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ORCIDMuhammad Imran Razzak
Mohamed Imran Razzak – Imran Razzak
Person information
- affiliation: Deakin University, School of Information Technology, Geelong, Australia
- affiliation (PhD): University of Technology Sydney, Department of Information Technology, Sydney, Australia
- affiliation: King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- affiliation: King Saud University, Center of Excellence in Information Assurance, Riyadh, Saudi Arabia
- affiliation: Universiti Teknologi Malaysia, Center of Artificial Intelligence and Robotics, Malaysia
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2020 – today
- 2024
[j117]Asim Naveed, Syed Saud Naqvi
, Tariq Mahmood Khan, Imran Razzak:
PCA: Progressive class-wise attention for skin lesions diagnosis. Eng. Appl. Artif. Intell. 127(Part B): 107417 (2024)- [j116]Izhar Ahmed Khan, Imran Razzak, Dechang Pi, Nasrullah Khan, Yasir Hussain, Bentian Li, Tanzeela Kousar:
Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks. Inf. Fusion 101: 102002 (2024) - [j115]Muhammad Zafar Iqbal, Imran Razzak, Abdul Qayyum, Thanh Thi Nguyen, M. Tanveer, Arcot Sowmya:
Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality. Inf. Fusion 102: 102061 (2024) - [j114]Md. Rafiqul Islam, Shanjita Akter, Linta Islam, Imran Razzak, Xianzhi Wang, Guandong Xu:
Strategies for evaluating visual analytics systems: A systematic review and new perspectives. Inf. Vis. 23(1): 84-101 (2024) - [j113]Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, Moona Mazher, Thanh Thi Nguyen, Domenec Puig, Fatemeh Vafaee:
3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction. IEEE J. Biomed. Health Informatics 28(3): 1185-1194 (2024) - [j112]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. IEEE J. Biomed. Health Informatics 28(4): 1815-1823 (2024) - [j111]Fahmi Khalifa, Imran Razzak, Mohammad Amjad Kamal, Ahmed Soliman:
Guest Editorial Advanced Machine Learning and Artificial Intelligence Tools for Computational Biology: Methodologies and Challenges. IEEE J. Biomed. Health Informatics 28(4): 1883-1885 (2024) - [j110]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging 43(1): 542-557 (2024) - [j109]Abdul Qayyum, Imran Razzak, Muhammad Tanveer, Moona Mazher:
Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 43:1-43:17 (2024) - [c52]Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang:
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning. AAAI 2024: 12883-12891 - [c51]Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. WSDM 2024: 18-27 - [i24]Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang:
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning. CoRR abs/2401.02610 (2024) - [i23]Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. CoRR abs/2401.04025 (2024) - 2023
- [j108]Arshia Rehman, Ahmad Khan, Gohar Fatima, Saeeda Naz, Imran Razzak:
Review on chest pathogies detection systems using deep learning techniques. Artif. Intell. Rev. 56(11): 12607-12653 (2023) - [j107]Wu He, Guandong Xu, Imran Razzak:
Social responses to the COVID-19 pandemic. Behav. Inf. Technol. 42(2): 171-173 (2023) - [j106]Syed Saud Naqvi, Zubair Akhtar Langah, Haroon Ahmed Khan, Majid Iqbal Khan, Tariq Bashir, Muhammad Imran Razzak, Tariq Mahmood Khan:
GLAN: GAN Assisted Lightweight Attention Network for Biomedical Imaging Based Diagnostics. Cogn. Comput. 15(3): 932-942 (2023) - [j105]Abdul Qayyum, Moona Mazher, Aliyu Nuhu, Abdesslam Benzinou, Aamir Saeed Malik, Imran Razzak:
Assessment of physiological states from contactless face video: a sparse representation approach. Computing 105(4): 761-781 (2023) - [j104]Tariq Mahmood Khan, Muhammad Arsalan, Imran Razzak, Erik Meijering:
Simple and robust depth-wise cascaded network for polyp segmentation. Eng. Appl. Artif. Intell. 121: 106023 (2023) - [j103]Zubair Sharif, Low Tang Jung, Imran Razzak, Mamoun Alazab:
Adaptive and Priority-Based Resource Allocation for Efficient Resources Utilization in Mobile-Edge Computing. IEEE Internet Things J. 10(4): 3079-3093 (2023) - [j102]Saiyed Umer, Alamgir Sardar, Ranjeet Kumar Rout, Muhammad Tanveer, Imran Razzak:
IoT-Enabled Multimodal Biometric Recognition System in Secure Environment. IEEE Internet Things J. 10(24): 21457-21466 (2023) - [j101]Asma Kausar, Imran Razzak, Mohd Ibrahim Shapiai, Amin Beheshti:
3D shallow deep neural network for fast and precise segmentation of left atrium. Multim. Syst. 29(3): 1739-1749 (2023) - [j100]Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Xin-She Yang, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Seifedine Kadry, Imran Razzak:
Multi-objective flower pollination algorithm: a new technique for EEG signal denoising. Neural Comput. Appl. 35(11): 7943-7962 (2023) - [j99]Nidal Nasser, Qazi Emad-ul-Haq, Muhammad Imran, Asmaa Ali, Imran Razzak, AbdulAziz Al-Helali:
A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing. Neural Comput. Appl. 35(19): 13775-13789 (2023) - [j98]Zainab Ayaz, Saeeda Naz, Naila Habib Khan, Imran Razzak, Muhammad Imran:
Automated methods for diagnosis of Parkinson's disease and predicting severity level. Neural Comput. Appl. 35(20): 14499-14534 (2023) - [j97]Abdul Qayyum, Mona Mazhar, Imran Razzak, Mohamed Reda Bouadjenek:
Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions. Neural Comput. Appl. 35(22): 16143-16155 (2023) - [j96]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny:
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. Neural Comput. Appl. 35(30): 22179-22188 (2023) - [j95]Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Imran Razzak:
Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning. Neural Networks 165: 310-320 (2023) - [j94]Muhammad Arsalan, Tariq Mahmood Khan, Syed Saud Naqvi, Mehmood Nawaz, Imran Razzak:
Prompt Deep Light-Weight Vessel Segmentation Network (PLVS-Net). IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1363-1371 (2023) - [j93]Abdul Qayyum, Imran Razzak, M. Tanveer, Moona Mazher, Bandar Alhaqbani:
High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2587-2597 (2023) - [j92]Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification. IEEE Trans. Comput. Soc. Syst. 10(3): 1140-1149 (2023) - [j91]Khan Md. Hasib, Md. Rafiqul Islam, Shadman Sakib, Md. Ali Akbar, Imran Razzak, Mohammad Shafiul Alam:
Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey. IEEE Trans. Comput. Soc. Syst. 10(4): 1568-1586 (2023) - [j90]Ali Daud, Naveed Islam, Xin Li, Imran Razzak, Malik Khizar Hayat:
Identifying Rising Stars via Supervised Machine Learning. IEEE Trans. Comput. Soc. Syst. 10(5): 2374-2384 (2023) - [j89]Fazlullah Khan, Ryan Alturki, Md. Arafatur Rahman, Spyridon Mastorakis, Imran Razzak, Syed Tauhid Ullah Shah:
Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT. IEEE Trans. Ind. Informatics 19(1): 1030-1038 (2023) - [j88]Abdullah Lakhan, Mazin Abed Mohammed, Ahmed Noori Rashid, Seifedine Nimer Kadry, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Imran Razzak:
Restricted Boltzmann Machine Assisted Secure Serverless Edge System for Internet of Medical Things. IEEE J. Biomed. Health Informatics 27(2): 673-683 (2023) - [j87]Abdul Rehman Javed, Imran Razzak, Guandong Xu:
Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks. IEEE J. Biomed. Health Informatics 27(2): 684-690 (2023) - [j86]Imran Razzak, Muhammad Khuram Khan, Guandong Xu, Fahmi Khalifa:
Guest Editorial Open and Interpretable AI in Computational Pathology. IEEE J. Biomed. Health Informatics 27(4): 1657-1660 (2023) - [j85]Rahul Sharma, Tripti Goel, Muhammad Tanveer, Ponnuthurai N. Suganthan, Imran Razzak, R. Murugan:
Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis. IEEE J. Biomed. Health Informatics 27(10): 4995-5003 (2023) - [j84]Jia Hu, Kuljeet Kaur, Hui Lin, Xiaoding Wang, Mohammad Mehedi Hassan, Imran Razzak, Mohammad Hammoudeh:
Intelligent Anomaly Detection of Trajectories for IoT Empowered Maritime Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24(2): 2382-2391 (2023) - [j83]Francesco Schiliro, Nour Moustafa, Imran Razzak, Amin Beheshti:
DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing. IEEE Trans. Intell. Transp. Syst. 24(7): 7485-7493 (2023) - [j82]Sajjad Athar, Rabeeh Ayaz Abbasi, Zafar Saeed, Anwar Said, Imran Razzak, Flora D. Salim:
ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information. World Wide Web (WWW) 26(5): 3463-3481 (2023) - [c50]Abdul Qayyum, Moona Mazher, Imran Razzak, Steven A. Niederer:
Multiscale Kernel Atrous Convolution Network for Segmentation of Myocardium. DICTA 2023: 9-15 - [c49]Tariq Mahmood Khan, Muhammad Arsalan, Shahzaib Iqbal, Imran Razzak, Erik Meijering:
Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation. DICTA 2023: 160-167 - [c48]Muhammad Zafar Iqbal, Imran Razzak, Abdul Qayyum, Tariq Mahmood Khan, Arcot Sowmya:
Hybrid Unsupervised Deformable Image Registration for 4D CT Lung Image Intra-modalities. DICTA 2023: 441-447 - [c47]Thanh Thi Nguyen, Cuong M. Nguyen, Thien Huynh-The, Quoc-Viet Pham, Quoc Viet Hung Nguyen, Imran Razzak, Vijay Janapa Reddi:
Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules. ICCS (2) 2023: 298-305 - [c46]Oluwatunmise Akinniyi, Imran Razzak, Md Mahmudur Rahman, Harpal Sandhu, Ayman El-Baz, Fahmi Khalifa:
Multi-Classification of Retinal Diseases Using a Pyramidal Ensemble Deep Framework. ICIP 2023: 1945-1949 - [c45]Anum Masood, Usman Naseem, Imran Razzak:
Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images. ISBI 2023: 1-5 - [i22]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR abs/2302.01738 (2023) - [i21]Ravin Gunawardena, Yuemeng Yin, Yi Huang, Rahat Masood, Suranga Seneviratne, Imran Razzak, Nguyen Tran, Aruna Seneviratne:
Usability of Privacy Controls in Top Health Websites. CoRR abs/2303.01838 (2023) - [i20]Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Imran Razzak:
Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning. CoRR abs/2304.12856 (2023) - [i19]Asim Naveed, Syed Saud Naqvi, Tariq Mahmood Khan, Imran Razzak:
Progressive Class-Wise Attention (PCA) Approach for Diagnosing Skin Lesions. CoRR abs/2306.07300 (2023) - [i18]Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois:
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR abs/2306.10484 (2023) - [i17]Farhan Ahmad Jafri, Mohammad Aman Siddiqui, Surendrabikram Thapa, Kritesh Rauniyar, Usman Naseem, Imran Razzak:
Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines. CoRR abs/2306.14764 (2023) - [i16]Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin, Yixuan Liu, Shaozhou Wang, Qingyuan Linghu, Chunyu Kit, Clara Grazian, Wenjie Zhang, Imran Razzak, Bram Hoex:
DARWIN Series: Domain Specific Large Language Models for Natural Science. CoRR abs/2308.13565 (2023) - [i15]Tariq Mahmood Khan, Muhammad Arsalan, Shahzaib Iqbal, Imran Razzak, Erik Meijering:
Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation. CoRR abs/2309.03535 (2023) - 2022
- [j81]Pervaiz Iqbal Khan, Shoaib Ahmed Siddiqui, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training. IEEE Access 10: 87900-87910 (2022) - [j80]Tariq Mahmood Khan, Mohammad A. U. Khan, Naveed ur Rehman, Khuram Naveed, Imran Uddin Afridi, Syed Saud Naqvi, Imran Razzak:
Width-wise vessel bifurcation for improved retinal vessel segmentation. Biomed. Signal Process. Control. 71(Part): 103169 (2022) - [j79]Emad-ul-Haq Qazi, Muhammad Imran, Noman Haider, Muhammad Shoaib, Imran Razzak:
An intelligent and efficient network intrusion detection system using deep learning. Comput. Electr. Eng. 99: 107764 (2022) - [j78]Izhar Ahmed Khan, Nour Moustafa, Imran Razzak, Muhammad Tanveer, Dechang Pi, Yue Pan, Bakht Sher Ali:
XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks. Future Gener. Comput. Syst. 127: 181-193 (2022) - [j77]Imran Razzak, Nour Moustafa, Shahid Mumtaz, Guangdong Xu:
One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data. Int. J. Intell. Syst. 37(8): 4515-4536 (2022) - [j76]Imran Razzak, Saeeda Naz, Abida Ashraf, Fahmi Khalifa, Mohamed Reda Bouadjenek, Shahid Mumtaz:
Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data. Int. J. Intell. Syst. 37(10): 6613-6630 (2022) - [j75]Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Imran Razzak, Mehmet A. Orgun, Mehdi Elahi:
A Convolutional Attention Network for Unifying General and Sequential Recommenders. Inf. Process. Manag. 59(1): 102755 (2022) - [j74]Abdul Qayyum, Imran Razzak, Nour Moustafa, Moona Mazher:
Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children. Image Vis. Comput. 119: 104375 (2022) - [j73]Arshia Rehman, Saeeda Naz, Imran Razzak:
Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities. Multim. Syst. 28(4): 1339-1371 (2022) - [j72]Hajer Ghodhbani, Mohamed Neji, Imran Razzak, Adel M. Alimi:
You can try without visiting: a comprehensive survey on virtually try-on outfits. Multim. Tools Appl. 81(14): 19967-19998 (2022) - [j71]Imran Razzak, Peter W. Eklund, Guandong Xu:
Improving healthcare outcomes using multimedia big data analytics. Neural Comput. Appl. 34(17): 15095-15097 (2022) - [j70]Rizwan Ali Naqvi, Muhammad Arsalan, Talha Qaiser, Tariq Mahmood Khan, Imran Razzak:
Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications. Sensors 22(20): 8058 (2022) - [j69]Sajid Anwar, Abdul Rauf, Muhammad Ramzan, Imran Razzak, Mehrdad Saadatmand:
NLP-SEA 2021 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 47(2): 15-16 (2022) - [j68]Imran Razzak, Saeeda Naz:
Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1225-1234 (2022) - [j67]Md Abdur Rahim, Md. Arafatur Rahman, Md. Mustafizur Rahman, Nafees Zaman, Nour Moustafa, Imran Razzak:
An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health. IEEE Trans. Green Commun. Netw. 6(3): 1298-1306 (2022) - [j66]Imran Razzak, Guandong Xu, Muhammad Khurram Khan:
Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures. IEEE Trans. Ind. Informatics 18(5): 3449-3451 (2022) - [j65]Joseph Henry Anajemba, Celestine Iwendi, Imran Razzak, James Adu Ansere, Izuchukwu Michael Okpalaoguchi:
A Counter-Eavesdropping Technique for Optimized Privacy of Wireless Industrial IoT Communications. IEEE Trans. Ind. Informatics 18(9): 6445-6454 (2022) - [j64]Iman Beheshti, M. A. Ganaie, Vardhan Paliwal, Aryan Rastogi, Imran Razzak, Muhammad Tanveer:
Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation. IEEE J. Biomed. Health Informatics 26(4): 1432-1440 (2022) - [j63]Muhammad Tanveer, Ashraf Haroon Rashid, M. A. Ganaie, Motahar Reza, Imran Razzak, Kai-Lung Hua:
Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning. IEEE J. Biomed. Health Informatics 26(4): 1453-1463 (2022) - [j62]Jiun-Da Lin, Hung-Hsiang Lin, Jilyan Bianca Dy, Jun-Cheng Chen, Mohammad Tanveer, Imran Razzak, Kai-Lung Hua:
Lightweight Face Anti-Spoofing Network for Telehealth Applications. IEEE J. Biomed. Health Informatics 26(5): 1987-1996 (2022) - [j61]Mahmuda Akter, Nour Moustafa, Timothy M. Lynar, Imran Razzak:
Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems. IEEE J. Biomed. Health Informatics 26(12): 5805-5816 (2022) - [j60]Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Imran Razzak, Karam M. Sallam, Osama M. Elkomy:
Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems. IEEE Trans. Intell. Transp. Syst. 23(3): 2523-2537 (2022) - [j59]Zhili Zhou, Akshat Gaurav, Brij Bhooshan Gupta, Miltiadis D. Lytras, Imran Razzak:
A Fine-Grained Access Control and Security Approach for Intelligent Vehicular Transport in 6G Communication System. IEEE Trans. Intell. Transp. Syst. 23(7): 9726-9735 (2022) - [j58]Mohiuddin Ahmed, Nour Moustafa, A. F. M. Suaib Akhter, Imran Razzak, Ehsanuzzaman Surid, Adnan Anwar, A. F. M. Shahen Shah, Ahmet Zengin:
A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET. IEEE Trans. Intell. Transp. Syst. 23(10): 19624-19633 (2022) - [j57]Md. Arafatur Rahman, Md Abdur Rahim, Md. Mustafizur Rahman, Nour Moustafa, Imran Razzak, Tanvir Ahmad, Mohammad N. Patwary:
A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics. IEEE Trans. Intell. Transp. Syst. 23(10): 19727-19742 (2022) - [j56]Md. Arafatur Rahman, Marufa Yasmin Mukta, A. Taufiq Asyhari, Nour Moustafa, Mohammad N. Patwary, Abu Yousuf, Imran Razzak, Brij B. Gupta:
Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management. IEEE Trans. Intell. Transp. Syst. 23(12): 23771-23780 (2022) - [j55]Sara Salim, Nour Moustafa, Benjamin P. Turnbull, Imran Razzak:
Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks. ACM Trans. Multim. Comput. Commun. Appl. 18(2s): 120:1-120:19 (2022) - [j54]Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu:
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. World Wide Web 25(1): 281-304 (2022) - [c44]Surendrabikram Thapa, Aditya Shah, Farhan Jafri, Usman Naseem, Imran Razzak:
A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict. CASE@EMNLP 2022: 1-6 - [c43]Tanya Boone-Sifuentes, Mohamed Reda Bouadjenek, Imran Razzak, Hakim Hacid, Asef Nazari:
A Mask-based Output Layer for Multi-level Hierarchical Classification. CIKM 2022: 3833-3837 - [c42]Tanya Boone-Sifuentes, Asef Nazari, Imran Razzak, Mohamed Reda Bouadjenek, Antonio Robles-Kelly, Daniel Ierodiaconou, Elizabeth S. Oh:
Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification. CIKM 2022: 3838-3842 - [c41]Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets. ICANN (2) 2022: 136-147 - [c40]Sheldon Fung, Xuequan Lu, Mantas Mykolaitis, Imran Razzak, Gediminas Kostkevicius, Domantas Ozerenskis:
Anatomical Landmarks Localization for 3D Foot Point Clouds. ICONIP (3) 2022: 627-638 - [c39]Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Ali Hassani, Imran Razzak, Kevin Lee, Chetan Arora, Arkady B. Zaslavsky:
Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment. MDM 2022: 318-321 - [c38]Abdul Qayyum, Moona Mazher, Steven A. Niederer, Imran Razzak:
Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision. CuRIOUS/KiPA/MELA@MICCAI 2022: 55-62 - [c37]Abdul Qayyum, Moona Mazher, Steven A. Niederer, Fabrice Mériaudeau, Imran Razzak:
Automatic Cardiac Magnetic Resonance Respiratory Motions Assessment and Segmentation. STACOM@MICCAI 2022: 485-493 - [i14]Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Imran Razzak, Kevin Lee, Chetan Arora, Ali Hassani, Arkady B. Zaslavsky:
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey. CoRR abs/2202.10594 (2022) - [i13]Pervaiz Iqbal Khan, Shoaib Ahmed Siddiqui, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training. CoRR abs/2203.01895 (2022) - [i12]Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets. CoRR abs/2204.06337 (2022) - 2021
- [j53]Muhammad Zeeshan Khan, Muhammad Usman Ghani Khan, Tanzila Saba, Imran Razzak, Amjad Rehman, Saeed Ali Bahaj:
Hot-Spot Zone Detection to Tackle Covid19 Spread by Fusing the Traditional Machine Learning and Deep Learning Approaches of Computer Vision. IEEE Access 9: 100040-100049 (2021) - [j52]Deepak Kumar Sharma, Tarun Dhankhar, Gaurav Agrawal, Satish Kumar Singh, Deepak Gupta, Jamel Nebhen, Imran Razzak:
Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks. Ad Hoc Networks 121: 102603 (2021) - [j51]Amir Afaq, Noman Haider, Muhammad Zeeshan Baig, Komal Saifullah Khan, Muhammad Imran, Imran Razzak:
Machine learning for 5G security: Architecture, recent advances, and challenges. Ad Hoc Networks 123: 102667 (2021) - [j50]Imran Razzak, Roberto Perez-Franco, Peter W. Eklund:
Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management: Deadline for Manuscript Submission: February 26, 2022. Big Data 9(4): 328-329 (2021) - [j49]Imran Razzak, Roberto Perez-Franco, Peter W. Eklund:
Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management: Deadline for Manuscript Submission: February 26, 2022. Big Data 9(5): 406-407 (2021) - [j48]Imran Razzak, Roberto Perez-Franco, Peter W. Eklund:
Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management: Deadline for Manuscript Submission: February 26, 2022. Big Data 9(6): 411-412 (2021) - [j47]Brij B. Gupta, Krishna Yadav, Imran Razzak, Konstantinos E. Psannis, Arcangelo Castiglione, Xiaojun Chang:
A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment. Comput. Commun. 175: 47-57 (2021) - [j46]Mohammad Ammad Uddin, Muhammad Ayaz, Ali Mansour, El-Hadi M. Aggoune, Ahmad Hani El Fawal, Imran Razzak:
Ground target finding mechanism for unmanned aerial vehicles to secure crop field data. Trans. Emerg. Telecommun. Technol. 32(3) (2021) - [j45]Shah Khalid Khan, Usman Naseem, Haris Siraj, Imran Razzak, Muhammad Imran:
The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges. Trans. Emerg. Telecommun. Technol. 32(7) (2021) - [j44]Iqra Kamran, Saeeda Naz, Imran Razzak, Muhammad Imran:
Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease. Future Gener. Comput. Syst. 117: 234-244 (2021) - [j43]Waqas Yousaf, Arif Iqbal Umar, Syed Hamad Shirazi, Zakir Khan, Imran Razzak, Mubina Zaka:
Patch-CNN: Deep learning for logo detection and brand recognition. J. Intell. Fuzzy Syst. 40(3): 3849-3862 (2021) - [j42]Abida Ashraf, Saeeda Naz, Syed Hamad Shirazi, Imran Razzak, Mukesh Prasad:
Deep transfer learning for alzheimer neurological disorder detection. Multim. Tools Appl. 80(20): 30117-30142 (2021) - [j41]Usman Naseem, Imran Razzak, Peter W. Eklund:
A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter. Multim. Tools Appl. 80(28-29): 35239-35266 (2021) - [j40]Muhammad Usama, Qutaibah M. Malluhi, Nordin Zakaria, Imran Razzak, Waheed Iqbal:
An efficient secure data compression technique based on chaos and adaptive Huffman coding. Peer-to-Peer Netw. Appl. 14(5): 2651-2664 (2021) - [j39]Mohammad Ammad Uddin, Muhammad Ayaz, Ali Mansour, El-Hadi M. Aggoune, Zubair Sharif, Imran Razzak:
Cloud-connected flying edge computing for smart agriculture. Peer-to-Peer Netw. Appl. 14(6): 3405-3415 (2021) - [j38]Riaz Ahmad, Saeeda Naz, Imran Razzak:
Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms. Pattern Recognit. Lett. 152: 93-99 (2021) - [j37]Asad Masood Khattak, Anam Habib, Muhammad Zubair Asghar, Fazli Subhan, Imran Razzak, Ammara Habib:
Applying deep neural networks for user intention identification. Soft Comput. 25(3): 2191-2220 (2021) - [j36]Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad:
A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(5): 74:1-74:35 (2021) - [j35]Jun Jason Zhang, Fei-Yue Wang, Yong Yuan, Guandong Xu, Huan Liu, Wei Gao, Shoaib Jameel, Imran Razzak, Peter W. Eklund, Sheraz Ahmed, Rui Qin, Juanjuan Li, Xiao Wang, De-Nian Yang, Damla Turgut, Abderrahim Benslimane, Neeli Prasad, Kwang-Cheng Chen:
Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. IEEE Trans. Comput. Soc. Syst. 8(4): 928-929 (2021) - [j34]Usman Naseem, Imran Razzak, Matloob Khushi, Peter W. Eklund, Jinman Kim:
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. IEEE Trans. Comput. Soc. Syst. 8(4): 1003-1015 (2021) - [c36]Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu:
ExVis: Explainable Visual Decision Support System for Risk Management. BESC 2021: 1-5 - [c35]Sunil Aryal, Arbind Agrahari Baniya, Imran Razzak, KC Santosh:
SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms. IJCNN 2021: 1-7 - [c34]Atish Kumar Dipongkor, Md. Saiful Islam, Humayun Kayesh, Md. Shafaeat Hossain, Adnan Anwar, Khandaker Abir Rahman, Imran Razzak:
DAAB: Deep Authorship Attribution in Bengali. IJCNN 2021: 1-9 - [c33]Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. IJCNN 2021: 1-8 - [c32]Iram Jawad, Jawad Ahmed, Imran Razzak, Robin Doss:
Identifying DNS Exfiltration based on Lexical Attributes of Query Name. IJCNN 2021: 1-7 - [c31]Asma Kausar, Imran Razzak, Mohd Ibrahim Shapiai, Riyad Alshammari:
An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium. IJCNN 2021: 1-8 - [c30]Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. IJCNN 2021: 1-7 - [c29]Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly:
RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection. IJCNN 2021: 1-6 - [c28]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. SIGIR 2021: 133-142 - [i11]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media. CoRR abs/2105.10878 (2021) - [i10]Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Understanding Information Spreading Mechanisms During COVID-19 Pandemic by Analyzing the Impact of Tweet Text and User Features for Retweet Prediction. CoRR abs/2106.07344 (2021) - [i9]Taige Zhao, Xiangyu Song, Jianxin Li, Wei Luo, Imran Razzak:
Distributed Optimization of Graph Convolutional Network using Subgraph Variance. CoRR abs/2110.02987 (2021) - 2020
- [b2]Saad Bin Ahmed, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Script Text Recognition in Natural Scene Images - Arabic Text Complexities. Springer 2020, ISBN 978-981-15-1296-4, pp. 1-111 - [j33]Amit Saxena, Shreya Pare, Mahendra Singh Meena, Deepak Gupta, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad:
A Two-Phase Approach for Semi-Supervised Feature Selection. Algorithms 13(9): 215 (2020) - [j32]Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak, Faiza Akram, Muhammad Imran:
A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning. Circuits Syst. Signal Process. 39(2): 757-775 (2020) - [j31]Saeeda Naz, Naila Habib Khan, Shizza Zahoor, Muhammad Imran Razzak:
Deep OCR for Arabic script-based language like Pastho. Expert Syst. J. Knowl. Eng. 37(5) (2020) - [j30]Imran Razzak, Khurram Zafar, Muhammad Imran, Guandong Xu:
Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data. Future Gener. Comput. Syst. 112: 715-723 (2020) - [j29]Usman Naseem, Imran Razzak, Katarzyna Musial, Muhammad Imran:
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis. Future Gener. Comput. Syst. 113: 58-69 (2020) - [j28]Shizza Zahoor, Saeeda Naz, Naila Habib Khan, Muhammad Imran Razzak:
Deep optical character recognition: a case of Pashto language. J. Electronic Imaging 29(2): 023002 (2020) - [j27]Amina Naseer, Monail Rani, Saeeda Naz, Muhammad Imran Razzak, Muhammad Imran, Guandong Xu:
Refining Parkinson's neurological disorder identification through deep transfer learning. Neural Comput. Appl. 32(3): 839-854 (2020) - [j26]Muhammad Imran Razzak, Muhammad Imran, Guandong Xu:
Big data analytics for preventive medicine. Neural Comput. Appl. 32(9): 4417-4451 (2020) - [j25]Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu:
Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection. Neural Networks 121: 441-451 (2020) - [c27]Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu:
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. BESC 2020: 1-4 - [c26]Zafar Saeed, Rabeeh Ayaz Abbasi, Imran Razzak:
EveSense: What Can You Sense from Twitter? ECIR (2) 2020: 491-495 - [c25]Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly:
RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents. ICONIP (5) 2020: 172-179 - [c24]Abdul Qayyum, Imran Razzak, Wajid Mumtaz:
Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals. ICONIP (3) 2020: 245-257 - [c23]Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning. ICONIP (1) 2020: 776-785 - [c22]Saad Bin Ahmed, Saeeda Naz, Imran Razzak, Mukesh Prasad:
Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. IJCNN 2020: 1-6 - [c21]Ahlam Alnefaie, Deepak Gupta, Monowar H. Bhuyan, Imran Razzak, Prashant Gupta, Mukesh Prasad:
End-to-End Analysis for Text Detection and Recognition in Natural Scene Images. IJCNN 2020: 1-8 - [c20]Usman Naseem, Imran Razzak, Peter W. Eklund, Katarzyna Musial:
Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm. IJCNN 2020: 1-7 - [c19]Imran Razzak:
Cooperative Evolution Multiclass Support Matrix Machines. IJCNN 2020: 1-8 - [c18]Imran Razzak, Tariq Mahmood Khan:
One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection. IJCNN 2020: 1-8 - [c17]Imran Razzak, Iqra Kamran, Saeeda Naz:
Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders. IJCNN 2020: 1-6 - [c16]Imran Razzak, Ghosia Shoukat, Saeeda Naz, Tariq Mahmood Khan:
Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network. IJCNN 2020: 1-8 - [c15]Syeda Alleena Riaz, Saeeda Naz, Imran Razzak:
Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image. IJCNN 2020: 1-7 - [c14]Abdul Qayyum, Imran Razzak:
Deep Residual Neural Network for Child's Spontaneous Facial Expressions Recognition. S+SSPR 2020: 282-291 - [i8]Arshia Rehman, Saeeda Naz, Imran Razzak:
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities. CoRR abs/2004.09010 (2020) - [i7]Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. CoRR abs/2009.09223 (2020) - [i6]Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad:
A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models. CoRR abs/2010.15036 (2020)
2010 – 2019
- 2019
- [b1]Muhammad Imran Razzak:
Sparse Support Matrix Machines for the Classification of Corrupted Data. University of Technology Sydney, Australia, 2019 - [j24]Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak, Ibrahim A. Hameed:
Automatic Visual Features for Writer Identification: A Deep Learning Approach. IEEE Access 7: 17149-17157 (2019) - [j23]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Bte Yusof:
A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions. IEEE Access 7: 19801-19820 (2019) - [j22]Saad Bin Ahmed, Ibrahim A. Hameed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience. IEEE Access 7: 153566-153578 (2019) - [j21]Arshia Rehman, Saeeda Naz, Usman Naseem, Imran Razzak, Ibrahim A. Hameed:
Deep AutoEncoder-Decoder Framework for Semantic Segmentation of Brain Tumor. Aust. J. Intell. Inf. Process. Syst. 15(3): 53-60 (2019) - [j20]Usman Naseem, Imran Razzak, Ibrahim A. Hameed:
Deep Context-Aware Embedding for Abusive and Hate Speech detection on Twitter. Aust. J. Intell. Inf. Process. Syst. 15(3): 69-76 (2019) - [j19]Imran Razzak, Usman Naseem, Saeeda Naz, Ibrahim A. Hameed:
Nuclear Norm Minimization in Frequency Domain for Complex Noise. Aust. J. Intell. Inf. Process. Syst. 16(2): 69-77 (2019) - [j18]Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu:
Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]. IEEE Comput. Intell. Mag. 14(3): 29-38 (2019) - [j17]Zafar Saeed, Rabeeh Ayaz Abbasi, Imran Razzak, Onaiza Maqbool, Abida Sadaf, Guandong Xu:
Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks. Expert Syst. Appl. 136: 115-132 (2019) - [j16]Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu:
What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter. J. Grid Comput. 17(2): 279-312 (2019) - [j15]Muhammad Zubair Asghar, Muhammad Imran Razzak, Shafqat Mumtaz Virk:
A Special Section on Social Computing in Health Informatics. J. Medical Imaging Health Informatics 9(6): 1167-1170 (2019) - [j14]Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak:
Writer identification using machine learning approaches: a comprehensive review. Multim. Tools Appl. 78(8): 10889-10931 (2019) - [j13]Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak:
Handwritten Urdu character recognition using one-dimensional BLSTM classifier. Neural Comput. Appl. 31(4): 1143-1151 (2019) - [j12]Muhammad Imran Razzak, Muhammad Imran, Guandong Xu:
Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks. IEEE J. Biomed. Health Informatics 23(5): 1911-1919 (2019) - [c13]Usman Naseem, Shah Khalid Khan, Imran Razzak, Ibrahim A. Hameed:
Hybrid Words Representation for Airlines Sentiment Analysis. Australasian Conference on Artificial Intelligence 2019: 381-392 - [p2]Sana Saeed, Saeeda Naz, Muhammad Imran Razzak:
An Application of Deep Learning in Character Recognition: An Overview. Handbook of Deep Learning Applications 2019: 53-81 - [i5]Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu:
Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach. CoRR abs/1902.08522 (2019) - 2018
- [j11]Syed Hamad Shirazi, Arif Iqbal Umar, Nuhman ul Haq, Saeeda Naz, Muhammad Imran Razzak, Ahmad Zaib:
Extreme learning machine based microscopic red blood cells classification. Clust. Comput. 21(1): 691-701 (2018) - [c12]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. ICONIP (1) 2018: 307-318 - [c11]Muhammad Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu:
Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA. IJCNN 2018: 1-7 - [c10]Zafar Saeed, Rabeeh Ayaz Abbasi, Abida Sadaf, Muhammad Imran Razzak, Guandong Xu:
Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter. PAKDD (2) 2018: 534-545 - [i4]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. CoRR abs/1809.10792 (2018) - 2017
- [j10]Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak, Arif Iqbal Umar:
UCOM offline dataset-an urdu handwritten dataset generation. Int. Arab J. Inf. Technol. 14(2): 239-245 (2017) - [j9]Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Imran Siddiqi, Saad Bin Ahmed, Muhammad Imran Razzak, Faisal Shafait:
Urdu Nastaliq recognition using convolutional-recursive deep learning. Neurocomputing 243: 80-87 (2017) - [j8]Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Saad Bin Ahmed, Syed Hamad Shirazi, Muhammad Imran Razzak:
Urdu Nasta'liq text recognition system based on multi-dimensional recurrent neural network and statistical features. Neural Comput. Appl. 28(2): 219-231 (2017) - [c9]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yousaf:
Deep learning based isolated Arabic scene character recognition. ASAR 2017: 46-51 - [c8]Muhammad Imran Razzak, Saeeda Naz:
Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning. CVPR Workshops 2017: 801-807 - [e2]Yves Demazeau, Jianbo Gao, Guandong Xu, Jaroslaw Kozlak, Klaus Müller, Imran Razzak, Hao Chen, Yanhui Gu:
2017 International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017, Krakow, Poland, October 16-18, 2017. IEEE 2017, ISBN 978-1-5386-2365-7 [contents] - [e1]Abdelkader Hameurlain, Josef Küng, Roland R. Wagner, Sherif Sakr, Imran Razzak, Riyad Alshammari:
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV. Lecture Notes in Computer Science 10680, Springer 2017, ISBN 978-3-662-56120-1 [contents] - [i3]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yousaf:
Deep Learning based Isolated Arabic Scene Character Recognition. CoRR abs/1704.06821 (2017) - [i2]Muhammad Imran Razzak, Saeeda Naz, Ahmad Zaib:
Deep Learning for Medical Image Processing: Overview, Challenges and Future. CoRR abs/1704.06825 (2017) - [i1]Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak:
Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier. CoRR abs/1705.05455 (2017) - 2016
- [j7]Saeeda Naz, Arif Iqbal Umar, Syed Hamad Shirazi, Saad Bin Ahmed, Muhammad Imran Razzak, Imran Siddiqi:
Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey. Educ. Inf. Technol. 21(5): 1225-1241 (2016) - [j6]Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Saad Bin Ahmed, Syed Hamad Shirazi, Imran Siddiqi, Muhammad Imran Razzak:
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks. Neurocomputing 177: 228-241 (2016) - [j5]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Shiekh Faisal Rashid, Muhammad Zeeshan Afzal, Thomas M. Breuel:
Evaluation of cursive and non-cursive scripts using recurrent neural networks. Neural Comput. Appl. 27(3): 603-613 (2016) - [c7]Saad Bin Ahmed, Muhammad Imran Razzak, Bandar Alhaqbani:
The Minutiae Based Latent Fingerprint Recognition System. ICC 2016 2016: 49:1-49:9 - [c6]Saeeda Naz, Saad Bin Ahmed, Riaz Ahmad, Muhammad Imran Razzak:
Zoning Features and 2DLSTM for Urdu Text-line Recognition. KES 2016: 16-22 - [c5]Mohammad Waqialla, Muhammad Imran Razzak:
An Ontology-based Framework Aiming to Support Cardiac Rehabilitation Program. KES 2016: 23-32 - 2015
- [j4]Muhammad Imran Razzak, Bandar Alhaqbani:
Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling. Neural Comput. Appl. 26(5): 1117-1127 (2015) - [c4]Syed Hamad Shirazi, Arif Iqbal Umar, Nuhman ul Haq, Saeeda Naz, Muhammad Imran Razzak:
Accurate Microscopic Red Blood Cell Image Enhancement and Segmentation. IWBBIO (1) 2015: 183-192 - 2014
- [j3]Saeeda Naz, Khizar Hayat, Muhammad Imran Razzak, Muhammad Waqas Anwar, Sajjad Ahmad Madani, Samee Ullah Khan:
The optical character recognition of Urdu-like cursive scripts. Pattern Recognit. 47(3): 1229-1248 (2014) - [p1]Abdel Belaïd, Mohamed Imran Razzak:
Middle Eastern Character Recognition. Handbook of Document Image Processing and Recognition 2014: 427-457 - 2011
- [j2]Muhammad Imran Razzak, Muhammad Khurram Khan, Khaled Alghathbar, Jong Hyuk Park:
Energy Efficient Distributed Face Recognition in Wireless Sensor Network. Wirel. Pers. Commun. 60(3): 571-582 (2011) - 2010
- [j1]Muhammad Imran Razzak, Fareeha Anwar, S. Afaq Husain, Abdel Belaïd, Muhammad Sher:
HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages' character recognition. Knowl. Based Syst. 23(8): 914-923 (2010) - [c3]Muhammad Imran Razzak, Muhammad Khurram Khan, Khaled Alghathbar, Rubiyah Yousaf:
Face Recognition using Layered Linear Discriminant Analysis and Small Subspace. CIT 2010: 1407-1412 - [c2]Muhammad Imran Razzak, Muhammad Khurram Khan, Khaled Alghathbar:
Contactless Biometrics in Wireless Sensor Network: A Survey. FGIT-SecTech/DRBC 2010: 236-243 - [c1]Muhammad Imran Razzak, Muhammad Khurram Khan, Khaled Alghathbar:
Bio-inspired Hybrid Face Recognition System for Small Sample Size and Large Dataset. IIH-MSP 2010: 384-388
Coauthor Index
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