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ORCIDRodrigue Rizk
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2020 – today
- 2026
[i10]Nicholas Rasmussen, Rodrigue Rizk
, Longwei Wang, Arun Singh, KC Santosh:
Channel Selected Stratified Nested Cross Validation for Clinically Relevant EEG Based Parkinsons Disease Detection. CoRR abs/2601.05276 (2026)- [i9]KC Santosh, Srikanth Baride, Rodrigue Rizk:
AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models. CoRR abs/2602.16042 (2026) - 2025
- [j3]Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Patrick Rizk, Chee-Hung Henry Chu:
KAN-MID: A Kolmogorov-Arnold Networks-Based Framework for Malicious URL and Intrusion Detection in IoT Systems. IEEE Access 13: 160855-160873 (2025) - [c20]KC Santosh, Rodrigue Rizk, Longwei Wang:
Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence. CogMI 2025: 440-448 - [c19]Pooja Singh, Rodrigue Rizk, KC Santosh:
PATL: Pool-Based Active Twin Learner from Oracle with Imitation Learning for Early Epidemic Detection. CAI 2025: 561-566 - [i8]Kanishka Parankusham, Rodrigue Rizk, KC Santosh:
LakotaBERT: A Transformer-based Model for Low Resource Lakota Language. CoRR abs/2503.18212 (2025) - [i7]Casey Wall, Longwei Wang, Rodrigue Rizk, KC Santosh:
Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization. CoRR abs/2507.10846 (2025) - [i6]Nand Kumar Yadav, Rodrigue Rizk, William CW Chen, KC Santosh:
MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation. CoRR abs/2507.16122 (2025) - [i5]Shomoita Jahid Mitin, Rodrigue Rizk, Maximilian Scherer, Thomas Koeglsperger, Daniel Lench, KC Santosh, Arun Singh:
Bi-cephalic self-attended model to classify Parkinson's disease patients with freezing of gait. CoRR abs/2507.20862 (2025) - [i4]Nicholas Rasmussen, Rodrigue Rizk, Longwei Wang, KC Santosh:
Ecologically Valid Benchmarking and Adaptive Attention: Scalable Marine Bioacoustic Monitoring. CoRR abs/2509.04682 (2025) - [i3]Puskal Khadka, Rodrigue Rizk, Longwei Wang, KC Santosh:
CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision. CoRR abs/2509.08959 (2025) - [i2]KC Santosh, Rodrigue Rizk, Longwei Wang:
Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence. CoRR abs/2510.23524 (2025) - [i1]Nand Kumar Yadav, Rodrigue Rizk, William CW Chen, KC Santosh:
I Detect What I Don't Know: Incremental Anomaly Learning with Stochastic Weight Averaging-Gaussian for Oracle-Free Medical Imaging. CoRR abs/2511.03912 (2025) - 2024
- [b1]KC Santosh, Rodrigue Rizk, Siddhi K. Bajracharya:
Cracking the Machine Learning Code: Technicality or Innovation? Studies in 1155, Springer 2024, ISBN 978-981-97-2719-3, pp. 1-127 - [j2]Nicholas Rasmussen, Rodrigue Rizk, Omera Matoo, KC Santosh:
DeepWhaleNet: Climate Change-Aware FFT-Based Deep Neural Network for Passive Acoustic Monitoring. Int. J. Pattern Recognit. Artif. Intell. 38(14): 2459014:1-2459014:25 (2024) - [c18]Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Patrick Rizk, Chee-Hung Henry Chu:
A Unified Approach for Binary-Class and Multi-Class Data Augmented Generation. CAI 2024: 69-74 - [c17]Jonathan Ledet, Ashok Kumar, Dominick Rizk, Rodrigue Rizk, KC Santosh:
Optimized Vision Transformer Training using GPU and Multi-threading. CAI 2024: 1043-1044 - [c16]Aniket Kumar, Rodrigue Rizk, KC Santosh:
Transformer-based Reinforcement Learning Model for Optimized Quantitative Trading. CAI 2024: 1454-1455 - 2023
- [j1]Rodrigue Rizk, Dominick Rizk, Frederic Rizk, Sonya H. Y. Hsu:
280 characters to the White House: predicting 2020 U.S. presidential elections from twitter data. Comput. Math. Organ. Theory 29(4): 542-569 (2023) - [c15]Frederic Rizk, Rodrigue Rizk, Dominick Rizk, Chee-Hung Henry Chu:
MAGAN: A Meta-Analysis for Generative Adversarial Networks' Latent Space. ICPRAM 2023: 488-494 - [c14]Siddhi K. Bajracharya, Rodrigue Rizk, KC Santosh:
Deep Spectral Features to Detect Atrial Fibrillation using Single-Lead ECG Signals. CAI 2023: 154-155 - [c13]Anup Khanal, Rodrigue Rizk, KC Santosh:
Ensemble Deep Convolutional Neural Network to Identify Fractured Limbs using CT Scans. CAI 2023: 156-157 - [c12]Abhishek Kumar Chaudhary, Shotabdi Roy, Rodrigue Rizk, KC Santosh:
Automated Fracture Detection from CT Scans. CAI 2023: 161-162 - [c11]Anish Mathew Chacko, Rodrigue Rizk, KC Santosh:
Leveraging Handwriting Impairment as a Biomarker for Early Parkinson's Disease Diagnosis. RTIP2R (2) 2023: 3-11 - 2022
- [c10]Chady El Moucary, Abdallah Kassem, Dominick Rizk, Rodrigue Rizk, Sawan Sawan, Walid Zakhem:
Commodious Control Apparatus for Impaired People. ICM 2022: 16-20 - [c9]Rodrigue Rizk, Dominick Rizk, Frederic Rizk, Ashok Kumar, Magdy A. Bayoumi:
A Resource-Saving Energy-Efficient Reconfigurable Hardware Accelerator for BERT-based Deep Neural Network Language Models using FFT Multiplication. ISCAS 2022: 1675-1679 - [c8]Dominick Rizk, Rodrigue Rizk, Frederic Rizk, Ashok Kumar:
An Economic Uniqueness-Improved Reliable Reconfigurable RO PUF for IoT Security. ISCAS 2022: 1680-1684 - [c7]Frederic Rizk, Dominick Rizk, Rodrigue Rizk, Ashok Kumar:
A Cost-Efficient Reversible-Based Reconfigurable Ring Oscillator Physical Unclonable Function. ISCAS 2022: 1685-1689 - 2021
- [c6]Dominick Rizk, Rodrigue Rizk, Frederic Rizk, Ashok Kumar:
An In-Situ Sliding Window Approximate Inner-Product Scheme Based on Parallel Distributed Arithmetic for Ultra-Low Power Fault-Tolerant Applications. MWSCAS 2021: 503-506 - [c5]Rodrigue Rizk, Dominick Rizk, Frederic Rizk, Ashok Kumar:
A Hybrid Capsule Network-based Deep Learning Framework for Deciphering Ancient Scripts with Scarce Annotations: A Case Study on Phoenician Epigraphy. MWSCAS 2021: 617-620 - [c4]Rodrigue Rizk, Dominick Rizk, Frederic Rizk, Ashok Kumar, Magdy A. Bayoumi:
An Efficient Capsule Network Reconfigurable Hardware Accelerator for Deciphering Ancient Scripts with Scarce Annotations. SoCC 2021: 75-78 - [c3]Dominick Rizk, Rodrigue Rizk, Frederic Rizk, Ashok Kumar, Magdy A. Bayoumi:
A Cost-Efficient Reversible-Based Configurable Ring Oscillator Physical Unclonable Function. SoCC 2021: 79-82
2010 – 2019
- 2019
- [c2]Rodrigue Rizk, Dominick Rizk, Ashok Kumar, Magdy A. Bayoumi:
Demystifying Emerging Nonvolatile Memory Technologies: Understanding Advantages, Challenges, Trends, and Novel Applications. ISCAS 2019: 1-5 - [c1]Dominick Rizk, Rodrigue Rizk, Sonya H. Y. Hsu:
Applied Layered-Security Model to IoMT. ISI 2019: 227
Coauthor Index
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last updated on 2026-03-31 00:28 CEST by the dblp team
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