Saved in:
| Main Authors: | Hassine, Motaz Ben, Jabbour, Saïd |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.12460 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Community Quality and Influence Maximization: An Empirical Study
by: Hassine, Motaz Ben
Published: (2025)
by: Hassine, Motaz Ben
Published: (2025)
Towards Explainable Clustering: A Constrained Declarative based Approach
by: Guilbert, Mathieu, et al.
Published: (2024)
by: Guilbert, Mathieu, et al.
Published: (2024)
Explainable Knowledge Tracing via Probabilistic Embeddings and Pattern-based Reasoning
by: Wu, Siyu, et al.
Published: (2026)
by: Wu, Siyu, et al.
Published: (2026)
Taklif.AI: LLM-Powered Platform for Interest-Based Personalized College Assignments
by: Kurdya, Zaki, et al.
Published: (2026)
by: Kurdya, Zaki, et al.
Published: (2026)
Machine Learning and Constraint Programming for Efficient Healthcare Scheduling
by: Said, Aymen Ben, et al.
Published: (2024)
by: Said, Aymen Ben, et al.
Published: (2024)
Reasoning-guided Collaborative Filtering with Language Models for Explainable Recommendation
by: Anwaar, Fahad, et al.
Published: (2026)
by: Anwaar, Fahad, et al.
Published: (2026)
Neural Network-based Two-Dimensional Filtering for OTFS Symbol Detection
by: Xu, Jiarui, et al.
Published: (2024)
by: Xu, Jiarui, et al.
Published: (2024)
Generative AI Agents in Autonomous Machines: A Safety Perspective
by: Jabbour, Jason, et al.
Published: (2024)
by: Jabbour, Jason, et al.
Published: (2024)
Rough Sets for Explainability of Spectral Graph Clustering
by: Starosta, Bartłomiej, et al.
Published: (2025)
by: Starosta, Bartłomiej, et al.
Published: (2025)
Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets
by: Yang, Yuchen, et al.
Published: (2026)
by: Yang, Yuchen, et al.
Published: (2026)
An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement Learning
by: Soulé, Julien, et al.
Published: (2025)
by: Soulé, Julien, et al.
Published: (2025)
An Approach To Enhance IoT Security In 6G Networks Through Explainable AI
by: Kaur, Navneet, et al.
Published: (2024)
by: Kaur, Navneet, et al.
Published: (2024)
Efficient Dynamic Clustering: Capturing Patterns from Historical Cluster Evolution
by: Gu, Binbin, et al.
Published: (2022)
by: Gu, Binbin, et al.
Published: (2022)
Explainable Distributed Constraint Optimization Problems
by: Rachmut, Ben, et al.
Published: (2025)
by: Rachmut, Ben, et al.
Published: (2025)
A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering
by: Dhar, Nobel, et al.
Published: (2025)
by: Dhar, Nobel, et al.
Published: (2025)
Lightweight Trustworthy Distributed Clustering
by: Li, Hongyang, et al.
Published: (2025)
by: Li, Hongyang, et al.
Published: (2025)
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering
by: Chagahi, Mehdi Hosseini, et al.
Published: (2024)
by: Chagahi, Mehdi Hosseini, et al.
Published: (2024)
A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew
by: Ali, Michael Ben, et al.
Published: (2025)
by: Ali, Michael Ben, et al.
Published: (2025)
llmSHAP: A Principled Approach to LLM Explainability
by: Naudot, Filip, et al.
Published: (2025)
by: Naudot, Filip, et al.
Published: (2025)
Explainable Rule Application via Structured Prompting: A Neural-Symbolic Approach
by: Sadowski, Albert, et al.
Published: (2025)
by: Sadowski, Albert, et al.
Published: (2025)
Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI
by: Sulle, Methusela, et al.
Published: (2025)
by: Sulle, Methusela, et al.
Published: (2025)
Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AI
by: Nalela, Polycarp, et al.
Published: (2025)
by: Nalela, Polycarp, et al.
Published: (2025)
Refining Filter Global Feature Weighting for Fully-Unsupervised Clustering
by: Galis, Fabian, et al.
Published: (2025)
by: Galis, Fabian, et al.
Published: (2025)
ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
by: Nkhata, Gibson, et al.
Published: (2026)
by: Nkhata, Gibson, et al.
Published: (2026)
Explainable Graph Spectral Clustering For GloVe-like Text Embeddings
by: Kłopotek, Mieczysław A., et al.
Published: (2025)
by: Kłopotek, Mieczysław A., et al.
Published: (2025)
Causal Discovery for Explainable AI: A Dual-Encoding Approach
by: Salgado, Henry, et al.
Published: (2026)
by: Salgado, Henry, et al.
Published: (2026)
Towards integration of Privacy Enhancing Technologies in Explainable Artificial Intelligence
by: Allana, Sonal, et al.
Published: (2025)
by: Allana, Sonal, et al.
Published: (2025)
Enhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models
by: Olumuyiwa, Badaru I., et al.
Published: (2024)
by: Olumuyiwa, Badaru I., et al.
Published: (2024)
A Unified Framework for Evaluating and Enhancing the Transparency of Explainable AI Methods via Perturbation-Gradient Consensus Attribution
by: Islam, Md. Ariful, et al.
Published: (2024)
by: Islam, Md. Ariful, et al.
Published: (2024)
Cluster Aggregated GAN (CAG): A Cluster-Based Hybrid Model for Appliance Pattern Generation
by: Guo, Zikun, et al.
Published: (2025)
by: Guo, Zikun, et al.
Published: (2025)
Can Multitask Learning Enhance Model Explainability?
by: Najjar, Hiba, et al.
Published: (2025)
by: Najjar, Hiba, et al.
Published: (2025)
CRAFT: Clustered Regression for Adaptive Filtering of Training data
by: Panda, Parthasarathi, et al.
Published: (2026)
by: Panda, Parthasarathi, et al.
Published: (2026)
Unrolling Dynamic Programming via Graph Filters
by: Rozada, Sergio, et al.
Published: (2025)
by: Rozada, Sergio, et al.
Published: (2025)
Enhancing DPSGD via Per-Sample Momentum and Low-Pass Filtering
by: Xu, Xincheng, et al.
Published: (2025)
by: Xu, Xincheng, et al.
Published: (2025)
Toward Adaptive BCIs: Enhancing Decoding Stability via User State-Aware EEG Filtering
by: Choi, Yeon-Woo, et al.
Published: (2025)
by: Choi, Yeon-Woo, et al.
Published: (2025)
EU-Nets: Enhanced, Explainable and Parsimonious U-Nets
by: Sun, B., et al.
Published: (2025)
by: Sun, B., et al.
Published: (2025)
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling
by: Dong, Zehao, et al.
Published: (2024)
by: Dong, Zehao, et al.
Published: (2024)
The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation
by: Ilyankou, Ilya, et al.
Published: (2026)
by: Ilyankou, Ilya, et al.
Published: (2026)
Empirical Characterization of Rationale Stability Under Controlled Perturbations for Explainable Pattern Recognition
by: Sakib, Abu Noman Md, et al.
Published: (2026)
by: Sakib, Abu Noman Md, et al.
Published: (2026)
Exploring Nutritional Impact on Alzheimer's Mortality: An Explainable AI Approach
by: Liu, Ziming, et al.
Published: (2024)
by: Liu, Ziming, et al.
Published: (2024)
Similar Items
-
Community Quality and Influence Maximization: An Empirical Study
by: Hassine, Motaz Ben
Published: (2025) -
Towards Explainable Clustering: A Constrained Declarative based Approach
by: Guilbert, Mathieu, et al.
Published: (2024) -
Explainable Knowledge Tracing via Probabilistic Embeddings and Pattern-based Reasoning
by: Wu, Siyu, et al.
Published: (2026) -
Taklif.AI: LLM-Powered Platform for Interest-Based Personalized College Assignments
by: Kurdya, Zaki, et al.
Published: (2026) -
Machine Learning and Constraint Programming for Efficient Healthcare Scheduling
by: Said, Aymen Ben, et al.
Published: (2024)