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Publication search results
found 2,339 matches
- 2024
- Ashwin Srinivasan, A. Baskar, Tirtharaj Dash, Devanshu Shah:
Composition of relational features with an application to explaining black-box predictors. Mach. Learn. 113(3): 1091-1132 (2024) - 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. Mach. Learn. 113(3): 1509 (2024) - 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. Mach. Learn. 113(4): 2249-2275 (2024) - Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano:
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework. Mach. Learn. 113(7): 4165-4243 (2024) - 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. Mach. Learn. 113(5): 3049-3071 (2024) - Kaito Ariu, Jungseul Ok, Alexandre Proutière, Seyoung Yun:
Optimal clustering from noisy binary feedback. Mach. Learn. 113(5): 2733-2764 (2024) - Valentina Arrigoni, Luisa Repele, Dario Marino Saccavino:
Textmatcher: cross-attentional neural network to compare image and text. Mach. Learn. 113(4): 2045-2066 (2024) - Anna Arutyunova, Anna Großwendt, Heiko Röglin, Melanie Schmidt, Julian Wargalla:
Upper and lower bounds for complete linkage in general metric spaces. Mach. Learn. 113(1): 489-518 (2024) - 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. Mach. Learn. 113(4): 2277-2300 (2024) - Beatriz Flamia Azevedo, Ana Maria A. C. Rocha, Ana I. Pereira:
Hybrid approaches to optimization and machine learning methods: a systematic literature review. Mach. Learn. 113(7): 4055-4097 (2024) - Abolhassan Banisheikholeslami, Farhad Qaderi:
Applied machine learning to the determination of biochar hydrogen sulfide adsorption capacity. Mach. Learn. 113(6): 3419-3441 (2024) - Yogesh Bansal, David Lillis, M. Tahar Kechadi:
Correction to: A neural meta-model for predicting winter wheat crop yield. Mach. Learn. 113(5): 3353 (2024) - Yogesh Bansal, David Lillis, M. Tahar Kechadi:
A neural meta model for predicting winter wheat crop yield. Mach. Learn. 113(6): 3771-3788 (2024) - António Pereira Barata, Frank W. Takes, H. Jaap van den Herik, Cor J. Veenman:
Fair tree classifier using strong demographic parity. Mach. Learn. 113(5): 3305-3324 (2024) - Elena Battaglia, Federico Peiretti, Ruggero G. Pensa:
Fast parameterless prototype-based co-clustering. Mach. Learn. 113(4): 2153-2181 (2024) - Denis Béchet, Annie Foret:
Incremental learning of iterated dependencies. Mach. Learn. 113(5): 2841-2875 (2024) - Alex Beeson, Giovanni Montana:
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning. Mach. Learn. 113(1): 443-488 (2024) - Yanzhe Bekkemoen:
Explainable reinforcement learning (XRL): a systematic literature review and taxonomy. Mach. Learn. 113(1): 355-441 (2024) - Clément Benesse, Fabrice Gamboa, Jean-Michel Loubes, Thibaut Boissin:
Fairness seen as global sensitivity analysis. Mach. Learn. 113(5): 3205-3232 (2024) - Alberto Berenguer, Jose-Norberto Mazón, David Tomás:
Word embeddings for retrieving tabular data from research publications. Mach. Learn. 113(4): 2227-2248 (2024) - Dimitris Bertsimas, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov:
Holistic deep learning. Mach. Learn. 113(1): 159-183 (2024) - Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden, Benoît Frénay:
Composite score for anomaly detection in imbalanced real-world industrial dataset. Mach. Learn. 113(7): 4381-4406 (2024) - Andreas C. Bueff, Vaishak Belle:
Learning explanatory logical rules in non-linear domains: a neuro-symbolic approach. Mach. Learn. 113(7): 4579-4614 (2024) - Fedor Buzaev, Jiexing Gao, Ivan Chuprov, Evgeniy Kazakov:
Hybrid acceleration techniques for the physics-informed neural networks: a comparative analysis. Mach. Learn. 113(6): 3675-3692 (2024) - Davide Cacciarelli, Murat Kulahci:
Active learning for data streams: a survey. Mach. Learn. 113(1): 185-239 (2024) - Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization. Mach. Learn. 113(5): 2701-2731 (2024) - Vítor Cerqueira, Nuno Moniz, Carlos Soares:
VEST: automatic feature engineering for forecasting. Mach. Learn. 113(7): 4523-4545 (2024) - Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Cost-sensitive sparse group online learning for imbalanced data streams. Mach. Learn. 113(7): 4407-4444 (2024) - Tonglin Chen, Zhimeng Shen, Bin Li, Xiangyang Xue:
Compositional scene modeling with global object-centric representations. Mach. Learn. 113(6): 3505-3524 (2024) - Zhen Chen, Fu Wang, Ronghui Mu, Peipei Xu, Xiaowei Huang, Wenjie Ruan:
Nrat: towards adversarial training with inherent label noise. Mach. Learn. 113(6): 3589-3610 (2024)
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