Veronika Bogina

29 papers A* 3A 3B 1Journal 10Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Feasibility of Activity Fingerprints for Glucose Prediction. IUI Companion Veronika Bogina, Tal Yahalom-Peri, Tsvi Kuflik, Einat Kodesh, Tali Cukierman-Yaffe
2026	A*	`conf`	Fidelity-Aware Recommendation Explanations via Stochastic Path Integration. AAAI Oren Barkan, Yahlly Schein, Yehonatan Elisha, Veronika Bogina, Mikhail Baklanov, Noam Koenigstein
2026	—	`conf`	Hitchhiker's Guide to Temporal Analysis: Modeling, Causality, and Visualization for User Interaction Data. IUI Companion Veronika Bogina, Julia Sheidin
2026	J	`jnl`	LXR: Learning to eXplain Recommendations. Trans. Recomm. Syst. Liya Gurevitch, Veronika Bogina, Oren Barkan, Yahlly Schein, Yehonatan Elisha, Noam Koenigstein
2025	J	`jnl`	Fidelity-Aware Recommendation Explanations via Stochastic Path Integration. CoRR Oren Barkan, Yahlly Schein, Yehonatan Elisha, Veronika Bogina, Mikhail Baklanov, Noam Koenigstein
2025	J	`jnl`	KPAR: Knowledge-aware Path-based Attentive Recommender with Interpretability. Trans. Recomm. Syst. Leigh Eytan, Veronika Bogina, Irad Ben-Gal, Noam Koenigstein
2025	A*	`conf`	Refining Fidelity Metrics for Explainable Recommendations. SIGIR Mikhail Baklanov, Veronika Bogina, Yehonatan Elisha, Yahlly Schein, Liron I. Allerhand, Oren Barkan, Noam Koenigstein
2025	A	`conf`	Unveiling Creativity in Student Code: A Gaussian Mixture Model Approach. UMAP Veronika Bogina, Arnon Hershkovitz, Noam Koenigstein
2024	A*	`conf`	A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems. WWW Oren Barkan, Veronika Bogina, Liya Gurevitch, Yuval Asher, Noam Koenigstein
2023	J	`jnl`	Considering temporal aspects in recommender systems: a survey. User Model. User Adapt. Interact. Veronika Bogina, Tsvi Kuflik, Dietmar Jannach, Mária Bieliková, Michal Kompan, Christoph Trattner
2023	J	`jnl`	Mitigating Bias in Algorithmic Systems - A Fish-eye View. ACM Comput. Surv. Kalia Orphanou, Jahna Otterbacher, Styliani Kleanthous, Khuyagbaatar Batsuren, Fausto Giunchiglia, Veronika Bogina, Avital Shulner-Tal, Alan Hartman, Tsvi Kuflik
2022	J	`jnl`	Educating Software and AI Stakeholders About Algorithmic Fairness, Accountability, Transparency and Ethics. Int. J. Artif. Intell. Educ. Veronika Bogina, Alan Hartman, Tsvi Kuflik, Avital Shulner-Tal
2022	J	`jnl`	Incorporating time-interval sequences in linear TV for next-item prediction. Expert Syst. Appl. Veronika Bogina, Yuri Variat, Tsvi Kuflik, Eyal Dim
2022	—	`conf`	Using Wearables Data for Differentiating Between Injured and Non-Injured Athletes. IUI Companion Maya Reiner, Einat Kodesh, Veronika Bogina, Shany Funk, Tsvi Kuflik
2021	J	`jnl`	Mitigating Bias in Algorithmic Systems: A Fish-Eye View of Problems and Solutions Across Domains. CoRR Kalia Orphanou, Jahna Otterbacher, Styliani Kleanthous, Khuyagbaatar Batsuren, Fausto Giunchiglia, Veronika Bogina, Avital Shulner-Tal, Alan Hartman, Tsvi Kuflik
2021	J	`jnl`	Towards Algorithmic Transparency: A Diversity Perspective. CoRR Fausto Giunchiglia, Jahna Otterbacher, Styliani Kleanthous, Khuyagbaatar Batsuren, Veronika Bogina, Tsvi Kuflik, Avital Shulner-Tal
2020	B	`conf`	Visualizing Program Genres' Temporal-Based Similarity in Linear TV Recommendations. AVI Veronika Bogina, Julia Sheidin, Tsvi Kuflik, Shlomo Berkovsky
2019	—	`conf`	"End to End" Towards a Framework for Reducing Biases and Promoting Transparency of Algorithmic Systems. SMAP Avital Shulner-Tal, Khuyagbaatar Batsuren, Veronika Bogina, Fausto Giunchiglia, Alan Hartman, Styliani Kleanthous Loizou, Tsvi Kuflik, Jahna Otterbacher
2019	—	`conf`	A Museum Visitors Classification Based On Behavioral and Demographic Features. UMAP (Adjunct Publication) Moayad Mokatren, Veronika Bogina, Alan J. Wecker, Tsvi Kuflik
2019	—	`conf`	FairUMAP 2019 Chairs' Welcome Overview. UMAP (Adjunct Publication) Bettina Berendt, Veronika Bogina, Robin Burke, Michael D. Ekstrand, Alan Hartman, Styliani Kleanthous, Tsvi Kuflik, Bamshad Mobasher, Jahna Otterbacher
2019	—	`conf`	Intelligent user interfaces for algorithmic transparency in emerging technologies. IUI Companion Styliani Kleanthous, Tsvi Kuflik, Jahna Otterbacher, Alan Hartman, Casey Dugan, Veronika Bogina
2019	J	`jnl`	Will this session end with a purchase? Inferring current purchase intent of anonymous visitors. Electron. Commer. Res. Appl. Osnat Mokryn, Veronika Bogina, Tsvi Kuflik
2017	—	`conf`	Addressing Temporal Aspects in User Modelling. UMAP (Adjunct Publication) Veronika Bogina
2017	—	`conf`	Incorporating Dwell Time in Session-Based Recommendations with Recurrent Neural Networks. RecTemp@RecSys Veronika Bogina, Tsvi Kuflik
2017	—	`ed.`	Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems co-located with 11th International Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27-31, 2017. RecTemp@RecSys Mária Bieliková, Veronika Bogina, Tsvi Kuflik, Roy Sasson
2017	A	`conf`	The 1st International Workshop on Temporal Reasoning in Recommender Systems. RecSys Mária Bieliková, Veronika Bogina, Tsvi Kuflik, Roy Sasson
2017	—	`conf`	UMAP 2017 THUM Workshop Chairs' Welcome & Organization. UMAP (Adjunct Publication) Cataldo Musto, Amon Rapp, Veronika Bogina, Federica Cena, Frank Hopfgartner, Judy Kay, David Konopnicki, Tsvi Kuflik, Bamshad Mobasher, Giovanni Semeraro
2016	—	`conf`	Building a Bridge between User-Adaptive Systems Evaluation and Software Testing. UMAP (Extended Proceedings) Veronika Bogina, Tsvi Kuflik
2016	A	`conf`	Learning Item Temporal Dynamics for Predicting Buying Sessions. IUI Veronika Bogina, Tsvi Kuflik, Osnat Mokryn