Rodrigue Rizk

Orcid: 0000-0002-4392-4188

According to our database1, Rodrigue Rizk authored at least 35 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Winsor-CAM: Human-Tunable Visual Explanations From Deep Networks via Layer-Wise Winsorization.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection.
CoRR, April, 2026

Fragile Reasoning: A Mechanistic Analysis of LLM Sensitivity to Meaning-Preserving Perturbations.
CoRR, April, 2026

AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models.
CoRR, February, 2026

Channel Selected Stratified Nested Cross Validation for Clinically Relevant EEG Based Parkinsons Disease Detection.
CoRR, January, 2026

2025
I Detect What I Don't Know: Incremental Anomaly Learning with Stochastic Weight Averaging-Gaussian for Oracle-Free Medical Imaging.
CoRR, November, 2025

CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision.
CoRR, September, 2025

Ecologically Valid Benchmarking and Adaptive Attention: Scalable Marine Bioacoustic Monitoring.
CoRR, September, 2025

Bi-cephalic self-attended model to classify Parkinson's disease patients with freezing of gait.
CoRR, July, 2025

MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation.
CoRR, July, 2025

LakotaBERT: A Transformer-based Model for Low Resource Lakota Language.
CoRR, March, 2025

KAN-MID: A Kolmogorov-Arnold Networks-Based Framework for Malicious URL and Intrusion Detection in IoT Systems.
IEEE Access, 2025

PATL: Pool-Based Active Twin Learner from Oracle with Imitation Learning for Early Epidemic Detection.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence.
Proceedings of the 7th IEEE International Conference on Cognitive Machine Intelligence, 2025

2024
DeepWhaleNet: Climate Change-Aware FFT-Based Deep Neural Network for Passive Acoustic Monitoring.
Int. J. Pattern Recognit. Artif. Intell., November, 2024

Cracking the Machine Learning Code: Technicality or Innovation?
Studies in 1155, Springer, ISBN: 978-981-97-2719-3, 2024

A Unified Approach for Binary-Class and Multi-Class Data Augmented Generation.
Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Optimized Vision Transformer Training using GPU and Multi-threading.
Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Transformer-based Reinforcement Learning Model for Optimized Quantitative Trading.
Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2023
280 characters to the White House: predicting 2020 U.S. presidential elections from twitter data.
Comput. Math. Organ. Theory, December, 2023

Leveraging Handwriting Impairment as a Biomarker for Early Parkinson's Disease Diagnosis.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023

Ensemble Deep Convolutional Neural Network to Identify Fractured Limbs using CT Scans.
Proceedings of the IEEE Conference on Artificial Intelligence, 2023

Automated Fracture Detection from CT Scans.
Proceedings of the IEEE Conference on Artificial Intelligence, 2023

Deep Spectral Features to Detect Atrial Fibrillation using Single-Lead ECG Signals.
Proceedings of the IEEE Conference on Artificial Intelligence, 2023

MAGAN: A Meta-Analysis for Generative Adversarial Networks' Latent Space.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

2022
A Resource-Saving Energy-Efficient Reconfigurable Hardware Accelerator for BERT-based Deep Neural Network Language Models using FFT Multiplication.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A Cost-Efficient Reversible-Based Reconfigurable Ring Oscillator Physical Unclonable Function.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

An Economic Uniqueness-Improved Reliable Reconfigurable RO PUF for IoT Security.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Commodious Control Apparatus for Impaired People.
Proceedings of the International Conference on Microelectronics, 2022

2021
A Cost-Efficient Reversible-Based Configurable Ring Oscillator Physical Unclonable Function.
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

An Efficient Capsule Network Reconfigurable Hardware Accelerator for Deciphering Ancient Scripts with Scarce Annotations.
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

A Hybrid Capsule Network-based Deep Learning Framework for Deciphering Ancient Scripts with Scarce Annotations: A Case Study on Phoenician Epigraphy.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

An In-Situ Sliding Window Approximate Inner-Product Scheme Based on Parallel Distributed Arithmetic for Ultra-Low Power Fault-Tolerant Applications.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

2019
Applied Layered-Security Model to IoMT.
Proceedings of the 2019 IEEE International Conference on Intelligence and Security Informatics, 2019

Demystifying Emerging Nonvolatile Memory Technologies: Understanding Advantages, Challenges, Trends, and Novel Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019


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