Knowledge-based configuration of videos using feature models. - Sebastian Lubos; Markus Tautschnig; Alexander Felfernig; Viet-Man Le (SPLC (B), 2022)

Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare. - Seda Polat Erdeniz; Michael Schrempf; Diether Kramer; Peter P. Rainer; Alexander Felfernig; Thi Ngoc Trang Tran; Tamim Burgstaller; Sebastian Lubos (AIME, 2023)

Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support. - Seda Polat Erdeniz; Thi Ngoc Trang Tran; Alexander Felfernig; Sebastian Lubos; Michael Schrempf; Diether Kramer; Peter P. Rainer (BIBM, 2023)

Solving Constraint Satisfaction Problems with Database Queries: An Overview. - Alexander Felfernig; Viet-Man Le; Albert Haag; Sebastian Lubos (ConfWS, 2023)

Collaborative Recommendation of Search Heuristics For Constraint Solvers. - Damian Garber; Tamim Burgstaller; Alexander Felfernig; Viet-Man Le; Sebastian Lubos; Trang Tran 002; Seda Polat Erdeniz (ConfWS, 2023)

Specifying Configurable Videos with Feature Models. - Sebastian Lubos; Alexander Felfernig; Viet-Man Le (ConfWS, 2023)

Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver. - Benjamin Ritz; Alexander Felfernig; Viet-Man Le; Sebastian Lubos (ConfWS, 2023)

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics. - Seda Polat Erdeniz; Diether Kramer; Michael Schrempf; Peter P. Rainer; Alexander Felfernig; Thi Ngoc Trang Tran; Tamim Burgstaller; Sebastian Lubos (dHealth, 2023)

Concentrating on the Impact: Consequence-based Explanations in Recommender Systems. - Sebastian Lubos; Thi Ngoc Trang Tran; Seda Polat Erdeniz; Merfat El Mansi; Alexander Felfernig; Manfred Wundara; Gerhard Leitner (IntRS@RecSys, 2023)

Perfect Match in Video Retrieval. - Sebastian Lubos; Massimiliano Rubino; Christian Tautschnig; Markus Tautschnig; Boda Wen; Klaus Schoeffmann; Alexander Felfernig (MMM (1), 2023)

Analysis Operations for Constraint-based Recommender Systems. - Sebastian Lubos; Viet-Man Le; Alexander Felfernig; Thi Ngoc Trang Tran (RecSys, 2023)

Analysis Operations On The Run: Feature Model Analysis in Constraint-based Recommender Systems. - Sebastian Lubos; Alexander Felfernig; Viet-Man Le; Thi Ngoc Trang Tran; David Benavides 001; José A. Zamudio; Damian Garber (SPLC (A), 2023)

Conjunctive Query Based Constraint Solving For Feature Model Configuration. - Alexander Felfernig; Viet-Man Le; Sebastian Lubos (CoRR, 2023)

Sports Recommender Systems: Overview and Research Issues. - Alexander Felfernig; Manfred Wundara; Thi Ngoc Trang Tran; Viet-Man Le; Sebastian Lubos; Seda Polat Erdeniz (CoRR, 2023)

Exploiting Large Language Models for the Automated Generation of Constraint Satisfaction Problems. - Lothar Hotz; Christian Bähnisch; Sebastian Lubos; Alexander Felfernig; Albert Haag; Johannes Twiefel (ConfWS, 2024)

Responsible Configuration Using LLM-based Sustainability-Aware Explanations. - Sebastian Lubos; Alexander Felfernig; Lothar Hotz; Thi Ngoc Trang Tran; Seda Polat Erdeniz; Viet-Man Le; Damian Garber; Merfat El Mansi (ConfWS, 2024)

Integrating the Mechanisms of Critiquing-based Recommendation into Constraint Solving. - Pavle Knezevic; Alexander Felfernig; Sebastian Lubos (IntRS@RecSys, 2024)

Leveraging LLMs for the Quality Assurance of Software Requirements. - Sebastian Lubos; Alexander Felfernig; Thi Ngoc Trang Tran; Damian Garber; Merfat El Mansi; Seda Polat Erdeniz; Viet-Man Le (RE, 2024)

Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems. - Thi Ngoc Trang Tran; Seda Polat Erdeniz; Alexander Felfernig; Sebastian Lubos; Merfat El Mansi; Viet-Man Le (RecSys, 2024)

Improving Recommender Systems with Large Language Models. - Sebastian Lubos (UMAP (Adjunct Publication), 2024)

LLM-generated Explanations for Recommender Systems. - Sebastian Lubos; Thi Ngoc Trang Tran; Alexander Felfernig; Seda Polat Erdeniz; Viet-Man Le (UMAP (Adjunct Publication), 2024)

Evaluating Performance and Trends in Interactive Video Retrieval: Insights From the 12th VBS Competition. - Lucia Vadicamo; Rahel Arnold; Werner Bailer; Fabio Carrara; Cathal Gurrin; Nico Hezel; Xinghan Li; Jakub Lokoc; Sebastian Lubos; Zhixin Ma 001; Nicola Messina; Thao-Nhu Nguyen; et al. (IEEE Access, 2024)

Recommender systems for sustainability: overview and research issues. - Alexander Felfernig; Manfred Wundara; Thi Ngoc Trang Tran; Seda Polat Erdeniz; Sebastian Lubos; Merfat El Mansi; Damian Garber; Viet-Man Le (Frontiers Big Data, 2024)

An overview of video recommender systems: state-of-the-art and research issues. - Sebastian Lubos; Alexander Felfernig; Markus Tautschnig (Frontiers Big Data, 2024)

Knowledge-based recommender systems: overview and research directions. - Mathias Uta; Alexander Felfernig; Viet-Man Le; Thi Ngoc Trang Tran; Damian Garber; Sebastian Lubos; Tamim Burgstaller (Frontiers Big Data, 2024)

Sports recommender systems: overview and research directions. - Alexander Felfernig; Manfred Wundara; Thi Ngoc Trang Tran; Viet-Man Le; Sebastian Lubos; Seda Polat Erdeniz (J. Intell. Inf. Syst., 2024)

Enhanced Optimization Space Learning: Towards Real-Time Compiler Optimization. - Damian Garber; Sebastian Lubos; Viet-Man Le; Alexander Felfernig (IEA/AIE (1), 2025)

Evaluating Large Language Models for the Automated Generation of Software Requirements. - Thomas Puchleitner; Sebastian Lubos; Alexander Felfernig; Damian Garber (IEA/AIE (2), 2025)

InteractiveReq: Enhancing Software Requirement Specification with Critiquing-based Recommender Systems. - Sebastian Lubos; Alexander Felfernig; Damian Garber; Viet-Man Le; Manuel Henrich; Reinhard Willfort; Ivan Dukic (UMAP (Adjunct Publication), 2025)

Towards Group Decision Support with LLM-based Meeting Analysis. - Sebastian Lubos; Alexander Felfernig; Damian Garber; Viet-Man Le; Manuel Henrich; Reinhard Willfort; Jeremias Fuchs (UMAP (Adjunct Publication), 2025)

Leveraging LLMs to Explain the Consequences of Recommendations. - Sebastian Lubos; Michael Gartner; Alexander Felfernig; Reinhard Willfort (UMAP, 2025)

Causality-based Explanations for Feature Model Configuration. - Alexander Felfernig; Damian Garber; Viet-Man Le; Sebastian Lubos (VaMoS, 2025)

Towards LLM-Enhanced Group Recommender Systems. - Sebastian Lubos; Alexander Felfernig; Thi Ngoc Trang Tran; Viet-Man Le; Damian Garber; Manuel Henrich; Reinhard Willfort; Jeremias Fuchs (CoRR, 2025)

Sustainability Evaluation Metrics for Recommender Systems. - Alexander Felfernig; Damian Garber; Viet-Man Le; Sebastian Lubos; Thi Ngoc Trang Tran (CoRR, 2025)

Towards LLM-Enhanced Product Line Scoping. - Alexander Felfernig; Damian Garber; Viet-Man Le; Sebastian Lubos; Thi Ngoc Trang Tran (CoRR, 2025)