Random fourier features for asymmetric kernels Mingzhen HeFan HeXiaolin Huang OriginalPaper 30 September 2024
Efficient private SCO for heavy-tailed data via averaged clipping Chenhan JinKaiwen ZhouTieyong Zeng OriginalPaper Open access 30 September 2024
Fedpower: privacy-preserving distributed eigenspace estimation Xiao GuoXiang LiZhihua Zhang OriginalPaper 26 September 2024
Normalizing flow sampling with Langevin dynamics in the latent space Florentin CoeurdouxNicolas DobigeonPierre Chainais OriginalPaper Open access 25 September 2024
A data- and knowledge-driven framework for developing machine learning models to predict soccer match outcomes Daniel BerrarPhilippe LopesWerner Dubitzky OriginalPaper Open access 24 September 2024
Efficient and provable online reduced rank regression via online gradient descent Xiao LiuWeidong LiuXiaojun Mao OriginalPaper 23 September 2024
Explaining outliers and anomalous groups via subspace density contrastive loss Fabrizio AngiulliFabio FassettiLuigi Palopoli OriginalPaper Open access 23 September 2024
On metafeatures’ ability of implicit concept identification Joanna KomorniczakPaweł Ksieniewicz OriginalPaper Open access 18 September 2024
Towards a foundation large events model for soccer Tiago Mendes-NevesLuís MeirelesJoão Mendes-Moreira OriginalPaper Open access 13 September 2024
Persistent Laplacian-enhanced algorithm for scarcely labeled data classification Gokul BhusalEkaterina MerkurjevGuo-Wei Wei OriginalPaper 13 September 2024
Conformal prediction for regression models with asymmetrically distributed errors: application to aircraft navigation during landing maneuver Solène VilfroyLionel BombrunPhilippe Carré OriginalPaper 09 September 2024
Evaluating large language models for user stance detection on X (Twitter) Margherita GambiniCaterina SenetteMaurizio Tesconi OriginalPaper Open access 06 September 2024
In-game soccer outcome prediction with offline reinforcement learning Pegah RahimianBalazs Mark MihalyiLaszlo Toka OriginalPaper Open access 06 September 2024
Nested barycentric coordinate system as an explicit feature map for polyhedra approximation and learning tasks Lee-Ad GottliebEran KaufmanOfir Pele OriginalPaper Open access 05 September 2024
Self-organizing maps with adaptive distances for multiple dissimilarity matrices Laura Maria Palomino MariñoFrancisco de Assis Tenorio de Carvalho OriginalPaper 03 September 2024
Generalization of temporal logic tasks via future dependent options Duo XuFaramarz Fekri OriginalPaper 26 August 2024
Evaluating soccer match prediction models: a deep learning approach and feature optimization for gradient-boosted trees Calvin YeungRory BunkerKeisuke Fujii OriginalPaper 23 August 2024
A cross-domain user association scheme based on graph attention networks with trajectory embedding Keqing CenZhenghao YangMinhong Dong OriginalPaper 21 August 2024
A class sensitivity feature guided T-type generative model for noisy label classification Yidi BaiHengjian Cui OriginalPaper 20 August 2024
Weighting non-IID batches for out-of-distribution detection Zhilin ZhaoLongbing Cao OriginalPaper Open access 19 August 2024
Learning an adaptive forwarding strategy for mobile wireless networks: resource usage vs. latency Victoria ManfrediAlicia P. WolfeBing Wang OriginalPaper 07 August 2024
Understanding prediction discrepancies in classification Xavier RenardThibault LaugelMarcin Detyniecki OriginalPaper 07 August 2024
A generic approach for reproducible model distillation Yunzhe ZhouPeiru XuGiles Hooker OriginalPaper Open access 05 August 2024
Describing group evolution in temporal data using multi-faceted events Andrea FaillaRémy CazabetSalvatore Citraro OriginalPaper Open access 01 August 2024
Autoreplicative random forests with applications to missing value imputation Ekaterina AntonenkoAnder CarreñoJesse Read OriginalPaper 01 August 2024
Neural calibration of hidden inhomogeneous Markov chains: information decompression in life insurance Mark KiermayerChristian Weiß OriginalPaper Open access 31 July 2024
Integration of multi-modal datasets to estimate human aging Rogério RibeiroAthos MoraesPedro G. Ferreira OriginalPaper Open access 29 July 2024
Jaccard-constrained dense subgraph discovery Chamalee Wickrama ArachchiNikolaj Tatti OriginalPaper Open access 23 July 2024 Pages: 7103 - 7125
Distribution-free conformal joint prediction regions for neural marked temporal point processes Victor DheurTanguy BosserSouhaib Ben Taieb OriginalPaper 23 July 2024 Pages: 7055 - 7102
Extrapolation is not the same as interpolation Yuxuan WangRoss D. King OriginalPaper Open access 23 July 2024
Towards efficient AutoML: a pipeline synthesis approach leveraging pre-trained transformers for multimodal data Ambarish MoharilJoaquin VanschorenDamian Tamburri OriginalPaper Open access 19 July 2024 Pages: 7011 - 7053
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned Jesse DavisLotte BransenMaaike Van Roy OriginalPaper Open access 17 July 2024 Pages: 6977 - 7010
Spatial entropy as an inductive bias for vision transformers Elia PeruzzoEnver SanginetoNicu Sebe OriginalPaper Open access 17 July 2024 Pages: 6945 - 6975
ICM ensemble with novel betting functions for concept drift Charalambos EliadesHarris Papadopoulos OriginalPaper Open access 17 July 2024 Pages: 6911 - 6944
Variable selection for both outcomes and predictors: sparse multivariate principal covariates regression Soogeun ParkEva CeulemansKatrijn Van Deun OriginalPaper Open access 17 July 2024
XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance Benedict ClarkRick WilmingStefan Haufe OriginalPaper Open access 16 July 2024 Pages: 6871 - 6910
Partitioned least squares Roberto EspositoMattia CerratoMarco Locatelli OriginalPaper Open access 15 July 2024 Pages: 6839 - 6869
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios Tuan T. NguyenHoang H. NguyenMarco Fisichella OriginalPaper Open access 15 July 2024 Pages: 6811 - 6837
Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning Sankhadeep ChatterjeeSaranya BhattacharjeeSoumen Banerjee OriginalPaper 15 July 2024
L2XGNN: learning to explain graph neural networks Giuseppe SerraMathias Niepert OriginalPaper Open access 12 July 2024 Pages: 6787 - 6809
Explainable dating of greek papyri images John PavlopoulosMaria KonstantinidouAristidis Likas OriginalPaper Open access 11 July 2024 Pages: 6765 - 6786
Compressed sensing: a discrete optimization approach Dimitris BertsimasNicholas A. G. Johnson OriginalPaper Open access 11 July 2024 Pages: 6725 - 6764
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems Dai Hai NguyenTetsuya Sakurai OriginalPaper 10 July 2024 Pages: 6697 - 6724
Regional bias in monolingual English language models Jiachen LyuKatharina DostJörg Wicker OriginalPaper Open access 09 July 2024 Pages: 6663 - 6696
Conformal predictions for probabilistically robust scalable machine learning classification Alberto CarlevaroTeodoro AlamoMaurizio Mongelli OriginalPaper Open access 09 July 2024 Pages: 6645 - 6661
Neural discovery of balance-aware polarized communities Francesco GulloDomenico MandaglioAndrea Tagarelli OriginalPaper Open access 09 July 2024 Pages: 6611 - 6644
Permutation-invariant linear classifiers Ludwig LausserRobin SzekelyHans A. Kestler OriginalPaper Open access 09 July 2024
Fast linear model trees by PILOT Jakob RaymaekersPeter J. RousseeuwRuicong Yao OriginalPaper Open access 08 July 2024 Pages: 6561 - 6610
