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ORCIDMachine Learning, Volume 115
Volume 115, Number 1, January 2026
- Jingsheng Gao, Mengnan Qi, Xian Gao, Suncheng Xiang, Ke Ji, Jiacheng Ruan, Ting Liu, Yuzhuo Fu:
DiverSeed: Integrating Active Learning for Target Domain Data Generation in Instruction Tuning. 1 - Zaryab Rahman, Fakhrud Din, Shah Khalid, Rishi Karthikeyan:
The FFN as a Key-Value Memory: Functional Specialization in Transformer Computation. 2 - Juan Valentín Guerrero Cano, Gabriel Jonas Aguiar, Alberto Cano:
Anticipating to Change: A Proactive Approach for Concept Drift Adaptation in Data Streams. 3 - Sara Repetto, Igor Maljkovic, Michele Lotto, Antonio Emanuele Cinà, Sebastiano Vascon, Fabio Roli:
Evaluating the robustness of explainable AI in medical image recognition under natural and adversarial data corruption. 4 - Zedong Sun, Jian Li, Guanjun Liu:
Enhancing Low-Degree Graph Neural Networks via Joint Training and Improved Message Passing. 5 - Pegah Rahimian
, Jesse Davis, László Toka:
Temporal Graph Network Framework for Quantifying Pass Reception Probabilities Against Defensive Structures. 6 - Keqin Liu, Tianshuo Zheng, Zhi-Hua Zhou:
Extended UCB Policies for Multi-armed Bandit Problems. 7 - Ruidong Li, Hua Huo:
DISTFormer: Enhance 3D Human Pose Estimation via Dual Inverse-Order Spatial-Temporal Transformer. 8 - Pablo Torrijos, José A. Gámez, José M. Puerta:
FedGES: A Federated Learning Approach for Bayesian Network Structure Learning. 9 - Mengyu Wang, Fukang Li, Hanyu Li:
Low-Rank Fully-Connected Tensor Network Learning for Tensor-on-Tensor Regression. 10 - Hao Ma, Melanie Nicole Zeilinger, Michael Muehlebach:
Stochastic Online Optimization for Cyber-Physical and Robotic Systems. 11 - Mohamed Karim Belaid, Maximilian Rabus, Eyke Hüllermeier:
Uncertainty Quantification in Pairwise Difference Learning for Classification. 12 - Lizette Tello-Cifuentes, Johannio Marulanda, Peter Thomson:
Correction to: Segmentation and feature extraction-based classification of pavement damages using hybrid computer vision and machine learning approaches. 13 - Ki Joung Jang, Ganguk Hwang:
VE-cGAN: Improved Generalization Analysis of Conditional Generative Adversarial Networks Using Vicinal Estimation. 14
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