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ORCIDMachine Learning, Volume 114
Volume 114, Number 1, January 2025
- Yael Hochma, Mark Last:
Fast online feature selection in streaming data. 1 - Javier García-Sigüenza, Manuel Curado, Faraón Llorens-Largo, Jose F. Vicent:
Self explainable graph convolutional recurrent network for spatio-temporal forecasting. 2 - Sehwan Moon, Hyunju Lee:
Deep metric loss for multimodal learning. 3 - Domen Soberl, Ivan Bratko:
Qualitative control learning can be much faster than reinforcement learning. 4 - Yuxin He, Weihang Hong, Lishuai Li, Jinlei Zhang, Jin Qin, Qin Luo:
Forecasting short-term passenger flow via CBGC-SCI: an in-depth comparative study on Shenzhen Metro. 5 - Zifan Peng, Mingchen Li, Yue Wang, Daniel Y. Mo:
Prompt-based contrastive learning to combat the COVID-19 infodemic. 6 - The Tien Mai:
Concentration properties of fractional posterior in 1-bit matrix completion. 7 - Oscar Blessed Deho, Michael Bewong, Selasi Kwashie, Jiuyong Li, Jixue Liu, Lin Liu, Srecko Joksimovic:
Is it still fair? A comparative evaluation of fairness algorithms through the lens of covariate drift. 8 - Colin Beam:
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics. 9 - Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Suncheng Xiang:
Learning multi-axis representation in frequency domain for medical image segmentation. 10 - Kuan-An Su, YiHao Su, Yun-Hsuan Lien, Yu-Shuen Wang:
Let the noise flow away: combating noisy labels using normalizing flows. 11 - Jin-Young Kim, Soonwoo Kwon, Hyojun Go, Yunsung Lee, Seungtaek Choi, Hyun-Gyoon Kim:
ScoreCL: augmentation-adaptive contrastive learning via score-matching function. 12 - Riccardo Cantini, Cristian Cosentino, Irene Kilanioti, Fabrizio Marozzo, Domenico Talia:
Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media. 13 - Xiao Liu, Jun-Jie Huang, Wentao Zhao, Ziyue Wang, Zihan Chen, Yi Pan:
SPA: A poisoning attack framework for graph neural networks through searching and pairing. 14 - Li Wang, Wei Huang:
On the convergence analysis of over-parameterized variational autoencoders: a neural tangent kernel perspective. 15 - Wei-Yao Wang, Wei-Wei Du, Derek Xu, Wei Wang, Wen-Chih Peng:
A survey on self-supervised learning for non-sequential tabular data. 16 - Trung-Hoang Le, Hady W. Lauw:
Learning to rank aspects and opinions for comparative explanations. 17 - The Tien Mai:
Misclassification bounds for PAC-Bayesian sparse deep learning. 18 - Vu-Linh Nguyen, Haifei Zhang, Sébastien Destercke:
Credal ensembling in multi-class classification. 19 - Bram Janssens, Matthias Bogaert:
PerfoRank: cluster-based performance ranking for improved performance evaluation and estimation in professional cycling. 20 - Arun Kumar Sivapuram, Komuravelli Prashanth, Rama Krishna Sai S. Gorthi:
SA-LfV: self-annotated labeling from videos for object detection. 21 - Mouad Elaarabi, Domenico Borzacchiello, Philippe Le Bot, Yves Le Guennec, Sebastien Comas-Cardona:
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks. 22 - Xiaofeng Lin, Han Bao, Yan Cui, Koh Takeuchi, Hisashi Kashima:
Scalable individual treatment effect estimator for large graphs. 23
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