Ali Oskooei

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 11

Top Topics

Prediction Accuracy

Entity Extraction

Reinforcement Learning

Top Venues

ICDM (Workshops)

Nucleic Acids Res.

Publications

Stavroula Skylaki, Ali Oskooei, Omar Bari, Nadja Herger, Zac Kriegman
Legal Entity Extraction using a Pointer Generator Network. ICDM (Workshops) (2021)
Joris Cadow, Jannis Born, Matteo Manica, Ali Oskooei, María Rodríguez Martínez
PaccMann: a web service for interpretable anticancer compound sensitivity prediction. Nucleic Acids Res. 48 (Webserver-Issue) (2020)
Stavroula Skylaki, Ali Oskooei, Omar Bari, Nadja Herger, Zac Kriegman
Named Entity Recognition in the Legal Domain using a Pointer Generator Network. CoRR (2020)
Jannis Born, Matteo Manica, Ali Oskooei, Joris Cadow, María Rodríguez Martínez
: Designing Anticancer Drugs From Transcriptomic Data via Reinforcement Learning. RECOMB (2020)
Ali Oskooei, Sophie Mai Chau, Jonas R. M. Weiss, Arvind Sridhar, María Rodríguez Martínez, Bruno Michel
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data. CoRR (2019)
Matteo Manica, Ali Oskooei, Jannis Born, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders. CoRR (2019)
Matteo Manica, Ali Oskooei, Jannis Born
AI Enables Explainable Drug Sensitivity Screenings. ERCIM News 2019 (118) (2019)
Jannis Born, Matteo Manica, Ali Oskooei, María Rodríguez Martínez
Reinforcement learning-driven de-novo design of anticancer compounds conditioned on biomolecular profiles. CoRR (2019)
Ali Oskooei, Jannis Born, Matteo Manica, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez
PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks. CoRR (2018)
Ali Oskooei, Matteo Manica, Roland Mathis, María Rodríguez Martínez
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer. CoRR (2018)
Ali Oskooei, Govind V. Kaigala
Deep-Reaching Hydrodynamic Flow Confinement: Micrometer-Scale Liquid Localization for Open Substrates With Topographical Variations. IEEE Trans. Biomed. Eng. 64 (6) (2017)