Simone Kopeinik

46 papers A* 4A 3B 4C 3Journal 24Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
AI-Powered Conversational Assistance in Augmented Reality for Multi-Step Tasks.
VR
Juliana H. Madritsch, Tomislav Duricic, Neven A. M. ElSayed, Simone Kopeinik, Eduardo E. Veas
2026 J jnl
Tracing the Data Trail: A Survey of Data Provenance, Transparency and Traceability in LLMs.
CoRR
Richard Hohensinner, Belgin Mutlu, Inti Gabriel Mendoza Estrada, Matej Vukovic, Simone Kopeinik, Roman Kern
2025 J jnl
Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language.
CoRR
Kristin Gnadt, David Thulke, Simone Kopeinik, Ralf Schlüter
2025 A conf
Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations.
RecSys
Andrea Forster, Simone Kopeinik, Denis Helic, Stefan Thalmann, Dominik Kowald
2025 J jnl
Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations.
CoRR
Andrea Forster, Simone Kopeinik, Denis Helic, Stefan Thalmann, Dominik Kowald
2025 J jnl
Multistakeholder Fairness in Tourism: What can Algorithms learn from Tourism Management?
CoRR
Peter Muellner, Anna Schreuer, Simone Kopeinik, Bernhard Wieser, Dominik Kowald
2025 J jnl
Multistakeholder fairness in tourism: what can algorithms learn from tourism management?
Frontiers Big Data
Peter Müllner, Anna Schreuer, Simone Kopeinik, Bernhard Wieser, Dominik Kowald
2025 J jnl
Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD.
CoRR
Lea Demelius, Dominik Kowald, Simone Kopeinik, Roman Kern, Andreas Trügler
2025 J jnl
Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD.
Trans. Mach. Learn. Res.
Lea Demelius, Simone Kopeinik, Dominik Kowald, Roman Kern, Andreas Trügler
2025 J jnl
Reproducibility in machine-learning-based research: Overview, barriers, and drivers.
AI Mag.
Harald Semmelrock, Tony Ross-Hellauer, Simone Kopeinik, Dieter Theiler, Armin Haberl, Stefan Thalmann, Dominik Kowald
2024 J jnl
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges.
CoRR
Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Simic, Vedran Sabol, Andreas Trügler, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik
2024 J jnl
Establishing and evaluating trustworthy AI: overview and research challenges.
Frontiers Big Data
Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Simic, Vedran Sabol, Andreas Trügler, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik
2024 — conf
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models.
ECML/PKDD (7)
Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl
2024 J jnl
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models.
CoRR
Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl
2024 — conf
Measuring Bias in Search Results Through Retrieval List Comparison.
ECIR (5)
Linda Ratz, Markus Schedl, Simone Kopeinik, Navid Rekabsaz
2024 J jnl
Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers.
CoRR
Harald Semmelrock, Tony Ross-Hellauer, Simone Kopeinik, Dieter Theiler, Armin Haberl, Stefan Thalmann, Dominik Kowald
2023 J jnl
A conceptual model for leaving the data-centric approach in machine learning.
CoRR
Sebastian Scher, Bernhard C. Geiger, Simone Kopeinik, Andreas Trügler, Dominik Kowald
2023 A* conf
Computational Versus Perceived Popularity Miscalibration in Recommender Systems.
SIGIR
Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2023 J jnl
Reproducibility in Machine Learning-Driven Research.
CoRR
Harald Semmelrock, Simone Kopeinik, Dieter Theiler, Tony Ross-Hellauer, Dominik Kowald
2023 A* conf
Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users.
CHI
Simone Kopeinik, Martina Mara, Linda Ratz, Klara Krieg, Markus Schedl, Navid Rekabsaz
2022 J jnl
Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers.
CoRR
Sebastian Scher, Simone Kopeinik, Andreas Trügler, Dominik Kowald
2021 J jnl
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers.
CoRR
Navid Rekabsaz, Simone Kopeinik, Markus Schedl
2021 A* conf
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers.
SIGIR
Navid Rekabsaz, Simone Kopeinik, Markus Schedl
2021 A conf
Studying Moral-based Differences in the Framing of Political Tweets.
ICWSM
Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex
2021 J jnl
Studying Moral-based Differences in the Framing of Political Tweets.
CoRR
Markus Reiter-Haas, Simone Kopeinik, Elisabeth Lex
2019 B conf
A Real-Life School Study of Confirmation Bias and Polarisation in Information Behaviour.
EC-TEL
Simone Kopeinik, Elisabeth Lex, Dominik Kowald, Dietrich Albert, Paul Seitlinger
2019 J jnl
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems.
CoRR
Dominik Kowald, Simone Kopeinik, Elisabeth Lex
2017 J jnl
Applying Cognitive Learner Models for Recommender Systems in Sparse Data Learning Environments.
SIGIR Forum
Simone Kopeinik
2017 J jnl
Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning.
J. Web Sci.
Simone Kopeinik, Dominik Kowald, Ilire Hasani-Mavriqi, Elisabeth Lex
2017 A conf
Supporting collaborative learning with tag recommendations: a real-world study in an inquiry-based classroom project.
LAK
Simone Kopeinik, Elisabeth Lex, Paul Seitlinger, Dietrich Albert, Tobias Ley
2017 — conf
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems.
UMAP (Adjunct Publication)
Dominik Kowald, Simone Kopeinik, Elisabeth Lex
2016 J jnl
Modeling Activation Processes in Human Memory to Predict the Use of Tags in Social Bookmarking Systems.
J. Web Sci.
Christoph Trattner, Dominik Kowald, Paul Seitlinger, Tobias Ley, Simone Kopeinik
2016 B conf
Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL.
EC-TEL
Simone Kopeinik, Dominik Kowald, Elisabeth Lex
2015 B conf
Applying the Formal Concept Analysis to Introduce Guidance in an Inquiry-Based Learning Environment.
ICALT
Michael A. Bedek, Simone Kopeinik, Bernd Prünster, Dietrich Albert
2015 — conf
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics.
WWW (Companion Volume)
Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Elisabeth Lex, Tobias Ley
2015 J jnl
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics.
CoRR
Paul Seitlinger, Dominik Kowald, Simone Kopeinik, Ilire Hasani-Mavriqi, Tobias Ley, Elisabeth Lex
2015 J jnl
Suitability of Adaptive Self-Regulated e-Learning to Vocational Training: A Pilot Study in Heat Pump System Installation.
Int. J. Online Pedagog. Course Des.
Aurora Dimache, Thomas Roche, Simone Kopeinik, Lisa-Christina Winter, Alexander Nussbaumer, Dietrich Albert
2014 B conf
Combining Self-Regulation and Competence-Based Guidance to Personalise the Learning Experience in Moodle.
ICALT
Simone Kopeinik, Alexander Nussbaumer, Lisa-Christina Winter, Dietrich Albert, Aurora Dimache, Thomas Roche
2013 — conf
Applying Pedagogical Approaches to Enhance Learning: Linking Self-Regulated and Skills-Based Learning with Support from Moodle Extensions.
IIAI-AAI
Lisa-Christina Winter, Simone Kopeinik, Dietrich Albert, Aurora Dimache, Attracta Brennan, Thomas Roche
2013 C conf
Competence Analyser: A portable GUI tool for modelling domain and learner knowledge.
ICCE
Simone Kopeinik, Michael A. Bedek, Georg Öttl, Dietrich Albert
2013 — conf
Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender.
MSM/MUSE
Dominik Kowald, Paul Seitlinger, Simone Kopeinik, Tobias Ley, Christoph Trattner
2013 — conf
Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context.
MSM/MUSE
Dominik Kowald, Simone Kopeinik, Paul Seitlinger, Tobias Ley, Dietrich Albert, Christoph Trattner
2012 — conf
Evaluating the Validity of a Non-invasive Assessment Procedure.
SGDA
Paul Seitlinger, Michael A. Bedek, Simone Kopeinik, Dietrich Albert
2012 C conf
Using CbKST for Learning Path Recommendation in Game-based Learning.
ICCE
Simone Kopeinik, Alexander Nussbaumer, Michael A. Bedek, Dietrich Albert
2011 C conf
The Artificial Mentor: An assessment based approach to adaptively enhance learning processes in virtual learning environments.
ICCE
Simone Kopeinik, Michael A. Bedek, Paul Seitlinger, Dietrich Albert
2009 J jnl
Evaluation of Collaborative Learning Settings in 3D Virtual Worlds.
Int. J. Emerg. Technol. Learn.
Vanessa Chang, Christian Gütl, Simone Kopeinik, Robert Williams