Kisilev, E. Sason, S. Hashoul and E. Barkan 2016 ECML, 2016 Medical Imaging 
Efficacy of an Automatic Decision Support System in Facilitating Diagnosis of the Thyroid Diseases S. Hashoul, E. Walach, A. Khateeb, A. Walach, G. Amit, R. Ben-Ari, E. Barkan and P. Kisilev 2016 RSNA, 2016 Medical Imaging 
Medical image description using multi-task-loss CNN P. Kisilev, E. Sason, S. Hashoul and E. Barkan 2016 MICCAI DLMIA workshop, 2016 Medical Imaging 
A system for identifying and investigating unexpected response to treatment Michal Ozery-Flato, Liat Ein-Dor, Hani Neuvirth, Naama Parush, Martin S. Kohn, Jianying Hu, and Ranit Aharonov, 2015 AMIA Jt Summits Transl Sci Proc. 137–141. 2015 Machine Learning 
A Cross Saliency Approach to Asymmetry Based Tumor Detection M. Erichov, S. Alpert ,P. Kisilev and S. Hashoul 2015 MICCAI 2015 Medical Imaging 
Automatic Dual-View Mass Detection in Full-Field Digital Mammograms, G. Amit, S. Hashoul, P. Kisilev, B. Ophir, E. Walach, A. Zlotnick 2015 MICCAI 2015 Medical Imaging 
Shape from Focus with Adaptive Focus Measure and High Order Derivatives Y. Frommer, R. Ben-Ari and N. Kiryati 2015 BMVC 2015 Medical Imaging 
Semantic Description of Medical Image Findings: Structured Learning Approach P. Kisilev, E. Walach, S. Hashoul, E. Barkan, B. Ophir and S. Alpert 2015 BMVC 2015 Medical Imaging 
Computational Mammography using Deep Neural Networks, Deep Learning Workshop A. Dubrovina, P. Kisilev, B. Ginsburg, S. Hashoul, and R. Kimmel 2015 MICCAI 2015 Medical Imaging 
Hybrid Unsupervised-Supervised Lesion Detection in Mammograms A. Zlotnick, B. Ophir and P. Kisilev 2015 SPIE MI 2015 Medical Imaging 
From Medical Image to Automatic Medical Report Generation P. Kisilev, E. Walach, E. Barkan, B. Ophir, S. Alpert and S. Hashoul 2015 IBM Research Journal Medical Imaging 
Automated Planning of Breast Radiotherapy using Cone Beam CT Imaging G. Amit and T. G. Purdie 2015 Medical Physics 42(2), 770-779, 2015 Medical Imaging 
Automatic learning-based beam angle selection for thoracic IMRT G. Amit, T. G. Purdie, A. Levinshtein, A. J. Hope, P. Lindsay, A. Marshall, D. A Jaffray and V. Pekar 2015 Medical Physics 42(4), 1992-2005, 2015 Medical Imaging 
Self-contained Information Retention Format (SIRF) S. Rabinovici-Cohen, M. Baker, R. Cumming, S. Fineberg and P. Viana 2015 SNIA Public Review 2015 Medical Imaging 

AI Publications

Title Author Year Conference/Journal Focus  
A New Data Augmentation Method for Intent Classification Enhancement and its Application on Spoken Conversation Datasets Zvi Kons, Aharon Satt, Hong-Kwang Kuo, Samuel Thomas, Boaz Carmeli, Ron Hoory, Brian Kingsbury 2022 ICASSP 2022 Speech, NLP Link
Towards a Common Speech Analysis Engine Hagai Aronowitz, Itai Gat, Edmilson Morais, Weizhong Zhu, Ron Hoory 2022 ICASSP 2022 Speech Link
Speaker Normalization for Self-Supervised Speech Emotion Recognition Itai Gat, Weizhong Zhu, Edmilson Morais, Ron Hoory, Hagai Aronowitz 2022 ICASSP 2022 Speech Link
Speech Emotion Recognition Using Self-Supervised Features Edmilson Morais, Ron Hoory, Weizhong Zhu, Itai Gat, Matheus Damasceno and Hagai Aronowitz 2022 ICASSP 2022 Speech Link
Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation. George Kour, Marcel Zalmanovici, Orna Raz, Samuel Ackerman, Ateret Anaby-Tavor . 2022 AAAI, EDSMLS 2022. NLP, AI Quality Link
Detecting model drift using polynomial relations. Eliran Roffe, Samuel Ackerman, Orna Raz, Eitan Farchi. 2022 AAAI, EDSMLS 2022. AI Quality Link
Acquiring conversational speaking style from multi-speaker spontaneous dialog corpus for prosody-controllable sequence-to-sequence speech synthesis A. Ben-David, S. Shechtman 2021 SSW 2021 Speech Link
Synthesis of expressive speaking styles with limited training data in a multi-speaker, prosody-controllable sequence-to-sequence architecture S. Shechtman, R. Fernandez, A. Sorin, D. Haws 2021 Interspeech 2021 Speech Link
Stable Checkpoint Selection and Evaluation in Sequence-to-Sequence Speech Synthesis S. Shechtman, D. Haws, R. Fernandez 2021 ICASSP 2021 Speech Link
RNN Transducer Models for Spoken Language Understanding Samuel Thomas, Jeff Kuo, George Saon, Zoltan Tuske, Gakuto Kurata, Zvi Kons, Ron Hoory, Brian Kingsbury 2021 ICASSP 2021 Speech Link
Supervised and Unsupervised Approaches for Controlling Narrow Lexical Focus in Sequence-to-Sequence Speech Synthesis S. Shechtman, R. Fernandez, D. Haws 2021 SLT 2021 Speech  
Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex Bronstein Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning 2021 AAAI Conference on Artificial Intelligence Vision Link
Rami Ben-Ari, Mor Shpigel, Ophir Azulai, Udi Barzelay, Daniel Rotman TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition 2021 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Vision Link
Daniel Rotman, Ophir Azulai, Inbar Shapira, Yevgeny Burshtein, Udi Barzelay Detection Masking for Improved OCR on Noisy Documents 2021 DI-2021: The Second Document Intelligence Workshop at KDD 2021 Vision Link
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogerio Feris, Raja Giryes, Leonid Karlinsky 2021 CVPR Vision Link
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification Leonid Karlinsky*, Joseph Shtok*, Amit Alfassy*, Moshe Lichtenstein*, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogerio Feris, Alexander Bronstein, Raja Giryes 2021 AAAI Vision Link
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification Sivan Doveh, Eli Schwartz, Chao Xue, Rogerio Feris, Alex Bronstein, Raja Giryes, Leonid Karlinsky 2021 Pattern Recognition Letters Vision Link
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data A Islam, CF Chen, R Panda, L Karlinsky, R Feris, RJ Radke 2021 NeurIPS Vision Link
Detector-Free Weakly Supervised Grounding by Separation Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky 2021 ICCV Vision Link
A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard Radke, Rogerio Feris 2021 ICCV Vision Link
Adafuse: Adaptive temporal fusion network for efficient action recognition Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogerio Feris 2021 ICLR Vision Link
CHARTER: heatmap-based multi-type chart data extraction Joseph Shtok, Sivan Harary, Ophir Azulai, Adi Raz Goldfarb, Assaf Arbelle, Leonid Karlinsky 2021 KDD DIW Vision  
Density-based interpretable hypercube region partitioning for mixed numeric and categorical data. Samuel Ackerman, Eitan Farchi, Orna Raz, Marcel Zalmanovici, Maya Zohar. 2021 JSM 2021. AI Quality Link
Machine Learning Model Drift Detection Via Weak Data Slices. Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici. 2021 ICSE, DeepTest 2021. AI Quality Link
An Autonomous Debating System Noam Slonim, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian and Ranit Aharonov 2021 Nature NLP  
Project Debater APIs: Decomposing the AI Grand Challenge Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz and Noam Slonim 2021 EMNLP (Demo) NLP  
Advances in Debating Technologies: Building AI That Can Debate Humans Roy Bar-Haim, Liat Ein-Dor, Matan Orbach, Elad Venezian, Noam Slonim 2021 ACL (Tutorial) NLP  
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim 2021 EMNLP NLP  
Every Bite Is an Experience: Key Point Analysis of Business Reviews Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim 2021 ACL NLP  
AI-Assisted Security Controls Mapping for Clouds Built for Regulated Workloads Vikas Agarwal, Roy Bar-Haim, Lilach Eden, Nisha Gupta, Yoav Kantor and Arun Kumar 2021 CLOUD NLP  
Overview of the 2021 Key Point Analysis Shared Task Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz and Noam Slonim 2021 ArgMining @ EMNLP NLP  
Summary Grounded Conversation Generation Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Sachindra Joshi, David Konopnicki 2021 Findings of ACL NLP  
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity Ofer Lavi, Ella Rabinovich, Segev Shlomov, David Boaz, Inbal Ronen, Ateret Anaby Tavor 2021 EMNLP NLP  
Using Question Answering Rewards to Improve Abstractive Summarization Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Ranit Aharonov, Sachindra Joshi 2021 Findings of EMNLP NLP  
TWEETSUMM - A Large Scale Dialog Summarization Dataset for Customer Service Guy Feigenblat, Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov 2021 Findings of EMNLP NLP  
Elad Amrani, Rami Ben-Ari, Inbar Shapira, Tal Hakim, Alex Bronstein Self-Supervised Object Detection and Retrieval Using Unlabeled Videos 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops Vision Link
Yair Shemer, Daniel Rotman, Nahum Shimkin ILS-SUMM: Iterated Local Search for Unsupervised Video Summarization 2020 International Conference on Pattern Recognition (ICPR) Vision Link
Daniel Rotman, Yevgeny Yaroker, Elad Amrani, Udi Barzelay, Rami Ben-Ari Learnable Optimal Sequential Grouping for Video Scene Detection 2020 ACM Multimedia Vision Link
Ar-net: Adaptive frame resolution for efficient action recognition Authors Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris 2020 ECCV Vision Link
OnlineAugment: Online data augmentation with less domain knowledge Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas 2020 ECCV Vision Link
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky 2020 ECCV Vision Link
A broader study of cross-domain few-shot learning Yunhui Guo, Noel C Codella, Leonid Karlinsky, James V Codella, John R Smith, Kate Saenko, Tajana Rosing, Rogerio Feris 2020 ECCV Vision Link
A Maximal Correlation Approach to Imposing Fairness in Machine Learning Joshua Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory Wornell, Leonid Karlinsky, Rogerio Feris 2020 arXiv preprint arXiv:2012.15259 Vision Link
New Advances in Speaker Diarization H. Aronowitz, W. Zhu, M. Suzuki, G. Kurata, R. Hoory 2020 Interspeech 2020 Speech Link
Siamese X-Vector Reconstruction for Domain Adapted Speaker Recognition S. Rozenberg, H. Aronowitz, R. Hoory 2020 Interspeech 2020 Speech Link
Principal Style Components: Expressive Style Control and Cross-Speaker Transfer in Neural TTS A. Sorin, S. Shechtman, R. Hoory 2020 Interspeech 2020 Speech Link
End-to-End Spoken Language Understanding without Full Transcripts H. Kuo, Z. Tuske, S. Thomas, Y. Huang, K. Audhkhasi , B. Kingsbury, G. Kurata, Z. Kons, R. Hoory, L. Lastras 2020 Interspeech 2020 Speech Link
Leveraging Unpaired Text Data for Training End-to-End Speech-to-Intent Systems Y. Huang, H. Kuo, S. Thomas, Z. Kons, K. Audhkhasi, B. Kingsbury, R. Hoory, M. Picheny 2020 ICASSP 2020 Speech Link
Context and Uncertainty Modeling for Online Speaker Change Detection H. Aronowitz, W. Zhu 2020 ICASSP 2020 Speech Link
Detection of data drift and outliers affecting machine learning model performance over time. Samuel Ackerman, Eitan Farchi, Orna Raz, Marcel Zalmanovici, Parijat Dube 2020 JSM Proceedings, Nonparametric Statistics Section, 2020. AI Quality Link
FreaAI: Automated extraction of data slices to test machine learning models. Samuel Ackerman, Orna Raz, Marcel Zalmanovici. 2020 AAAI, EDSMLS 2020. AI Quality Link
Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim 2020 EMNLP NLP  
Multilingual Argument Mining: Datasets and Analysis Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector and Noam Slonim 2020 Findings of EMNLP NLP  
The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim 2020 Findings of EMNLP NLP  
Active Learning for BERT: An Empirical Study Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz and Noam Slonim 2020 EMNLP NLP  
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Noam Slonim and Ranit Aharonov 2020 Findings of EMNLP NLP  
Out of the Echo Chamber: Detecting Countering Debate Speeches Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim 2020 ACL NLP  
From Arguments to Key Points: Towards Automatic Argument Summarization Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim 2020 ACL NLP  
A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov and Noam Slonim 2020 AAAI NLP  
Corpus wide argument mining - a working solution Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov and Noam Slonim 2020 AAAI NLP  
Agent Assist through Conversation Analysis Kshitij Fadnis, Nathaniel Mills, Jatin Ganhotra, Haggai Roitman, Gaurav Pandey, Doron Cohen, Yosi Mass, Shai Erera, Chulaka Gunasekara, Danish Contractor, Siva Patel, Q. Vera Liao, Sachindra Joshi, Luis Lastras, David Konopnicki 2020 EMNLP (Demo) NLP  
Conversational Document Prediction to Assist Customer Care Agents Jatin Ganhotra, Haggai Roitman, Doron Cohen, Nathaniel Mills, Chulaka Gunasekara, Yosi Mass, Sachindra Joshi, Luis Lastras, David Konopnicki 2020 EMNLP NLP  
Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2 Yosi Mass, Haggai Roitman 2020 EMNLP NLP  
Balancing via Generation for Multi-Class Text Classification Improvement Naama Tepper, Esther Goldbraich, Naama Zwerdling, George Kour, Ateret Anaby Tavor, Boaz Carmeli 2020 Findings of EMNLP NLP  
Unsupervised FAQ Retrieval with Question Generation and BERT Yosi Mass, Boaz Carmeli, Haggai Roitman, David Konopnicki 2020 ACL NLP  
Not Enough Data? Deep Learning to the Rescue! Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling 2020 AAAI NLP  
Improving Task-Oriented Dialogue Systems In Production with Conversation Logs Alon Jacovi, Ori Bar El, Ofer Lavi, David Boaz, David Amid, Inbal Ronen, Ateret Anaby Tavor 2020 KDD Converse NLP  
Financial Event Extraction Using Wikipedia-Based Weak Supervision Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder, Lena Dankin, Yonatan Bilu, Yoav Katz, Noam Slonim 2019 ECONLP @ EMNLP NLP  
Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation Tamar Lavee, Lili Kotlerman, Matan Orbach, Yonatan Bilu, Michal Jacovi, Ranit Aharonov, Noam Slonim 2019 AnnoNLP @ EMNLP (2019) NLP  
Automatic Argument Quality Assessment - New Datasets and Methods Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim 2019 EMNLP NLP  
A Dataset of General-Purpose Rebuttal Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov, Noam Slonim 2019 EMNLP NLP  
Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim 2019 ArgMining @ ACL NLP  
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion Roy Bar-haim, Dalia Krieger, Orith Toledo-ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim 2019 ACL NLP  
Argument Invention from First Principles Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim 2019 ACL NLP  
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim 2019 ACL NLP  
Syntactic interchangeability in word embedding models Daniel Hershcovich, Assaf Toledo, Alon Halfon, Noam Slonim 2019 Workshop on Evaluating Vector Space Representations for NLP@NAACL NLP  
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talk Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, and David Konopnicki 2019 ACL NLP  
A Summarization System for Scientific Documents Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Francesca Bonin, David Konopnicki 2019 EMNLP (Demo) NLP  
Automatically detecting data drift in machine learning classifiers. Samuel Ackerman, Orna Raz, Marcel Zalmanovici, Aviad Zlotnick . 2019 AAAI, EDSMLS 2019. AI Quality Link
High quality, lightweight and adaptable TTS using LPCNet Z. Kons, S. Shechtman, A. Sorin, C. Rabinovitz, R. Hoory 2019 Interspeech 2019 Speech Link
Sequence to Sequence Neural Speech Synthesis with Prosody Modification Capabilities S. Shechtman, A. Sorin 2019 SSW 2019 Speech Link
Daniel Rotman, Dror Porat, Yevgeny Burshtein, Udi Barzelay Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search 2019 AAAI Conference on Artificial Intelligence Vision Link
Elad Amrani, Rami Ben-Ari, Tal Hakim, Alex Bronstein Learning to Detect and Retrieve Objects From Unlabeled Videos 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) Vision Link
Baby steps towards few-shot learning with multiple semantics Eli Schwartz*, Leonid Karlinsky*, Rogerio Feris, Raja Giryes, Alex M Bronstein 2019 arXiv preprint arXiv:1906.01905 Vision Link
A CNN based method for automatic mass detection and classification in mammograms Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Hashoul, Rami Ben-Ari, Ella Barkan 2019 Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (CMBBE) Vision  
Repmet: Representative-based metric learning for classification and few-shot object detection Leonid Karlinsky*, Joseph Shtok*, Sivan Harary*, Eli Schwartz*, Amit Aides, Rogerio Feris, Raja Giryes, Alex M Bronstein 2019 CVPR Vision Link
Laso: Label-set operations networks for multi-label few-shot learning Amit Alfassy*, Leonid Karlinsky*, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M Bronstein 2019 CVPR Vision Link
Bridging the gap between ML solutions and their business requirements using combinatorial testing. Guy Barash, Eitan Farchi, Ilan Jayaraman, Orna Raz, Rachel Tzoref-Brill, Marcel Zalmanovici. 2019 FSE’19. AI Quality Link
Governance and Regulations Implications on Machine Learning Sima Nadler, Orna Raz, and Marcel Zalmanovici 2019 CSCML’19 AI Quality  
Optimizing hierarchical classification with adaptive nodes collapse Sujan Perera, Orna Raz, Ramani Routray, Shenghua Bao, Marcel Zalmanovici 2019 EDSMLS’19 AI Quality  
Proactive and Pervasive Combinatorial Testing Dale Blue, Orna Raz, Rachel Tzoref-Brill, Paul Wojciak, and Marcel Zalmanovici 2018 International Conference on Software Engineering AI Quality  
Neural TTS Voice Conversion Z. Kons, S. Shechtman, A. Sorin, R. Hoory, C. Rabinovitz, E. Da Silva Morais 2018 SLT 2018 Speech Link
Word Emphasis Prediction for Expressive Text to Speech Y. Mass, S. Shechtman, M. Mordechai, R. Hoory, O. Sar Shalom, G. Lev, D. Konopnicki 2018 Interspeech 2018 Speech Link
The IBM Virtual Voice Creator A. Sorin, S. Shechtman, Z. Kons, R. Hoory, S. Ben-David, J. Pavitt, S. Rozenberg, C. Rabinovitz, T. Drory 2018 Interspeech 2018 (Show & Tell demo) Speech Link
Robust Audiovisual Liveness Detection for Biometric Authentication Using Deep Joint Embedding and Dynamic Time Warping A. Aides, D. Dov. H. Aronowitz 2018 ICASSP 2018 Speech Link
Emphatic Speech Prosody Prediction with Deep LSTM Networks S. Shechtman, M. Mordechay 2018 ICASSP 2018 Speech Link
Daniel Rotman, Dror Porat, Gal Ashour, Udi Barzelay Optimally Grouped Deep Features Using Normalized Cost for Video Scene Detection 2018 ACM International Conference on Multimedia Retrieval (ICMR) Vision Link
Co-regularized alignment for unsupervised domain adaptation Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogerio Feris, Bill Freeman, Gregory Wornell 2018 NeurIPS Vision Link
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz*, Leonid Karlinsky*, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogerio Feris, Raja Giryes, Alex Bronstein 2018 NeurIPS Vision Link
Domain specific convolutional neural nets for detection of architectural distortion in mammograms Rami Ben-Ari, Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharbell Hashoul 2017 ISBI Vision Link
Fine-grained recognition of thousands of object categories with single-example training Leonid Karlinsky, Joseph Shtok, Yochay Tzur, Asaf Tzadok 2017 CVPR Vision Link
Hybrid remote expert-an emerging pattern of industrial remote support Ethan Hadar, Joseph Shtok, Benjamin Cohen, Yochay Tzur, Leonid Karlinsky 2017 CAISE 2017 Vision Link
Deep learning for automatic detection of abnormal findings in breast mammography Ayelet Akselrod-Ballin, Leonid Karlinsky, Alon Hazan, Ran Bakalo, Ami Ben Horesh, Yoel Shoshan, Ella Barkan 2017 Deep learning in medical image analysis and multimodal learning for clinical decision support Vision  
Daniel Rotman, Dror Porat, Gal Ashour Optimal Sequential Grouping for Robust Video Scene Detection Using Multiple Modalities 2017 International Journal of Semantic Computing Vision Link
Daniel Rotman, Dror Porat, Gal Ashour Robust Video Scene Detection Using Multimodal Fusion of Optimally Grouped Features 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP) Vision Link
The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016 K. A. Lee, V. Hautam¨aki, T. Kinnunen, A. Larcher, C. Zhang, A. Nautsch, T. Stafylakis, G. Liu, M. Rouvier, W. Rao, F. Alegre, J. Ma, M. W. Mak, A. K. Sarkar, H. Delgado, R. Saeidi, H. Aronowitz, et al 2017 Interspeech 2017 Speech Link
Semi Parametric Concatenative TTS with Instant Voice Modification Capabilities A. Sorin, S. Shechtman, A. Rendel 2017 Interspeech 2017 Speech Link
Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms A. Satt, S. Rozenberg, R. Hoory 2017 Interspeech 2017 Speech Link
Weakly-Supervised Phrase Assignment from Text in a Speech-Synthesis System Using Noisy Labels A. Rendel, R. Fernandez, Z. Kons, A. Rosenberg, R. Hoory, B. Ramabhadran 2017 Interspeech 2017 Speech Link
Voice-Transformation-Based Data Augmentation for Prosodic Classification R. Fernandez, A. Rosenberg, A. Sorin, B. Ramabhadran, R. Hoory 2017 ICASSP 2017 Speech Link
Speaker Recognition using Common Passphrases in RedDots H. Aronowitz 2017 in Proc. ICASSP, 2017 Speech Link
Inter Dataset Variability Modelling for Speaker Recognition H. Aronowitz 2017 ICASSP 2017 Speech Link
Daniel Rotman, Dror Porat, Gal Ashour Robust and Efficient Video Scene Detection Using Optimal Sequential Grouping 2016 IEEE International Symposium on Multimedia Vision Link
A region based convolutional network for tumor detection and classification in breast mammography Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Hasoul, Rami Ben-Ari, Ella Barkan 2016 Deep learning and data labeling for medical applications (DLDL) Vision  
Deep Learning and Data Labeling for Medical Applications A Akselrod-Ballin, L Karlinsky, S Alpert, S Hasoul, R Ben-Ari, E Barkan, G Carneiro 2016 Int. Work. Large-Scale Annot. Biomed. Data Expert Label Synth Vision  
Cluster-Based Test Suite Functional Analysis Marcel Zalmanovici, Orna Raz and Rachel Tzoref-Brill 2016 Symposium on the Foundations of Software Engineering (ESEC/FSE) AI Quality  
Text-Dependent Audiovisual Synchrony Detection for Spoofing Detection in Mobile Person Recognition A. Aides, H. Aronowitz 2016 Interspeech, 2016 Speech Link
Wideband Harmonic Model: Alignment and Noise Modeling for High Quality Speech Synthesis S. Shechtman, A. Sorin 2016 9th ISCA Speech Synthesis Workshop, 2016 Speech Link
Reducing Noise Bias in the i-Vector Space for Speaker Recognition Y. Solewicz, H. Aronowitz, T. Becker 2016 Speaker Oddysey, 2016 Speech Link
Using Continuous Lexical Embeddings to Improve Symbolic-Prosody Prediction in a Text-to-Speech Front-End A. Rendel, R. Fernandez, R. Hoory, B. Ramabhadran 2016 ICASSP, 2016 Speech Link
Speaker Recognition using Matched Filters H. Aronowitz 2016 ICASSP, 2016 Speech Link
Audio Enhancing with DNN Autoencoders for Speaker Recognition O.Plchot, L. Burget, H. Aronowitz, P. Majetka 2016 ICASSP, 2016 Speech Link
Using Deep Bidirectional Recurrent Neural Networks for Prosodic-Target Prediction in a Unit-Selection Text-to-Speech System R. Fernandez, A. Rendel, B. Ramabhadran, R. Hoory 2015 Interspeech, 2015 Speech Link
Exploiting Supervector Structure for Speaker Recognition Trained on a Small Development Set H. Aronowitz 2015 Interspeech, 2015 Speech Link
Score Stabilization for Speaker Recognition Trained on a Small Development Set H. Aronowitz 2015 Interspeech, 2015 Speech  
The RedDots Data Collection for Speaker Recognition K.A. Lee, A. Larcher, G.Wang, P. Kenny, N. Brummer, D. van Leeuwen, H. Aronowitz, M. Kockmann, C. Vaquero, B. Ma, H. Li, T. Stafylakis, J. Alam, A. Swart, J. Perez 2015 Interspeech, 2015 Speech Link
Coherent Modification of Pitch and Energy for Expressive Prosody Implantation A. Sorin, S. Shechtman, V. Pollet 2015 ICASSP, 2015 Speech Link
Chung-Ching Lin, Sharath Pankanti, Gal Ashour, Dror Porat, John R. Smith Moving camera analytics: Emerging scenarios, challenges, and applications 2015 IBM Journal of Research and Development Vision Link

Hybrid Cloud Publications

Title Author Year Conference/Journal Focus
ClusterLink: A Multi-Cluster Application Interconnect Kfir Toledo, Pravein Govindan Kannan, Michal Malka, Etai Lev-Ran, Katherine Barabash, Vita Bortnikov 2023 SYSTOR '23: 16th ACM International Conference on Systems and Storage
CloudPilot: Flow acceleration in the cloud Kfir Toledo, David Breitgand, Dean Lorenz, Isaac Keslassy 2023 Computer Networks: The International Journal of Computer and Telecommunications Networking
A case for an open customizable cloud network Kathy Barabash, David Breitgand, Etai Lev-Ran, Dean H. Lorenz, Danny Raz 2022 ACM SIGCOMM Computer Communication Review
DSON: JSON CRDT Using Delta-Mutations For Document Stores Arik Rinberg, Tomer Solomon, Roee Shlomo, Guy Khazma, Gal Lushi, Idit Keidar, Paula Ta-Shma 2022 VLDB International Conference on Very Large Data Bases
ADEPTUS: Hybrid Anomaly Detection and Prioritization for Network Logs at Cloud Scale David Ohana, Bruno Wassermann, Nicolas Dupuis, Hillel Kolodner, Eran Raichstein, Michal Malka 2022 EuroSys The European Conference on Computer Systems
CrawLabel: Computing Natural-Language Labels for UI Test Cases Yu Liu, Rahulkrishna Yandrapally, Anup Kalia, Saurabh Sinha, Rachel Tzoref-Brill, Ali Mesbah 2022 ACM/IEEE International Conference on Automation of Software Test (AST)
TACKLETEST: A Tool for Amplifying Test Generation via Type-Based Combinatorial Coverage Rachel Tzoref-Brill, Saurabh Sinha, Antonio Abu Nassar, Victoria Goldin, Haim Kermany 2022 IEEE International Conference on Software Testing, Verification and Validation (ICST)
Evaluating Cache performance using cloud storage traces Effi Ofer 2021 SNIA SDC EMEA
Serverless Cloud Data Lake with Spark for Serving Weather Data Torsten Steinbach, Paula Ta-Shma 2021 Subsurface: The Cloud Data Lake Conference
Load balancing with JET: just enough tracking for connection consistency Gal Mendelson, Shay Vargaftik, Dean Lorenz, Katherine Barabash, Isaac Keslassy, Ariel Orda 2021 ACM International Conference on emerging Networking EXperiments and Technologies
Length Preserving Compression‚ Marrying Encryption with Compression Doron Chen, Michael Factor, Ronen Kat, Danny Harnik, Eliad Tsfadia 2021 ACM International Systems and Storage Conference
Array CRDTs Using Delta-Mutations Paula Ta-Shma, Gal Lushi, Guy Khazma, Roee Shlomo, Tomer Solomon, Arik Rinberg 2021 Workshop on Principles and Practice of Consistency for Distributed Data
Automatic scalable system for the coverage-directed generation (CDG) problem R. Gal, E. Haber, W. Ibraheem, B. I. Z. Nevo, and A. Ziv 2021 DATE (Proceedings)
RAIDP: Replication with intra-disk parity Eitan Rosenfeld , Nadav Amit, Dan Tsafrir, Aviad Zuck, Michael Factor 2020 EuroSys The European Conference on Computer Systems
It's time to revisit LRU versus FIFO Ronen Kat, Effi Ofer, Ohad Eytan, Danny Harnik 2020 USENIX Workshop on Hot Topics in Storage and File Systems
Extensible Data Skipping Paula Ta-Shma, Guy Khazma, Gal Lushi, Oshrit Feder 2020 IEEE International Conference on Big Data
Db2 Event Store: A Purpose-Built IoT Database Engine Christian Garcia-Arellano, Hamdi Roumani, Richard Sidle, Josh Tiefenbach, Kostas Rakopoulos, Imran Sayyid, Adam Storm, Ronald Barber, Fatma Ozcan, Daniel Zilio, Alexander Cheung, Gidon Gershinsky, Hamid Pirahesh, David Kalmuk, Yuanyuan Tian, Matthew Spilchen, Lan Pham, Darren Pepper, Gal Lushi 2020 VLDB International Conference on Very Large Data Bases
The Verification Cockpit — A One-Stop Shop for Your Verification Data Alia Shah Eugene Rotter Divya Joshi Raviv Gal Avi Ziv 2020 DVCon 2020
Risk Analysis Based On Design Version Control Data Raviv Gal, Gil Shurek, Giora Simchoni, Avi Ziv 2019 MLCAD 2019
Clue: Evaluate the impact of your new training pipeline on existing models in production Bruno Wassermann, David Ohana 2019 O'Reilly AI Conference London
Defending via strategic ML selection Eitan Farchi, Onn Shehory, Guy Barash 2019 EDSMLS’19
Post-Silicon Validation of the IBM POWER8 Processor Kolan T., Mendelson H., Nahir A., Sokhin V. 2019 Mishra P., Farahmandi F. (eds) Post-Silicon Validation and Debug. Springer, Cham post_silicon
k-FAIR = k-LIVENESS + FAIR: Revisiting SAT-based Liveness Algorithms Alexander Ivrii, Ziv Nevo, Jason Baumgartner 2018 Formal Methods in Computer-Aided Design (FMCAD) Formal
Finding All Minimal Safe Inductive Sets Ryan Berryhill, Alexander Ivrii, Andreas G. Veneris 2018 Theory and Applications of Satisfiability Testing (SAT) Formal
AnchorHash: A Scalable Consistent Hash Dean Lorenz, Katherine Barabash, Shay Vargaftik, Gal Mendelson, Ariel Orda, Isaac Keslassy 2018 IEEE/ACM Transactions on Networking Formal
Modify, Enhance, Select: Co-Evolution of Combinatorial Models and Test Plans Rachel Tzoref-Brill and Shahar Maoz 2018 Symposium on the Foundations of Software Engineering (ESEC/FSE) SWQ
Syntactic and Semantic Differencing for Combinatorial Models of Test Designs Rachel Tzoref-Brill and Shahar Maoz 2017 International Conference on Software Engineering SWQ
Cost-Effective Analysis Of Post-Silicon Functional Coverage Events Avi Ziv, Ziv Nevo, Ronny Morad, prof. Prabhat Mishra and Farimah Farahmandi 2017 Design, Automation and Test in Europe (DATE) post_silicon
K-Induction Without Unrolling Arie Gurfinkel and Alexander Ivrii 2017 Formal Methods in Computer-Aided Design (FMCAD) Formal
Learning Support Sets In Ic3 And Quip: The Good, The Bad, And The Ugly Ryan Berryhill, Alexander Ivrii, Neil Veira and Andreas Veneris 2017 Formal Methods in Computer-Aided Design (FMCAD) Formal
Post-Silicon Validation In The Soc Era: A Tutorial Introduction Avi Ziv, Ronny Morad, Prof. Prabhat Mishra and Sandip Ray 2017 IEEE Design & Test journal, June post_silicon
Solving Constraint Satisfaction Problems Containing Vectors Of Unknown Size Erez Bilgory, Eyal Bin and Avi Ziv 2017 Principles and Practice of Constraint Programming (CP) CSP
Template Aware Coverage - Taking Coverage Analysis To The Next Level Avi Ziv, Michael Behm, Raviv Gal, Bryan Hickerson, Einat Kermany, Bilal Saleh 2017 Design Automation Conference (DAC)
Coverage-Based Metrics for Cloud Adaptation Yonit Magid, Rachel Tzoref-Brill, and Marcel Zalmanovici 2016 International Workshop on Quality-Aware DevOps (QUDOS) SWQ
Visualization of Combinatorial Models and Test Plans Rachel Tzoref-Brill, Paul Wojciak, and Shahar Maoz 2016 International Conference on Automated Software Engineering (ASE) SWQ
Constrained Sampling And Counting: Universal Hashing Meets SAT Solving Kuldeep S. Meel, Moshe Y. Vardi, Supratik Chakraborty, Daniel J. Fremont, Sanjit A. Seshia, Dror Fried, Alexander Ivrii, Sharad Malik 2016 AAAI Workshop
Designing Reliable Cyber-Physical Systems Gadi Aleksandrowicz, Eli Arbel, Roderick Bloem, Timon ter Braak, Sergei Devadze, Goerschwin Fey, Maksim Jenihhin, Artur Jutman, Hans G. Kerkhoff, Robert Könighofer, Jan Malburg, Shiri Moran, Jaan Raik, Gerard Rauwerda, Heinz Riener, Franz Röck ,Konstantin Shibin, Kim Sunesen, Jinbo Wan, Yong Zhao 2016 Forum on specification & Design Languages (FDL)
Gating Aware Error Injection Eli Arbel, Erez Barak, Bodo Hoppe, Shlomit Koyfman, Udo Krautz, Shiri Moran 2016 Haifa Verification Conference (HVC) Formal
Isa-Independent Post-Silicon Validation For The Address Translation Mechanisms Of Modern Microprocessors George PAPADIMITRIOU, Athanasios CHATZIDIMITRIOU, Dimitris GIZOPOULOS, Ronny MORAD 2016 On-Line Testing and Robust System Design (IOLTS) post_silicon
On Computing Minimal Independent Support And Its Applications To Sampling And Counting Moshe Y. Vardi, Sharad Malik, Alexander Ivrii, Kuldeep S. Meel 2016 Constraints - An International Journal, January Formal
Probabilistic Bug-Masking Analysis For Post-Silicon Tests In Microprocessor Verification Doowon Lee, Tom Kolan, Arkadiy Morgenshtein, Vitali Sokhin, Ronny Morad, Avi Ziv, Valeria Bertacco 2016 Design Automation Conference (DAC) post_silicon
Test Generation Methods For Utilization Improvement Of Hardware-Accelerated Simulation Platforms Wisam Kadry, Dmitry Krestyashyn, Arkadiy Morgenshtein, Amir Nahir, Vitali Sokhin, Jin Sung Park, Sung-Boem Park, Wookyeong Jeong, Jae-Cheol Son 2016 IEEE Design & Test , IEEE
The Art Of Semi-Formal Bug Hunting Pradeep Kumar Nalla, Raj Kumar Gajavelly, Jason Baumgartner, Hari Mony, Robert Kanzelman, Alexander Ivrii 2016 International Conference on Computer Aided Design (ICCAD) Formal
Unveiling Difficult Bugs In Address Translation Caching Arrays For Effective Post-Silicon Validation George Papadimitriou, Dimitris Gizopoulos, Athanasios Chatzidimitriou, Tom Kolan, Anatoly Koyfman, Ronny Morad and Vitali Sokhin 2016 International Conference on Computer Design (ICCD) post_silicon
Using Graph-Based CSP To Solve The Address Translation Problem Merav Aharoni, Yael Ben-Haim, Shai Doron, Anatoly Koyfman, Elena Tsanko and Michael Veksler 2016 Principles and Practice of Constraint Programming (CP) CSP
Lattice-Based Semantics for Combinatorial Model Evolution Rachel Tzoref-Brill and Shahar Maoz 2015 International Symposium on Automated Technology for Verification and Analysis (ATVA) SWQ
Combining Minimization and Generation for Combinatorial Testing Itai Segall, Rachel Tzoref-Brill, and Aviad Zlotnick 2015 International Workshop on Combinatorial Testing (IWCT) SWQ
Feedback-Driven Combinatorial Test Design and Execution Itai Segall and Rachel Tzoref-Brill 2015 International Systems and Storage Conference (Systor) SWQ
Comparative Study Of Test Generation Methods For Simulation Accelerators Wisam Kadry, Dmitry Krestyashyn, Arkadiy Morgenshtein, Amir Nahir, Vitali Sokhin, Jin Sung Park, Sung{-}Boem Park, Wookyeong Jeong, Jae{-}Cheol Son 2015 Design, Automation and Test in Europe (DATE)
Constrained Sampling And Counting - Universal Hashing Meets SAT Solving Supratik Chakraborty, Alexander Ivrii, Moshe Y. Vardi, Sharad Malik, Dror Fried, Daniel J. Fremont, Kuldeep S. Meel, Sanjit A. Seshia 2015 CoRR Formal
Designer-Level Verification – An Industrial Experience Story Stephen Bergman, Gabor Bobok, Walter Kowalski, Shlomit Koyfman, Shiri Moran, Ziv Nevo, Avigail Orni, Viresh Paruthi, Wolfgang Roesner, Gil Shurek, Vasantha Vuyyuru 2015 Design, Automation and Test in Europe (DATE)
Mining Backbone Literals In Incremental SAT - A New Kind Of Incremental Data Vadim Ryvchin, Alexander Ivrii, Ofer Strichman 2015 Theory and Applications of Satisfiability Testing (SAT) Formal
Pushing To The Top Arie Gurfinkel, Alexander Ivrii 2015 Formal Methods in Computer-Aided Design (FMCAD) . The paper received the Best Application Paper Award Formal
Rectangle Placement For Vlsi Testing Merav Aharoni, Odellia Boni, Ari Freund, Lidor Goren, Wesam Ibraheem, Tamir Segev 2015 Artificial Intelligence and Operations Research techniques in Constraint Programming (CPAIOR) CSP
Solutions To IBM Power8 Verification Challenges K.-D. Schubert, J. M. Ludden, S. Ayub, J. Behrend, B. Brock, F. Copty, S. M. German, O. Hershkovitz, H. Horbach, J. R. Jackson, K. Keuerleber, J. Koesters, L. S. Leitner, G. B. Meil, C. Meissner, R. Morad, A. Nahir, V. Paruthi, R. D. Peterson, R. R. Pratt, M. Rimon, J. A. Schumann 2015 IBM Journal of Research and Development Vol 59
Speeding Up Mus Extraction With Preprocessing And Chunking Valeriy Balabanov, Alexander Ivrii 2015 Theory and Applications of Satisfiability Testing (SAT) Formal
The Verifiation Cockpit - Creating The Dream Playground For Data Analytics Over The Verification Process Moab Arar, Michael Behm, Odellia Boni, Raviv Gal, Alex Goldin, Maxim Ilyaev, Einat Kermany, John Reysa, Bilal Saleh, Klaus-Dieter Schubert, Gil Shurek, Avi Ziv 2015 Haifa Verification Conference (HVC)

Quantum Publications

Title Author Year Conference/Journal  
Nonlocal correlations in noisy multiqubit systems simulated using matrix product operators Haggai Landa, Grégoire Misguich 2022 arXiv:2203.05871 Link
Practical Quantum State Tomography for Gibbs states Yotam Y Lifshitz, Eyal Bairey, Eli Arbel, Gadi Aleksandrowicz, Haggai Landa, Itai Arad 2021 Journal: arXiv:2112.10418 Link
Experimental implementation of non-Clifford interleaved randomized benchmarking with a controlled-S gate Shelly Garion, Naoki Kanazawa, Haggai Landa, David C. McKay, Sarah Sheldon, Andrew W. Cross, and Christopher J. Wood 2021 Phys. Rev. Research 3, 013204 Link
Simulating long-range hopping with periodically driven superconducting qubits Mor M. Roses, Haggai Landa, and Emanuele G. Dalla Torre 2021 Phys. Rev. Research 3, 033288 Link
Experimental Bayesian estimation of quantum state preparation, measurement, and gate errors in multi-qubit devices Haggai Landa, Dekel Meirom, Naoki Kanazawa, Mattias Fitzpatrick, Christopher J. Wood 2021 Phys. Rev. Res. 4, 013199 Link
Identification of symmetry-protected topological states on noisy quantum computers Daniel Azses, Rafael Haenel, Yehuda Naveh, Robert Raussendorf, Eran Sela, and Emanuele G. Dalla Torre 2020 Phys. Rev. Lett. 125, 120502 Link
Synthesis of CNOT-Dihedral circuits with optimal number of two qubit gates Shelly Garion and Andrew W. Cross 2020 Quantum 4, 369 Link

Security Publications

Title Author Year Conference/Journal Focus  
Privacy Preserving Feature Selection for Sparse Linear Regression Adi Akavia, Ben Galili, Hayim Shaul, Mor Weiss, Zohar Yakhini 2024 PoPETs '24 proceeding FHE Link
BLEACH: Cleaning Errors in Discrete Computations over CKKS Nir Drucker, Guy Moshkowich,Tomer Pelleg, and Hayim Shaul 2023 Journal of Cryptology FHE Link
Efficient Skip Connections Realization for Secure Inference on Encrypted Data Nir Drucker, Itamar Zimerman 2023 CSCML '23 proceeding FHE Link
Generating One-Hot Maps Under Encryption Ehud Aharoni, Nir Drucker, Eyal Kushnir, Ramy Masalha, Hayim Shaul 2023 CSCML '23 proceeding FHE Link
Efficient Privacy-Preserving Viral Strain Classification via k-mer Signatures and FHE Adi Akavia, Ben Galili, Hayim Shaul, Mor Weiss, Zohar Yakhini 2023 CSF 2023 FHE Link
[Best artifcat award] HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data Ehud Aharoni, Allon Adir, Moran Baruch, Nir Drucker, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Dov Murik, Hayim Shaul, Omri Soceanu 2023 PoPETs '23 proceeding FHE Link
HE-PEx: Efficient Machine Learning under Homomorphic Encryption using Pruning, Permutation and Expansion Ehud Aharoni, Moran Baruch, Pradip Bose, Alper Buyuktosunoglu, Nir Drucker, Subhankar Pal, Tomer Pelleg, Kanthi Sarpatwar, Hayim Shaul, Omri Soceanu, and Roman Vaculin 2023 arXiv, ESORICS '23 proceeding FHE Link
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption Moran Baruch, Nir Drucker, Gilad Ezov, Yoav Goldberg, Eyal Kushnir, Jenny Lerner, Omri Soceanu, Itamar Zimerman 2023 arXiv FHE Link
E2E near-standard and practical authenticated transciphering Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu 2023 ePrint FHE Link
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf 2023 arXiv FHE Link
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection Swanand Ravindra Kadhe, Heiko Ludwig, Nathalie Baracaldo, Alan King, Yi Zhou, Keith Houck, Ambrish Rawat, Mark Purcell, Naoise Holohan, Mikio Takeuchi, Ryo Kawahara, Nir Drucker, Hayim Shaul, Eyal Kushnir, Omri Soceanu 2023 arXiv FHE Link
Secure Range-Searching Using Copy-And-Recurse Eyal Kushnir, Guy Moshkowich, Hayim Shaul 2023 ePrint FHE Link
[Poster] Tile Tensors and HElayers recent advances and performance results Ehud Aharoni, Allon Adir, Moran Baruch, Nir Drucker, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Guy Moshkowich, Dov Murik, Hayim Shaul, Omri Soceanu 2023 PoPETs '23 proceeding FHE
[Poster] E2E near-standard hybrid encryption Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu 2023 pdf FHE Link
[Poster] Efficient AES-GCM Decryption Under Homomorphic Encryption Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu 2023 pdf, CCS '23 proceeding FHE Link
Link
[Tutorial] HEPack4ML: Advanced homomorphic encryption packing methods with applications to machine learning Ehud Aharoni, Nir Drucker and Hayim Shaul 2023 CCS 2023 [Tutorial webpage] FHE Link
[Keynote] Tutorial-HEPack4ML '23: Advanced HE Packing Methods with Applications to ML Ehud Aharoni, Nir Drucker and Hayim Shaul 2023 CCS '23 Tutorial HEPack4ML proceeding FHE Link
Demo: Rotating Wide Tensors with HElayers Ehud Aharoni, Nir Drucker and Hayim Shaul 2023 CCS '23 Tutorial HEPack4ML proceeding FHE Link
Complex Encoded Tile Tensors: Accelerating Encrypted Analytics Ehud Aharoni, Nir Drucker,Gilad Ezov,Hayim Shaul, and Omri Soceanu 2022 IEEE Security and Privacy Journal FHE Link
[Best regular paper award] Software Optimization of Rijndael for Modern x86-64 Platforms Nir Drucker and Shay Gueron 2022 ITNG '22 proceeding FHE Link
Timing leakage analysis of non-constant-time NTT implementations with Harvey butterflies Nir Drucker, and Tomer Pelleg 2022 CSCML '22 proceeding FHE Link
Privacy-preserving record linkage using local sensitive hash and private set intersection Allon Adir, Ehud Aharoni, Nir Drucker, Eyal Kushnir, Ramy Masalha, Michael Mirkin, Omri Soceanu 2022 Cloud S&P proceeding FHE Link
A methodology for training homomorphic encryption friendly neural networks Moran Baruch, Nir Drucker, Lev Greenberg, and Guy Moshkowich 2022 SiMLA '22 proceeding FHE Link
Secure SqueezeNet inference in 4 minutes Ehud Aharoni, Moran Baruch, Nir Drucker, Gilad Ezov, Eyal Kushnir, Guy Moshkowich, Omri Soceanu 2022 43rd IEEE Symposium on Security and Privacy s&p 2022 posters, pdf FHE Link
Link
[Tutorial] Advanced homomorphic encryption packing methods with applications to machine learning Ehud Aharoni, Nir Drucker and Hayim Shaul 2022 CCS 2022 [Tutorial webpage] FHE Link
Next Generation Data Masking Engine Micha Moffie, Sigal Asaf, Dan Mor, Ariel Farkash 2022 DPM 2021, CBT 2021. Lecture Notes in Computer Science, vol 13140. Springer, Cham. Cloud Security Link
NTT software optimization using an extended Harvey butterfly Bradbury Jonathan, Nir Drucker, Marius Hillenbrand 2021 ePrint FHE Link
Enhancing GDPR compliance through data sensitivity and data hiding tools Xabier Larrucea, Micha Moffie, Dan Mor 2021 The Journal of Universal Computer Science Cloud Security Link
Supporting unknown number of users in keystroke dynamics models. Itay Hazan, Oded Margalit, Lior Rokach. 2021 Knowledge-Based Systems 221 (2021): 106982. Cyber Security Link
Deep Learning Based Sequential Mining for User Authentication in Web Applications. Matan Levi and Itay Hazan. 2020 International Workshop on Emerging Technologies for Authorization and Authentication. Springer, Cham, 2020. Cyber Security Link
Keystroke dynamics obfuscation using key grouping. Itay Hazan, Oded Margalit, Lior Rokach. 2020 Expert Systems with Applications 143 (2020): 113091. Cyber Security Link
Deep reinforcement one-shot learning for artificially intelligent classification in expert aided systems. Anton Puzanov, Senyang Zhang, and Kobi Cohen. 2020 Engineering Applications of Artificial Intelligence 91 (2020): 103589 Cyber Security Link
Decompiled APK based malicious code classification. Roni Mateless, Daniel Rejabek, Oded Margalit, and Robert Moskovitch. 2020 Future Generation Computer Systems (2020): 0167-739X. Cyber Security Link
Improved Feature Engineering for Free-Text Keystroke Dynamics. International Workshop on Security and Trust Management. Eden Abadi and Itay Hazan. 2020 Springer, Cham, 2020. Cyber Security  
Anonymizing Machine Learning Models Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash 2020 International Workshop on Data Privact Management (DPM) Cloud Security Link
Data Minimization for GDPR Compliance in Machine Learning Models Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash 2020 AI and Ethics Cloud Security Link
Reducing Risk of Model Inversion Using Privacy-Guided Training Abigail Goldsteen, Gilad Ezov, Ariel Farkash 2020   Cloud Security Link
User profiling using sequential mining over web elements. Matan Levi and Itay Hazan. 2019 10th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) Cyber Security  
Securing keystroke dynamics from replay attacks. Itay Hazan, Oded Margalit, and Lior Rokach. 2019 Applied Soft Computing (2019): 105798. Cyber Security Link
Temporal Anomaly Detection: Calibrating the Surprise. Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, and Oded Sofer. 2019 AAAI 2019: 3755-3762 Cyber Security Link
Forgotten @ Scale: A Practical Solution for Implementing the Right To Be Forgotten in Large-Scale Systems Abigail Goldsteen, Tomer Douek, Yaniv Cohen, Igor Gokhman, Ofir Keren-Ackerman, Gadi Katsovich, Grisha Weintraub, and Doron Ben-Ari 2019 Workshop on Security and Privacy in Models and Data. International Conference on Model and Data Engineering Cloud Security Link
Multi-Value Classification of Ambiguous Personal Data Sigal Asaf, Ariel Farkash and Micha Moffie 2019 Workshop on Security and Privacy in Models and Data. International Conference on Model and Data Engineering Cloud Security Link
Deep reinforcement one-shot learning for change point detection. Anton Puzanov, and Kobi Cohen. 2018 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2018. Cyber Security Link
Advanced Analytics for Connected Car Cybersecurity. Matan Levi, Yair Allouche, and Aryeh Kontorovich. 2018 VTC Spring 2018: 1-7 Cyber Security Link
Simulating user activity for assessing effect of sampling on DB activity monitoring anomaly detection. Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, and Bracha Shapira. 2018 Policy-Based Autonomic Data Governance 2018 Cyber Security Link
Brief Announcement. Adversarial Evasion of an Adaptive Version of Western Electric Rules. Oded Margalit. 2018 CSCML 2018: 278-282 Cyber Security Link
A Syntactic Approach to Domain-Specific Automatic Question Generation. Guy Danon and Mark Last. 2017 eprint arXiv:1712.09827 (12/2017) Cyber Security  
Supervised Detection of Infected Machines Using Anti-virus Induced Labels - (Extended Abstract). Tomer Cohen, Danny Hendler, and Dennis Potashnik. 2017 CSCML 2017: 34-49 Cyber Security  
Cluster-Based Load Balancing for Better Network Security. Gal Frishman, Yaniv Ben-Itzhak, and Oded Margalit. 2017 Big-DAMA@SIGCOMM 2017: 7-12 Cyber Security  
Visualizing Insider Threats: An Effective Interface for Security Analytics. Bar Haim, Eitan Menahem, Yaron Wolfsthal, and Christopher Meenan. 2017 IUI Companion 2017: 39-42 Cyber Security  
Brief Announcement: A Consent Management Solution for Enterprises Abigail Goldsteen, Shelly Garion, Sima Nadler, Natalia Razinkov, Yosef Moatti and Paula Ta-Shma 2017 International Symposium on Cyber Security Cryptography and Machine Learning (CSCML 2017) Cloud Security Link
XML-AD: Detecting anomalous patterns in XML documents. Eitan Menahem, Alon Schclar, Lior Rokach, and Yuval Elovici. 2016 Inf. Sci. 326: 71-88 (2016) Cyber Security  
Analysis and Mitigation of NoSQL Injections. Aviv Ron, Alexandra Shulman-Peleg, and Anton Puzanov. 2016 IEEE Security & Privacy 14(2): 30-39 (2016) Cyber Security  
Using Computer Programming Competition for Cyber Education. Oded Margalit. 2016 SwSTE 2016: 104-107 Cyber Security