Akiva Kleinerman

According to our database, Akiva Kleinerman authored at least 5 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies.

David Benrimoh, Akiva Kleinerman, Toshi A. Furukawa, Charles F. Reynolds III, Eric Lenze, Jordan Karp, Benoit H. Mulsant, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Myriam Tanguay-Sela, Christina Popescu, Grace Golden, Sabrina Qassim, Alexandra Anacleto, Adam Kapelner, Ariel Rosenfeld, Gustavo Turecki

CoRR, 2023

2021

Supporting users in finding successful matches in reciprocal recommender systems.

Akiva Kleinerman, Ariel Rosenfeld, Francesco Ricci, Sarit Kraus

User Model. User Adapt. Interact., 2021

2019

Big Data Analytics and AI in Mental Healthcare.

Ariel Rosenfeld, David Benrimoh, Caitrin Armstrong, Nykan Mirchi, Timothe Langlois-Therrien, Colleen Rollins, Myriam Tanguay-Sela, Joseph Mehltretter, Robert Fratila, Sonia Israel, Emily Snook, Kelly Perlman, Akiva Kleinerman, Bechara Saab, Mark Thoburn, Cheryl Gabbay, Amit Yaniv-Rosenfeld

CoRR, 2019

2018

Providing explanations for recommendations in reciprocal environments.

Akiva Kleinerman, Ariel Rosenfeld, Sarit Kraus

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Optimally balancing receiver and recommended users' importance in reciprocal recommender systems.

Akiva Kleinerman, Ariel Rosenfeld, Francesco Ricci, Sarit Kraus

Proceedings of the 12th ACM Conference on Recommender Systems, 2018