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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
- 2023
[j96]Wu He, Guandong Xu, Imran Razzak:
Social responses to the COVID-19 pandemic. Behav. Inf. Technol. 42(2): 171-173 (2023)- [j95]Syed Saud Naqvi, Zubair Akhtar Langah, Haroon Ahmed Khan, Majid Iqbal Khan, Tariq Bashir, Muhammad Imran Razzak, Tariq Mahmood Khan
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GLAN: GAN Assisted Lightweight Attention Network for Biomedical Imaging Based Diagnostics. Cogn. Comput. 15(3): 932-942 (2023) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [i17]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) - [i16]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) - [i15]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) - 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 Saadatmad:
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 Parsad:
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]