activity
20122023
most citedDetecting drug-drug interactions using artificial neural networks and classic graph similarity measures

105 citations · 414 across the 31 of their papers we have counts for

collaborators
Showing 2019Show all

13 papers · 1 filter

cs.LG2019★ 5 cited

Diversifying Database Activity Monitoring with Bandits

Hagit Grushka-Cohen, Ofer Biller, Oded Sofer +2

Database activity monitoring (DAM) systems are commonly used by organizations to protect the organizational data, knowledge and intellectual properties. In order to protect organiz…

cs.LG2019★ 16 cited

Deep Context-Aware Recommender System Utilizing Sequential Latent Context

Amit Livne, Moshe Unger, Bracha Shapira +1

Context-aware recommender systems (CARSs) apply sensing and analysis of user context in order to provide personalized services. Adding context to a recommendation model is challeng…

cs.IR2019★ 1 cited

Assessing the Quality of Scientific Papers

Roman Vainshtein, Gilad Katz, Bracha Shapira +1

A multitude of factors are responsible for the overall quality of scientific papers, including readability, linguistic quality, fluency,semantic complexity, and of course domain-sp…

eess.SP2019★ 26 cited

Clustering Wi-Fi Fingerprints for Indoor-Outdoor Detection

Guy Shtar, Bracha Shapira, Lior Rokach

This paper presents a method for continuous indoor-outdoor environment detection on mobile devices based solely on WiFi fingerprints. Detection of indoor outdoor switching is an im…

cs.AI2019★ 36 cited

A difficulty ranking approach to personalization in E-learning

Avi Segal, Kobi Gal, Guy Shani +1

The prevalence of e-learning systems and on-line courses has made educational material widely accessible to students of varying abilities and backgrounds. There is thus a growing n…

cs.LG2019★ 6 cited

New Item Consumption Prediction Using Deep Learning

Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica +2

Recommendation systems have become ubiquitous in today's online world and are an integral part of practically every e-commerce platform. While traditional recommender systems use c…