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Journal Details
Machine Learning
IF
2.9
Papers
2668
Citations
34031
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Journal Papers
2667
Related Insights
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Journal Papers
2667
Publication Date
Publication Date
IF
Citations
SentiMatrix: Parameter-Efficient Fine-Tuning of Encoder-Based Transformers for Multidimensional Sentiment Analysis
Machine Learning
IF
2.9
2026-09-24
0
OA
AI
Md. Easin Arafat; Muhammad Usman Akmal; Ali S. Abosinnee; Tamás Orosz
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Explainable Federated Learning for Trustworthy Thoracic Disease Detection Under Non-IID Data Distributions
Machine Learning
IF
2.9
2026-09-24
0
PRE
AI
Suresh Arumugam; A. Sindhu; M. N. Saroja; S. Kannan; A. Esakkiammal
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Cortex: A Retrieval-Augmented Framework for Career-Aligned Learning Paths
Machine Learning
IF
2.9
2026-09-22
0
PRE
AI
Vatsala Ramachandran; Manasvi Vedanta; Sonia Khetarpaul
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Sequential Estimation of Remaining Useful Life Through VAE-Based Deep Reinforcement Learning With Reward Shaping
Machine Learning
IF
2.9
2026-09-22
0
PRE
AI
Hima Soni; Vibha Patel; Arnav Modanwal; Hepil Italiya; Aastha Patel
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Incremental Graph Construction Enables Robust Spectral Clustering of Texts
Machine Learning
IF
2.9
2026-09-18
0
OA
AI
Marko Pranjić; Boshko Koloski; Nada Lavrač; Senja Pollak; Marko Robnik-Šikonja
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On the Minimization of Graph Counterfactual Explanations: Theory and a Local Bounded Search Algorithm
Machine Learning
IF
2.9
2026-09-18
0
OA
AI
Rodrigo García; Mario Alfonso Prado-Romero; Francesco Gullo; Giovanni Stilo
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Similarity-Promoting Resilient Adaptive Aggregation in Peer-to-Peer Machine Learning
Machine Learning
IF
2.9
2026-09-16
0
PRE
AI
Chandreyee Bhowmick; Xenofon Koutsoukos
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Stay Rational, Resist Illusions: De-biasing Source-Free Domain Adaptation with CLIP-Verified Pseudo-Source Domain
Machine Learning
IF
2.9
2026-09-16
0
PRE
AI
Qing Tian; Yongjiang Liu; Keyang Cheng; Weihua Ou; Jianping Gou
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What is Attention Mechanism? A Comprehensive Survey of Attention Methods and Transformer Models
Machine Learning
IF
2.9
2026-09-15
0
PRE
AI
Farhad Mortezapour Shiri; Fateme Memar; Maryam Parhizgar
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The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning
Machine Learning
IF
2.9
2026-09-15
0
OA
AI
Giovanni Donghi; Daniele Zambon; Luca Pasa; Cesare Alippi; Nicolò Navarin
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A Hypernetwork Framework for Data-Free Unlearning and Continual Learning
Machine Learning
IF
2.9
2026-09-15
0
PRE
AI
Sayanta Adhikari; Vishnuprasadh Kumaravelu; P. K. Srijith
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ReliFuse: Reliability-Calibrated Posterior Fusion for Histological Vessel Segmentation
Machine Learning
IF
2.9
2026-09-10
0
PRE
AI
Truong P. Le; Truong N. Nguyen; Vinh Le H. Tran; Tram T. Doan; Binh T. Nguyen; Son T. Huynh
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Distribution-Free Deviation Bounds and the Role of Domain Knowledge in Learning via Model Selection with Cross-Validation Risk Estimation
Machine Learning
IF
2.9
2026-09-07
0
OA
AI
Diego Marcondes; Claudia Peixoto
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SWIFT-KD: Sliding Window Intelligent Federated Transformer Learning with Knowledge Distillation for Building Energy Prediction
Machine Learning
IF
2.9
2026-09-07
0
PRE
AI
Jessica Al Achy; Hassan Harb; Abdallah Makhoul
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Equation Discovery for Classification: Finding Interpretable Symbolic Specifications of the Decision Boundary
Machine Learning
IF
2.9
2026-09-05
0
OA
AI
Guus Toussaint; Arno Knobbe
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Graph Spectral Client Scheduling for Reliable Federated Learning in Safety-Critical LEO Satellite Networks
Machine Learning
IF
2.9
2026-09-05
0
PRE
AI
Bilal Ahmad
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P $$^{2}$$ CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations
Machine Learning
IF
2.9
2026-09-03
0
OA
AI
Arthur Hendricks Mendes de Oliveira; Giovani Valdrighi; Marcos Medeiros Raimundo
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Learning Without Forgetting for Continual Learning in LLMs Through Adaptive LoRA Ranks
Machine Learning
IF
2.9
2026-09-02
0
PRE
AI
Fuli Qiao; Mehrdad Mahdavi
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Robust Multi-label Classification via Preference Learning
Machine Learning
IF
2.9
2026-09-01
0
PRE
AI
Vu-Linh Nguyen; Xuan-Truong Hoang; Sébastien Destercke; Cassio de Campos; Van-Nam Huynh
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Generative Distribution Prediction: A Unified Approach to Multimodal Learning
Machine Learning
IF
2.9
2026-08-31
0
OA
AI
Xinyu Tian; Xiaotong Shen
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