Mohammed Hassanin

24 papers Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KAN-LSTM: Benchmarking Kolmogorov-Arnold Networks for Cyber Security Threat Detection in IoT Networks. CoRR Mohammed Hassanin
2026	J	`jnl`	Progressive Split Mamba: Effective State Space Modelling for Image Restoration. CoRR Mohammed Hassanin, Nour Moustafa, Weijian Deng, Ibrahim Radwan
2025	J	`jnl`	Crossformer3D: cross spatio-temporal transformer for 3D human pose estimation. Signal Image Video Process. Mohammed Hassanin, Abdelwahed Khamis, Mohammed Bennamoun, Farid Boussaïd, Ibrahim Radwan
2025	J	`jnl`	PLLM-CS: Pre-trained Large Language Model (LLM) for cyber threat detection in satellite networks. Ad Hoc Networks Mohammed Hassanin, Marwa Keshk, Sara Salim, Majid Alsubaie, Dharmendra Sharma
2025	J	`jnl`	Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers. CoRR Mohammed Hassanin, Mohammad Abu Alsheikh, Carlos C. N. Kuhn, Damith Herath, Dinh Thai Hoang, Ibrahim Radwan
2024	J	`jnl`	A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions. CoRR Mohammed Hassanin, Nour Moustafa
2024	J	`jnl`	Dynamic Hypersphere Embedding Scale Against Adversarial Attacks. IEEE Trans. Engineering Management Mohammed Hassanin, Nour Moustafa, Imran Razzak, M. Tanveer, David G. A. Ormrod, Jill Slay
2024	J	`jnl`	Mixed fragmentation technique for securing structured data using multi-cloud environment (MFT-SSD). Ad Hoc Networks Rabab Mohamed Nabawy, Mohammed Hassanin, Mohamed H. Ibrahim, Mostafa R. Kaseb
2024	J	`jnl`	PLLM-CS: Pre-trained Large Language Model (LLM) for Cyber Threat Detection in Satellite Networks. CoRR Mohammed Hassanin, Marwa Keshk, Sara Salim, Majid Alsubaie, Dharmendra Sharma
2024	J	`jnl`	Visual attention methods in deep learning: An in-depth survey. Inf. Fusion Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan, Fahad Shahbaz Khan, Ajmal Mian
2023	J	`jnl`	ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR Mathilde Papillon, Mustafa Hajij, Florian Frantzen, Josef Hoppe, Helen Jenne, Johan Mathe, Audun Myers, Theodore Papamarkou, Michael T. Schaub, Ghada Zamzmi, Tolga Birdal, Tamal K. Dey, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.
2023	—	`conf`	ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane
2022	J	`jnl`	CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation. CoRR Mohammed Hassanin, Abdelwahed Khamis, Mohammed Bennamoun, Farid Boussaïd, Ibrahim Radwan
2022	J	`jnl`	Learning discriminative representations for multi-label image recognition. J. Vis. Commun. Image Represent. Mohammed Hassanin, Ibrahim Radwan, Salman H. Khan, Murat Tahtali
2022	J	`jnl`	Rethinking maximum-margin softmax for adversarial robustness. Comput. Secur. Mohammed Hassanin, Nour Moustafa, Murat Tahtali, Kim-Kwang Raymond Choo
2022	J	`jnl`	Visual Affordance and Function Understanding: A Survey. ACM Comput. Surv. Mohammed Hassanin, Salman H. Khan, Murat Tahtali
2022	J	`jnl`	Visual Attention Methods in Deep Learning: An In-Depth Survey. CoRR Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan, Fahad Shahbaz Khan, Ajmal S. Mian
2021	J	`jnl`	Learning Discriminative Representations for Multi-Label Image Recognition. CoRR Mohammed Hassanin, Ibrahim Radwan, Salman H. Khan, Murat Tahtali
2021	J	`jnl`	Mitigating the impact of adversarial attacks in very deep networks. Appl. Soft Comput. Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa, Murat Tahtali, Neeraj Kumar
2020	—	`conf`	A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models. SSCI Mohammed Hassanin, Nour Moustafa, Murat Tahtali
2020	J	`jnl`	A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models. CoRR Mohammed Hassanin, Nour Moustafa, Murat Tahtali
2020	J	`jnl`	A New Localization Objective for Accurate Fine-Grained Affordance Segmentation Under High-Scale Variations. IEEE Access Mohammed Hassanin, Salman H. Khan, Murat Tahtali
2020	J	`jnl`	Mitigating the Impact of Adversarial Attacks in Very Deep Networks. CoRR Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa, Murat Tahtali, Neeraj Kumar
2018	J	`jnl`	Visual Affordance and Function Understanding: A Survey. CoRR Mohammed Hassanin, Salman H. Khan, Murat Tahtali