105 citations · 501 across the 65 of their papers we have counts for
15 papers · 1 filter
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines
Doron Laadan, Roman Vainshtein, Yarden Curiel +2
The explosion of digital data has created multiple opportunities for organizations and individuals to leverage machine learning (ML) to transform the way they operate. However, the…
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering
Yuval Heffetz, Roman Vainstein, Gilad Katz +1
Automatic machine learning (AutoML) is an area of research aimed at automating machine learning (ML) activities that currently require human experts. One of the most challenging ta…
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…
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…
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…
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…