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Machine Learning 2023: all accepted papers

203 papers · page 1 of 3 · the most cited first · ← Machine Learning 2023

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  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
  26. Deep multimodal representation learning for generalizable person re-identification ↗Suncheng Xiang, Hao Chen, Ran Wei et al.28 citations
  27. Ensemble and continual federated learning for classification tasks ↗Fernando E. Casado, Dylan Lema, Roberto Iglesias et al.28 citations
  28. Graph similarity learning for change-point detection in dynamic networks ↗Déborah Sulem, Henry Kenlay, Mihai Cucuringu et al.27 citations
  29. UCoDe: unified community detection with graph convolutional networks ↗Atefeh Moradan, Andrew Draganov, Davide Mottin et al.27 citations
  30. Hyperparameter importance and optimization of quantum neural networks across small datasets ↗Charles Moussa, Yash J. Patel, Vedran Dunjko et al.25 citations
  31. Robust federated learning under statistical heterogeneity via hessian-weighted aggregation ↗Adnan Ahmad, Wei Luo, Antonio Robles‐Kelly24 citations
  32. Robust generative adversarial network ↗Shufei Zhang, Zhuang Qian, Kaizhu Huang et al.24 citations
  33. Hybrid acceleration techniques for the physics-informed neural networks: a comparative analysis ↗F. A. Buzaev, Jiexing Gao, I. A. Chuprov et al.22 citations
  34. GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data ↗Iwo Naglik, Mateusz Lango21 citations
  35. ROAD-R: the autonomous driving dataset with logical requirements ↗Eleonora Giunchiglia, Mihaela Cătălina Stoian, Salman S. Khan et al.21 citations
  36. \alphaILP: thinking visual scenes as differentiable logic programs ↗Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami et al.21 citations
  37. Efficient generator of mathematical expressions for symbolic regression ↗Sebastian Mežnar, Sašo Džeroski, Ljupčo Todorovski20 citations
  38. FFNSL: Feed-Forward Neural-Symbolic Learner ↗Daniel Cunnington, Mark Law, Jorge Lobo et al.19 citations
  39. Efficient learning of large sets of locally optimal classification rules ↗Van Quoc Phuong Huynh, Johannes Fürnkranz, Florian Beck17 citations
  40. Natural language inference model for customer advocacy detection in online customer engagement ↗Bilal Abu-Salih, Mohammed Alweshah, Moutaz Alazab et al.17 citations
  41. Contrastive counterfactual visual explanations with overdetermination ↗Adam White, Kwun Ho Ngan, James Phelan et al.16 citations
  42. Explaining recommendation system using counterfactual textual explanations ↗Niloofar Ranjbar, Saeedeh Momtazi, MohammadMehdi Homayoonpour16 citations
  43. Learning system parameters from turing patterns ↗David Schnoerr, Christoph Schnörr16 citations
  44. Generalizing universal adversarial perturbations for deep neural networks ↗Yanghao Zhang, Wenjie Ruan, Fu Wang et al.15 citations
  45. Multiclass optimal classification trees with SVM-splits ↗Víctor Blanco, Alberto Japón, Justo Puerto15 citations
  46. Persian offensive language detection ↗Emad Kebriaei, Ali Homayouni, Roghayeh Faraji et al.15 citations
  47. SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting ↗Rakshitha Godahewa, Geoffrey I. Webb, Daniel Francis Schmidt et al.15 citations
  48. A geometric framework for multiclass ensemble classifiers ↗Shengli Wu, Jinlong Li, Weimin Ding14 citations
  49. Cost-sensitive sparse group online learning for imbalanced data streams ↗Zhong Chen, Victor S. Sheng, Andrea Edwards et al.14 citations
  50. Federated learning with superquantile aggregation for heterogeneous data ↗Krishna Pillutla, Yassine Laguel, Jérôme Malick et al.14 citations
  51. Composite score for anomaly detection in imbalanced real-world industrial dataset ↗Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden et al.13 citations
  52. How to be fair? A study of label and selection bias ↗Marco Favier, Toon Calders, Sam Pinxteren et al.13 citations
  53. Understanding transfer learning and gradient-based meta-learning techniques ↗Mike Huisman, Aske Plaat, Jan N. van Rijn13 citations
  54. Are LSTMs good few-shot learners? ↗Mike Huisman, Thomas M. Moerland, Aske Plaat et al.12 citations
  55. FAC-fed: Federated adaptation for fairness and concept drift aware stream classification ↗Maryam Badar, Wolfgang Nejdl, Marco Fisichella12 citations
  56. Hellinger distance decision trees for PU learning in imbalanced data sets ↗Carlos Ortega Vázquez, Seppe vanden Broucke, Jochen De Weerdt12 citations
  57. Multi-armed bandits with dependent arms ↗Rahul Singh, Fang Liu, Yin Jian Sun et al.12 citations
  58. Multi-label image classification with multi-layered multi-perspective dynamic semantic representation ↗Wenlan Kuang, Zhixin Li12 citations
  59. Solving imbalanced learning with outlier detection and features reduction ↗Salvatore Lusito, Andrea Pugnana, Riccardo Guidotti12 citations
  60. Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis ↗Giovanni De Toni, Bruno Lepri, Andrea Passerini12 citations
  61. Correlated product of experts for sparse Gaussian process regression ↗Manuel Schürch, Dario Azzimonti, Alessio Benavoli et al.11 citations
  62. Holistic deep learning ↗Dimitris Bertsimas, Kimberly Villalobos Carballo, Léonard Boussioux et al.11 citations
  63. UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks ↗Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan et al.11 citations
  64. Applied machine learning to the determination of biochar hydrogen sulfide adsorption capacity ↗Abolhassan Banisheikholeslami, Farhad Qaderi10 citations
  65. Automotive fault nowcasting with machine learning and natural language processing ↗John Pavlopoulos, Alv Romell, Jacob Curman et al.10 citations
  66. Constrained regret minimization for multi-criterion multi-armed bandits ↗Anmol Kagrecha, Jayakrishnan Nair, Krishna Jagannathan10 citations
  67. Refining neural network predictions using background knowledge ↗Alessandro Daniele, Emile van Krieken, Luciano Serafini et al.10 citations
  68. Spike2CGR: an efficient method for spike sequence classification using chaos game representation ↗Taslim Murad, Sarwan Ali, Imdadullah Khan et al.10 citations
  69. Cross-model consensus of explanations and beyond for image classification models: an empirical study ↗Xuhong Li, Haoyi Xiong, Siyu Huang et al.9 citations
  70. DOC^3: deep one class classification using contradictions ↗Sauptik Dhar, Bernardo Gonzalez-Torres9 citations
  71. Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes ↗Vítor Cerqueira, Luı́s Torgo, Carlos Soares9 citations
  72. Fast parameterless prototype-based co-clustering ↗Elena Battaglia, Federico Peiretti, Ruggero G. Pensa9 citations
  73. Learning domain invariant representations of heterogeneous image data ↗Mihailo Obrenović, Thomas A. Lampert, Milos R. Ivanovic et al.9 citations
  74. Model-based trajectory stitching for improved behavioural cloning and its applications ↗Charles A. Hepburn, Giovanni Montana9 citations
  75. Multi-agent reinforcement learning for fast-timescale demand response of residential loads ↗Vincent Mai, Philippe Maisonneuve, Tianyu Zhang et al.9 citations
  76. Relational data embeddings for feature enrichment with background information ↗Alexis Cvetkov-Iliev, Alexandre Allauzen, Gael P. Varoquaux9 citations
  77. Understanding Machine Learning ↗T V Geetha, Selvaraju Sendhilkumar9 citations
  78. A3T: accuracy aware adversarial training ↗Enes Altınışık, Safa Messaoud, Hüsrev Taha Sencar et al.8 citations
  79. Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning ↗Alex Beeson, Giovanni Montana8 citations
  80. Learning state importance for preference-based reinforcement learning ↗Guoxi Zhang, Hisashi Kashima8 citations
  81. Learning with constraints ↗Marco Gori, Alessandro Betti, Stefano Melacci8 citations
  82. Temporal silhouette: validation of stream clustering robust to concept drift ↗Félix Iglesias, Tanja Zseby8 citations
  83. Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo ↗Vyacheslav Kungurtsev, Adam D. Cobb, Tara Javidi et al.7 citations
  84. Dynamic weighted ensemble for diarrhoea incidence predictions ↗Thanh Duy Do, Thuan Dinh Nguyen, Viet Cuong Ta et al.7 citations
  85. Fair tree classifier using strong demographic parity ↗António Pereira Barata, Frank W. Takes, H.J. van den Herik et al.7 citations
  86. Imbalanced gradients: a subtle cause of overestimated adversarial robustness ↗Xingjun Ma, Linxi Jiang, Hanxun Huang et al.7 citations
  87. Improving fraud detection via imbalanced graph structure learning ↗Lingfei Ren, Ruimin Hu, Yang Liu et al.7 citations
  88. On the Discrepancy between Kleinberg’s Clustering Axioms and k-Means Clustering Algorithm Behavior ↗Mieczysław A. Kłopotek, Robert Albert Kłopotek7 citations
  89. Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs ↗Ruidong Jin, Xin Liu, Tsuyoshi Murata7 citations
  90. Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams ↗Chun Wai Chiu, Leandro Lei Minku7 citations
  91. State-based episodic memory for multi-agent reinforcement learning ↗Xiao Ma, Wu-Jun Li7 citations
  92. Trimming stability selection increases variable selection robustness ↗Tino Werner7 citations
  93. Word embeddings for retrieving tabular data from research publications ↗Alberto Berenguer, José-Norberto Mazón, David Tomás7 citations
  94. Word embeddings-based transfer learning for boosted relational dependency networks ↗Thais Luca, Aline Paes, Gerson Zaverucha7 citations
  95. A hybrid ensemble method with negative correlation learning for regression ↗Yun Fei Bai, Ganglin Tian, Yanfei Kang et al.6 citations
  96. Consensus–relevance kNN and covariate shift mitigation ↗Konstantinos Kalpakis6 citations
  97. Explanatory machine learning for sequential human teaching ↗Lun Ai, Johannes Langer, Stephen Muggleton et al.6 citations
  98. Large scale multi-output multi-class classification using Gaussian processes ↗Chunchao Ma, Mauricio A. Álvarez6 citations
  99. Learning key steps to attack deep reinforcement learning agents ↗Chien-Min Yu, Ming-Hsin Chen, Hsuan-Tien Lin6 citations
  100. Learning principles ↗Marco Gori, Alessandro Betti, Stefano Melacci6 citations

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