Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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Year

29 results for Cristiano Malossi

Incremental training of deep convolutional neural networks
- - Roxana Istrate
  - Cristiano Malossi
  - et al.
- 2017
- AutoML 2017
First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD
- - Valery Weber
  - Cristiano Malossi
  - et al.
- 2016
- ISC 2016
The Impact of Voltage-Frequency Scaling for the Matrix-Vector Product on the IBM POWER8
- - Sandra Catalan
  - Cristiano Malossi
  - et al.
- 2016
- EuroPar 2016
Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance
- - Peter Staar
  - Panagiotis Kl. Barkoutsos
  - et al.
- 2016
- IPDPS 2016
Performance and Energy-Aware Characterization of the Sparse Matrix-Vector Multiplication on Multithreaded Architectures
- - Cristiano Malossi
  - Yves Ineichen
  - et al.
- 2014
- ICPPW 2014
Fast Exponential Computation on SIMD Architectures
- - Cristiano Malossi
  - Yves Ineichen
  - et al.
- 2015
- HiPEAC 2015
Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures
- - Klara Janouskova
  - Mattia Rigotti
  - et al.
- 2022
- ECCV 2022
Active Learning for Imbalanced Civil Infrastructure Data
- - Thomas Frick
  - Diego Antognini
  - et al.
- 2022
- ECCV 2022
Incremental Training of Deep Convolutional Neural Networks
- - Sureshbabu R
  - Cristiano Malossi
  - et al.
- 2017
- AutoML 2017
Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE)
- - Jason Tsay
  - Andrea Bartezzaghi
  - et al.
- 2022
- arXiv