Oleg Lesota - RankMe

33 papers A* 4A 5B 3Misc 1Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems. CoRR Zihan Li, Gustavo Escobedo, Marta Moscati, Oleg Lesota, Markus Schedl
2026	—	`conf`	Extending Logic Tensor Networks to Implicit Feedback for Representation-Aware Music Recommendation. ECIR (3) Hannah Eckert, Oleg Lesota, Markus Schedl
2025	—	`conf`	Enhancing Music Recommender Systems with Multimedia Content: A Context-Aware Approach. ISMIR Oleg Lesota, Veronica Clavijo, Attia Rizwani, Markus Schedl, Bruce Ferwerda
2025	A	`conf`	Fine-tuning for Inference-efficient Calibrated Recommendations. RecSys Oleg Lesota, Adrian Bajko, Max Walder, Matthias Wenzel, Antonela Tommasel, Markus Schedl
2025	J	`jnl`	Iguanodon: A Code-Breaking Game for Improving Visualization Construction Literacy. IEEE Trans. Vis. Comput. Graph. Patrick Adelberger, Oleg Lesota, Klaus Eckelt, Markus Schedl, Marc Streit
2025	A	`conf`	Investigating Carbon Footprint of Recommender Systems Beyond Training Time. RecSys Josef Schodl, Oleg Lesota, Antonela Tommasel, Markus Schedl
2025	—	`conf`	Investigating Music Track Liking in the Halo of Album Covers. ISMIR Oleg Lesota, Anna Hausberger, Ivanna Pshenychna, Oleksandr Shvydanenko, Olha Yehorova, Markus Schedl
2024	A	`conf`	Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems. RecSys Oleg Lesota, Jonas Geiger, Max Walder, Dominik Kowald, Markus Schedl
2024	J	`jnl`	Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems. CoRR Oleg Lesota, Jonas Geiger, Max Walder, Dominik Kowald, Markus Schedl
2024	J	`jnl`	Spin-Wave Voices: Sonification of Nanoscale Spin Waves as an Engagement and Research Tool. CoRR Santa Pile, Oleg Lesota, Silvan David Peter, Christina Humer, Martin Gasser
2024	J	`jnl`	The Importance of Cognitive Biases in the Recommendation Ecosystem. CoRR Markus Schedl, Oleg Lesota, Stefan Brandl, Mohammad Lotfi, Gustavo Junior Escobedo Ticona, Shahed Masoudian
2024	—	`conf`	The Importance of Cognitive Biases in the Recommendation Ecosystem: Evidence of Feature-Positive Effect, Ikea Effect, and Cultural Homophily. IntRS@RecSys Markus Schedl, Oleg Lesota, Shahed Masoudian
2023	A*	`conf`	Computational Versus Perceived Popularity Miscalibration in Recommender Systems. SIGIR Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2023	J	`jnl`	Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation. Int. J. Multim. Inf. Retr. Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Fritzl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
2023	B	`conf`	Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results. CHIIR Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz
2023	A	`conf`	Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
2023	J	`jnl`	Parameter-efficient Modularised Bias Mitigation via AdapterFusion. CoRR Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
2022	B	`conf`	EmoMTB: Emotion-aware Music Tower Blocks. ICMR Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
2022	—	`conf`	Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization. MORS@RecSys Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2022	J	`jnl`	Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results. CoRR Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz
2022	B	`conf`	LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis. CHIIR Markus Schedl, Stefan Brandl, Oleg Lesota, Emilia Parada-Cabaleiro, David Penz, Navid Rekabsaz
2022	—	`conf`	Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms. ISMIR Oleg Lesota, Emilia Parada-Cabaleiro, Stefan Brandl, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2022	A*	`conf`	Unlearning Protected User Attributes in Recommendations with Adversarial Training. SIGIR Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl
2022	J	`jnl`	Unlearning Protected User Attributes in Recommendations with Adversarial Training. CoRR Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl
2021	Misc	`conf`	A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. ICTIR Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
2021	J	`jnl`	A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. CoRR Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
2021	A	`conf`	Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? RecSys Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021	J	`jnl`	Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? CoRR Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021	J	`jnl`	Investigating gender fairness of recommendation algorithms in the music domain. Inf. Process. Manag. Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada-Cabaleiro, Stefan Brandl, Oleg Lesota, Markus Schedl
2021	A*	`conf`	Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. SIGIR Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff
2021	J	`jnl`	Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. CoRR Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff
2021	A*	`conf`	TripClick: The Log Files of a Large Health Web Search Engine. SIGIR Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff
2021	J	`jnl`	TripClick: The Log Files of a Large Health Web Search Engine. CoRR Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff