Publications

1677 results for Machine Learning

Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation
- - Tomas Bueno Momcilovic
  - Beat Buesser
  - et al.
- 2024
- xAI 2024
Workshop paper
Quantifying Representation Reliability in Self-Supervised Learning Models
- - Young Jin Park
  - Hao Wang
  - et al.
- 2024
- UAI 2024
Conference paper
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
- - Natalia Martinez Gil
  - Dhaval Patel
  - et al.
- 2024
- UAI 2024
Conference paper
Bayesian Optimization with Setup Switching Cost
- - Stefan Pricopie
  - Richard Allmendinger
  - et al.
- 2024
- GECCO 2024
Poster
Optimizing CAR T cell design using quantum convolutional neural networks
- - Sara Capponi
  - Kahn Rhrissorrakrai
  - et al.
- 2024
- ISMB 2024
Talk
Cross Dataset Verification of Cell Type Annotation using a Transcriptomic Biomedical Foundation Model: Inflammatory Bowel Disease Use Case
- - Akihiro Kosugi
  - Vibha Anand
  - et al.
- 2024
- ISMB 2024
Poster
Contextualizing Single-Cell Analyses: An AI Pipeline for Evidence Search from Literature and Gene Databases
- - Joao Bettencourt-Silva
  - Natasha Mulligan
  - et al.
- 2024
- ISMB 2024
Poster
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- - Raúl Fernández Díaz
  - Lam Thanh Hoang
  - et al.
- 2024
- ISMB 2024
Poster
Identifying Putative Gene Markers: A Biomedical Foundation Model-based Approach for Cell Type Annotation
- - Uri Kartoun
  - Akira Koseki
  - et al.
- 2024
- ISMB 2024
Poster
AutoPeptideML: A study on how to build more trustworthy peptide bioactivity predictors
- - Raúl Fernández Díaz
  - Rodrigo Cossio-pérez
  - et al.
- 2024
- ISMB 2024
Poster