A Physics Inspired Approach to the Understanding of Molecular Representations and Models
- Luke Dicks
- David Graff
- et al.
- 2024
- MSDE
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141 results for Explainable AI
From Pixels to Diagnosis: Algorithmic Analysis of Clinical Oral Photos for Early Detection of Oral Squamous Cell Carcinoma
- Simona Rabinovici-Cohen
- Naomi Fridman
- et al.
- 2024
- Cancers
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
- Giridhar Ganapavarapu
- Sumanta Mukherjee
- et al.
- 2023
- KDD 2023
Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection
- Sahil Suneja
- Yufan Zhuang
- et al.
- 2023
- ACM TOSEM
A historical perspective of biomedical explainable AI research
- Luca Malinverno
- Vesna Barros
- et al.
- 2023
- Patterns
Explainability for Natural Language Processing
- Marina Danilevsky
- Shipi Dhanorkar
- et al.
- 2021
- KDD 2021
Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning
- Rupesh Raj Karn
- Prabhakar Kudva
- et al.
- 2021
- IEEE TPDS
Future Workload and Cloud Resource Usage: Insights from an Interpretable Forecasting Model
- 2024
- Big Data 2024
Using Large Language Models to Understand Suicidality in a Social Media–Based Taxonomy of Mental Health Disorders: Linguistic Analysis of Reddit Posts
- Brian Bauer
- Raquel Norel
- et al.
- 2024
- JMIR Mental Health
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
- Jiaoyan Chen
- Hang Dong
- et al.
- 2024
- TGDK