Saved in:
| Main Authors: | Belacel, Nabil, Boulassel, Mohamed Rachid |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.11283 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams
by: Richard, Rene, et al.
Published: (2023)
by: Richard, Rene, et al.
Published: (2023)
Transformer-based Time-Series Biomarker Discovery for COPD Diagnosis
by: Gadgil, Soham, et al.
Published: (2024)
by: Gadgil, Soham, et al.
Published: (2024)
Machine Learning Driven Biomarker Selection for Medical Diagnosis
by: Bavikadi, Divyagna, et al.
Published: (2024)
by: Bavikadi, Divyagna, et al.
Published: (2024)
D-GATNet: Interpretable Temporal Graph Attention Learning for ADHD Identification Using Dynamic Functional Connectivity
by: Ain, Qurat Ul, et al.
Published: (2026)
by: Ain, Qurat Ul, et al.
Published: (2026)
Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease
by: Khalid, Maryam, et al.
Published: (2024)
by: Khalid, Maryam, et al.
Published: (2024)
Enhancing Psychologists' Understanding through Explainable Deep Learning Framework for ADHD Diagnosis
by: Rehman, Abdul, et al.
Published: (2026)
by: Rehman, Abdul, et al.
Published: (2026)
SAGE: Agentic Framework for Interpretable and Clinically Translatable Computational Pathology Biomarker Discovery
by: Nasser, Sahar Almahfouz, et al.
Published: (2026)
by: Nasser, Sahar Almahfouz, et al.
Published: (2026)
ASDFormer: A Transformer with Mixtures of Pooling-Classifier Experts for Robust Autism Diagnosis and Biomarker Discovery
by: Izadi, Mohammad, et al.
Published: (2025)
by: Izadi, Mohammad, et al.
Published: (2025)
FIRMA: FIbonacci Ring Model Aggregation for Privacy-preserving Federated Learning
by: Hedjam, Rachid
Published: (2026)
by: Hedjam, Rachid
Published: (2026)
Comparison of Machine Learning Classification Algorithms and Application to the Framingham Heart Study
by: Kahouadji, Nabil
Published: (2024)
by: Kahouadji, Nabil
Published: (2024)
A Comparative Study on Machine Learning Models to Classify Diseases Based on Patient Behaviour and Habits
by: Musaaed, Elham, et al.
Published: (2024)
by: Musaaed, Elham, et al.
Published: (2024)
Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability
by: Balaji, Sai, et al.
Published: (2024)
by: Balaji, Sai, et al.
Published: (2024)
A Machine Learning Pipeline for Multiple Sclerosis Biomarker Discovery: Comparing explainable AI and Traditional Statistical Approaches
by: Punzo, Samuele, et al.
Published: (2025)
by: Punzo, Samuele, et al.
Published: (2025)
Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review
by: Habchi, Yassine, et al.
Published: (2024)
by: Habchi, Yassine, et al.
Published: (2024)
Unsupervised Machine Learning for Osteoporosis Diagnosis Using Singh Index Clustering on Hip Radiographs
by: Kalavakonda, Vijaya, et al.
Published: (2024)
by: Kalavakonda, Vijaya, et al.
Published: (2024)
Balancing Privacy, Robustness, and Efficiency in Machine Learning
by: Allouah, Youssef, et al.
Published: (2023)
by: Allouah, Youssef, et al.
Published: (2023)
Analytical Discovery of Manifold with Machine Learning
by: Shen, Yafei, et al.
Published: (2025)
by: Shen, Yafei, et al.
Published: (2025)
Computational Design of Low-Volatility Lubricants for Space Using Interpretable Machine Learning
by: Miliate, Daniel, et al.
Published: (2025)
by: Miliate, Daniel, et al.
Published: (2025)
Discovery of Spatter Constitutive Models in Additive Manufacturing Using Machine Learning
by: Ajenifujah, Olabode T., et al.
Published: (2025)
by: Ajenifujah, Olabode T., et al.
Published: (2025)
An Interpretable Ensemble Framework for Multi-Omics Dementia Biomarker Discovery Under HDLSS Conditions
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance
by: Krùpovà, Markéta, et al.
Published: (2025)
by: Krùpovà, Markéta, et al.
Published: (2025)
Quantum AI for Cancer Diagnostic Biomarker Discovery
by: Saggi, Mandeep Kaur, et al.
Published: (2026)
by: Saggi, Mandeep Kaur, et al.
Published: (2026)
Distributional Machine Unlearning via Selective Data Removal
by: Allouah, Youssef, et al.
Published: (2025)
by: Allouah, Youssef, et al.
Published: (2025)
Machine Learning Classification of Alzheimer's Disease Stages Using Cerebrospinal Fluid Biomarkers Alone
by: Tiwari, Vivek Kumar, et al.
Published: (2024)
by: Tiwari, Vivek Kumar, et al.
Published: (2024)
Dual Interpretation of Machine Learning Forecasts
by: Coulombe, Philippe Goulet, et al.
Published: (2024)
by: Coulombe, Philippe Goulet, et al.
Published: (2024)
Interpretable Machine Learning for Survival Analysis
by: Langbein, Sophie Hanna, et al.
Published: (2024)
by: Langbein, Sophie Hanna, et al.
Published: (2024)
Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers
by: Cheng, Cheng, et al.
Published: (2025)
by: Cheng, Cheng, et al.
Published: (2025)
Probabilistic Scoring Lists for Interpretable Machine Learning
by: Hanselle, Jonas, et al.
Published: (2024)
by: Hanselle, Jonas, et al.
Published: (2024)
DuSCN-FusionNet: An Interpretable Dual-Channel Structural Covariance Fusion Framework for ADHD Classification Using Structural MRI
by: Ain, Qurat Ul, et al.
Published: (2026)
by: Ain, Qurat Ul, et al.
Published: (2026)
Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis
by: Atzmueller, Martin, et al.
Published: (2024)
by: Atzmueller, Martin, et al.
Published: (2024)
Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern
by: Sajid, M., et al.
Published: (2024)
by: Sajid, M., et al.
Published: (2024)
Predicting Chest Radiograph Findings from Electrocardiograms Using Interpretable Machine Learning
by: Matejas, Julia, et al.
Published: (2025)
by: Matejas, Julia, et al.
Published: (2025)
Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning
by: Tian, Haozhe, et al.
Published: (2025)
by: Tian, Haozhe, et al.
Published: (2025)
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
by: Liu, Jin, et al.
Published: (2023)
by: Liu, Jin, et al.
Published: (2023)
Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning
by: Si, Yong, et al.
Published: (2025)
by: Si, Yong, et al.
Published: (2025)
Lévy-Flow Models: Heavy-Tail-Aware Normalizing Flows for Financial Risk Management
by: Drissi, Rachid
Published: (2026)
by: Drissi, Rachid
Published: (2026)
MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability
by: Khadka, Barsat
Published: (2026)
by: Khadka, Barsat
Published: (2026)
Intelligent Diagnosis of Alzheimer's Disease Based on Machine Learning
by: Li, Mingyang, et al.
Published: (2024)
by: Li, Mingyang, et al.
Published: (2024)
Noninvasive Acute Compartment Syndrome Diagnosis Using Random Forest Machine Learning
by: Hweij, Zaina Abu, et al.
Published: (2024)
by: Hweij, Zaina Abu, et al.
Published: (2024)
ADHDeepNet From Raw EEG to Diagnosis: Improving ADHD Diagnosis through Temporal-Spatial Processing, Adaptive Attention Mechanisms, and Explainability in Raw EEG Signals
by: Amini, Ali, et al.
Published: (2025)
by: Amini, Ali, et al.
Published: (2025)
Similar Items
-
A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams
by: Richard, Rene, et al.
Published: (2023) -
Transformer-based Time-Series Biomarker Discovery for COPD Diagnosis
by: Gadgil, Soham, et al.
Published: (2024) -
Machine Learning Driven Biomarker Selection for Medical Diagnosis
by: Bavikadi, Divyagna, et al.
Published: (2024) -
D-GATNet: Interpretable Temporal Graph Attention Learning for ADHD Identification Using Dynamic Functional Connectivity
by: Ain, Qurat Ul, et al.
Published: (2026) -
Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease
by: Khalid, Maryam, et al.
Published: (2024)