Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization Antonio CandelieriAndrea PontiFrancesco Archetti OriginalPaper Open access 28 February 2024 Pages: 2701 - 2731
An encoding approach for stable change point detection Xiaodong WangFushing Hsieh OriginalPaper Open access 28 February 2024 Pages: 4133 - 4163
Dynamic datasets and market environments for financial reinforcement learning Xiao-Yang LiuZiyi XiaJian Guo OriginalPaper 26 February 2024 Pages: 2795 - 2839
Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads Vincent MaiPhilippe MaisonneuveAntoine Lesage-Landry Correction 23 February 2024 Pages: 3355 - 3355
Re-attentive experience replay in off-policy reinforcement learning Wei WeiDa WangJiye Liang OriginalPaper 22 February 2024 Pages: 2327 - 2349
Reinforcement learning tutor better supported lower performers in a math task Sherry RuanAllen NieEmma Brunskill OriginalPaper Open access 09 February 2024 Pages: 3023 - 3048
Goal exploration augmentation via pre-trained skills for sparse-reward long-horizon goal-conditioned reinforcement learning Lisheng WuKe Chen OriginalPaper Open access 05 February 2024 Pages: 2527 - 2557
Goal-conditioned offline reinforcement learning through state space partitioning Mianchu WangYue JinGiovanni Montana OriginalPaper Open access 05 February 2024 Pages: 2435 - 2465
Differentially private Riemannian optimization Andi HanBamdev MishraJunbin Gao OriginalPaper Open access 01 February 2024 Pages: 1133 - 1161
DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network Songwen PeiJiyao WangMingsong Chen OriginalPaper 31 January 2024 Pages: 4099 - 4112
Reduced implication-bias logic loss for neuro-symbolic learning Hao-Yuan HeWang-Zhou DaiMing Li OriginalPaper 30 January 2024 Pages: 3357 - 3377
Recurrent segmentation meets block models in temporal networks Chamalee Wickrama ArachchiNikolaj Tatti OriginalPaper Open access 30 January 2024
Hybrid approaches to optimization and machine learning methods: a systematic literature review Beatriz Flamia AzevedoAna Maria A. C. RochaAna I. Pereira OriginalPaper Open access 24 January 2024 Pages: 4055 - 4097
Paf-tracker: a novel pre-frame auxiliary and fusion visual tracker Wei LiangDerui DingHui Yu OriginalPaper 24 January 2024
DPG: a model to build feature subspace against adversarial patch attack Yunsheng XueMi WenWeiwei Li OriginalPaper 24 January 2024
Utilising energy function and variational inference training for learning a graph neural network architecture Gayathri GirishDeepak MishraSubrahamanian K. S. Moosath OriginalPaper 23 January 2024 Pages: 1219 - 1241
DynamiSE: dynamic signed network embedding for link prediction Haiting SunPeng TianHaofen Wang OriginalPaper 23 January 2024 Pages: 4037 - 4053
Empirical analysis of performance assessment for imbalanced classification Jean-Gabriel GaudreaultPaula Branco OriginalPaper 23 January 2024
Survey on extreme learning machines for outlier detection Rasoul KianiWei JinVictor S. Sheng OriginalPaper 23 January 2024
A neural meta model for predicting winter wheat crop yield Yogesh BansalDavid LillisM.-Tahar Kechadi OriginalPaper 22 January 2024 Pages: 3771 - 3788
Distributed and explainable GHSOM for anomaly detection in sensor networks Paolo MignoneRoberto CorizzoMichelangelo Ceci OriginalPaper Open access 22 January 2024 Pages: 4445 - 4486
Mental stress detection from ultra-short heart rate variability using explainable graph convolutional network with network pruning and quantisation V. AdarshG. R. Gangadharan OriginalPaper 22 January 2024
Event causality extraction through external event knowledge learning and polyhedral word embedding Xiao WeiChenyang HuangNengjun Zhu OriginalPaper 22 January 2024
Margin distribution and structural diversity guided ensemble pruning Yi-Xiao HeYu-Chang WuZhi-Hua Zhou OriginalPaper 18 January 2024 Pages: 3545 - 3567
Learning sample-aware threshold for semi-supervised learning Qi WeiLei FengYilong Yin OriginalPaper 18 January 2024
Communication-efficient clustered federated learning via model distance Mao ZhangTie ZhangLinli Xu OriginalPaper 17 January 2024 Pages: 3869 - 3888
On-the-fly image-level oversampling for imbalanced datasets of manufacturing defects Spyros TheodoropoulosPatrik ZajecPanayiotis Tsanakas OriginalPaper Open access 17 January 2024 Pages: 4013 - 4035
Understanding imbalanced data: XAI & interpretable ML framework Damien DablainColin BellingerNitesh Chawla OriginalPaper Open access 16 January 2024 Pages: 3751 - 3769
OT-net: a reusable neural optimal transport solver Zezeng LiShenghao LiZhongxuan Luo OriginalPaper 16 January 2024 Pages: 1243 - 1268
On the effects of biased quantum random numbers on the initialization of artificial neural networks Raoul HeeseMoritz WolterNico Piatkowski OriginalPaper Open access 16 January 2024 Pages: 1189 - 1217
Hierarchical U-net with re-parameterization technique for spatio-temporal weather forecasting Baowen XuXuelei WangChengbao Liu OriginalPaper 12 January 2024 Pages: 3399 - 3417
PANACEA: a neural model ensemble for cyber-threat detection Malik AL-EssaGiuseppina AndresiniDonato Malerba OriginalPaper Open access 12 January 2024
Tracking treatment effect heterogeneity in evolving environments Tian QinLong-Fei LiZhi-Hua Zhou OriginalPaper 11 January 2024 Pages: 3653 - 3673
Compositional scene modeling with global object-centric representations Tonglin ChenZhimeng ShenXiangyang Xue OriginalPaper 11 January 2024 Pages: 3505 - 3524
Explaining neural networks without access to training data Sascha MartonStefan LüdtkeHeiner Stuckenschmidt OriginalPaper Open access 10 January 2024 Pages: 3633 - 3652
Principled diverse counterfactuals in multilinear models Ioannis PapantonisVaishak Belle OriginalPaper Open access 10 January 2024 Pages: 1421 - 1443
Nrat: towards adversarial training with inherent label noise Zhen ChenFu WangWenjie Ruan OriginalPaper Open access 10 January 2024 Pages: 3589 - 3610
Structural causal models reveal confounder bias in linear program modelling Matej ZečevićDevendra Singh DhamiKristian Kersting OriginalPaper Open access 09 January 2024 Pages: 1329 - 1349
Style spectroscope: improve interpretability and controllability through Fourier analysis Zhiyu JinXuli ShenXiangyang Xue OriginalPaper 09 January 2024 Pages: 3485 - 3503
Exploiting counter-examples for active learning with partial labels Fei ZhangYunjie YeBo Han OriginalPaper 08 January 2024 Pages: 3849 - 3868
Fast deep mixtures of Gaussian process experts Clement EtienamKody J. H. LawVitaly Zankin OriginalPaper Open access 08 January 2024 Pages: 1483 - 1508
Better schedules for low precision training of deep neural networks Cameron R. WolfeAnastasios Kyrillidis OriginalPaper 08 January 2024 Pages: 3569 - 3587
Learning de-biased regression trees and forests from complex samples Malte NalenzJulian RodemannThomas Augustin OriginalPaper Open access 08 January 2024 Pages: 3379 - 3398
Task-decoupled interactive embedding network for object detection Mai LiuJichao JiaoMin Pang OriginalPaper 05 January 2024 Pages: 3829 - 3848
No regret sample selection with noisy labels Heon SongNariaki MitsuoDaiki Suehiro OriginalPaper 05 January 2024 Pages: 1163 - 1188
GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search Yuchen LiHaoyi XiongDawei Yin OriginalPaper 05 January 2024
Entity recognition based on heterogeneous graph reasoning of visual region and text candidate Xinzhi WangNengjun ZhuZhennan Li OriginalPaper 05 January 2024
Correction to: Learning to bid and rank together in recommendation systems Geng JiWentao JiangZheqing Zhu Correction Open access 04 January 2024 Pages: 1509 - 1509
Persistence B-spline grids: stable vector representation of persistence diagrams based on data fitting Zhetong DongHongwei LinGengchen Li OriginalPaper 03 January 2024 Pages: 1373 - 1420
Bayesian tensor factorisations for time series of counts Zhongzhen WangPetros DellaportasIoannis Kosmidis OriginalPaper Open access 27 December 2023 Pages: 3731 - 3750
