activity
20182020
most citedTowards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders

163 citations · 223 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2020★ 10 cited

Named Entity Recognition in the Legal Domain using a Pointer Generator Network

Stavroula Skylaki, Ali Oskooei, Omar Bari +2

Named Entity Recognition (NER) is the task of identifying and classifying named entities in unstructured text. In the legal domain, named entities of interest may include the case…

cs.LG2019★ 1 cited

DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data

Ali Oskooei, Sophie Mai Chau, Jonas Weiss +3

In this work we perform a study of various unsupervised methods to identify mental stress in firefighter trainees based on unlabeled heart rate variability data. We collect RR inte…

q-bio.BM2019★ 21 cited

PaccMann: Designing anticancer drugs from transcriptomic data via reinforcement learning

Jannis Born, Matteo Manica, Ali Oskooei +3

With the advent of deep generative models in computational chemistry, in silico anticancer drug design has undergone an unprecedented transformation. While state-of-the-art deep le…

cs.LG2019★ 163 cited

Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders

Matteo Manica, Ali Oskooei, Jannis Born +3

In line with recent advances in neural drug design and sensitivity prediction, we propose a novel architecture for interpretable prediction of anticancer compound sensitivity using…

cs.LG2018★ 27 cited

PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks

Ali Oskooei, Jannis Born, Matteo Manica +3

We present a novel approach for the prediction of anticancer compound sensitivity by means of multi-modal attention-based neural networks (PaccMann). In our approach, we integrate…

math.LO2018

Free sequences in P(ω)/fin

David Chodounský, Vera Fischer, Jan Grebík

We investigate maximal free sequences in the Boolean algebra , as defined by D. Monk. We provide some information on the general structure of these obj…

physics.ins-det2018★ 1 cited

Analyte-localization device for point-of-use processing of sub-millimetre areas on surfaces

Ali Oskooei, Govind Kaigala

We present a portable, simple-to-operate, point-of-use analyte surface localization device. We take advantage of a set of hydrodynamic design features and components that achieve p…