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Mach. Learn.
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1986
2024
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Publications
volume 113, number 8, 2024
Vincent Mai
,
Philippe Maisonneuve
,
Tianyu Zhang
,
Hadi Nekoei
,
Liam Paull
,
Antoine Lesage-Landry
Multi-agent reinforcement learning for fast-timescale demand response of residential loads.
Mach. Learn.
113 (8) (2024)
Ata Kabán
,
Henry W. J. Reeve
Structure discovery in PAC-learning by random projections.
Mach. Learn.
113 (8) (2024)
Chamalee Wickrama Arachchi
,
Nikolaj Tatti
Recurrent segmentation meets block models in temporal networks.
Mach. Learn.
113 (8) (2024)
Janet Oluwasola Bolorunduro
,
Zhaonian Zou
,
Mohamed Jaward Bah
An effective keyword search co-occurrence multi-layer graph mining approach.
Mach. Learn.
113 (8) (2024)
Xinzhi Wang
,
Nengjun Zhu
,
Jiahao Li
,
Yudong Chang
,
Zhennan Li
Entity recognition based on heterogeneous graph reasoning of visual region and text candidate.
Mach. Learn.
113 (8) (2024)
Jean-Gabriel Gaudreault
,
Paula Branco
Empirical analysis of performance assessment for imbalanced classification.
Mach. Learn.
113 (8) (2024)
Qi Wei
,
Lei Feng
,
Haoliang Sun
,
Ren Wang
,
Rundong He
,
Yilong Yin
Learning sample-aware threshold for semi-supervised learning.
Mach. Learn.
113 (8) (2024)
Sauptik Dhar
,
Bernardo Gonzalez Torres
: deep one class classification using contradictions.
Mach. Learn.
113 (8) (2024)
Rasoul Kiani
,
Wei Jin
,
Victor S. Sheng
Survey on extreme learning machines for outlier detection.
Mach. Learn.
113 (8) (2024)
Tomás Gutierrez
,
Davi Valladão
,
Bernardo K. Pagnoncelli
PolieDRO: a novel classification and regression framework with non-parametric data-driven regularization.
Mach. Learn.
113 (8) (2024)
volume 113, number 9, 2024
Mingze Ni
,
Zhensu Sun
,
Wei Liu
Reversible jump attack to textual classifiers with modification reduction.
Mach. Learn.
113 (9) (2024)
Hanrui Wu
,
Yanxin Wu
,
Nuosi Li
,
Min Yang
,
Jia Zhang
,
Michael K. Ng
,
Jinyi Long
High-order proximity and relation analysis for cross-network heterogeneous node classification.
Mach. Learn.
113 (9) (2024)
Arthur Hoarau
,
Vincent Lemaire
,
Yolande Le Gall
,
Jean-Christophe Dubois
,
Arnaud Martin
Evidential uncertainty sampling strategies for active learning.
Mach. Learn.
113 (9) (2024)
Gabor Paczolay
,
Matteo Papini
,
Alberto Maria Metelli
,
István Á. Harmati
,
Marcello Restelli
Sample complexity of variance-reduced policy gradient: weaker assumptions and lower bounds.
Mach. Learn.
113 (9) (2024)
Dimitris Bertsimas
,
Nicholas A. G. Johnson
Compressed sensing: a discrete optimization approach.
Mach. Learn.
113 (9) (2024)
Jiachen Lyu
,
Katharina Dost
,
Yun Sing Koh
,
Jörg Wicker
Regional bias in monolingual English language models.
Mach. Learn.
113 (9) (2024)
Tuan T. Nguyen
,
Hoang H. Nguyen
,
Mina Sartipi
,
Marco Fisichella
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios.
Mach. Learn.
113 (9) (2024)
Hana Sebia
,
Thomas Guyet
,
Etienne Audureau
SWoTTeD: an extension of tensor decomposition to temporal phenotyping.
Mach. Learn.
113 (9) (2024)
Manuel Dileo
,
Matteo Zignani
Discrete-time graph neural networks for transaction prediction in Web3 social platforms.
Mach. Learn.
113 (9) (2024)
Jesse Davis
,
Lotte Bransen
,
Laurens Devos
,
Arne Jaspers
,
Wannes Meert
,
Pieter Robberechts
,
Jan Van Haaren
,
Maaike Van Roy
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned.
Mach. Learn.
113 (9) (2024)
Deliang Yang
,
Hou-Duo Qi
Supervised maximum variance unfolding.
Mach. Learn.
113 (9) (2024)
John Pavlopoulos
,
Maria Konstantinidou
,
Elpida Perdiki
,
Isabelle Marthot-Santaniello
,
Holger Essler
,
Georgios Vardakas
,
Aristidis Likas
Explainable dating of greek papyri images.
Mach. Learn.
113 (9) (2024)
Yinghua Yao
,
Yuangang Pan
,
Jing Li
,
Ivor W. Tsang
,
Xin Yao
PROUD: PaRetO-gUided diffusion model for multi-objective generation.
Mach. Learn.
113 (9) (2024)
Benedict Clark
,
Rick Wilming
,
Stefan Haufe
XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance.
Mach. Learn.
113 (9) (2024)
Arne Gevaert
,
Axel-Jan Rousseau
,
Thijs Becker
,
Dirk Valkenborg
,
Tijl De Bie
,
Yvan Saeys
Evaluating feature attribution methods in the image domain.
Mach. Learn.
113 (9) (2024)
Kei Ota
,
Devesh K. Jha
,
Asako Kanezaki
A framework for training larger networks for deep Reinforcement learning.
Mach. Learn.
113 (9) (2024)
Dai Hai Nguyen
,
Tetsuya Sakurai
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems.
Mach. Learn.
113 (9) (2024)
Emirhan Ilhan
,
Ahmet B. Koc
,
Suleyman S. Kozat
Exploiting residual errors in nonlinear online prediction.
Mach. Learn.
113 (9) (2024)
Yue Wang
,
Yi Zhou
,
Shaofeng Zou
Finite-time error bounds for Greedy-GQ.
Mach. Learn.
113 (9) (2024)
Elia Peruzzo
,
Enver Sangineto
,
Yahui Liu
,
Marco De Nadai
,
Wei Bi
,
Bruno Lepri
,
Nicu Sebe
Spatial entropy as an inductive bias for vision transformers.
Mach. Learn.
113 (9) (2024)
Ganyu Wang
,
Qingsong Zhang
,
Xiang Li
,
Boyu Wang
,
Bin Gu
,
Charles X. Ling
Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization.
Mach. Learn.
113 (9) (2024)
Francesco Gullo
,
Domenico Mandaglio
,
Andrea Tagarelli
Neural discovery of balance-aware polarized communities.
Mach. Learn.
113 (9) (2024)
Chamalee Wickrama Arachchi
,
Nikolaj Tatti
Jaccard-constrained dense subgraph discovery.
Mach. Learn.
113 (9) (2024)
Joe Germino
,
Nuno Moniz
,
Nitesh V. Chawla
FairMOE: counterfactually-fair mixture of experts with levels of interpretability.
Mach. Learn.
113 (9) (2024)
Roberto Esposito
,
Mattia Cerrato
,
Marco Locatelli
Partitioned least squares.
Mach. Learn.
113 (9) (2024)
Ofir Moshe
,
Gil Fidel
,
Ron Bitton
,
Asaf Shabtai
Improving interpretability via regularization of neural activation sensitivity.
Mach. Learn.
113 (9) (2024)
Lucas P. Damasceno
,
Egzona Rexhepi
,
Allison Shafer
,
Ian Whitehouse
,
Nathalie Japkowicz
,
Charles C. Cavalcante
,
Roberto Corizzo
,
Zois Boukouvalas
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.
Mach. Learn.
113 (9) (2024)
Pedro P. Santos
,
Diogo S. Carvalho
,
Alberto Sardinha
,
Francisco S. Melo
The impact of data distribution on Q-learning with function approximation.
Mach. Learn.
113 (9) (2024)
Alberto Carlevaro
,
Teodoro Alamo
,
Fabrizio Dabbene
,
Maurizio Mongelli
Conformal predictions for probabilistically robust scalable machine learning classification.
Mach. Learn.
113 (9) (2024)
Yunting Zhang
,
Shang Li
,
Lin Ye
,
Hongli Zhang
,
Zhe Chen
,
Binxing Fang
Kalt: generating adversarial explainable chinese legal texts.
Mach. Learn.
113 (9) (2024)
Wenhao Shu
,
Dongtao Cao
,
Wenbin Qian
,
Shipeng Li
Neighborhood relation-based incremental label propagation algorithm for partially labeled hybrid data.
Mach. Learn.
113 (9) (2024)
Omer Hofman
,
Amit Giloni
,
Yarin Hayun
,
Ikuya Morikawa
,
Toshiya Shimizu
,
Yuval Elovici
,
Asaf Shabtai
X-Detect: explainable adversarial patch detection for object detectors in retail.
Mach. Learn.
113 (9) (2024)
Jakob Raymaekers
,
Peter J. Rousseeuw
,
Tim Verdonck
,
Ruicong Yao
Fast linear model trees by PILOT.
Mach. Learn.
113 (9) (2024)
Marco Markwald
,
Elena Demidova
REFUEL: rule extraction for imbalanced neural node classification.
Mach. Learn.
113 (9) (2024)
Giuseppe Serra
,
Mathias Niepert
L2XGNN: learning to explain graph neural networks.
Mach. Learn.
113 (9) (2024)
Victor Dheur
,
Tanguy Bosser
,
Rafael Izbicki
,
Souhaib Ben Taieb
Distribution-free conformal joint prediction regions for neural marked temporal point processes.
Mach. Learn.
113 (9) (2024)
Andrea Basteri
,
Dario Trevisan
Quantitative Gaussian approximation of randomly initialized deep neural networks.
Mach. Learn.
113 (9) (2024)
Charalambos Eliades
,
Harris Papadopoulos
ICM ensemble with novel betting functions for concept drift.
Mach. Learn.
113 (9) (2024)
Tomoharu Iwata
,
Yoichi Chikahara
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers.
Mach. Learn.
113 (9) (2024)
Ambarish Moharil
,
Joaquin Vanschoren
,
Prabhant Singh
,
Damian A. Tamburri
Towards efficient AutoML: a pipeline synthesis approach leveraging pre-trained transformers for multimodal data.
Mach. Learn.
113 (9) (2024)