105 citations · 501 across the 65 of their papers we have counts for
11 papers · 1 filter
Automatic selection of clustering algorithms using supervised graph embedding
Noy Cohen-Shapira, Lior Rokach
The widespread adoption of machine learning (ML) techniques and the extensive expertise required to apply them have led to increased interest in automated ML solutions that reduce…
Approximating Aggregated SQL Queries With LSTM Networks
Nir Regev, Lior Rokach, Asaf Shabtai
Despite continuous investments in data technologies, the latency of querying data still poses a significant challenge. Modern analytic solutions require near real-time responsivene…
Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet
Victor Makarenkov, Lior Rokach
One of the challenges in the NLP field is training large classification models, a task that is both difficult and tedious. It is even harder when GPU hardware is unavailable. The i…
Evolving Context-Aware Recommender Systems With Users in Mind
Amit Livne, Eliad Shem Tov, Adir Solomon +3
A context-aware recommender system (CARS) applies sensing and analysis of user context to provide personalized services. The contextual information can be driven from sensors in or…
A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach
Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira +2
Testing is an important part of tackling the COVID-19 pandemic. Availability of testing is a bottleneck due to constrained resources and effective prioritization of individuals is…
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate
Amit Livne, Roy Dor, Eyal Mazuz +3
The click-through rate (CTR) reflects the ratio of clicks on a specific item to its total number of views. It has significant impact on websites' advertising revenue. Learning soph…