Recommendation Technologies for IoT Edge Devices. - Alexander Felfernig; Seda Polat Erdeniz; Michael Jeran; Arda Akcay; Paolo Azzoni; Matteo Maiero; Charalampos Doukas (FNC/MobiSPC, 2017)

Cluster-Specific Heuristics for Constraint Solving. - Seda Polat Erdeniz; Alexander Felfernig; Muesluem Atas; Thi Ngoc Trang Tran; Michael Jeran; Martin Stettinger (IEA/AIE (1), 2017)

An Analysis of Group Recommendation Heuristics for High- and Low-Involvement Items. - Alexander Felfernig; Muesluem Atas; Thi Ngoc Trang Tran; Martin Stettinger; Seda Polat Erdeniz; Gerhard Leitner (IEA/AIE (1), 2017)

Recommender Systems for IoT Enabled m-Health Applications. - Seda Polat Erdeniz; Ilias Maglogiannis; Andreas Menychtas; Alexander Felfernig; Thi Ngoc Trang Tran (AIAI (Workshops), 2018)

LearnDiag: A Direct Diagnosis Algorithm Based On Learned Heuristics. - Seda Polat Erdeniz; Alexander Felfernig; Muesluem Atas (KI, 2018)

Anytime diagnosis for reconfiguration. - Alexander Felfernig; Rouven Walter; José Angel Galindo; David Benavides 001; Seda Polat Erdeniz; Müslüm Atas; Stefan Reiterer (J. Intell. Inf. Syst., 2018)

Towards Similarity-Aware Constraint-Based Recommendation. - Muesluem Atas; Thi Ngoc Trang Tran; Alexander Felfernig; Seda Polat Erdeniz; Ralph Samer; Martin Stettinger (IEA/AIE, 2019)

Learned Constraint Ordering for Consistency Based Direct Diagnosis. - Seda Polat Erdeniz; Alexander Felfernig; Muesluem Atas (IEA/AIE, 2019)

Matrix factorization based heuristics for constraint-based recommenders. - Seda Polat Erdeniz; Alexander Felfernig; Ralph Samer; Muesluem Atas (SAC, 2019)

Socially-Aware Diagnosis for Constraint-Based Recommendation. - Muesluem Atas; Ralph Samer; Alexander Felfernig; Thi Ngoc Trang Tran; Seda Polat Erdeniz; Martin Stettinger (UMAP, 2019)

An overview of recommender systems in the internet of things. - Alexander Felfernig; Seda Polat Erdeniz; Christoph Uran; Stefan Reiterer; Muesluem Atas; Thi Ngoc Trang Tran; Paolo Azzoni; Csaba Király 002; Koustabh Dolui (J. Intell. Inf. Syst., 2019)

Matrix Factorization Based Heuristics Learning for Solving Constraint Satisfaction Problems. - Seda Polat Erdeniz; Ralph Samer; Muesluem Atas (ISMIS, 2020)

Recommender systems for IoT enabled quantified-self applications. - Seda Polat Erdeniz; Andreas Menychtas; Ilias Maglogiannis; Alexander Felfernig; Thi Ngoc Trang Tran (Evol. Syst., 2020)

Comparing Genetic Algorithms and Matrix Factorization for Learning Heuristics in Constraint Solving. - Seda Polat Erdeniz; Andrei Popescu 005 (ConfWS, 2021)

Configuring Multiple Instances with Multi-Configuration. - Alexander Felfernig; Andrei Popescu 005; Mathias Uta; Viet-Man Le; Seda Polat Erdeniz; Martin Stettinger; Müslüm Atas; Thi Ngoc Trang Tran (ConfWS, 2021)

Counteracting Exam Cheating by Leveraging Configuration and Recommendation Techniques. - Viet-Man Le; Thi Ngoc Trang Tran; Martin Stettinger; Lisa Weißl; Alexander Felfernig; Müslüm Atas; Seda Polat Erdeniz; Andrei Popescu 005 (ConfWS, 2021)

Towards psychology-aware preference construction in recommender systems: Overview and research issues. - Müslüm Atas; Alexander Felfernig; Seda Polat Erdeniz; Andrei Popescu 005; Thi Ngoc Trang Tran; Mathias Uta (J. Intell. Inf. Syst., 2021)

Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach. - Michael Schrempf; Seda Polat Erdeniz; Diether Kramer; Stefanie Jauk; Sai Pavan Kumar Veeranki; Werner Ribitsch; Werner Leodolter; Peter P. Rainer (dHealth, 2022)

A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation. - Seda Polat Erdeniz; Michael Schrempf; Diether Kramer; Alexander Felfernig (ISMIS, 2022)

Applying matrix factorization to consistency-based direct diagnosis. - Seda Polat Erdeniz; Alexander Felfernig; Muesluem Atas (Appl. Intell., 2022)

An overview of machine learning techniques in constraint solving. - Andrei Popescu 005; Seda Polat Erdeniz; Alexander Felfernig; Mathias Uta; Müslüm Atas; Viet-Man Le; Klaus Pilsl; Martin Enzelsberger; Thi Ngoc Trang Tran (J. Intell. Inf. Syst., 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)

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)

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)

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)

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)

ScoredKNN: An Efficient KNN Recommender Based on Dimensionality Reduction for Big Data. - Seda Polat Erdeniz; Ilhan Adiyaman; Tevfik Ince; Ata Gür; Alexander Felfernig (ISMIS, 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)

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

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)