Joeran Beel - RankMe

61 papers A* 1A 7Journal 30Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	OmniRec: The All-In-One Solution for Reproducible and Interoperable Recommender Systems Experimentation. ECIR (4) Lukas Wegmeth, Moritz Baumgart, Philipp Meister, Bela Gipp, Joeran Beel
2025	A	`conf`	APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection. RecSys Tobias Vente, Michael Heep, Abdullah Abbas, Theodor Sperle, Joeran Beel, Bart Goethals
2025	J	`jnl`	APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection. CoRR Tobias Vente, Michael Heep, Abdullah Abbas, Theodor Sperle, Joeran Beel, Bart Goethals
2025	J	`jnl`	Algorithm Selection for Recommender Systems via Meta-Learning on Algorithm Characteristics. CoRR Jarne Mathi Decker, Joeran Beel
2025	—	`conf`	Checky, the Paper-Submission Checklist Generator for Authors, Reviewers and LLMs. ECIR (5) Joeran Beel, Bela Gipp, Dietmar Jannach, Alan Said, Lukas Wegmeth, Tobias Vente
2025	J	`jnl`	Evaluating Sakana's AI Scientist for Autonomous Research: Wishful Thinking or an Emerging Reality Towards 'Artificial Research Intelligence' (ARI)? CoRR Joeran Beel, Min-Yen Kan, Moritz Baumgart
2025	J	`jnl`	Evaluating Sakana's AI Scientist: Bold Claims, Mixed Results, and a Promising Future? SIGIR Forum Joeran Beel, Min-Yen Kan, Moritz Baumgart
2025	J	`jnl`	From AutoRecSys to AutoRecLab: A Call to Build, Evaluate, and Govern Autonomous Recommender-Systems Research Labs. CoRR Joeran Beel, Bela Gipp, Tobias Vente, Moritz Baumgart, Philipp Meister
2025	J	`jnl`	Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization. CoRR Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
2025	—	`conf`	The Potential of AutoML for Recommender Systems. UMAP (Adjunct Publication) Tobias Vente, Lukas Wegmeth, Joeran Beel
2024	—	`conf`	EMERS: Energy Meter for Recommender Systems. RecSoGood@RecSys Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
2024	J	`jnl`	EMERS: Energy Meter for Recommender Systems. CoRR Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
2024	A	`conf`	From Clicks to Carbon: The Environmental Toll of Recommender Systems. RecSys Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel
2024	J	`jnl`	From Clicks to Carbon: The Environmental Toll of Recommender Systems. CoRR Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel
2024	J	`jnl`	From Theory to Practice: Implementing and Evaluating e-Fold Cross-Validation. CoRR Christopher Mahlich, Tobias Vente, Joeran Beel
2024	—	`conf`	Greedy Ensemble Selection for Top-N Recommendations. RobustRecSys@RecSys Tobias Vente, Zainil Mehta, Lukas Wegmeth, Joeran Beel
2024	J	`jnl`	Green Recommender Systems: A Call for Attention. SIGIR Forum Joeran Beel, Alan Said, Tobias Vente, Lukas Wegmeth
2024	—	`conf`	Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance. RecSoGood@RecSys Ardalan Arabzadeh, Tobias Vente, Joeran Beel
2024	J	`jnl`	Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance. CoRR Ardalan Arabzadeh, Tobias Vente, Joeran Beel
2024	A	`conf`	Informed Dataset Selection with 'Algorithm Performance Spaces'. RecSys Joeran Beel, Lukas Wegmeth, Lien Michiels, Steffen Schulz
2024	A	`conf`	Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets. RecSys Lukas Wegmeth, Tobias Vente, Joeran Beel
2024	J	`jnl`	Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets. CoRR Lukas Wegmeth, Tobias Vente, Joeran Beel
2024	—	`conf`	Removing Bad Influence: Identifying and Pruning Detrimental Users in Collaborative Filtering Recommender Systems. RobustRecSys@RecSys Philipp Meister, Lukas Wegmeth, Tobias Vente, Joeran Beel
2024	J	`jnl`	The Potential of AutoML for Recommender Systems. CoRR Tobias Vente, Joeran Beel
2024	—	`conf`	e-Fold Cross-Validation for Recommender-System Evaluation. RecSoGood@RecSys Moritz Baumgart, Lukas Wegmeth, Tobias Vente, Joeran Beel
2024	J	`jnl`	e-Fold Cross-Validation for Recommender-System Evaluation. CoRR Moritz Baumgart, Lukas Wegmeth, Tobias Vente, Joeran Beel
2023	J	`jnl`	Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML. CoRR Lennart Purucker, Joeran Beel
2023	—	`conf`	CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure. AutoML Lennart Oswald Purucker, Joeran Beel
2023	J	`jnl`	CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure. CoRR Lennart Purucker, Joeran Beel
2023	A	`conf`	Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit. RecSys Tobias Vente, Michael D. Ekstrand, Joeran Beel
2023	—	`conf`	Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML. AutoML Lennart Oswald Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
2023	J	`jnl`	Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML. CoRR Lennart Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
2023	J	`jnl`	Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel
2023	—	`conf`	The Effect of Random Seeds for Data Splitting on Recommendation Accuracy. Perspectives@RecSys Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel
2022	—	`conf`	CaMeLS: Cooperative Meta-Learning Service for Recommender Systems. Perspectives@RecSys Lukas Wegmeth, Joeran Beel
2022	A*	`conf`	Estimating the Pruned Search Space Size of Subgroup Discovery. ICDM Lennart Purucker, Felix I. Stamm, Florian Lemmerich, Joeran Beel
2021	—	`conf`	The 'Unreasonable' Effectiveness of Graphical User Interfaces for Recommender Systems. UMAP (Adjunct Publication) Joeran Beel, Haley Dixon
2021	—	`conf`	Time-dependent Evaluation of Recommender Systems. Perspectives@RecSys Teresa Scheidt, Joeran Beel
2020	A	`conf`	Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization. RecSys Rohan Anand, Joeran Beel
2020	J	`jnl`	Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization. CoRR Rohan Anand, Joeran Beel
2020	J	`jnl`	Choice overload and recommendation effectiveness in related-article recommendations. Int. J. Digit. Libr. Felix Beierle, Akiko Aizawa, Andrew Collins, Joeran Beel
2020	J	`jnl`	Finite Group Equivariant Neural Networks for Games. CoRR Oisín Carroll, Joeran Beel
2020	J	`jnl`	Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering. CoRR Andrew Collins, Laura Tierney, Joeran Beel
2020	A	`conf`	Recommender-Systems.com: A Central Platform for the Recommender-System Community. RecSys Joeran Beel
2020	J	`jnl`	Siamese Meta-Learning and Algorithm Selection with 'Algorithm-Performance Personas' [Proposal]. CoRR Joeran Beel, Bryan Tyrell, Edward Bergman, Andrew Collins, Shahad Nagoor
2020	J	`jnl`	Synthetic vs. Real Reference Strings for Citation Parsing, and the Importance of Re-training and Out-Of-Sample Data for Meaningful Evaluations: Experiments with GROBID, GIANT and Cora. CoRR Mark Grennan, Joeran Beel
2020	J	`jnl`	Towards an Interoperable Data Protocol Aimed at Linking the Fashion Industry with AI Companies. CoRR Mohammed Al-Rawi, Joeran Beel
2019	—	`conf`	A First Analysis of Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems. ComplexRec@RecSys Andrew Collins, Joeran Beel
2019	—	`conf`	Augmenting the DonorsChoose.org Corpus for Meta-Learning. AMIR@ECIR Gordian Edenhofer, Andrew Collins, Akiko Aizawa, Joeran Beel
2019	—	`conf`	GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing. AICS Mark Grennan, Martin Schibel, Andrew Collins, Joeran Beel
2019	—	`conf`	Memory-Augmented Neural Networks for Machine Translation. MTSummit (1) Mark Collier, Joeran Beel
2019	J	`jnl`	Memory-Augmented Neural Networks for Machine Translation. CoRR Mark Collier, Joeran Beel
2019	J	`jnl`	Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems. CoRR Andrew Collins, Joeran Beel
2019	—	`conf`	Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football. AICS Nicholas Bonello, Joeran Beel, Séamus Lawless, Jeremy Debattista
2019	J	`jnl`	Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football. CoRR Nicholas Bonello, Joeran Beel, Séamus Lawless, Jeremy Debattista
2019	—	`conf`	NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts. AICS Dominika Tkaczyk, Andrew Collins, Joeran Beel
2019	J	`jnl`	NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts. CoRR Dominika Tkaczyk, Andrew Collins, Joeran Beel
2019	—	`conf`	Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights. AICS Conor O'Sullivan, Joeran Beel
2019	J	`jnl`	Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights. CoRR Conor O'Sullivan, Joeran Beel
2019	—	`conf`	Preface: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR). AMIR@ECIR Joeran Beel, Lars Kotthoff
2019	—	`conf`	RARD II: The 94 Million Related-Article Recommendation Dataset. AMIR@ECIR Joeran Beel, Barry Smyth, Andrew Collins