Learning a Bayesian Network Classifier by Jointly Maximizing Accuracy and Information. - Dan Halbersberg; Boaz Lerner (ECAI, 2016)

Temporal Modeling of Deterioration Patterns and Clustering for Disease Prediction of ALS Patients. - Dan Halbersberg; Boaz Lerner (ICMLA, 2019)

Local to Global Learning of a Latent Dynamic Bayesian Network. - Dan Halbersberg; Boaz Lerner (ECAI, 2020)

Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata. - Dan Halbersberg; Aharon Bar-Hillel; Shon Mendelson; Daniel A. Koster; Lena Karol; Boaz Lerner (CoRR, 2020)

Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier. - Dan Halbersberg; Maydan Wienreb; Boaz Lerner (Mach. Learn., 2020)

Revenue Maximization at Waterfall Auctions with Dynamic Programming. - Dan Halbersberg; Matan Halevi; Moshe Salhov (IEEE Big Data, 2022)

Search and Score-Based Waterfall Auction Optimization. - Dan Halbersberg; Matan Halevi; Moshe Salhov (LION, 2022)

Temporal-Based Action Graph with Sequential Pattern Mining for ChuRN Detection: a Playtika Case Study. - Dan Halbersberg; Roni Yasinnik; Matan Halevi; Moshe Salhov (ICMLA, 2023)