Simone Kopeinik

发表

Innovative online vocational training of renewable energy technologies (INNOVRET)

D. Albert, T. Roche, A. Brennan, 2014 .

Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers

A. Trügler, S. Scher, Dominik Kowald, 2022, ArXiv.

The Artificial Mentor: An assessment based approach to adaptively enhance learning processes in virtual learning environments

Michael A. Bedek, Simone Kopeinik, 2011 .

Modelling the long-term fairness dynamics of data-driven targeted help on job seekers

A. Trügler, Dominik Kowald, Simone Kopeinik, 2022, Scientific Reports.

Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers

Simone Kopeinik, Markus Schedl, Navid Rekabsaz, 2021, SIGIR.

Using CbKST for Learning Path Recommendation in Game-based Learning

Simone Kopeinik, Alexander Nussbaumer, Michael Bedek, 2012 .

Evaluating the Validity of a Non-invasive Assessment Procedure

Simone Kopeinik, Paul Seitlinger, Dietrich Albert, 2012, SGDA.

Inferring a Learner's Cognitive, Motivational and Emotional State in a Digital Educational Game.

Simone Kopeinik, Paul Seitlinger, Dietrich Albert, 2012 .

Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning

Dominik Kowald, Simone Kopeinik, Elisabeth Lex, 2017, J. Web Sci..

Modeling Activation Processes in Human Memory to Predict the Use of Tags in Social Bookmarking Systems

Dominik Kowald, Simone Kopeinik, Paul Seitlinger, 2016, J. Web Sci..

A conceptual model for leaving the data-centric approach in machine learning

A. Trügler, S. Scher, B. Geiger, 2023, ArXiv.

Reproducibility in Machine Learning-Driven Research

T. Ross-Hellauer, Dominik Kowald, Simone Kopeinik, 2023, ArXiv.

Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users

M. Schedl, Martina Mara, Navid Rekabsaz, 2023, CHI.

Studying Moral-based Differences in the Framing of Political Tweets

E. Lex, Simone Kopeinik, Markus Reiter-Haas, 2021, ICWSM.

A Real-Life School Study of Confirmation Bias and Polarisation in Information Behaviour

Dominik Kowald, Simone Kopeinik, Elisabeth Lex, 2019, EC-TEL.

Modeling Activation Processes in Human Memory to Predict the Reuse of Tags

Dominik Kowald, Simone Kopeinik, Paul Seitlinger, 2016 .

Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender pdf

Dominik Kowald, Simone Kopeinik, Paul Seitlinger, 2014, MSM/MUSE.

Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context

Dominik Kowald, Simone Kopeinik, Paul Seitlinger, 2013, MSM/MUSE.

Evaluation of Collaborative Learning Settings in 3D Virtual Worlds

Simone Kopeinik, Christian Gütl, Robert Williams, 2009, Int. J. Emerg. Technol. Learn..

Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics

Dominik Kowald, Simone Kopeinik, Paul Seitlinger, 2015, WWW.

A Real-Life School Study of Conﬁrmation Bias and Polarisation in Information Behaviour

E. Lex, Paul Seitlinger, Dominik Kowald, 2022 .

The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems

Dominik Kowald, Simone Kopeinik, Elisabeth Lex, 2017, UMAP.

Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL

Dominik Kowald, Simone Kopeinik, Elisabeth Lex, 2016, EC-TEL.

Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers

Simone Kopeinik, Dieter Theiler, Harald Semmelrock, 2024, ArXiv.

Transparent Music Preference Modeling and Recommendation with a Model of Human Memory Theory

E. Lex, Dominik Kowald, Simone Kopeinik, 2022 .