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Machine Learning, Volume 113
Volume 113, Number 1, January 2024
- Déborah Sulem
, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong:
Graph similarity learning for change-point detection in dynamic networks. 1-44 - Rahul Singh
, Fang Liu, Yin Sun, Ness B. Shroff:
Multi-armed bandits with dependent arms. 45-71 - Vasco Lopes, Fabio Maria Carlucci
, Pedro M. Esperança, Marco Singh, Antoine Yang, Victor Gabillon, Hang Xu, Zewei Chen, Jun Wang:
Manas: multi-agent neural architecture search. 73-96 - Ehsan Kazemi, Liqiang Wang:
Efficient zeroth-order proximal stochastic method for nonconvex nonsmooth black-box problems. 97-120 - Hongyu Wang
, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes:
Feature extractor stacking for cross-domain few-shot learning. 121-158 - Dimitris Bertsimas
, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov:
Holistic deep learning. 159-183 - Davide Cacciarelli
, Murat Kulahci
:
Active learning for data streams: a survey. 185-239 - Young Woong Park
, Jinhak Kim, Dan Zhu:
Discordance minimization-based imputation algorithms for missing values in rating data. 241-279 - Nam Le Hai, Trang Nguyen, Ngo Van Linh
, Thien Huu Nguyen, Khoat Than:
Continual variational dropout: a view of auxiliary local variables in continual learning. 281-323 - Konstantinos Kalpakis
:
Consensus-relevance kNN and covariate shift mitigation. 325-353 - Yanzhe Bekkemoen
:
Explainable reinforcement learning (XRL): a systematic literature review and taxonomy. 355-441 - Alex Beeson, Giovanni Montana
:
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning. 443-488 - Anna Arutyunova, Anna Großwendt, Heiko Röglin, Melanie Schmidt, Julian Wargalla:
Upper and lower bounds for complete linkage in general metric spaces. 489-518
Volume 113, Number 2, February 2024
- Paul Viallard
, Pascal Germain, Amaury Habrard, Emilie Morvant:
A general framework for the practical disintegration of PAC-Bayesian bounds. 519-604 - Cyprien Gilet
, Marie Guyomard, Sébastien Destercke
, Lionel Fillatre
:
Softmin discrete minimax classifier for imbalanced classes and prior probability shifts. 605-645 - Charles A. Hepburn
, Giovanni Montana
:
Model-based trajectory stitching for improved behavioural cloning and its applications. 647-674 - Mohammadreza Qaraei
, Rohit Babbar
:
Meta-classifier free negative sampling for extreme multilabel classification. 675-697 - Xingjian Li
, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou:
Towards accurate knowledge transfer via target-awareness representation disentanglement. 699-723 - Mike Huisman
, Aske Plaat, Jan N. van Rijn:
Subspace Adaptation Prior for Few-Shot Learning. 725-752 - Christophe Denis, Mohamed Hebiri, Boris Ndjia Njike
, Xavier Siebert:
Active learning algorithm through the lens of rejection arguments. 753-788 - Cheng-Der Fuh, Chuan-Ju Wang
, Chen-Hung Pai:
Markov chain importance sampling for minibatches. 789-814 - Xiaotong Jiang
, Xin Zhou, Michael R. Kosorok:
Deep doubly robust outcome weighted learning. 815-842 - John Pavlopoulos
, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren
, Markus Borg
, Korbinian Randl
:
Automotive fault nowcasting with machine learning and natural language processing. 843-861 - René Heinrich
, Christoph Scholz
, Stephan Vogt
, Malte Lehna
:
Targeted adversarial attacks on wind power forecasts. 863-889 - Yuan Zhong
, Wei Xu, Xin Gao
:
Heterogeneous multi-task feature learning with mixed ℓ 2,1 regularization. 891-932 - Michael Lau
, Tamara Schikowski, Holger Schwender:
logicDT: a procedure for identifying response-associated interactions between binary predictors. 933-992 - Vân Anh Huynh-Thu
, Pierre Geurts:
Optimizing model-agnostic random subspace ensembles. 993-1042
Volume 113, Number 3, March 2024
- Théo Verhelst
, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi
:
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment. 1043-1067 - Lingfei Ren, Ruimin Hu
, Yang Liu, Dengshi Li, Junhang Wu, Yilong Zang, Wenyi Hu:
Improving fraud detection via imbalanced graph structure learning. 1069-1090 - Ashwin Srinivasan
, A. Baskar, Tirtharaj Dash, Devanshu Shah:
Composition of relational features with an application to explaining black-box predictors. 1091-1132 - Andi Han
, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Differentially private Riemannian optimization. 1133-1161 - Heon Song, Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro
:
No regret sample selection with noisy labels. 1163-1188 - Raoul Heese
, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski
:
On the effects of biased quantum random numbers on the initialization of artificial neural networks. 1189-1217 - Gayathri Girish, Deepak Mishra
, Subrahamanian Moosath K. S.:
Utilising energy function and variational inference training for learning a graph neural network architecture. 1219-1241 - Zezeng Li, Shenghao Li, Lianbao Jin, Na Lei
, Zhongxuan Luo:
OT-net: a reusable neural optimal transport solver. 1243-1268 - Thais Luca
, Aline Paes, Gerson Zaverucha:
Word embeddings-based transfer learning for boosted relational dependency networks. 1269-1302 - Siwen Yan
, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli:
Explainable models via compression of tree ensembles. 1303-1328 - Matej Zecevic, Devendra Singh Dhami
, Kristian Kersting:
Structural causal models reveal confounder bias in linear program modelling. 1329-1349 - Victor Verreet
, Luc De Raedt
, Jessa Bekker
:
Modeling PU learning using probabilistic logic programming. 1351-1372 - Zhetong Dong, Hongwei Lin
, Chi Zhou, Ben Zhang, Gengchen Li:
Persistence B-spline grids: stable vector representation of persistence diagrams based on data fitting. 1373-1420 - Ioannis Papantonis
, Vaishak Belle:
Principled diverse counterfactuals in multilinear models. 1421-1443 - Evangelos Michelioudakis
, Alexander Artikis, Georgios Paliouras:
Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity. 1445-1481 - Clement Etienam, Kody J. H. Law, Sara Wade, Vitaly Zankin
:
Fast deep mixtures of Gaussian process experts. 1483-1508 - Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu:
Correction to: Learning to bid and rank together in recommendation systems. 1509
Volume 113, Number 4, April 2024
- Shudong Zhang
, Haichang Gao, Chao Shu, Xiwen Cao, Yunyi Zhou, Jianping He:
Black-box Bayesian adversarial attack with transferable priors. 1511-1528 - Zac Pullar-Strecker
, Katharina Dost
, Eibe Frank, Jörg Wicker
:
Hitting the target: stopping active learning at the cost-based optimum. 1529-1547 - Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang
:
Partial label learning with emerging new labels. 1549-1565 - Sambhav Jain
, Reshma Rastogi:
Parametric non-parallel support vector machines for pattern classification. 1567-1594 - Andi Han
, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian block SPD coupling manifold and its application to optimal transport. 1595-1622 - Yunyun Wang, Yao Liu, Songcan Chen
:
Towards adaptive unknown authentication for universal domain adaptation by classifier paradox. 1623-1641 - Jie-Jing Shao, Xiaowen Yang, Lan-Zhe Guo
:
Open-set learning under covariate shift. 1643-1659 - Chen Jia
, Yue Zhang:
Meta-learning the invariant representation for domain generalization. 1661-1681 - Henry W. J. Reeve, Ata Kabán
, Jakramate Bootkrajang:
Heterogeneous sets in dimensionality reduction and ensemble learning. 1683-1704 - Xiangyu Yin, Wenjie Ruan
, Jonathan E. Fieldsend:
DIMBA: discretely masked black-box attack in single object tracking. 1705-1723 - Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo:
Transfer and share: semi-supervised learning from long-tailed data. 1725-1742 - Tianxiang Qin, Shikui Tu
, Lei Xu:
IA-NGM: A bidirectional learning method for neural graph matching with feature fusion. 1743-1769 - Ronghui Mu, Wenjie Ruan
, Leandro Soriano Marcolino, Qiang Ni:
3DVerifier: efficient robustness verification for 3D point cloud models. 1771-1798 - Shonosuke Harada, Hisashi Kashima:
InfoCEVAE: treatment effect estimation with hidden confounding variables matching. 1799-1817 - Luofeng Liao, Li Shen
, Jia Duan, Mladen Kolar, Dacheng Tao:
Local AdaGrad-type algorithm for stochastic convex-concave optimization. 1819-1838 - Peng Tan
, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Towards enabling learnware to handle heterogeneous feature spaces. 1839-1860 - Lan Li, De-Chuan Zhan
, Xin-Chun Li:
Aligning model outputs for class imbalanced non-IID federated learning. 1861-1884 - Guoxi Zhang
, Hisashi Kashima:
Learning state importance for preference-based reinforcement learning. 1885-1901 - Jialiang Shen
, Yu Yao, Shaoli Huang, Zhiyong Wang, Jing Zhang
, Ruxing Wang, Jun Yu, Tongliang Liu:
ProtoSimi: label correction for fine-grained visual categorization. 1903-1920 - Suncheng Xiang
, Hao Chen, Wei Ran, Zefang Yu, Ting Liu, Dahong Qian, Yuzhuo Fu:
Deep multimodal representation learning for generalizable person re-identification. 1921-1939 - Charles Moussa
, Yash J. Patel
, Vedran Dunjko, Thomas Bäck, Jan N. van Rijn:
Hyperparameter importance and optimization of quantum neural networks across small datasets. 1941-1966 - Iiro Kumpulainen
, Nikolaj Tatti
:
Dense subgraphs induced by edge labels. 1967-1987 - Niloofar Ranjbar, Saeedeh Momtazi
, MohammadMehdi Homayoonpour:
Explaining recommendation system using counterfactual textual explanations. 1989-2012 - Michela Proietti
, Alessio Ragno, Biagio La Rosa, Rino Ragno
, Roberto Capobianco
:
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening. 2013-2044 - Valentina Arrigoni
, Luisa Repele, Dario Marino Saccavino:
Textmatcher: cross-attentional neural network to compare image and text. 2045-2066 - Félix Iglesias Vázquez
, Tanja Zseby:
Temporal silhouette: validation of stream clustering robust to concept drift. 2067-2091 - Ruidong Jin, Xin Liu
, Tsuyoshi Murata
:
Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs. 2093-2127 - Thanh Duy Do
, Thuan Dinh Nguyen, Viet Cuong Ta, Duong Tran Anh, Tuyet-Hanh Tran Thi, Diep Phan, Son T. Mai:
Dynamic weighted ensemble for diarrhoea incidence predictions. 2129-2152 - Elena Battaglia, Federico Peiretti
, Ruggero G. Pensa
:
Fast parameterless prototype-based co-clustering. 2153-2181 - Lucas P. Damasceno
, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz
, Charles C. Cavalcante
, Roberto Corizzo
, Zois Boukouvalas
:
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events. 2183-2205 - Manuel Dileo
, Matteo Zignani
, Sabrina Gaito
:
Temporal graph learning for dynamic link prediction with text in online social networks. 2207-2226 - Alberto Berenguer
, Jose-Norberto Mazón, David Tomás:
Word embeddings for retrieving tabular data from research publications. 2227-2248 - Bilal Abu-Salih
, Mohammed Alweshah, Moutaz Alazab, Manaf Al-Okaily, Muteeb Alahmari, Mohammad Alhabashneh, Saleh Al-Sharaeh:
Natural language inference model for customer advocacy detection in online customer engagement. 2249-2275 - Vidyadhar Jinnappa Aski, Rugved Sanjay Chavan, Vijaypal Singh Dhaka, Geeta Rani, Ester Zumpano, Eugenio Vocaturo:
Forecasting of mobile network traffic and spatio-temporal analysis using modLSTM. 2277-2300
Volume 113, Number 5, May 2024
- Xingjun Ma, Linxi Jiang, Hanxun Huang
, Zejia Weng, James Bailey, Yu-Gang Jiang:
Imbalanced gradients: a subtle cause of overestimated adversarial robustness. 2301-2326 - Wei Wei, Da Wang, Lin Li, Jiye Liang
:
Re-attentive experience replay in off-policy reinforcement learning. 2327-2349 - Zayd Hammoudeh
, Daniel Lowd
:
Training data influence analysis and estimation: a survey. 2351-2403 - Carlos Pinzón
, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia:
On the incompatibility of accuracy and equal opportunity. 2405-2434 - Mianchu Wang, Yue Jin, Giovanni Montana
:
Goal-conditioned offline reinforcement learning through state space partitioning. 2435-2465 - Taeyoung Kim, Myungjoo Kang:
Bounding the Rademacher complexity of Fourier neural operators. 2467-2498 - Mahum Naseer
, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique:
UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks. 2499-2526 - Lisheng Wu, Ke Chen
:
Goal exploration augmentation via pre-trained skills for sparse-reward long-horizon goal-conditioned reinforcement learning. 2527-2557 - Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu:
Learning to bid and rank together in recommendation systems. 2559-2573 - Chenkang Zhang, Heng Huang, Bin Gu:
Tackle balancing constraints in semi-supervised ordinal regression. 2575-2595 - Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
:
Neural network relief: a pruning algorithm based on neural activity. 2597-2618 - Tianyu Li, Doina Precup, Guillaume Rabusseau
:
Connecting weighted automata, tensor networks and recurrent neural networks through spectral learning. 2619-2653 - Jenny Yang
, Rasheed El-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David W. Eyre, Lei Lu, David A. Clifton:
Deep reinforcement learning for multi-class imbalanced training: applications in healthcare. 2655-2674 - Ramij Raja Hossain
, Tianzhixi Yin
, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang:
Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning. 2675-2700 - Antonio Candelieri
, Andrea Ponti
, Francesco Archetti
:
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization. 2701-2731 - Kaito Ariu
, Jungseul Ok, Alexandre Proutière, Seyoung Yun:
Optimal clustering from noisy binary feedback. 2733-2764 - Feliu Serra-Burriel, Pedro Delicado
, Fernando M. Cucchietti, Eduardo Graells-Garrido, Alex Gil, Imanol Eguskiza Martínez:
When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days. 2765-2794 - Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo:
Dynamic datasets and market environments for financial reinforcement learning. 2795-2839 - Denis Béchet
, Annie Foret:
Incremental learning of iterated dependencies. 2841-2875 - Gail Weiss
, Yoav Goldberg, Eran Yahav:
Extracting automata from recurrent neural networks using queries and counterexamples (extended version). 2877-2919 - Haoxi Zhan, Xiaobing Pei:
Dealing with the unevenness: deeper insights in graph-based attack and defense. 2921-2953 - Krishna Pillutla
, Yassine Laguel, Jérôme Malick, Zaïd Harchaoui:
Federated learning with superquantile aggregation for heterogeneous data. 2955-3022 - Sherry Ruan, Allen Nie, William Steenbergen, Jiayu He, J. Q. Zhang, Meng Guo, Yao Liu, Kyle Dang Nguyen, Catherine Y. Wang, Rui Ying, James A. Landay, Emma Brunskill
:
Reinforcement learning tutor better supported lower performers in a math task. 3023-3048 - Pavlos Athanasios Apostolopoulos
, Zehui Wang, Hanson Wang, Tenghyu Xu, Chad Zhou, Kittipat Virochsiri, Norm Zhou, Igor L. Markov:
Personalization for web-based services using offline reinforcement learning. 3049-3071 - Kilian Hendrickx
, Lorenzo Perini, Dries Van der Plas, Wannes Meert, Jesse Davis:
Machine learning with a reject option: a survey. 3073-3110 - Sofie Goethals
, David Martens, Toon Calders:
PreCoF: counterfactual explanations for fairness. 3111-3142 - Weronika Hryniewska
, Adrianna Grudzien, Przemyslaw Biecek:
LIMEcraft: handcrafted superpixel selection and inspection for Visual eXplanations. 3143-3160 - Joachim Sicking
, Maram Akila, Maximilian Pintz, Tim Wirtz, Stefan Wrobel, Asja Fischer:
Wasserstein dropout. 3161-3204 - Clément Benesse
, Fabrice Gamboa, Jean-Michel Loubes, Thibaut Boissin:
Fairness seen as global sensitivity analysis. 3205-3232 - Rémi Eyraud
, Stéphane Ayache:
Distillation of weighted automata from recurrent neural networks using a spectral approach. 3233-3266 - Chihiro Shibata
:
Learning (k,l)-context-sensitive probabilistic grammars with nonparametric Bayesian approach. 3267-3301 - Lukasz Korycki, Bartosz Krawczyk
:
Correction: Adversarial concept drift detection under poisoning attacks for robust data stream mining. 3303-3304 - António Pereira Barata, Frank W. Takes, H. Jaap van den Herik, Cor J. Veenman:
Fair tree classifier using strong demographic parity. 3305-3324 - Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
Gradient boosted trees for evolving data streams. 3325-3352 - Yogesh Bansal
, David Lillis
, M. Tahar Kechadi
:
Correction to: A neural meta-model for predicting winter wheat crop yield. 3353 - Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei
, Liam Paull, Antoine Lesage-Landry:
Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads. 3355
Volume 113, Number 6, June 2024
- Hao-Yuan He, Wang-Zhou Dai, Ming Li:
Reduced implication-bias logic loss for neuro-symbolic learning. 3357-3377 - Malte Nalenz
, Julian Rodemann, Thomas Augustin:
Learning de-biased regression trees and forests from complex samples. 3379-3398 - Baowen Xu
, Xuelei Wang, Jingwei Li, Chengbao Liu:
Hierarchical U-net with re-parameterization technique for spatio-temporal weather forecasting. 3399-3417 - Abolhassan Banisheikholeslami, Farhad Qaderi:
Applied machine learning to the determination of biochar hydrogen sulfide adsorption capacity. 3419-3441 - Wenlan Kuang, Zhixin Li
:
Multi-label image classification with multi-layered multi-perspective dynamic semantic representation. 3443-3461 - Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
:
Online binary classification from similar and dissimilar data. 3463-3484 - Zhiyu Jin, Xuli Shen, Bin Li
, Xiangyang Xue:
Style spectroscope: improve interpretability and controllability through Fourier analysis. 3485-3503 - Tonglin Chen, Zhimeng Shen, Bin Li
, Xiangyang Xue:
Compositional scene modeling with global object-centric representations. 3505-3524 - Sándor Szedmák
, Riikka Huusari, Tat Hong Duong Le, Juho Rousu:
Scalable variable selection for two-view learning tasks with projection operators. 3525-3544 - Yi-Xiao He, Yu-Chang Wu, Chao Qian, Zhi-Hua Zhou:
Margin distribution and structural diversity guided ensemble pruning. 3545-3567 - Cameron R. Wolfe
, Anastasios Kyrillidis:
Better schedules for low precision training of deep neural networks. 3569-3587 - Zhen Chen, Fu Wang, Ronghui Mu, Peipei Xu, Xiaowei Huang, Wenjie Ruan
:
Nrat: towards adversarial training with inherent label noise. 3589-3610 - Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang:
Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation. 3611-3631 - Sascha Marton
, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt:
Explaining neural networks without access to training data. 3633-3652 - Tian Qin, Long-Fei Li, Tian-Zuo Wang, Zhi-Hua Zhou:
Tracking treatment effect heterogeneity in evolving environments. 3653-3673 - Fedor Buzaev, Jiexing Gao
, Ivan Chuprov, Evgeniy Kazakov:
Hybrid acceleration techniques for the physics-informed neural networks: a comparative analysis. 3675-3692 - Ralf Riedel
, Aviv Segev:
Neural network structure simplification by assessing evolution in node weight magnitude. 3693-3710 - Yinghua Yao
, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao:
Sanitized clustering against confounding bias. 3711-3730 - Zhongzhen Wang, Petros Dellaportas
, Ioannis Kosmidis:
Bayesian tensor factorisations for time series of counts. 3731-3750 - Damien Dablain
, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla:
Understanding imbalanced data: XAI & interpretable ML framework. 3751-3769 - Yogesh Bansal
, David Lillis
, M. Tahar Kechadi
:
A neural meta model for predicting winter wheat crop yield. 3771-3788 - Feng Yan
, Zhe Li, Wushour Silamu, Yanbing Li:
Knowledge-aware image understanding with multi-level visual representation enhancement for visual question answering. 3789-3805 - Haiyang Yu, Jingye Chen, Bin Li
, Xiangyang Xue:
Chinese character recognition with radical-structured stroke trees. 3807-3827 - Mai Liu, Jichao Jiao
, Ning Li, Min Pang:
Task-decoupled interactive embedding network for object detection. 3829-3848 - Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han:
Exploiting counter-examples for active learning with partial labels. 3849-3868 - Mao Zhang, Tie Zhang, Yifei Cheng, Changcun Bao, Haoyu Cao, Deqiang Jiang, Linli Xu
:
Communication-efficient clustered federated learning via model distance. 3869-3888
Volume 113, Number 7, July 2024
- Wenya Shi, Gang Wu:
New algorithms for trace-ratio problem with application to high-dimension and large-sample data dimensionality reduction. 3889-3916 - Tim Verdonck
, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke:
Special issue on feature engineering editorial. 3917-3928 - Rui-Ray Zhang
, Massih-Reza Amini:
Generalization bounds for learning under graph-dependence: a survey. 3929-3959 - Susobhan Ghosh
, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy:
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. 3961-3997 - Keheng Wang, Chuantao Yin
, Rumei Li, Sirui Wang, Yunsen Xian, Wenge Rong, Zhang Xiong:
TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning. 3999-4012 - Spyros Theodoropoulos
, Patrik Zajec, Joze M. Rozanec, Dimosthenis Kyriazis, Panayiotis Tsanakas:
On-the-fly image-level oversampling for imbalanced datasets of manufacturing defects. 4013-4035 - Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang
:
DynamiSE: dynamic signed network embedding for link prediction. 4037-4053 - Beatriz Flamia Azevedo
, Ana Maria A. C. Rocha
, Ana I. Pereira
:
Hybrid approaches to optimization and machine learning methods: a systematic literature review. 4055-4097 - Songwen Pei
, Jiyao Wang, Bingxue Zhang, Wei Qin, Hai Xue, Xiaochun Ye, Mingsong Chen:
DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network. 4099-4112 - Mike Huisman
, Aske Plaat, Jan N. van Rijn:
Understanding transfer learning and gradient-based meta-learning techniques. 4113-4132 - Xiaodong Wang
, Fushing Hsieh:
An encoding approach for stable change point detection. 4133-4163 - Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano
:
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework. 4165-4243 - Yanou Ramon
, David Martens, Theodoros Evgeniou, Stiene Praet:
Can metafeatures help improve explanations of prediction models when using behavioral and textual data? 4245-4284 - Tran Thi Hong Hanh, Matej Martinc, Andraz Repar, Nikola Ljubesic, Antoine Doucet, Senja Pollak
:
Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling? 4285-4314 - Kejie Tang, Weidong Liu, Xiaojun Mao
:
Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning. 4315-4357 - Emad Kebriaei
, Ali Homayouni, Roghayeh Faraji, Armita Razavi, Azadeh Shakery, Heshaam Faili, Yadollah Yaghoobzadeh:
Persian offensive language detection. 4359-4379 - Arnaud Bougaham
, Mohammed El Adoui, Isabelle Linden, Benoît Frénay:
Composite score for anomaly detection in imbalanced real-world industrial dataset. 4381-4406 - Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang
:
Cost-sensitive sparse group online learning for imbalanced data streams. 4407-4444 - Paolo Mignone
, Roberto Corizzo
, Michelangelo Ceci
:
Distributed and explainable GHSOM for anomaly detection in sensor networks. 4445-4486 - Jaromír Janisch
, Tomás Pevný, Viliam Lisý:
Classification with costly features in hierarchical deep sets. 4487-4522 - Vítor Cerqueira
, Nuno Moniz
, Carlos Soares
:
VEST: automatic feature engineering for forecasting. 4523-4545 - Carlos Ortega Vázquez
, Seppe vanden Broucke
, Jochen De Weerdt
:
Hellinger distance decision trees for PU learning in imbalanced data sets. 4547-4578 - Andreas C. Bueff
, Vaishak Belle:
Learning explanatory logical rules in non-linear domains: a neuro-symbolic approach. 4579-4614 - Francisco de Arriba Pérez
, Silvia García-Méndez, Fátima Leal, Benedita Malheiro, Juan-Carlos Burguillo:
Exposing and explaining fake news on-the-fly. 4615-4637 - Zhendong Wang
, Isak Samsten, Ioanna Miliou, Rami Mochaourab, Panagiotis Papapetrou:
Glacier: guided locally constrained counterfactual explanations for time series classification. 4639-4669 - Chun Wai Chiu
, Leandro L. Minku
:
Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams. 4671-4721 - Özge Sürer
, Daniel W. Apley, Edward C. Malthouse:
Coefficient tree regression: fast, accurate and interpretable predictive modeling. 4723-4759 - Ekaterina Loginova
, Wai Kit Tsang
, Guus van Heijningen, Louis-Philippe Kerkhove, Dries F. Benoit
:
Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data. 4761-4784 - Damien Dablain
, Kristen N. Jacobson, Colin Bellinger, Mark Roberts, Nitesh V. Chawla:
Understanding CNN fragility when learning with imbalanced data. 4785-4810 - Hampus Gummesson Svensson
, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani:
Utilizing reinforcement learning for de novo drug design. 4811-4843 - Kushankur Ghosh
, Colin Bellinger, Roberto Corizzo, Paula Branco
, Bartosz Krawczyk, Nathalie Japkowicz:
The class imbalance problem in deep learning. 4845-4901 - Dina Elreedy
, Amir F. Atiya, Firuz Kamalov:
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning. 4903-4923 - Katarzyna Woznica
, Mateusz Grzyb, Zuzanna Trafas, Przemyslaw Biecek:
Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks. 4925-4949 - Qi WeiLei
, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin:
Correction: Learning sample-aware threshold for semi-supervised learning. 4951
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