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ORCIDSeda Polat Erdeniz
Person information
- affiliation (PhD): TU Graz, Software Technology Institute, Graz, Austria
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2020 – today
- 2024
[j8]Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Sebastian Lubos
, Merfat El Mansi, Damian Garber, Viet-Man Le:
Recommender systems for sustainability: overview and research issues. Frontiers Big Data 6 (2024)- [j7]Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Viet-Man Le, Sebastian Lubos, Seda Polat Erdeniz:
Sports recommender systems: overview and research directions. J. Intell. Inf. Syst. 62(4): 1125-1164 (2024) - [c25]Sebastian Lubos, Alexander Felfernig, Lothar Hotz, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Viet-Man Le, Damian Garber, Merfat El Mansi:
Responsible Configuration Using LLM-based Sustainability-Aware Explanations. ConfWS 2024: 68-73 - [c24]Seda Polat Erdeniz, Ilhan Adiyaman, Tevfik Ince, Ata Gür, Alexander Felfernig:
ScoredKNN: An Efficient KNN Recommender Based on Dimensionality Reduction for Big Data. ISMIS 2024: 181-190 - [c23]Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran, Damian Garber, Merfat El Mansi, Seda Polat Erdeniz, Viet-Man Le:
Leveraging LLMs for the Quality Assurance of Software Requirements. RE 2024: 389-397 - [c22]Thi Ngoc Trang Tran, Seda Polat Erdeniz, Alexander Felfernig, Sebastian Lubos, Merfat El Mansi, Viet-Man Le:
Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems. RecSys 2024: 1108-1112 - [c21]Sebastian Lubos, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat Erdeniz, Viet-Man Le:
LLM-generated Explanations for Recommender Systems. UMAP (Adjunct Publication) 2024 - [i7]Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran, Damian Garber, Merfat El Mansi, Seda Polat Erdeniz, Viet-Man Le:
Leveraging LLMs for the Quality Assurance of Software Requirements. CoRR abs/2408.10886 (2024) - [i6]Thi Ngoc Trang Tran, Seda Polat Erdeniz, Alexander Felfernig, Sebastian Lubos, Merfat El Mansi, Viet-Man Le:
Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems. CoRR abs/2409.18690 (2024) - [i5]Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Sebastian Lubos, Merfat El Mansi, Damian Garber, Viet-Man Le:
Recommender Systems for Sustainability: Overview and Research Issues. CoRR abs/2412.03620 (2024) - 2023
- [c20]Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos:
Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare. AIME 2023: 114-119 - [c19]Seda Polat Erdeniz, Thi Ngoc Trang Tran, Alexander Felfernig, Sebastian Lubos, Michael Schrempf, Diether Kramer, Peter P. Rainer:
Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support. BIBM 2023: 2983-2989 - [c18]Damian Garber, Tamim Burgstaller, Alexander Felfernig, Viet-Man Le, Sebastian Lubos, Trang Tran, Seda Polat Erdeniz:
Collaborative Recommendation of Search Heuristics For Constraint Solvers. ConfWS 2023: 38-44 - [c17]Seda Polat Erdeniz, Diether Kramer, Michael Schrempf, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos:
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics. dHealth 2023: 20-25 - [c16]Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Merfat El Mansi, Alexander Felfernig, Manfred Wundara, Gerhard Leitner:
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems. IntRS@RecSys 2023: 63-73 - [i4]Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Merfat El Mansi, Alexander Felfernig, Manfred Wundara, Gerhard Leitner:
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems. CoRR abs/2308.16708 (2023) - [i3]Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Viet-Man Le, Sebastian Lubos, Seda Polat Erdeniz:
Sports Recommender Systems: Overview and Research Issues. CoRR abs/2312.03785 (2023) - 2022
- [j6]Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas:
Applying matrix factorization to consistency-based direct diagnosis. Appl. Intell. 52(6): 7024-7036 (2022) - [j5]Andrei Popescu, Seda Polat Erdeniz, Alexander Felfernig, Mathias Uta, Müslüm Atas, Viet-Man Le, Klaus Pilsl, Martin Enzelsberger, Thi Ngoc Trang Tran:
An overview of machine learning techniques in constraint solving. J. Intell. Inf. Syst. 58(1): 91-118 (2022) - [c15]Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Ribitsch, Werner Leodolter, Peter P. Rainer:
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach. dHealth 2022: 262-269 - [c14]Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Alexander Felfernig:
A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation. ISMIS 2022: 467-476 - 2021
- [j4]Müslüm Atas, Alexander Felfernig, Seda Polat Erdeniz, Andrei Popescu, Thi Ngoc Trang Tran, Mathias Uta:
Towards psychology-aware preference construction in recommender systems: Overview and research issues. J. Intell. Inf. Syst. 57(3): 467-489 (2021) - [c13]Seda Polat Erdeniz, Andrei Popescu:
Comparing Genetic Algorithms and Matrix Factorization for Learning Heuristics in Constraint Solving. ConfWS 2021: 21-23 - [c12]Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat Erdeniz, Martin Stettinger, Müslüm Atas, Thi Ngoc Trang Tran:
Configuring Multiple Instances with Multi-Configuration. ConfWS 2021: 45-47 - [c11]Viet-Man Le, Thi Ngoc Trang Tran, Martin Stettinger, Lisa Weißl, Alexander Felfernig, Müslüm Atas, Seda Polat Erdeniz, Andrei Popescu:
Counteracting Exam Cheating by Leveraging Configuration and Recommendation Techniques. ConfWS 2021: 73-80 - [i2]Alexander Felfernig, Rouven Walter, José A. Galindo, David Benavides, Seda Polat Erdeniz, Muesluem Atas, Stefan Reiterer:
Anytime Diagnosis for Reconfiguration. CoRR abs/2102.09880 (2021) - [i1]Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat Erdeniz, Martin Stettinger, Müslüm Atas, Thi Ngoc Trang Tran:
Configuring Multiple Instances with Multi-Configuration. CoRR abs/2109.09696 (2021) - 2020
- [j3]Seda Polat Erdeniz, Andreas Menychtas, Ilias Maglogiannis, Alexander Felfernig, Thi Ngoc Trang Tran:
Recommender systems for IoT enabled quantified-self applications. Evol. Syst. 11(2): 291-304 (2020) - [c10]Seda Polat Erdeniz, Ralph Samer, Muesluem Atas:
Matrix Factorization Based Heuristics Learning for Solving Constraint Satisfaction Problems. ISMIS 2020: 287-297
2010 – 2019
- 2019
- [j2]Alexander Felfernig, Seda Polat Erdeniz, Christoph Uran, Stefan Reiterer, Muesluem Atas, Thi Ngoc Trang Tran, Paolo Azzoni, Csaba Király, Koustabh Dolui:
An overview of recommender systems in the internet of things. J. Intell. Inf. Syst. 52(2): 285-309 (2019) - [c9]Muesluem Atas, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat Erdeniz, Ralph Samer, Martin Stettinger:
Towards Similarity-Aware Constraint-Based Recommendation. IEA/AIE 2019: 287-299 - [c8]Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas:
Learned Constraint Ordering for Consistency Based Direct Diagnosis. IEA/AIE 2019: 347-359 - [c7]Seda Polat Erdeniz, Alexander Felfernig, Ralph Samer, Muesluem Atas:
Matrix factorization based heuristics for constraint-based recommenders. SAC 2019: 1655-1662 - [c6]Muesluem Atas, Ralph Samer, Alexander Felfernig, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Martin Stettinger:
Socially-Aware Diagnosis for Constraint-Based Recommendation. UMAP 2019: 121-129 - 2018
- [j1]Alexander Felfernig, Rouven Walter, José Angel Galindo, David Benavides, Seda Polat Erdeniz, Müslüm Atas, Stefan Reiterer:
Anytime diagnosis for reconfiguration. J. Intell. Inf. Syst. 51(1): 161-182 (2018) - [c5]Seda Polat Erdeniz, Ilias Maglogiannis, Andreas Menychtas, Alexander Felfernig, Thi Ngoc Trang Tran:
Recommender Systems for IoT Enabled m-Health Applications. AIAI (Workshops) 2018: 227-237 - [c4]Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas:
LearnDiag: A Direct Diagnosis Algorithm Based On Learned Heuristics. KI 2018: 190-197 - 2017
- [c3]Alexander Felfernig, Seda Polat Erdeniz, Michael Jeran, Arda Akcay, Paolo Azzoni, Matteo Maiero, Charalampos Doukas:
Recommendation Technologies for IoT Edge Devices. FNC/MobiSPC 2017: 504-509 - [c2]Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas, Thi Ngoc Trang Tran, Michael Jeran, Martin Stettinger:
Cluster-Specific Heuristics for Constraint Solving. IEA/AIE (1) 2017: 21-30 - [c1]Alexander Felfernig, Muesluem Atas, Thi Ngoc Trang Tran, Martin Stettinger, Seda Polat Erdeniz, Gerhard Leitner:
An Analysis of Group Recommendation Heuristics for High- and Low-Involvement Items. IEA/AIE (1) 2017: 335-344
Coauthor Index
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