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All published works (63)

Action Title Date Authors
An Evaluation of Sakana's AI Scientist for Autonomous Research: Wishful Thinking or an Emerging Reality Towards 'Artificial General Research Intelligence' (AGRI)? 2025-02-20 Joeran Beel Min‐Yen Kan Meike Baumgart
Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling 2025-02-12 Ardalan Arabzadeh Joeran Beel Tobias Vente
e-Fold Cross-Validation for Recommender-System Evaluation 2024-12-01 Moritz Baumgart Lukas Wegmeth Tobias Vente Joeran Beel
Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance 2024-10-12 Ardalan Arabzadeh Tobias Vente Joeran Beel
e-Fold Cross-Validation for energy-aware Machine Learning Evaluations 2024-10-12 Christopher Mahlich Tobias Vente Joeran Beel
From Clicks to Carbon: The Environmental Toll of Recommender Systems 2024-10-08 Tobias Vente Lukas Wegmeth Alan Said Joeran Beel
Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets 2024-10-08 Lukas Wegmeth Tobias Vente Joeran Beel
EMERS: Energy Meter for Recommender Systems 2024-09-23 Lukas Wegmeth Tobias Vente Alan Said Joeran Beel
The Potential of AutoML for Recommender Systems 2024-02-06 Tobias Vente Joeran Beel
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education 2023-06-01 Christine Bauer Ben Carterette Nicola Ferro Norbert Fuhr Joeran Beel Timo Breuer Charles L. A. Clarke Anita Crescenzi Gianluca Demartini Giorgio Maria Di Nunzio
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure 2023-01-01 Lennart Purucker Joeran Beel
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML 2023-01-01 Lennart Purucker Joeran Beel
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML 2023-01-01 Lennart Purucker Lennart Schneider Marie Anastacio Joeran Beel Bernd Bischl Holger H. Hoos
Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering. 2020-12-30 Andrew Collins Laura Tierney Joeran Beel
Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization 2020-09-19 Rohan Anand Joeran Beel
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 2020-04-22 Mark Grennan Joeran Beel
Siamese Meta-Learning and Algorithm Selection with 'Algorithm-Performance Personas' [Proposal] 2020-01-01 Joeran Beel Bryan Tyrell Edward M. Bergman Andrew Collins Shahad Nagoor
Towards an Interoperable Data Protocol Aimed at Linking the Fashion Industry with AI Companies 2020-01-01 Mohammed Al-Rawi Joeran Beel
Finite Group Equivariant Neural Networks for Games 2020-01-01 OisĂ­n Carroll Joeran Beel
Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering 2020-01-01 Andrew Collins Laura Tierney Joeran Beel
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 2020-01-01 Mark Grennan Joeran Beel
Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems. 2019-12-18 Andrew Collins Joeran Beel
Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football 2019-12-16 Nicholas Bonello Joeran Beel Séamus Lawless Jeremy Debattista
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Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights 2019-12-16 Conor O'Sullivan Joeran Beel
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Na\"iveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts. 2019-12-15 Dominika Tkaczyk Andrew Collins Joeran Beel
Memory-Augmented Neural Networks for Machine Translation 2019-09-18 Mark Collier Joeran Beel
Document Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in Digital Library Recommender Systems 2019-01-01 Andrew Collins Joeran Beel
NaĂŻveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts 2019-01-01 Dominika Tkaczyk Andrew Collins Joeran Beel
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Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football. 2019-01-01 Nicholas Bonello Joeran Beel Séamus Lawless Jeremy Debattista
Online Evaluations for Everyone: Mr. DLib’s Living Lab for Scholarly Recommendations 2019-01-01 Joeran Beel Andrew Collins Oliver Kopp Linus W. Dietz Petr Knoth
Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems 2019-01-01 Andrew Collins Joeran Beel
Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights 2019-01-01 Conor O’Sullivan Joeran Beel
Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football 2019-01-01 Nicholas Bonello Joeran Beel Séamus Lawless Jeremy Debattista
Memory-Augmented Neural Networks for Machine Translation 2019-01-01 Mark Collier Joeran Beel
An Empirical Comparison of Syllabuses for Curriculum Learning 2018-09-27 Mark Collier Joeran Beel
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Implementing Neural Turing Machines 2018-07-23 Mark Collier Joeran Beel
Mr. DLib's Living Lab for Scholarly Recommendations. 2018-07-19 Joeran Beel Andrew Collins Oliver Kopp Linus W. Dietz Petr Knoth
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A Study of Position Bias in Digital Library Recommender Systems. 2018-02-19 Andrew Collins Dominika Tkaczyk Akiko Aizawa Joeran Beel
Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers 2018-02-04 Dominika Tkaczyk Andrew Collins PĂĄraic Sheridan Joeran Beel
A Method for Discovering and Extracting Author Contributions Information from Scientific Biomedical Publications 2018-01-01 Dominika Tkaczyk Andrew Collins Joeran Beel
One-at-a-time: A Meta-Learning Recommender-System for Recommendation-Algorithm Selection on Micro Level 2018-01-01 Andrew Collins Dominika Tkaczyk Joeran Beel
Implementing Neural Turing Machines 2018-01-01 Mark Collier Joeran Beel
ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing 2018-01-01 Dominika Tkaczyk PĂĄraic Sheridan Joeran Beel
The Architecture of Mr. DLib's Scientific Recommender-System API 2018-01-01 Joeran Beel Andrew Collins Akiko Aizawa
ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers 2018-01-01 Dominika Tkaczyk Rohit Gupta Riccardo Cinti Joeran Beel
RARD II: The 94 Million Related-Article Recommendation Dataset 2018-01-01 Joeran Beel Barry Smyth Andrew Collins
An Empirical Comparison of Syllabuses for Curriculum Learning 2018-01-01 Mark Collier Joeran Beel
Implementing Neural Turing Machines 2018-01-01 Mark Collier Joeran Beel
Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers 2018-01-01 Dominika Tkaczyk Andrew Collins PĂĄraic Sheridan Joeran Beel
A Study of Position Bias in Digital Library Recommender Systems 2018-01-01 Andrew Collins Dominika Tkaczyk Akiko Aizawa Joeran Beel

Commonly Cited References

Action Title Date Authors # of times referenced
Towards effective research recommender systems for repositories 2017-05-01 Petr Knoth Lucas Anastasiou Aristotelis Charalampous Matteo Cancellieri Samuel Pearce Nancy Pontika Vaclav Bayer 5
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation 2016-01-01 Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey 4
CF4CF 2018-09-27 Tiago Cunha Carlos Soares André C. P. L. F. de Carvalho 3
Neural Turing Machines 2014-10-20 Alex Graves Greg Wayne Ivo Danihelka 3
Algorithm Selection for Combinatorial Search Problems: A Survey 2014-09-01 Lars Kotthoff 3
Online Evaluations for Everyone: Mr. DLib’s Living Lab for Scholarly Recommendations 2019-01-01 Joeran Beel Andrew Collins Oliver Kopp Linus W. Dietz Petr Knoth 2
On the difficulty of training Recurrent Neural Networks 2012-01-01 Razvan Pascanu TomĂĄĆĄ Mikolov Yoshua Bengio 2
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes 2016-10-27 Jack W. Rae Jonathan J. Hunt Tim Harley Ivo Danihelka Andrew Senior Greg Wayne Alex Graves Timothy Lillicrap 2
End-To-End Memory Networks 2015-03-31 Sainbayar Sukhbaatar Arthur Szlam Jason Weston Rob Fergus 2
LensKit for Python: Next-Generation Software for Recommender Systems Experiments 2020-10-19 Michael D. Ekstrand 2
Graph Embedding for Citation Recommendation 2018-01-01 Haofeng Jia Érik Saule 2
Effective Approaches to Attention-based Neural Machine Translation 2015-01-01 Thang Luong Hieu Pham Christopher D. Manning 2
Automated Algorithm Selection: Survey and Perspectives 2018-11-26 Pascal Kerschke Holger H. Hoos Frank Neumann Heike Trautmann 2
Neural Machine Translation by Jointly Learning to Align and Translate 2015-01-01 Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio 2
Exploring Choice Overload in Related-Article Recommendations in Digital Libraries 2017-01-01 Felix Beierle Akiko Aizawa Joeran Beel 2
Empirical Analysis of Predictive Algorithms for Collaborative Filtering 2013-01-01 John S. Breese David Heckerman Carl Kadie 1
Scikit-learn: Machine Learning in Python 2012-01-01 Fabiån Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg 1
Feature-Weighted Linear Stacking 2009-01-01 Joseph Sill G. TakĂĄcs Lester Mackey David Lin 1
Popular Ensemble Methods: An Empirical Study 1999-08-01 David W. Opitz Richard Maclin 1
An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship 2010-03-12 J. E. Hirsch 1
Assembling Actor-based Mind-Maps from Text Stream 2008-01-01 Claudine Brucks Christoph Schommer 1
Usage-based vs. Citation-based Methods for Recommending Scholarly Research Articles 2013-01-01 André Vellino 1
Neural Turing Machines 2014-10-20 Alex Graves Greg Wayne Ivo Danihelka 1
Order Matters: Sequence to sequence for sets 2015-11-19 Oriol Vinyals Samy Bengio Manjunath Kudlur 1
Neural Programmer-Interpreters 2015-01-01 Scott Reed Nando de Freitas 1
Deep Residual Learning for Image Recognition 2016-06-01 Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun 1
Reinforcement Learning Neural Turing Machines - Revised 2015-05-04 Wojciech Zaremba Ilya Sutskever 1
Semantic Publishing Challenge – Assessing the Quality of Scientific Output by Information Extraction and Interlinking 2015-01-01 Angelo Di Iorio Christoph Lange Anastasia Dimou Sahar Vahdati 1
Evaluation-as-a-Service: Overview and Outlook 2015-01-01 Allan Hanbury Henning MĂŒller Krisztian Balog Torben Brodt Gordon V. Cormack Ivan Eggel Tim Gollub Frank Hopfgartner Jayashree Kalpathy‐Cramer Noriko Kando 1
Identity Mappings in Deep Residual Networks 2016-01-01 Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun 1
Ensemble-based classifiers 2009-11-18 Lior Rokach 1
SATzilla: Portfolio-based Algorithm Selection for SAT 2008-07-01 Lizhong Xu Frank Hutter Holger H. Hoos Kevin Leyton‐Brown 1
Recommending related papers based on digital library access records 2007-06-18 Stefan Pohl Filip Radlinski Thorsten Joachims 1
Speech recognition with deep recurrent neural networks 2013-05-01 Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton 1
Automated Curriculum Learning for Neural Networks 2017-04-10 Alex Graves Marc G. Bellemare Jacob Menick Rémi Munos Koray Kavukcuoglu 1
ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries 2015-01-01 Hung‐Hsuan Chen Alexander G. Ororbia C. Lee Giles 1
Using Access Data for Paper Recommendations on ArXiv.org 2007-01-01 Stefan Pohl 1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2017-07-01 Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas 1
Neural Machine Translation by Jointly Learning to Align and Translate 2014-09-01 Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio 1
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The Number of Legal Go Positions 2016-01-01 John Tromp 1
Equivalence Tests 2017-05-01 Daniël Lakens 1
Visualizing and Understanding Curriculum Learning for Long Short-Term Memory Networks. 2016-11-18 Volkan Cirik Eduard Hovy Louis‐Philippe Morency 1
The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods 2018-04-25 Jing Wu Lian Nicholas Mattei Renee Noble Toby Walsh 1
Teacher-Student Curriculum Learning 2017-07-01 Tambet Matiisen Avital Oliver Taco Cohen John Schulman 1
Metalearning for Context-aware Filtering 2017-08-24 Tiago Cunha Carlos Soares André C. P. L. F. de Carvalho 1
New Methods for Metadata Extraction from Scientific Literature 2017-01-01 Dominika Tkaczyk 1
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm 2017-01-01 David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai Arthur Guez Marc Lanctot Laurent Sifre Dharshan Kumaran Thore Graepel 1
Learning to Warm-Start Bayesian Hyperparameter Optimization 2017-01-01 Jungtaek Kim Saehoon Kim Seungjin Choi 1
OpenML 2014-06-16 Joaquin Vanschoren Jan N. van Rijn Bernd Bischl Luı́s Torgo 1
Unbiased Learning-to-Rank with Biased Feedback 2017-02-02 Thorsten Joachims Adith Swaminathan Tobias Schnabel 1