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ORCIDIhsan Ullah 0002
Person information
- affiliation: National University of Ireland, Galway, Ireland
Other persons with the same name
- Ihsan Ullah — disambiguation page
- Ihsan Ullah 0001 — University of Balochistan, Quetta, Pakistan (and 1 more)
- Ihsan Ullah 0003
![[0000-0001-9062-8691]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9062-8691")
— COMSATS University, Abbottabad, Pakistan - Ihsan Ullah 0004 — Korea University of Technology and Education, Cheonan, SouthKorea (and 1 more)
- Ihsan Ullah 0005 — Daegu Gyeonbuk Institute of Science and Technology, Daegu, South Korea
- Ihsan Ullah 0006 — South China University of Technology, Guangzhou, China
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Books and Theses
- 2017
[b1]Ihsan Ullah:
A PYRAMIDAL APPROACH FOR DESIGNING DEEP NEURAL NETWORK ARCHITECTURES. University of Milan, Italy, 2017
Journal Articles
- 2024
- [j11]Kashif Shaheed, Piotr Szczuko, Munish Kumar, Imran Qureshi, Qaisar Abbas, Ihsan Ullah:
Deep learning techniques for biometric security: A systematic review of presentation attack detection systems. Eng. Appl. Artif. Intell. 129: 107569 (2024) - [j10]Talha Iqbal, Aaleen Khalid, Ihsan Ullah:
Explaining decisions of a light-weight deep neural network for real-time coronary artery disease classification in magnetic resonance imaging. J. Real Time Image Process. 21(2): 31 (2024) - 2023
- [j9]Muhammad Hussain, Qazi Emad-ul-Haq, Hatim A. Aboalsamh, Ihsan Ullah:
Emotion Recognition System Based on Two-Level Ensemble of Deep-Convolutional Neural Network Models. IEEE Access 11: 16875-16895 (2023) - [j8]Andy Donald, Apostolos Galanopoulos, Edward Curry, Emir Muñoz, Ihsan Ullah, M. A. Waskow, Maciej Dabrowski, Manan Kalra:
Bias Detection for Customer Interaction Data: A Survey on Datasets, Methods, and Tools. IEEE Access 11: 53703-53715 (2023) - [j7]Talha Iqbal, Osama Soliman, Sherif Sultan, Ihsan Ullah:
Machine Learning Approaches for Segmentation of Cardiovascular Neurocristopathy Related Images. IEEE Access 11: 118301-118317 (2023) - 2022
- [j6]Sajid Javed, Arif Mahmood, Ihsan Ullah, Thierry Bouwmans, Majid Khonji, Jorge Manuel Miranda Dias, Naoufel Werghi:
A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking. IEEE Access 10: 24690-24703 (2022) - [j5]Ihsan Ullah, Mario Manzo, Mitul Shah, Michael G. Madden:
Graph convolutional networks: analysis, improvements and results. Appl. Intell. 52(8): 9033-9044 (2022) - [j4]Brett Drury, Samuel Morais Drury, Md. Arafatur Rahman, Ihsan Ullah:
A social network of crime: A review of the use of social networks for crime and the detection of crime. Online Soc. Networks Media 30: 100211 (2022) - 2018
- [j3]Ihsan Ullah, Muhammad Hussain, Emad-ul-Haq Qazi, Hatim Aboalsamh:
An automated system for epilepsy detection using EEG brain signals based on deep learning approach. Expert Syst. Appl. 107: 61-71 (2018) - [j2]Zulfiqar Ali, M. Shamim Hossain, Ghulam Muhammad, Ihsan Ullah, Hamid R. Abachi, Atif Alamri:
Edge-centric multimodal authentication system using encrypted biometric templates. Future Gener. Comput. Syst. 85: 76-87 (2018) - 2013
- [j1]Muhammad Hussain, Ihsan Ullah, Hatim A. Aboalsamh, Ghulam Muhammad, George Bebis, Anwar Majid Mirza:
Gender Recognition from Face Images with Dyadic Wavelet Transform and Local Binary Pattern. Int. J. Artif. Intell. Tools 22(6) (2013)
Conference and Workshop Papers
- 2024
- [c22]Alex Acquier, Andy Donald, Edward Curry, Ihsan Ullah, Umair ul Hassan:
Linking of open and private data in dataspace: A case study of air quality monitoring and forecasting. SDS@ESWC 2024 - [c21]Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden:
Beyond the Known: Adversarial Autoencoders in Novelty Detection. VISIGRAPP (2): VISAPP 2024: 256-265 - [c20]Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah:
Depth Estimation Using Weighted-Loss and Transfer Learning. VISIGRAPP (2): VISAPP 2024: 780-787 - 2023
- [c19]Ihsan Ullah, Umair ul Hassan, Muhammad Intizar Ali:
Multi-level Federated Learning for Industry 4.0 - A Crowdsourcing Approach. ISM 2023: 423-435 - [c18]Seif Allah EL Mesloul Nasri, Ihsan Ullah, Michael G. Madden:
Compression scenarios for Federated Learning in Smart Manufacturing. ISM 2023: 436-445 - [c17]Muhammad Adeel Hafeez, Sajid Javed, Michael G. Madden, Ihsan Ullah:
Unsupervised End-to-End Transformer based approach for Video Anomaly Detection. IVCNZ 2023: 1-7 - [c16]Andy Donald, Apostolos Galanopoulos, Edward Curry, Emir Muñoz, Ihsan Ullah, M. A. Waskow, Maciej Dabrowski, Manan Kalra:
Towards a Semantic Approach for Linked Dataspace, Model and Data Cards. WWW (Companion Volume) 2023: 1468-1473 - 2021
- [c15]Suruchi Gupta, Ihsan Ullah, Michael Madden:
Coyote: A Dataset of Challenging Scenarios in Visual Perception for Autonomous Vehicles. AISafety@IJCAI 2021 - 2020
- [c14]Ihsan Ullah, Sean Reilly, Michael G. Madden:
Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons. ICPR 2020: 5451-5458 - [c13]Ihsan Ullah, Caoilfhionn Lane, Teodora Sandra Buda, Brett Drury, Marc Mellotte, Haytham Assem, Michael G. Madden:
Classification of Cybercrime Indicators in Open Social Data. SIMBig 2020: 317-332 - 2018
- [c12]Emanuel Di Nardo, Alfredo Petrosino, Ihsan Ullah:
EmoP3D: A Brain Like Pyramidal Deep Neural Network for Emotion Recognition. ECCV Workshops (3) 2018: 607-616 - [c11]David L. Smyth, James Fennell, Sai Abinesh, Nazli B. Karimi, Frank G. Glavin, Ihsan Ullah, Brett Drury, Michael G. Madden:
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation. IJCAI 2018: 5862-5864 - [c10]Brett Drury, Ihsan Ullah, Michael G. Madden:
An Information Retrieval System for CBRNe Incidents. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 211-215 - [c9]Ihsan Ullah, Sai Abinesh, David L. Smyth, Nazli B. Karimi, Brett Drury, Frank G. Glavin, Michael G. Madden:
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 216-221 - 2017
- [c8]Ihsan Ullah, Alfredo Petrosino:
A Spatio-temporal Feature Learning Approach for Dynamic Scene Recognition. PReMI 2017: 591-598 - 2016
- [c7]Ihsan Ullah, Alfredo Petrosino:
Spatiotemporal Features Learning with 3DPyraNet. ACIVS 2016: 638-647 - [c6]Ihsan Ullah, Alfredo Petrosino:
About pyramid structure in convolutional neural networks. IJCNN 2016: 1318-1324 - [c5]Emad-ul-Haq Qazi, Muhammad Hussain, Hatim A. Aboalsamh, Wadood Abdul, Saeed M. Bamatraf, Ihsan Ullah:
An Intelligent System to Classify Epileptic and Non-Epileptic EEG Signals. SITIS 2016: 230-235 - 2015
- [c4]Ihsan Ullah, Alfredo Petrosino:
A Strict Pyramidal Deep Neural Network for Action Recognition. ICIAP (1) 2015: 236-245 - 2013
- [c3]Ihsan Ullah, Naveed Khan, Hatim A. Aboalsamh:
Survey on botnet: Its architecture, detection, prevention and mitigation. ICNSC 2013: 660-665 - 2012
- [c2]Ihsan Ullah, Muhammad Hussain, Hatim Aboalsamh, Muhammad Ghulam, Anwar M. Mirza, George Bebis:
Gender Recognition from Face Images with Dyadic Wavelet Transform and Local Binary Pattern. ISVC (2) 2012: 409-419 - 2010
- [c1]Maqsood Mahmud, Abdulrahman Abdulkarim Mirza, Ihsan Ullah, Naveed Khan, Abdul Hanan Bin Abdullah, Mohammad Yazid Bin Idris:
Enhanced Technique for Secure Wireless Sensor Routing with Respect to Energy Conservation. FGIT 2010: 376-382
Parts in Books or Collections
- 2016
- [p1]Sara Iodice, Alfredo Petrosino, Ihsan Ullah:
Strict Pyramidal Deep Architectures for Person Re-identification. Advances in Neural Networks 2016: 179-186
Informal and Other Publications
- 2024
- [i10]Ayman Abaid, Muhammad Ali Farooq, Niamh Hynes, Peter Corcoran, Ihsan Ullah:
Synthesizing CTA Image Data for Type-B Aortic Dissection using Stable Diffusion Models. CoRR abs/2402.06969 (2024) - [i9]Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden:
Beyond the Known: Adversarial Autoencoders in Novelty Detection. CoRR abs/2404.04456 (2024) - [i8]Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah:
Depth Estimation using Weighted-loss and Transfer Learning. CoRR abs/2404.07686 (2024) - 2020
- [i7]Bahram Lavi, Ihsan Ullah, Mehdi Fatan, Anderson Rocha:
Survey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet? CoRR abs/2005.00355 (2020) - 2019
- [i6]Emad-ul-Haq Qazi, Muhammad Hussain, Hatim A. Aboalsamh, Ihsan Ullah:
Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models. CoRR abs/1904.13234 (2019) - [i5]Ihsan Ullah, Mario Manzo, Mitul Shah, Michael G. Madden:
Graph Convolutional Networks: analysis, improvements and results. CoRR abs/1912.09592 (2019) - 2018
- [i4]Ihsan Ullah, Muhammad Hussain, Emad-ul-Haq Qazi, Hatim Aboalsamh:
An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach. CoRR abs/1801.05412 (2018) - [i3]David L. Smyth, James Fennell, Sai Abinesh, Nazli B. Karimi, Frank G. Glavin, Ihsan Ullah, Brett Drury, Michael G. Madden:
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation. CoRR abs/1806.04497 (2018) - [i2]Ihsan Ullah, Sai Abinesh, David L. Smyth, Nazli B. Karimi, Brett Drury, Frank G. Glavin, Michael G. Madden:
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. CoRR abs/1809.06244 (2018) - 2016
- [i1]Ihsan Ullah, Alfredo Petrosino:
About Pyramid Structure in Convolutional Neural Networks. CoRR abs/1608.04064 (2016)
Coauthor Index
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