:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Kibria, Md Raisul, Lafond, Sébastien, Arslan, Janan
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2508.04427
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Reveal-to-Revise: Explainable Bias-Aware Generative Modeling with Multimodal Attention
por: Mohammad, Noor Islam S., et al.
Publicado: (2025)

Rethinking Explainability in the Era of Multimodal AI
por: Agarwal, Chirag
Publicado: (2025)

Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather
por: Wang, Zhan, et al.
Publicado: (2025)

A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
por: Guarrasi, Valerio, et al.
Publicado: (2024)

STEP-PD: Stage-Aware and Explainable Parkinson's Disease Severity Classification Using Multimodal Clinical Assessments
por: Islam, Md Mezbahul, et al.
Publicado: (2026)

On Speculative Decoding for Multimodal Large Language Models
por: Gagrani, Mukul, et al.
Publicado: (2024)

CrisisKAN: Knowledge-infused and Explainable Multimodal Attention Network for Crisis Event Classification
por: Gupta, Shubham, et al.
Publicado: (2024)

How Different Tokenization Algorithms Impact LLMs and Transformer Models for Binary Code Analysis
por: Mostafa, Ahmed, et al.
Publicado: (2025)

Robust Multimodal Safety via Conditional Decoding
por: Kumar, Anurag, et al.
Publicado: (2026)

Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
por: Najjar, Hiba, et al.
Publicado: (2025)

MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor
por: Goffinet, Etienne, et al.
Publicado: (2023)

Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis
por: Luo, Miaosen, et al.
Publicado: (2025)

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
por: Chiang, Sophie, et al.
Publicado: (2026)

Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI
por: Dembinsky, David, et al.
Publicado: (2025)

Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
por: Mai, Anh-Tuan, et al.
Publicado: (2026)

Multimodal Explainability via Latent Shift applied to COVID-19 stratification
por: Guarrasi, Valerio, et al.
Publicado: (2022)

Multimodal Foundation Models for Early Disease Detection
por: Mohsin, Md Talha, et al.
Publicado: (2025)

FusionEnsemble-Net: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition
por: Islam, Md. Milon, et al.
Publicado: (2025)

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models
por: Jia, Yifan, et al.
Publicado: (2025)

Self-Attention Mechanism in Multimodal Context for Banking Transaction Flow
por: Delestre, Cyrile, et al.
Publicado: (2024)

SinkRouter: Sink-Aware Routing for Efficient Long-Context Decoding in Large Language and Multimodal Models
por: Liu, Junnan, et al.
Publicado: (2026)

Transformers Use Causal World Models in Maze-Solving Tasks
por: Spies, Alex F., et al.
Publicado: (2024)

Multimodal Federated Learning in Healthcare: a Review
por: Thrasher, Jacob, et al.
Publicado: (2023)

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
por: Sun, Shilin, et al.
Publicado: (2024)

Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review
por: Mehdiyev, Nijat, et al.
Publicado: (2023)

MOGAM: A Multimodal Object-oriented Graph Attention Model for Depression Detection
por: Cha, Junyeop, et al.
Publicado: (2024)

An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
por: Uddin, Mohammad Amaz, et al.
Publicado: (2024)

MusicLIME: Explainable Multimodal Music Understanding
por: Sotirou, Theodoros, et al.
Publicado: (2024)

Causal Decoding for Hallucination-Resistant Multimodal Large Language Models
por: Tan, Shiwei, et al.
Publicado: (2026)

What Makes a Maze Look Like a Maze?
por: Hsu, Joy, et al.
Publicado: (2024)

A Concept-Based Explainability Framework for Large Multimodal Models
por: Parekh, Jayneel, et al.
Publicado: (2024)

Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
por: Ali, Md Shahin, et al.
Publicado: (2024)

MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
por: Jahin, Md Abrar, et al.
Publicado: (2024)

Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis
por: Sourov, Md. Emon Akter, et al.
Publicado: (2025)

Modality Collapse as Mismatched Decoding: Information-Theoretic Limits of Multimodal LLMs
por: Billa, Jayadev
Publicado: (2026)

A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare
por: Donoso-Guzmán, Ivania, et al.
Publicado: (2025)

BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning
por: Zhao, Haiteng, et al.
Publicado: (2025)

AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models
por: Tang, Zhiqiang, et al.
Publicado: (2024)

Cross-Temporal Attention Fusion (CTAF) for Multimodal Physiological Signals in Self-Supervised Learning
por: Khorasani, Arian, et al.
Publicado: (2026)

A transformer-based deep reinforcement learning approach to spatial navigation in a partially observable Morris Water Maze
por: Eggen, Marte, et al.
Publicado: (2024)