| 2026 | AAAI | Fidelity-Aware Recommendation Explanations via Stochastic Path Integration. | Oren Barkan, Yahlly Schein, Yehonatan Elisha, Veronika Bogina, Mikhail Baklanov, Noam Koenigstein |
| 2026 | IUI | Hitchhiker's Guide to Temporal Analysis: Modeling, Causality, and Visualization for User Interaction Data. | Veronika Bogina, Julia Sheidin |
| 2026 | IUI | Feasibility of Activity Fingerprints for Glucose Prediction. | Veronika Bogina, Tal Yahalom-Peri, Tsvi Kuflik, Einat Kodesh, Tali Cukierman-Yaffe |
| 2025 | SIGIR | Refining Fidelity Metrics for Explainable Recommendations. | Mikhail Baklanov, Veronika Bogina, Yehonatan Elisha, Yahlly Schein, Liron I. Allerhand, Oren Barkan, Noam Koenigstein |
| 2024 | WWW | A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems. | Oren Barkan, Veronika Bogina, Liya Gurevitch, Yuval Asher, Noam Koenigstein |
| 2022 | IUI | Using Wearables Data for Differentiating Between Injured and Non-Injured Athletes. | Maya Reiner, Einat Kodesh, Veronika Bogina, Shany Funk, Tsvi Kuflik |
| 2020 | AVI | Visualizing Program Genres' Temporal-Based Similarity in Linear TV Recommendations. | Veronika Bogina, Julia Sheidin, Tsvi Kuflik, Shlomo Berkovsky |
| 2019 | IUI | Intelligent user interfaces for algorithmic transparency in emerging technologies. | Styliani Kleanthous, Tsvi Kuflik, Jahna Otterbacher, Alan Hartman, Casey Dugan, Veronika Bogina |
| 2017 | RecSys | The 1st International Workshop on Temporal Reasoning in Recommender Systems. | Mria Bielikov, Veronika Bogina, Tsvi Kuflik, Roy Sasson |
| 2017 | RecSys | Incorporating Dwell Time in Session-Based Recommendations with Recurrent Neural Networks. | Veronika Bogina, Tsvi Kuflik |
| 2016 | IUI | Learning Item Temporal Dynamics for Predicting Buying Sessions. | Veronika Bogina, Tsvi Kuflik, Osnat Mokryn |