Seda Polat Erdeniz

According to our database, Seda Polat Erdeniz authored at least 34 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., August, 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

LLM-generated Explanations for Recommender Systems.

Sebastian Lubos, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat Erdeniz, Viet-Man Le

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 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

Proceedings of the 18th ACM Conference on Recommender Systems, 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

Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

ScoredKNN: An Efficient KNN Recommender Based on Dimensionality Reduction for Big Data.

Seda Polat Erdeniz, Ilhan Adiyaman, Tevfik Ince, Ata Gür, Alexander Felfernig

Proceedings of the Foundations of Intelligent Systems - 27th International Symposium, 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

Proceedings of the 26th International Workshop on Configuration (ConfWS 2024) co-located with the 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024

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

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

Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 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

Proceedings of the dHealth 2023, 2023

Collaborative Recommendation of Search Heuristics For Constraint Solvers.

Damian Garber, Tamim Burgstaller, Alexander Felfernig, Viet-Man Le, Sebastian Lubos, Trang Tran, Seda Polat Erdeniz

Proceedings of the 25th International Workshop on Configuration (ConfWS 2023), 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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

An overview of machine learning techniques in constraint solving.

Andrei Popescu, 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

Applying matrix factorization to consistency-based direct diagnosis.

Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas

Appl. Intell., 2022

A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation.

Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Alexander Felfernig

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

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

Proceedings of the dHealth 2022, 2022

2021

Towards psychology-aware preference construction in recommender systems: Overview and research issues.

Müslüm Atas, Alexander Felfernig, Seda Polat Erdeniz, Andrei Popescu, Thi Ngoc Trang Tran, Mathias Uta

J. Intell. Inf. Syst., 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

Proceedings of the 23rd International Configuration Workshop (CWS/ConfWS 2021), 2021

Configuring Multiple Instances with Multi-Configuration.

Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat Erdeniz, Martin Stettinger, Müslüm Atas, Thi Ngoc Trang Tran

Proceedings of the 23rd International Configuration Workshop (CWS/ConfWS 2021), 2021

Comparing Genetic Algorithms and Matrix Factorization for Learning Heuristics in Constraint Solving.

Seda Polat Erdeniz, Andrei Popescu

Proceedings of the 23rd International Configuration Workshop (CWS/ConfWS 2021), 2021

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

Matrix Factorization Based Heuristics Learning for Solving Constraint Satisfaction Problems.

Seda Polat Erdeniz, Ralph Samer, Muesluem Atas

Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

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, Koustabh Dolui

J. Intell. Inf. Syst., 2019

Socially-Aware Diagnosis for Constraint-Based Recommendation.

Muesluem Atas, Ralph Samer, Alexander Felfernig, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Martin Stettinger

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

Matrix factorization based heuristics for constraint-based recommenders.

Seda Polat Erdeniz, Alexander Felfernig, Ralph Samer, Muesluem Atas

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Learned Constraint Ordering for Consistency Based Direct Diagnosis.

Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

Towards Similarity-Aware Constraint-Based Recommendation.

Muesluem Atas, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat Erdeniz, Ralph Samer, Martin Stettinger

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

2018

Anytime diagnosis for reconfiguration.

Alexander Felfernig, Rouven Walter, José Angel Galindo, David Benavides, Seda Polat Erdeniz, Müslüm Atas, Stefan Reiterer

J. Intell. Inf. Syst., 2018

LearnDiag: A Direct Diagnosis Algorithm Based On Learned Heuristics.

Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Recommender Systems for IoT Enabled m-Health Applications.

Seda Polat Erdeniz, Ilias Maglogiannis, Andreas Menychtas, Alexander Felfernig, Thi Ngoc Trang Tran

Proceedings of the Artificial Intelligence Applications and Innovations, 2018

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

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Cluster-Specific Heuristics for Constraint Solving.

Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas, Thi Ngoc Trang Tran, Michael Jeran, Martin Stettinger

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Recommendation Technologies for IoT Edge Devices.

Alexander Felfernig, Seda Polat Erdeniz, Michael Jeran, Arda Akcay, Paolo Azzoni, Matteo Maiero, Charalampos Doukas

Proceedings of the 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops, 2017