New algorithms for trace-ratio problem with application to high-dimension and large-sample data dimensionality reduction Wenya ShiGang Wu OriginalPaper 02 March 2021 Pages: 3889 - 3916
Special issue on feature engineering editorial Tim VerdonckBart BaesensSeppe vanden Broucke EditorialNotes 06 August 2021 Pages: 3917 - 3928
Generalization bounds for learning under graph-dependence: a survey Rui-Ray ZhangMassih-Reza Amini OriginalPaper 03 April 2024 Pages: 3929 - 3959
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling Susobhan GhoshRaphael KimSusan Murphy OriginalPaper 10 April 2024 Pages: 3961 - 3997
TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning Keheng WangChuantao YinZhang Xiong OriginalPaper 18 March 2024 Pages: 3999 - 4012
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
DynamiSE: dynamic signed network embedding for link prediction Haiting SunPeng TianHaofen Wang OriginalPaper 23 January 2024 Pages: 4037 - 4053
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
DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network Songwen PeiJiyao WangMingsong Chen OriginalPaper 31 January 2024 Pages: 4099 - 4112
Understanding transfer learning and gradient-based meta-learning techniques Mike HuismanAske PlaatJan N. van Rijn OriginalPaper Open access 12 December 2023 Pages: 4113 - 4132
An encoding approach for stable change point detection Xiaodong WangFushing Hsieh OriginalPaper Open access 28 February 2024 Pages: 4133 - 4163
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework Gabriel AguiarBartosz KrawczykAlberto Cano OriginalPaper 29 June 2023 Pages: 4165 - 4243
Can metafeatures help improve explanations of prediction models when using behavioral and textual data? Yanou RamonDavid MartensStiene Praet OriginalPaper 08 June 2021 Pages: 4245 - 4284
Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling? Hanh Thi Hong TranMatej MartincSenja Pollak OriginalPaper Open access 27 March 2024 Pages: 4285 - 4314
Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning Kejie TangWeidong LiuXiaojun Mao OriginalPaper 08 April 2024 Pages: 4315 - 4357
Persian offensive language detection Emad KebriaeiAli HomayouniYadollah Yaghoobzadeh OriginalPaper 23 August 2023 Pages: 4359 - 4379
Composite score for anomaly detection in imbalanced real-world industrial dataset Arnaud BougahamMohammed El AdouiBenoît Frénay OriginalPaper 20 November 2023 Pages: 4381 - 4406
Cost-sensitive sparse group online learning for imbalanced data streams Zhong ChenVictor ShengKun Zhang OriginalPaper 20 November 2023 Pages: 4407 - 4444
Distributed and explainable GHSOM for anomaly detection in sensor networks Paolo MignoneRoberto CorizzoMichelangelo Ceci OriginalPaper Open access 22 January 2024 Pages: 4445 - 4486
Classification with costly features in hierarchical deep sets Jaromír JanischTomáš PevnýViliam Lisý OriginalPaper Open access 22 May 2024 Pages: 4487 - 4522
VEST: automatic feature engineering for forecasting Vitor CerqueiraNuno MonizCarlos Soares OriginalPaper 06 April 2021 Pages: 4523 - 4545
Hellinger distance decision trees for PU learning in imbalanced data sets Carlos Ortega VázquezSeppe vanden BrouckeJochen De Weerdt OriginalPaper 28 March 2023 Pages: 4547 - 4578
Learning explanatory logical rules in non-linear domains: a neuro-symbolic approach Andreas BueffVaishak Belle OriginalPaper Open access 08 April 2024 Pages: 4579 - 4614
Exposing and explaining fake news on-the-fly Francisco de Arriba-PérezSilvia García-MéndezJuan Carlos Burguillo OriginalPaper Open access 10 April 2024 Pages: 4615 - 4637
Glacier: guided locally constrained counterfactual explanations for time series classification Zhendong WangIsak SamstenPanagiotis Papapetrou OriginalPaper Open access 13 March 2024 Pages: 4639 - 4669
Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams Chun Wai ChiuLeandro L. Minku OriginalPaper Open access 18 December 2023 Pages: 4671 - 4721
Coefficient tree regression: fast, accurate and interpretable predictive modeling Özge SürerDaniel W. ApleyEdward C. Malthouse OriginalPaper 12 November 2021 Pages: 4723 - 4759
Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data Ekaterina LoginovaWai Kit TsangDries F. Benoit OriginalPaper 18 November 2021 Pages: 4761 - 4784
Understanding CNN fragility when learning with imbalanced data Damien DablainKristen N. JacobsonNitesh V. Chawla OriginalPaper Open access 11 April 2023 Pages: 4785 - 4810
Utilizing reinforcement learning for de novo drug design Hampus Gummesson SvenssonChristian TyrchanMorteza Haghir Chehreghani OriginalPaper Open access 08 April 2024 Pages: 4811 - 4843
The class imbalance problem in deep learning Kushankur GhoshColin BellingerNathalie Japkowicz OriginalPaper 28 December 2022 Pages: 4845 - 4901
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning Dina ElreedyAmir F. AtiyaFiruz Kamalov OriginalPaper Open access 05 January 2023 Pages: 4903 - 4923
Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks Katarzyna WoźnicaMateusz GrzybPrzemysław Biecek OriginalPaper Open access 07 August 2023 Pages: 4925 - 4949
Correction: Learning sample-aware threshold for semi-supervised learning Qi WeiLeiLei FengYilong Yin Correction 16 May 2024 Pages: 4951 - 4951