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2020 – today
- 2021
[c2]Stavroula Skylaki, Ali Oskooei, Omar Bari, Nadja Herger, Zac Kriegman:
Legal Entity Extraction using a Pointer Generator Network. ICDM (Workshops) 2021: 653-658- 2020
- [j2]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): W502-W508 (2020) - [c1]Jannis Born, Matteo Manica, Ali Oskooei, Joris Cadow, María Rodríguez Martínez:
PaccMannRL: Designing Anticancer Drugs From Transcriptomic Data via Reinforcement Learning. RECOMB 2020: 231-233 - [i7]Stavroula Skylaki, Ali Oskooei, Omar Bari, Nadja Herger, Zac Kriegman:
Named Entity Recognition in the Legal Domain using a Pointer Generator Network. CoRR abs/2012.09936 (2020)
2010 – 2019
- 2019
- [i6]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 abs/1904.11223 (2019) - [i5]Jannis Born, Matteo Manica, Ali Oskooei, María Rodríguez Martínez:
Reinforcement learning-driven de-novo design of anticancer compounds conditioned on biomolecular profiles. CoRR abs/1909.05114 (2019) - [i4]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 abs/1911.13213 (2019) - [i3]Matteo Manica, Ali Oskooei, Jannis Born:
AI Enables Explainable Drug Sensitivity Screenings. ERCIM News 2019(118) (2019) - 2018
- [i2]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 abs/1808.06603 (2018) - [i1]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 abs/1811.06802 (2018) - 2017
- [j1]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): 1261-1269 (2017)
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