Sheraz Ahmed
- TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network
2017/03/19 by Ayushman Dash, Dash, Ayushman, John Cristian Borges Gamboa +7 · 7 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image Processing Techniques #Digital Media Forensic Detection
- Judging a Book By its Cover
2016/10/28 by Brian Kenji Iwana, Syed Tahseen Raza Rizvi, Iwana, Brian Kenji +7 · 1 voice
#cs.CV
- Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems
2020/11/26 by Adriano Lucieri, Lucieri, Adriano, Muhammad Naseer Bajwa +5 · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Anomaly Detection Techniques and Applications
- A Robust and Precise ConvNet for small non-coding RNA classification\n (RPC-snRC)
2019/12/23 by Muhammad Nabeel Asima, Asima, Muhammad Nabeel, Muhammad Imran Malik +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Immunology and Microbiology · #Antimicrobial Peptides and Activities #Cancer-related molecular mechanisms research #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #RNA and protein synthesis mechanisms #RNA modifications and cancer
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
2020/04/19 by Mateus Dias Ribeiro, Ribeiro, Mateus Dias, Abdul Rehman +5 · 1 citation
Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis
- Benchmarking adversarial attacks and defenses for time-series data
2020/08/30 by Shoaib Ahmed Siddiqui, Andreas Dengel, Siddiqui, Shoaib Ahmed +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bacillus and Francisella bacterial research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Going Beyond Classification Accuracy Metrics in Model Compression
2020/12/03 by V. Roshan Joseph, Joseph, Vinu, Shoaib Ahmed Siddiqui +13 · 1 citation
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods
2022/02/08 by Dominique Mercier, Mercier, Dominique, Jwalin Bhatt +5 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #Time Series Analysis and Forecasting #Neural Networks and Applications
- ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions
2022/01/04 by Adriano Lucieri, Lucieri, Adriano, Muhammad Naseer Bajwa +9 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence (cs.AI) #Cutaneous Melanoma Detection and Management #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Recent advances in green hydrogen production, storage and commercial-scale use via catalytic ammonia cracking
2023/08/10 by Muhammad Asif, Syeda Sidra Bibi, Sheraz Ahmed +6 · 1 citation
Chemical Engineering · Computer Science · Materials Science · #Ammonia Synthesis and Nitrogen Reduction #Caching and Content Delivery #Hydrogen Storage and Materials
- DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification
2024/07/04 by Saifullah Saifullah, Stefan Agne, Saifullah, Saifullah +5 · 2 citations
Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Imbalanced Data Classification Techniques