:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shahbazi, Shermin, Nasiri, Mohammad-Reza, Ramezani, Majid
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2504.21427
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing
by: Shahbazi, Shermin, et al.
Published: (2026)

On Continuity of Robust and Accurate Classifiers
by: Barati, Ramin, et al.
Published: (2023)

Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning
by: Cheraghi, Radin, et al.
Published: (2025)

Testing Individual Fairness in Graph Neural Networks
by: Nasiri, Roya
Published: (2025)

Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification
by: Khan, Mohammad Zubair, et al.
Published: (2024)

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition
by: Nasiri, Hamid, et al.
Published: (2025)

Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidance
by: Wang, Huibing, et al.
Published: (2024)

Provably Robust Pre-Trained Ensembles for Biomarker-Based Cancer Classification
by: Lee, Chongmin, et al.
Published: (2024)

EEG-Based Consumer Behaviour Prediction: An Exploration from Classical Machine Learning to Graph Neural Networks
by: Afshar, Mohammad Parsa, et al.
Published: (2025)

Cueless EEG imagined speech for subject identification: dataset and benchmarks
by: Derakhshesh, Ali, et al.
Published: (2025)

TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting
by: Margeloiu, Andrei, et al.
Published: (2024)

CEAR: Certified Ensemble Adversarial Robustness in DNNs
by: Sadig, Daniel, et al.
Published: (2026)

An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
by: Masud, Syed Rayhan, et al.
Published: (2026)

Demystifying the Optimal Fair Classifier in Multi-Class Classification
by: Zhang, Li, et al.
Published: (2026)

Generalization Performance of Ensemble Clustering: From Theory to Algorithm
by: Zhang, Xu, et al.
Published: (2025)

Generative Correlation Manifolds: Generating Synthetic Data with Preserved Higher-Order Correlations
by: d'Hondt, Jens E., et al.
Published: (2025)

Leveraging Generic Time Series Foundation Models for EEG Classification
by: Gnassounou, Théo, et al.
Published: (2025)

xEEGNet: Towards Explainable AI in EEG Dementia Classification
by: Zanola, Andrea, et al.
Published: (2025)

Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers
by: Kasneci, Gjergji, et al.
Published: (2024)

On the Interpretability of Part-Prototype Based Classifiers: A Human Centric Analysis
by: Davoodi, Omid, et al.
Published: (2023)

Manifold Approximation leads to Robust Kernel Alignment
by: Islam, Mohammad Tariqul, et al.
Published: (2025)

Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets
by: Dixen, Laurits, et al.
Published: (2026)

EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations
by: Song, Zhenxi, et al.
Published: (2024)

Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Training
by: Ramezani, Mahya, et al.
Published: (2026)

Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
by: Sturman, Olivia, et al.
Published: (2024)

Fairness-Enhancing Ensemble Classification in Water Distribution Networks
by: Strotherm, Janine, et al.
Published: (2024)

Ensemble Methods for Sequence Classification with Hidden Markov Models
by: Kawawa-Beaudan, Maxime, et al.
Published: (2024)

IPBC: An Interactive Projection-Based Framework for Human-in-the-Loop Semi-Supervised Clustering of High-Dimensional Data
by: Zare, Mohammad
Published: (2026)

Hierarchical Conformal Classification
by: Hengst, Floris den, et al.
Published: (2025)

EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification Method
by: Peng, Wei, et al.
Published: (2024)

A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning
by: Fakour, Fahimeh, et al.
Published: (2024)

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
by: Chung, Hyungjin, et al.
Published: (2024)

Addressing Label Shift in Distributed Learning via Entropy Regularization
by: Wu, Zhiyuan, et al.
Published: (2025)

IEFS-GMB: Gradient Memory Bank-Guided Feature Selection Based on Information Entropy for EEG Classification of Neurological Disorders
by: Zhang, Liang, et al.
Published: (2025)

Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering
by: Zhang, Xu, et al.
Published: (2024)

Improvement of AMPs Identification with Generative Adversarial Network and Ensemble Classification
by: Keshavarzpour, Reyhaneh, et al.
Published: (2025)

ASDFormer: A Transformer with Mixtures of Pooling-Classifier Experts for Robust Autism Diagnosis and Biomarker Discovery
by: Izadi, Mohammad, et al.
Published: (2025)

EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
by: Aung, Htoo Wai, et al.
Published: (2024)

Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning
by: Darvishi-Bayazi, Mohammad-Javad, et al.
Published: (2023)

How Ensemble Learning Balances Accuracy and Overfitting: A Bias-Variance Perspective on Tabular Data
by: Mohammad, Zubair Ahmed
Published: (2025)