Ali Oskooei

Thomson Reuters (Switzerland) — Switzerland

Computer Science · Physical Sciences

12h-index780citations25works0.02yr avg
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Research Topics

Computational Drug Discovery Methods(8), Microfluidic and Capillary Electrophoresis Applications(7), Bioinformatics and Genomic Networks(5), Innovative Microfluidic and Catalytic Techniques Innovation(5), Topic Modeling(3)

Publications25 total

Legal Entity Extraction using a Pointer Generator Network
2021 International Conference on Data Mining Workshops (ICDMW)·2021· 7 cited
PaccMannRL: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning
iScience·2021· 90 citedOpen Access
Named Entity Recognition in the Legal Domain using a Pointer Generator\n Network
arXiv (Cornell University)·2020Open Access
Named Entity Recognition in the Legal Domain using a Pointer Generator Network
arXiv (Cornell University)·2020· 9 citedOpen Access
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-Rate Variability (HRV) Data
Studies in computational intelligence·2020· 45 cited
PaccMann: a web service for interpretable anticancer compound sensitivity prediction
Nucleic Acids Research·2020· 77 citedOpen Access
PaccMannRL: Designing anticancer drugs from transcriptomic data via reinforcement learning
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data
Zenodo (CERN European Organization for Nuclear Research)·2019· 3 citedOpen Access
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data
arXiv (Cornell University)·2019· 1 citedOpen Access
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer
Scientific Reports·2019· 4 citedOpen Access
Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional Encoders
Molecular Pharmaceutics·2019· 145 citedOpen Access
Reinforcement learning-driven de-novo design of anticancer compounds conditioned on biomolecular profiles.
arXiv (Cornell University)·2019Open Access
AI Enables Explainable Drug Sensitivity Screenings.
ERCIM news/ERCIM news online edition·2019
PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks
arXiv (Cornell University)·2018· 27 citedOpen Access
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity\n Prediction and Drug Sensitivity Biomarker Identification in Cancer
arXiv (Cornell University)·2018Open Access
Hydrodynamics in Cell Studies
Chemical Reviews·2018· 119 citedOpen Access
Analyte-localization device for point-of-use processing of sub-millimetre areas on surfaces
Sensors and Actuators B Chemical·2017· 1 citedOpen Access
Deep-Reaching Hydrodynamic Flow Confinement: Micrometer-Scale Liquid Localization for Open Substrates With Topographical Variations
IEEE Transactions on Biomedical Engineering·2016· 7 cited
Bubble pump: scalable strategy for in-plane liquid routing
Lab on a Chip·2015· 15 cited
Shaken, and stirred: oscillatory segmented flow for controlled size-evolution of colloidal nanomaterials
Lab on a Chip·2014· 40 cited
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Frequent Co-authors

María Rodríguez Martínez(11), Matteo Manica(9), Jannis Born(7), Axel Günther(4), Govind V. Kaigala(3), Joris Cadow(3), Sophie Chau(3), Bruno Michel(3), Stavroula Skylaki(3), Zac Kriegman(3), Vigneshwari Subramanian(2), Julio Sáez-Rodríguez(2), Chih‐Wei Wang(2), David Sinton(2), Matthew G. Moffitt(2), Arvind Sridhar(2), Milad Abolhasani(2), Omar Bari(2), Nadja Herger(2), Jonas Weiß(2)