Seda Polat Erdeniz

40 papers A 3B 1C 5Misc 2Journal 15Unranked 14
YearRankTypeTitle / Venue / Authors
2024 — conf
LLM-generated Explanations for Recommender Systems.
UMAP (Adjunct Publication)
Sebastian Lubos, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat Erdeniz, Viet-Man Le
2024 A conf
Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems.
RecSys
Thi Ngoc Trang Tran, Seda Polat Erdeniz, Alexander Felfernig, Sebastian Lubos, Merfat El Mansi, Viet-Man Le
2024 J jnl
Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems.
CoRR
Thi Ngoc Trang Tran, Seda Polat Erdeniz, Alexander Felfernig, Sebastian Lubos, Merfat El Mansi, Viet-Man Le
2024 A conf
Leveraging LLMs for the Quality Assurance of Software Requirements.
RE
Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran, Damian Garber, Merfat El Mansi, Seda Polat Erdeniz, Viet-Man Le
2024 J jnl
Leveraging LLMs for the Quality Assurance of Software Requirements.
CoRR
Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran, Damian Garber, Merfat El Mansi, Seda Polat Erdeniz, Viet-Man Le
2024 J jnl
Recommender Systems for Sustainability: Overview and Research Issues.
CoRR
Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Sebastian Lubos, Merfat El Mansi, Damian Garber, Viet-Man Le
2024 J jnl
Recommender systems for sustainability: overview and research issues.
Frontiers Big Data
Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Sebastian Lubos, Merfat El Mansi, Damian Garber, Viet-Man Le
2024 — conf
Responsible Configuration Using LLM-based Sustainability-Aware Explanations.
ConfWS
Sebastian Lubos, Alexander Felfernig, Lothar Hotz, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Viet-Man Le, Damian Garber, Merfat El Mansi
2024 C conf
ScoredKNN: An Efficient KNN Recommender Based on Dimensionality Reduction for Big Data.
ISMIS
Seda Polat Erdeniz, Ilhan Adiyaman, Tevfik Ince, Ata Gür, Alexander Felfernig
2024 J jnl
Sports recommender systems: overview and research directions.
J. Intell. Inf. Syst.
Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Viet-Man Le, Sebastian Lubos, Seda Polat Erdeniz
2023 — conf
Collaborative Recommendation of Search Heuristics For Constraint Solvers.
ConfWS
Damian Garber, Tamim Burgstaller, Alexander Felfernig, Viet-Man Le, Sebastian Lubos, Trang Tran, Seda Polat Erdeniz
2023 B conf
Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare.
AIME
Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos
2023 — conf
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems.
IntRS@RecSys
Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Merfat El Mansi, Alexander Felfernig, Manfred Wundara, Gerhard Leitner
2023 J jnl
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems.
CoRR
Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Merfat El Mansi, Alexander Felfernig, Manfred Wundara, Gerhard Leitner
2023 — conf
Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support.
BIBM
Seda Polat Erdeniz, Thi Ngoc Trang Tran, Alexander Felfernig, Sebastian Lubos, Michael Schrempf, Diether Kramer, Peter P. Rainer
2023 — conf
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics.
dHealth
Seda Polat Erdeniz, Diether Kramer, Michael Schrempf, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos
2023 J jnl
Sports Recommender Systems: Overview and Research Issues.
CoRR
Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Viet-Man Le, Sebastian Lubos, Seda Polat Erdeniz
2022 C conf
A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation.
ISMIS
Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Alexander Felfernig
2022 J jnl
An overview of machine learning techniques in constraint solving.
J. Intell. Inf. Syst.
Andrei Popescu, Seda Polat Erdeniz, Alexander Felfernig, Mathias Uta, Müslüm Atas, Viet-Man Le, Klaus Pilsl, Martin Enzelsberger, Thi Ngoc Trang Tran
2022 J jnl
Applying matrix factorization to consistency-based direct diagnosis.
Appl. Intell.
Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas
2022 — conf
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.
dHealth
Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Ribitsch, Werner Leodolter, Peter P. Rainer
2021 J jnl
Anytime Diagnosis for Reconfiguration.
CoRR
Alexander Felfernig, Rouven Walter, José A. Galindo, David Benavides, Seda Polat Erdeniz, Muesluem Atas, Stefan Reiterer
2021 — conf
Comparing Genetic Algorithms and Matrix Factorization for Learning Heuristics in Constraint Solving.
ConfWS
Seda Polat Erdeniz, Andrei Popescu
2021 — conf
Configuring Multiple Instances with Multi-Configuration.
ConfWS
Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat Erdeniz, Martin Stettinger, Müslüm Atas, Thi Ngoc Trang Tran
2021 J jnl
Configuring Multiple Instances with Multi-Configuration.
CoRR
Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat Erdeniz, Martin Stettinger, Müslüm Atas, Thi Ngoc Trang Tran
2021 — conf
Counteracting Exam Cheating by Leveraging Configuration and Recommendation Techniques.
ConfWS
Viet-Man Le, Thi Ngoc Trang Tran, Martin Stettinger, Lisa Weißl, Alexander Felfernig, Müslüm Atas, Seda Polat Erdeniz, Andrei Popescu
2021 J jnl
Towards psychology-aware preference construction in recommender systems: Overview and research issues.
J. Intell. Inf. Syst.
Müslüm Atas, Alexander Felfernig, Seda Polat Erdeniz, Andrei Popescu, Thi Ngoc Trang Tran, Mathias Uta
2020 C conf
Matrix Factorization Based Heuristics Learning for Solving Constraint Satisfaction Problems.
ISMIS
Seda Polat Erdeniz, Ralph Samer, Muesluem Atas
2020 J jnl
Recommender systems for IoT enabled quantified-self applications.
Evol. Syst.
Seda Polat Erdeniz, Andreas Menychtas, Ilias Maglogiannis, Alexander Felfernig, Thi Ngoc Trang Tran
2019 J jnl
An overview of recommender systems in the internet of things.
J. Intell. Inf. Syst.
Alexander Felfernig, Seda Polat Erdeniz, Christoph Uran, Stefan Reiterer, Muesluem Atas, Thi Ngoc Trang Tran, Paolo Azzoni, Csaba Király, Koustabh Dolui
2019 C conf
Learned Constraint Ordering for Consistency Based Direct Diagnosis.
IEA/AIE
Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas
2019 Misc conf
Matrix factorization based heuristics for constraint-based recommenders.
SAC
Seda Polat Erdeniz, Alexander Felfernig, Ralph Samer, Muesluem Atas
2019 A conf
Socially-Aware Diagnosis for Constraint-Based Recommendation.
UMAP
Muesluem Atas, Ralph Samer, Alexander Felfernig, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Martin Stettinger
2019 C conf
Towards Similarity-Aware Constraint-Based Recommendation.
IEA/AIE
Muesluem Atas, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat Erdeniz, Ralph Samer, Martin Stettinger
2018 J jnl
Anytime diagnosis for reconfiguration.
J. Intell. Inf. Syst.
Alexander Felfernig, Rouven Walter, José Angel Galindo, David Benavides, Seda Polat Erdeniz, Müslüm Atas, Stefan Reiterer
2018 Misc conf
LearnDiag: A Direct Diagnosis Algorithm Based On Learned Heuristics.
KI
Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas
2018 — conf
Recommender Systems for IoT Enabled m-Health Applications.
AIAI (Workshops)
Seda Polat Erdeniz, Ilias Maglogiannis, Andreas Menychtas, Alexander Felfernig, Thi Ngoc Trang Tran
2017 — conf
An Analysis of Group Recommendation Heuristics for High- and Low-Involvement Items.
IEA/AIE (1)
Alexander Felfernig, Muesluem Atas, Thi Ngoc Trang Tran, Martin Stettinger, Seda Polat Erdeniz, Gerhard Leitner
2017 — conf
Cluster-Specific Heuristics for Constraint Solving.
IEA/AIE (1)
Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas, Thi Ngoc Trang Tran, Michael Jeran, Martin Stettinger
2017 — conf
Recommendation Technologies for IoT Edge Devices.
FNC/MobiSPC
Alexander Felfernig, Seda Polat Erdeniz, Michael Jeran, Arda Akcay, Paolo Azzoni, Matteo Maiero, Charalampos Doukas