Ola Ahmad - RankMe

34 papers A* 5A 4B 1Misc 1Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	QuaRK: A Quantum Reservoir Kernel for Time Series Learning. CoRR Abdallah Aaraba, Soumaya Cherkaoui, Ola Ahmad, Shengrui Wang
2025	J	`jnl`	A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy. CoRR Maxime Heuillet, Rishika Bhagwatkar, Jonas Ngnawé, Yann Pequignot, Alexandre Larouche, Christian Gagné, Irina Rish, Ola Ahmad, Audrey Durand
2025	J	`jnl`	C-SWAP: Explainability-Aware Structured Pruning for Efficient Neural Networks Compression. CoRR Baptiste Bauvin, Loïc Baret, Ola Ahmad
2025	A	`conf`	DarSwin-Unet: Distortion Aware Architecture. WACV Akshaya Athwale, Ichrak Shili, Émile Bergeron, Ola Ahmad, Jean-François Lalonde
2025	J	`jnl`	ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations. CoRR Florent Chiaroni, Ali Ayub, Ola Ahmad
2025	A*	`conf`	Promi: an Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations. ICRA Florent Chiaroni, Ali Ayub, Ola Ahmad
2025	J	`jnl`	Quantum Gated Recurrent GAN with Gaussian Uncertainty for Network Anomaly Detection. CoRR Wajdi Hammami, Soumaya Cherkaoui, Jean Frédéric Laprade, Ola Ahmad, Shengrui Wang
2025	J	`jnl`	Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Adversarial Scheduling. CoRR Jonas Ngnawé, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Ola Ahmad, Audrey Durand, Frédéric Precioso, Christian Gagné
2024	A	`conf`	Causal Analysis for Robust Interpretability of Neural Networks. WACV Ola Ahmad, Nicolas Béreux, Loïc Baret, Vahid Hashemi, Freddy Lécué
2024	J	`jnl`	DarSwin-Unet: Distortion Aware Encoder-Decoder Architecture. CoRR Akshaya Athwale, Ichrak Shili, Émile Bergeron, Ola Ahmad, Jean-François Lalonde
2024	—	`conf`	LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder. WF-IoT Alexis Vieloszynski, Soumaya Cherkaoui, Ola Ahmad, Jean Frédéric Laprade, Olivier Nahman-Lévesque, Abdallah Aaraba, Shengrui Wang
2024	A	`conf`	MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. WACV Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz
2024	A	`conf`	Neural Active Learning Meets the Partial Monitoring Framework. UAI Maxime Heuillet, Ola Ahmad, Audrey Durand
2024	J	`jnl`	Neural Active Learning Meets the Partial Monitoring Framework. CoRR Maxime Heuillet, Ola Ahmad, Audrey Durand
2024	Misc	`conf`	QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting. QCE Abdallah Aaraba, Soumaya Cherkaoui, Ola Ahmad, Jean Frédéric Laprade, Olivier Nahman-Lévesque, Alexis Vieloszynski, Shengrui Wang
2024	J	`jnl`	QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting. CoRR Abdallah Aaraba, Soumaya Cherkaoui, Ola Ahmad, Jean Frédéric Laprade, Olivier Nahman-Lévesque, Alexis Vieloszynski, Shengrui Wang
2024	A*	`conf`	Randomized Confidence Bounds for Stochastic Partial Monitoring. ICML Maxime Heuillet, Ola Ahmad, Audrey Durand
2024	J	`jnl`	Randomized Confidence Bounds for Stochastic Partial Monitoring. CoRR Maxime Heuillet, Ola Ahmad, Audrey Durand
2024	J	`jnl`	Successive data injection in conditional quantum GAN applied to time series anomaly detection. IET Quantum Commun. Benjamin Kalfon, Soumaya Cherkaoui, Jean Frédéric Laprade, Ola Ahmad, Shengrui Wang
2023	J	`jnl`	Causal Analysis for Robust Interpretability of Neural Networks. CoRR Ola Ahmad, Nicolas Béreux, Vahid Hashemi, Freddy Lécué
2023	A*	`conf`	DarSwin: Distortion Aware Radial Swin Transformer. ICCV Akshaya Athwale, Arman Afrasiyabi, Justin Lagüe, Ichrak Shili, Ola Ahmad, Jean-François Lalonde
2023	J	`jnl`	DarSwin: Distortion Aware Radial Swin Transformer. CoRR Akshaya Athwale, Arman Afrasiyabi, Justin Lagüe, Ichrak Shili, Ola Ahmad, Jean-François Lalonde
2023	J	`jnl`	MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. CoRR Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz
2023	J	`jnl`	Successive Data Injection in Conditional Quantum GAN Applied to Time Series Anomaly Detection. CoRR Benjamin Kalfon, Soumaya Cherkaoui, Jean Frédéric Laprade, Ola Ahmad, Shengrui Wang
2023	A*	`conf`	Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract). AAAI Arnaud Gardille, Ola Ahmad
2022	A*	`conf`	FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition. AAAI Ola Ahmad, Freddy Lécué
2022	J	`jnl`	FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition. CoRR Ola Ahmad, Freddy Lécué
2021	J	`jnl`	Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems. CoRR Clément Playout, Ola Ahmad, Freddy Lécué, Farida Cheriet
2018	J	`jnl`	Spectral Shape Analysis of Human Torsos: Application to the Evaluation of Scoliosis Surgery Outcome. IEEE J. Biomed. Health Informatics Ola Ahmad, Herve Lombaert, Stefan Parent, Hubert Labelle, Farida Cheriet
2017	—	`conf`	3D shape asymmetry analysis using correspondence between partial geodesic curves. GlobalSIP Ola Ahmad, Philippe Debanné, Stefan Parent, Hubert Labelle, Farida Cheriet
2017	—	`conf`	A Novel Automatic Method to Evaluate Scoliotic Trunk Shape Changes in Different Postures. ICIAR Philippe Debanné, Ola Ahmad, Stefan Parent, Hubert Labelle, Farida Cheriet
2016	—	`conf`	Longitudinal Scoliotic Trunk Analysis via Spectral Representation and Statistical Analysis. SeSAMI@MICCAI Ola Ahmad, Herve Lombaert, Stefan Parent, Hubert Labelle, Jean Dansereau, Farida Cheriet
2016	J	`jnl`	Scale-space spatio-temporal random fields: Application to the detection of growing microbial patterns from surface roughness. Pattern Recognit. Ola Ahmad, Christophe Collet
2015	B	`conf`	Spatio-spectral Gaussian random field modeling approach for target detection on hyperspectral data obtained in very low SNR. ICIP Ola Ahmad, Christophe Collet, Fabien Salzenstein