Ali Oskooei
Orcid: 0000-0002-8318-687X
According to our database1,
Ali Oskooei
authored at least 11 papers
between 2017 and 2021.
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Bibliography
2021
Proceedings of the 2021 International Conference on Data Mining, 2021
2020
PaccMann: a web service for interpretable anticancer compound sensitivity prediction.
Nucleic Acids Res., 2020
CoRR, 2020
PaccMann<sup>RL</sup>: Designing Anticancer Drugs From Transcriptomic Data via Reinforcement Learning.
Proceedings of the Research in Computational Molecular Biology, 2020
2019
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data.
CoRR, 2019
Reinforcement learning-driven de-novo design of anticancer compounds conditioned on biomolecular profiles.
CoRR, 2019
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders.
CoRR, 2019
2018
PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks.
CoRR, 2018
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer.
CoRR, 2018
2017
Deep-Reaching Hydrodynamic Flow Confinement: Micrometer-Scale Liquid Localization for Open Substrates With Topographical Variations.
IEEE Trans. Biomed. Eng., 2017