📰 Machine Learning 2023 — papers

The works of Machine Learning published in 2023 that our library holds (publisher: Springer Science+Business Media): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning ↗Dina Elreedy, Amir F. Atiya, Firuz Kamalov388 citations
2. Classifier calibration: a survey on how to assess and improve predicted class probabilities ↗Telmo M. Silva Filho, Hao Song, Miquel Perelló-Nieto et al.211 citations
3. A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework ↗Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano164 citations
4. Domain adversarial neural networks for domain generalization: when it works and how to improve ↗Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang134 citations
5. Active learning for data streams: a survey ↗Davide Cacciarelli, Murat Külahçı110 citations
6. On the sample complexity of actor-critic method for reinforcement learning with function approximation ↗Harshat Kumar, Alec Koppel, Alejandro Ribeiro70 citations
7. Understanding CNN fragility when learning with imbalanced data ↗Damien A. Dablain, Kristen N. Jacobson, Colin Bellinger et al.69 citations
8. Fraud detection with natural language processing ↗Petros Boulieris, John Pavlopoulos, Alexandros Xenos et al.57 citations
9. Incremental permutation feature importance (iPFI): towards online explanations on data streams ↗Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier et al.54 citations
10. Deep reinforcement learning for multi-class imbalanced training: applications in healthcare ↗Jenny Yang, Rasheed El-Bouri, Odhran O’Donoghue et al.53 citations

All works of the year (203)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning ↗Dina Elreedy, Amir F. Atiya, Firuz Kamalov388 citations
2. Classifier calibration: a survey on how to assess and improve predicted class probabilities ↗Telmo M. Silva Filho, Hao Song, Miquel Perelló-Nieto et al.211 citations
3. A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework ↗Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano164 citations
4. Domain adversarial neural networks for domain generalization: when it works and how to improve ↗Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang134 citations
5. Active learning for data streams: a survey ↗Davide Cacciarelli, Murat Külahçı110 citations
6. On the sample complexity of actor-critic method for reinforcement learning with function approximation ↗Harshat Kumar, Alec Koppel, Alejandro Ribeiro70 citations
7. Understanding CNN fragility when learning with imbalanced data ↗Damien A. Dablain, Kristen N. Jacobson, Colin Bellinger et al.69 citations
8. Fraud detection with natural language processing ↗Petros Boulieris, John Pavlopoulos, Alexandros Xenos et al.57 citations
9. Incremental permutation feature importance (iPFI): towards online explanations on data streams ↗Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier et al.54 citations
10. Deep reinforcement learning for multi-class imbalanced training: applications in healthcare ↗Jenny Yang, Rasheed El-Bouri, Odhran O’Donoghue et al.53 citations
11. Explainable reinforcement learning (XRL): a systematic literature review and taxonomy ↗Yanzhe Bekkemoen51 citations
12. Libsignal: an open library for traffic signal control ↗Hao Mei, Xiaoliang Lei, Longchao Da et al.47 citations
13. WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification ↗Patrick Schäfer, Ulf Leser47 citations
14. Deep learning’s shallow gains: a comparative evaluation of algorithms for automatic music generation ↗Zongyu Yin, Federico Reuben, Susan Stepney et al.44 citations
15. Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening ↗Michela Proietti, Alessio Ragno, Biagio La Rosa et al.44 citations
16. A survey of class-imbalanced semi-supervised learning ↗Qian Gui, Zhou Hong, Na Guo et al.43 citations
17. Temporal graph learning for dynamic link prediction with text in online social networks ↗Manuel Dileo, Matteo Zignani, Sabrina Gaito38 citations
18. Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation ↗Yuntao Du, Haiyang Yang, Mingcai Chen et al.37 citations
19. Chinese character recognition with radical-structured stroke trees ↗Haiyang Yu, Jingye Chen, Bin Li et al.34 citations
20. Considerations when learning additive explanations for black-box models ↗Sarah Tan, Giles Hooker, Paul Koch et al.33 citations
21. Targeted adversarial attacks on wind power forecasts ↗René Heinrich, Christoph Scholz, Stephan Vogt et al.32 citations
22. Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning ↗Ramij Raja Hossain, Tianzhixi Yin, Yan Du et al.31 citations
23. PreCoF: counterfactual explanations for fairness ↗Sofie Goethals, David Martens, Toon Calders31 citations
24. Manas: multi-agent neural architecture search ↗Vasco Lopes, Fabio Maria Carlucci, Pedro M. Esperança et al.30 citations
25. Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification ↗Alexander Brenning29 citations

See all 203 papers in Machine Learning 2023 — papers →

📄 Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery SystemsMachine LearningStefan Kramer, Mattia Cerrato, Jannis Brugger, et al.2023 · 13 citations

📚 Fields

🖥️Computer Science (1)🧱Materials Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Johannes Gutenberg University MainzMainz · Germany1 work here🎓University of CambridgeCambridge · United Kingdom1 work here🔬Jožef Stefan InstituteLjubljana · Slovenia1 work here🎓Technische Universität DarmstadtDarmstadt · Germany1 work here🎓Jožef Stefan International Postgraduate SchoolLjubljana · Slovenia1 work here🔬Hessian Center for Artificial IntelligenceDarmstadt · Germany1 work here🎓Chalmers University of TechnologyGothenburg · Sweden1 work here

works and citations from OpenAlex and our library.

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