Breadth-first, Depth-next Training of Random Forests
- Andreea Simona Anghel
- Nikolas Ioannou
- et al.
- 2019
- NeurIPS 2019
Workshop paper
Publications
47 results at NeurIPS 2019
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
- 2019
- NeurIPS 2019
Workshop paperDrug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies
- Subramanyas Shivashankar
- Ioana Baldini Soares
- et al.
- 2019
- NeurIPS 2019
Workshop paperEstimating Skin Tone and Effects on Classification Performance in Dermatology Datasets
- Newton Kinyanjui
- Timothy Odonga
- et al.
- 2019
- NeurIPS 2019
Workshop paperDistributional Actor-Critic for Risk-Sensitive Multi-Agent Reinforcement Learning
- Ngoc Lan Hoang
- Edward Pyzer-Knapp
- 2019
- NeurIPS 2019
Workshop paperPaccMannRL: Designing anticancer drugs from transcriptomic data via reinforcement learning
- Jannis Born
- Matteo Manica
- et al.
- 2019
- NeurIPS 2019
Workshop paperTensor graph neural networks for learning on time varying graphs
- Osman Asif Malik
- Shashanka Ubaru
- et al.
- 2019
- NeurIPS 2019
Workshop paper