Dr Imran Razzak

2022, Proceedings of International Conference on Information Technology and Applications, Springer Nature Singapore, http://dx.doi.org/10.1007/978-981-16-7618-5

Khan PI; Razzak I; Dengel A; Ahmed S, 2022, 'A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 136 - 147, http://dx.doi.org/10.1007/978-3-031-15931-2_12

Rehman A; Naz S; Khan A; Zaib A; Razzak I, 2022, 'Improving Coronavirus (COVID-19) Diagnosis Using Deep Transfer Learning', in , pp. 23 - 37, http://dx.doi.org/10.1007/978-981-16-7618-5_3

Qayyum A; Razzak I, 2021, 'Deep Residual Neural Network for Child’s Spontaneous Facial Expressions Recognition', in Lecture Notes in Computer Science, Springer International Publishing, pp. 282 - 291, http://dx.doi.org/10.1007/978-3-030-73973-7_27

Khan PI; Razzak I; Dengel A; Ahmed S, 2020, 'Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning', in Neural Information Processing, Springer International Publishing, pp. 776 - 785, http://dx.doi.org/10.1007/978-3-030-63830-6_65

Qayyum A; Razzak I; Mumtaz W, 2020, 'Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals', in , pp. 245 - 257, http://dx.doi.org/10.1007/978-3-030-63836-8_21

Rashid AH; Razzak I; Tanveer M; Robles-Kelly A, 2020, 'RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents', in , pp. 172 - 179, http://dx.doi.org/10.1007/978-3-030-63823-8_21

Saeed Z; Ayaz Abbasi R; Razzak I, 2020, 'EveSense: What can you sense from Twitter?', in , pp. 491 - 495, http://dx.doi.org/10.1007/978-3-030-45442-5_64

Saeed S; Naz S; Razzak MI, 2019, 'An application of deep learning in character recognition: An overview', in Smart Innovation, Systems and Technologies, pp. 53 - 81, http://dx.doi.org/10.1007/978-3-030-11479-4_3

Razzak MI; Naz S; Zaib A, 2018, 'Deep learning for medical image processing: Overview, challenges and the future', in Lecture Notes in Computational Vision and Biomechanics, pp. 323 - 350, http://dx.doi.org/10.1007/978-3-319-65981-7_12

Shirazi SH; Naz S; Razzak MI; Umar AI; Zaib A, 2018, 'Automated pathology image analysis', in Soft Computing Based Medical Image Analysis, pp. 13 - 29, http://dx.doi.org/10.1016/B978-0-12-813087-2.00026-9

Belaíd A; Razzak MI, 2014, 'Middle eastern character recognition', in Handbook of Document Image Processing and Recognition, pp. 427 - 457, http://dx.doi.org/10.1007/978-0-85729-859-1_13

Abdel-Basset M; Moustafa N; Hawash H; Razzak I; Sallam KM; Elkomy OM, 2022, 'Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems', IEEE Transactions on Intelligent Transportation Systems, vol. 23, pp. 2523 - 2537, http://dx.doi.org/10.1109/TITS.2021.3119968

Akter M; Moustafa N; Lynar T; Razzak I, 2022, 'Edge Intelligence: Federated Learning-based Privacy Protection Framework for Smart Healthcare Systems', IEEE Journal of Biomedical and Health Informatics, vol. PP, pp. 1 - 11, http://dx.doi.org/10.1109/JBHI.2022.3192648

Alyasseri ZAA; Khader AT; Al-Betar MA; Yang XS; Mohammed MA; Abdulkareem KH; Kadry S; Razzak I, 2022, 'Multi-objective flower pollination algorithm: a new technique for EEG signal denoising', Neural Computing and Applications, http://dx.doi.org/10.1007/s00521-021-06757-2

Anajemba JH; Iwendi C; Razzak I; Ansere JA; Okpalaoguchi IM, 2022, 'A Counter-Eavesdropping Technique for Optimized Privacy of Wireless Industrial IoT Communications', IEEE Transactions on Industrial Informatics, vol. 18, pp. 6445 - 6454, http://dx.doi.org/10.1109/TII.2021.3140109

Anwar S; Rauf A; Ramzan M; Razzak I; Saadatmad M, 2022, 'NLP-SEA 2021 Workshop Summary', ACM SIGSOFT Software Engineering Notes, vol. 47, pp. 15 - 16, http://dx.doi.org/10.1145/3520273.3520279

Asim MN; Ibrahim MA; Malik MI; Razzak I; Dengel A; Ahmed S, 2022, 'Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction', Complex and Intelligent Systems, http://dx.doi.org/10.1007/s40747-022-00802-w

Ayaz Z; Naz S; Khan NH; Razzak I; Imran M, 2022, 'Automated methods for diagnosis of Parkinson’s disease and predicting severity level', Neural Computing and Applications, http://dx.doi.org/10.1007/s00521-021-06626-y

Beheshti I; Ganaie MA; Paliwal V; Rastogi A; Razzak I; Tanveer M, 2022, 'Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation', IEEE Journal of Biomedical and Health Informatics, vol. 26, pp. 1432 - 1440, http://dx.doi.org/10.1109/JBHI.2021.3083187

Daud A; Islam NU; Li X; Razzak I; Hayat MK, 2022, 'Identifying Rising Stars via Supervised Machine Learning', IEEE Transactions on Computational Social Systems, vol. PP, pp. 1 - 11, http://dx.doi.org/10.1109/TCSS.2022.3178070

Ghodhbani H; Neji M; Razzak I; Alimi AM, 2022, 'You can try without visiting: a comprehensive survey on virtually try-on outfits', Multimedia Tools and Applications, vol. 81, pp. 19967 - 19998, http://dx.doi.org/10.1007/s11042-022-12802-6

Hu J; Kaur K; Lin H; Wang X; Hassan MM; Razzak I; Hammoudeh M, 2022, 'Intelligent Anomaly Detection of Trajectories for IoT Empowered Maritime Transportation Systems', IEEE Transactions on Intelligent Transportation Systems, pp. 1 - 10, http://dx.doi.org/10.1109/TITS.2022.3162491

Islam MR; Razzak I; Wang X; Tilocca P; Xu G, 2022, 'Natural language interactions enhanced by data visualization to explore insurance claims and manage risk', Annals of Operations Research, http://dx.doi.org/10.1007/s10479-021-04465-7

Javed AR; Shahzad F; Rehman SU; Zikria YB; Razzak I; Jalil Z; Xu G, 2022, 'Future smart cities requirements, emerging technologies, applications, challenges, and future aspects', Cities, vol. 129, http://dx.doi.org/10.1016/j.cities.2022.103794

Khan F; Alturki R; Rehman MA; Mastorakis S; Razzak I; Shah ST, 2022, 'Trustworthy and Reliable Deep Learning-Based Cyberattack Detection in Industrial IoT', IEEE Transactions on Industrial Informatics, pp. 1 - 9, http://dx.doi.org/10.1109/TII.2022.3190352

Khan IA; Moustafa N; Razzak I; Tanveer M; Pi D; Pan Y; Ali BS, 2022, 'XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks', Future Generation Computer Systems, vol. 127, pp. 181 - 193, http://dx.doi.org/10.1016/j.future.2021.09.010

Khan PI; Razzak I; Dengel A; Ahmed S, 2022, 'Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification', IEEE Transactions on Computational Social Systems, pp. 1 - 10, http://dx.doi.org/10.1109/TCSS.2022.3143768

Khan PI; Siddiqui SA; Razzak I; Dengel A; Ahmed S, 2022, 'Improving Health Mention Classification of Social Media Content using Contrastive Adversarial Training', IEEE Access, pp. 1 - 1, http://dx.doi.org/10.1109/ACCESS.2022.3200159

Khan TM; Khan MAU; Rehman NU; Naveed K; Afridi IU; Naqvi SS; Raazak I, 2022, 'Width-wise vessel bifurcation for improved retinal vessel segmentation', Biomedical Signal Processing and Control, vol. 71, http://dx.doi.org/10.1016/j.bspc.2021.103169

Lakhan A; Mohammed MA; Rashid AN; Kadry S; Hameed Abdulkareem K; Nedoma J; Martinek R; Razzak I, 2022, 'Restricted Boltzmann machine Assisted Secure Serverless Edge System for Internet of Medical Things', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2022.3178660

Lefevre K; Arora C; Lee K; Zaslavsky A; Bouadjenek MR; Hassani A; Razzak I, 2022, 'ModelOps for enhanced decision-making and governance in emergency control rooms', Environment Systems and Decisions, http://dx.doi.org/10.1007/s10669-022-09855-1

Lin JD; Lin HH; Dy J; Chen JC; Tanveer M; Razzak I; Hua KL, 2022, 'Lightweight Face Anti-Spoofing Network for Telehealth Applications', IEEE Journal of Biomedical and Health Informatics, vol. 26, pp. 1987 - 1996, http://dx.doi.org/10.1109/JBHI.2021.3107735

Qayyum A; Mazher M; Nuhu A; Benzinou A; Malik AS; Razzak I, 2022, 'Assessment of physiological states from contactless face video: a sparse representation approach', Computing, http://dx.doi.org/10.1007/s00607-021-01028-3

Qayyum A; Razzak I; Moustafa N; Mazher M, 2022, 'Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children', Image and Vision Computing, vol. 119, http://dx.doi.org/10.1016/j.imavis.2022.104375

Qayyum A; Razzak I; Tanveer M; Mazher M, 2022, 'Spontaneous Facial Behavior Analysis using Deep Transformer Based Framework for Child–Computer Interaction', ACM Transactions on Multimedia Computing, Communications, and Applications, http://dx.doi.org/10.1145/3539577

Qazi EUH; Imran M; Haider N; Shoaib M; Razzak I, 2022, 'An intelligent and efficient network intrusion detection system using deep learning', Computers and Electrical Engineering, vol. 99, http://dx.doi.org/10.1016/j.compeleceng.2022.107764

Rahim MA; Rahman MA; Rahman MM; Zaman N; Moustafa N; Razzak I, 2022, 'An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health', IEEE Transactions on Green Communications and Networking, vol. 6, pp. 1298 - 1306, http://dx.doi.org/10.1109/TGCN.2022.3179350

Rahman MA; Mukta MY; Asyhari AT; Moustafa N; Patwary MN; Yousuf A; Razzak I; Gupta BB, 2022, 'Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management', IEEE Transactions on Intelligent Transportation Systems, pp. 1 - 10, http://dx.doi.org/10.1109/tits.2022.3203208

Rahman MA; Rahim MA; Rahman MM; Moustafa N; Razzak I; Ahmad T; Patwary MN, 2022, 'A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics', IEEE Transactions on Intelligent Transportation Systems, http://dx.doi.org/10.1109/TITS.2021.3138255

Rashid AH; Razzak I; Tanveer M; Hobbs M, 2022, 'Reducing rip current drowning: An improved residual based lightweight deep architecture for rip detection', ISA Transactions, http://dx.doi.org/10.1016/j.isatra.2022.05.015

Razzak I; Eklund P; Xu G, 2022, 'Improving healthcare outcomes using multimedia big data analytics', Neural Computing and Applications, vol. 34, pp. 15095 - 15097, http://dx.doi.org/10.1007/s00521-022-07397-w

Razzak I; Eklund P; Xu G, 2022, 'Introduction to the special section on securing IoT-based critical infrastructure (VSI-cei)', Computers and Electrical Engineering, vol. 101, http://dx.doi.org/10.1016/j.compeleceng.2022.108118

Razzak I; Naz S, 2022, 'Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification', IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 19, pp. 1225 - 1234, http://dx.doi.org/10.1109/TCBB.2020.3039358

Razzak I; Naz S; Ashraf A; Khalifa F; Bouadjenek MR; Mumtaz S, 2022, 'Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data', International Journal of Intelligent Systems, vol. 37, pp. 6613 - 6630, http://dx.doi.org/10.1002/int.22856

Razzak I; Xu G; Khan MK, 2022, 'Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures', IEEE Transactions on Industrial Informatics, vol. 18, pp. 3449 - 3451, http://dx.doi.org/10.1109/TII.2021.3128962

Rehman A; Razzak I; Xu G, 2022, 'Federated Learning for Privacy Preservation of Healthcare Data from Smartphone-based Side-Channel Attacks', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2022.3171852

Salim S; Moustafa N; Turnbull B; Razzak I, 2022, 'Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks', ACM Transactions on Multimedia Computing, Communications, and Applications, http://dx.doi.org/10.1145/3537899

Schiliro F; Moustafa N; Razzak I; Beheshti A, 2022, 'DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing', IEEE Transactions on Intelligent Transportation Systems, pp. 1 - 9, http://dx.doi.org/10.1109/TITS.2022.3166631

Sufi FK; Razzak I; Khalil I, 2022, 'Tracking Anti-Vax Social Movement Using AI based Social Media Monitoring', IEEE Transactions on Technology and Society, pp. 1 - 1, http://dx.doi.org/10.1109/tts.2022.3192757

Tanveer M; Rashid AH; Ganaie MA; Reza M; Razzak I; Hua KL, 2022, 'Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning', IEEE Journal of Biomedical and Health Informatics, vol. 26, pp. 1453 - 1463, http://dx.doi.org/10.1109/JBHI.2021.3083274

Yakhchi S; Behehsti A; Ghafari SM; Razzak I; Orgun M; Elahi M, 2022, 'A Convolutional Attention Network for Unifying General and Sequential Recommenders', Information Processing and Management, vol. 59, pp. 102755 - 102755, http://dx.doi.org/10.1016/j.ipm.2021.102755

Zogan H; Razzak I; Wang X; Jameel S; Xu G, 2022, 'Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media', World Wide Web, vol. 25, pp. 281 - 304, http://dx.doi.org/10.1007/s11280-021-00992-2

Afaq A; Haider N; Baig MZ; Khan KS; Imran M; Razzak I, 2021, 'Machine learning for 5G security: Architecture, recent advances, and challenges', Ad Hoc Networks, vol. 123, http://dx.doi.org/10.1016/j.adhoc.2021.102667

Ahmad R; Naz S; Razzak I, 2021, 'Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms', Pattern Recognition Letters, vol. 152, pp. 93 - 99, http://dx.doi.org/10.1016/j.patrec.2021.09.014

Ahmed M; Moustafa N; Akhter AFMS; Razzak I; Surid E; Anwar A; Shah AFMS; Zengin A, 2021, 'A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET', IEEE Transactions on Intelligent Transportation Systems, pp. 1 - 10, http://dx.doi.org/10.1109/TITS.2021.3115245

Ashraf A; Naz S; Shirazi SH; Razzak I; Parsad M, 2021, 'Deep transfer learning for alzheimer neurological disorder detection', Multimedia Tools and Applications, vol. 80, pp. 30117 - 30142, http://dx.doi.org/10.1007/s11042-020-10331-8

Gupta BB; Yadav K; Razzak I; Psannis K; Castiglione A; Chang X, 2021, 'A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment', Computer Communications, vol. 175, pp. 47 - 57, http://dx.doi.org/10.1016/j.comcom.2021.04.023

Islam MR; Liu S; Biddle R; Razzak I; Wang X; Tilocca P; Xu G, 2021, 'Discovering dynamic adverse behavior of policyholders in the life insurance industry', Technological Forecasting and Social Change, vol. 163, http://dx.doi.org/10.1016/j.techfore.2020.120486

Kamran I; Naz S; Razzak I; Imran M, 2021, 'Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease', Future Generation Computer Systems, vol. 117, pp. 234 - 244, http://dx.doi.org/10.1016/j.future.2020.11.020

Kausar A; Razzak I; Shapiai MI; Beheshti A, 2021, '3D shallow deep neural network for fast and precise segmentation of left atrium', Multimedia Systems, http://dx.doi.org/10.1007/s00530-021-00776-8

Khan MZ; Khan MUG; Saba T; Razzak I; Rehman A; Bahaj SA, 2021, 'Hot-Spot Zone Detection to Tackle Covid19 Spread by Fusing the Traditional Machine Learning and Deep Learning Approaches of Computer Vision', IEEE Access, vol. 9, pp. 100040 - 100049, http://dx.doi.org/10.1109/ACCESS.2021.3094720

Khan SK; Naseem U; Siraj H; Razzak I; Imran M, 2021, 'The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges', Transactions on Emerging Telecommunications Technologies, vol. 32, http://dx.doi.org/10.1002/ett.4241

Khattak A; Habib A; Asghar MZ; Subhan F; Razzak I; Habib A, 2021, 'Applying deep neural networks for user intention identification', Soft Computing, vol. 25, pp. 2191 - 2220, http://dx.doi.org/10.1007/s00500-020-05290-z

Naseem U; Razzak I; Eklund PW, 2021, 'A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter', Multimedia Tools and Applications, vol. 80, pp. 35239 - 35266, http://dx.doi.org/10.1007/s11042-020-10082-6

Naseem U; Razzak I; Khan SK; Prasad M, 2021, 'A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models', ACM Transactions on Asian and Low-Resource Language Information Processing, vol. 20, http://dx.doi.org/10.1145/3434237

Naseem U; Razzak I; Khushi M; Eklund PW; Kim J, 2021, 'COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis', IEEE Transactions on Computational Social Systems, vol. 8, pp. 976 - 988, http://dx.doi.org/10.1109/TCSS.2021.3051189

Nasser N; Emad-ul-Haq Q; Imran M; Ali A; Razzak I; Al-Helali A, 2021, 'A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing', Neural Computing and Applications, http://dx.doi.org/10.1007/s00521-021-06396-7

Qayyum A; Mazhar M; Razzak I; Bouadjenek MR, 2021, 'Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions', Neural Computing and Applications, http://dx.doi.org/10.1007/s00521-021-06636-w

Qayyum A; Razzak I; Malik AS; Anwar S, 2021, 'Fusion of CNN and sparse representation for threat estimation near power lines and poles infrastructure using aerial stereo imagery', Technological Forecasting and Social Change, vol. 168, http://dx.doi.org/10.1016/j.techfore.2021.120762

Qayyum A; Razzak I; Tanveer M; Kumar A, 2021, 'Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis', Annals of Operations Research, pp. 1 - 21, http://dx.doi.org/10.1007/s10479-021-04154-5

Razzak I; Moustafa N; Mumtaz S; Xu G, 2022, 'One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data', International Journal of Intelligent Systems, vol. 37, pp. 4515 - 4536, http://dx.doi.org/10.1002/int.22729

Razzak I; Perez-Franco R; Eklund P, 2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, vol. 9, pp. 328 - 329, http://dx.doi.org/10.1089/big.2021.29047.cfp

Razzak I; Perez-Franco R; Eklund P, 2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, vol. 9, pp. 406 - 407, http://dx.doi.org/10.1089/big.2021.29047.cfp2

Razzak I; Perez-Franco R; Eklund P, 2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, vol. 9, pp. 411 - 412, http://dx.doi.org/10.1089/big.2021.29047.cfp3

Rehman A; Naz S; Razzak I, 2022, 'Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities', Multimedia Systems, vol. 28, pp. 1339 - 1371, http://dx.doi.org/10.1007/s00530-020-00736-8

Sharif Z; Jung LT; Razzak I; Alazab M, 2021, 'Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing', IEEE Internet of Things Journal, pp. 1 - 1, http://dx.doi.org/10.1109/JIOT.2021.3111838

Sharma DK; Dhankhar T; Agrawal G; Singh SK; Gupta D; Nebhen J; Razzak I, 2021, 'Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks', Ad Hoc Networks, vol. 121, http://dx.doi.org/10.1016/j.adhoc.2021.102603

Uddin MA; Ayaz M; Mansour A; Aggoune EHM; El Fawal AH; Razzak I, 2021, 'Ground target finding mechanism for unmanned aerial vehicles to secure crop field data', Transactions on Emerging Telecommunications Technologies, vol. 32, http://dx.doi.org/10.1002/ett.4210

Uddin MA; Ayaz M; Mansour A; Aggoune EHM; Sharif Z; Razzak I, 2021, 'Cloud-connected flying edge computing for smart agriculture', Peer-to-Peer Networking and Applications, vol. 14, pp. 3405 - 3415, http://dx.doi.org/10.1007/s12083-021-01191-6

Usama M; Malluhi QM; Zakaria N; Razzak I; Iqbal W, 2021, 'An efficient secure data compression technique based on chaos and adaptive Huffman coding', Peer-to-Peer Networking and Applications, vol. 14, pp. 2651 - 2664, http://dx.doi.org/10.1007/s12083-020-00981-8

Yousaf W; Umar A; Shirazi SH; Khan Z; Razzak I; Zaka M, 2021, 'Patch-CNN: Deep learning for logo detection and brand recognition', Journal of Intelligent and Fuzzy Systems, vol. 40, pp. 3849 - 3862, http://dx.doi.org/10.3233/JIFS-190660

Zhang JJ; Wang FY; Yuan Y; Xu G; Liu H; Gao W; Jameel S; Razzak I; Eklund P; Ahmed S; Qin R; Li J; Wang X; Yang DN; Turgut D; Benslimane A; Prasad N; Chen KC, 2021, 'Guest Editorial Computational Social Systems for COVID-19 Emergency Management and beyond', IEEE Transactions on Computational Social Systems, vol. 8, pp. 928 - 929, http://dx.doi.org/10.1109/TCSS.2021.3095472

Zhou Z; Gaurav A; Gupta BB; Lytras MD; Razzak I, 2022, 'A Fine-Grained Access Control and Security Approach for Intelligent Vehicular Transport in 6G Communication System', IEEE Transactions on Intelligent Transportation Systems, vol. 23, pp. 9726 - 9735, http://dx.doi.org/10.1109/TITS.2021.3106825

Naseem U; Razzak I; Musial K; Imran M, 2020, 'Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis', Future Generation Computer Systems, vol. 113, pp. 58 - 69, http://dx.doi.org/10.1016/j.future.2020.06.050

Naseer A; Rani M; Naz S; Razzak MI; Imran M; Xu G, 2020, 'Refining Parkinson’s neurological disorder identification through deep transfer learning', Neural Computing and Applications, vol. 32, pp. 839 - 854, http://dx.doi.org/10.1007/s00521-019-04069-0

Naz S; Khan NH; Zahoor S; Razzak MI, 2020, 'Deep OCR for Arabic script-based language like Pastho', Expert Systems, vol. 37, http://dx.doi.org/10.1111/exsy.12565

Razzak I; Saris RA; Blumenstein M; Xu G, 2020, 'Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection', Neural Networks, vol. 121, pp. 441 - 451, http://dx.doi.org/10.1016/j.neunet.2019.08.030

Razzak I; Zafar K; Imran M; Xu G, 2020, 'Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data', Future Generation Computer Systems, vol. 112, pp. 715 - 723, http://dx.doi.org/10.1016/j.future.2020.05.045

Razzak MI; Imran M; Xu G, 2020, 'Big data analytics for preventive medicine', Neural Computing and Applications, vol. 32, pp. 4417 - 4451, http://dx.doi.org/10.1007/s00521-019-04095-y

Rehman A; Naz S; Razzak MI; Akram F; Imran M, 2020, 'A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning', Circuits, Systems, and Signal Processing, vol. 39, pp. 757 - 775, http://dx.doi.org/10.1007/s00034-019-01246-3

Saxena A; Pare S; Meena MS; Gupta D; Gupta A; Razzak I; Lin CT; Prasad M, 2020, 'A two-phase approach for semi-supervised feature selection', Algorithms, vol. 13, http://dx.doi.org/10.3390/A13090215

Zahoor S; Naz S; Khan NH; Razzak MI, 2020, 'Deep optical character recognition: A case of Pashto language', Journal of Electronic Imaging, vol. 29, http://dx.doi.org/10.1117/1.JEI.29.2.023002

Ahmed SB; Hameed IA; Naz S; Razzak MI; Yusof R, 2019, 'Evaluation of handwritten Urdu text by integration of MNIST dataset learning experience', IEEE Access, vol. 7, pp. 153566 - 153578, http://dx.doi.org/10.1109/ACCESS.2019.2946313

Ahmed SB; Naz S; Razzak MI; Yusof R, 2019, 'Arabic cursive text recognition from natural scene images', Applied Sciences (Switzerland), vol. 9, http://dx.doi.org/10.3390/app9020236

Ahmed SB; Naz S; Razzak MI; Yusof RB, 2019, 'A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions', IEEE Access, vol. 7, pp. 19801 - 19820, http://dx.doi.org/10.1109/ACCESS.2019.2895876

Ahmed SB; Naz S; Swati S; Razzak MI, 2019, 'Handwritten Urdu character recognition using one-dimensional BLSTM classifier', Neural Computing and Applications, vol. 31, pp. 1143 - 1151, http://dx.doi.org/10.1007/s00521-017-3146-x

Razzak I; Blumenstein M; Xu G, 2019, 'Multiclass Support Matrix Machines by Maximizing the Inter-Class Margin for Single Trial EEG Classification', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, pp. 1117 - 1127, http://dx.doi.org/10.1109/TNSRE.2019.2913142

Razzak I; Hameed IA; Xu G, 2019, 'Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals', IEEE Journal of Translational Engineering in Health and Medicine, vol. 7, pp. 2000508, http://dx.doi.org/10.1109/JTEHM.2019.2942017

Razzak MI; Imran M; Xu G, 2019, 'Efficient Brain Tumor Segmentation with Multiscale Two-Pathway-Group Conventional Neural Networks', IEEE Journal of Biomedical and Health Informatics, vol. 23, pp. 1911 - 1919, http://dx.doi.org/10.1109/JBHI.2018.2874033

Rehman A; Naz S; Razzak MI, 2019, 'Writer identification using machine learning approaches: a comprehensive review', Multimedia Tools and Applications, vol. 78, pp. 10889 - 10931, http://dx.doi.org/10.1007/s11042-018-6577-1

Rehman A; Naz S; Razzak MI; Hameed IA, 2019, 'Automatic Visual Features for Writer Identification: A Deep Learning Approach', IEEE Access, vol. 7, pp. 17149 - 17157, http://dx.doi.org/10.1109/ACCESS.2018.2890810

Saeed Z; Abbasi RA; Maqbool O; Sadaf A; Razzak I; Daud A; Aljohani NR; Xu G, 2019, 'What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter', Journal of Grid Computing, vol. 17, pp. 279 - 312, http://dx.doi.org/10.1007/s10723-019-09482-2

Saeed Z; Abbasi RA; Razzak I; Maqbool O; Sadaf A; Xu G, 2019, 'Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks', Expert Systems with Applications, vol. 136, pp. 115 - 132, http://dx.doi.org/10.1016/j.eswa.2019.06.005

Saeed Z; Ayaz Abbasi R; Razzak MI; Xu G, 2019, 'Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]', IEEE Computational Intelligence Magazine, vol. 14, pp. 29 - 38, http://dx.doi.org/10.1109/MCI.2019.2919395

Naz S; Umar AI; Ahmed SB; Ahmad R; Shirazi SH; Razzak MI; Zaman A, 2018, 'Statistical features extraction for character recognition using recurrent neural network', Pakistan Journal of Statistics, vol. 34, pp. 47 - 53

Bin Ahmed S; Naz S; Swati S; Razzak I; Umar AI; Ali Khan A, 2017, 'UCOM offline dataset-an Urdu handwritten dataset generation', International Arab Journal of Information Technology, vol. 14, pp. 239 - 245

Naz S; Umar AI; Ahmad R; Ahmed SB; Shirazi SH; Razzak MI, 2017, 'Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features', Neural Computing and Applications, vol. 28, pp. 219 - 231, http://dx.doi.org/10.1007/s00521-015-2051-4

Naz S; Umar AI; Ahmad R; Siddiqi I; Ahmed SB; Razzak MI; Shafait F, 2017, 'Urdu Nastaliq recognition using convolutional–recursive deep learning', Neurocomputing, vol. 243, pp. 80 - 87, http://dx.doi.org/10.1016/j.neucom.2017.02.081

Shirazi SH; Umar AI; Haq N; Naz S; Razzak MI; Zaib A, 2017, 'Extreme learning machine based microscopic red blood cells classification', Cluster Computing, vol. 21, pp. 691 - 701, http://dx.doi.org/10.1007/s10586-017-0978-1

Ahmed SB; Naz S; Razzak MI; Rashid SF; Afzal MZ; Breuel TM, 2016, 'Evaluation of cursive and non-cursive scripts using recurrent neural networks', Neural Computing and Applications, vol. 27, pp. 603 - 613, http://dx.doi.org/10.1007/s00521-015-1881-4

Al Asaimi AA; Razzak MI; Alshammari R, 2016, 'Developing ontology for RFID based infant protection system', Advanced Science Letters, vol. 22, pp. 2759 - 2763, http://dx.doi.org/10.1166/asl.2016.7085

Al Moamary E; Alshammari R; Razzak MI, 2016, 'Blood bank control system: An ontology', Advanced Science Letters, vol. 22, pp. 2822 - 2826, http://dx.doi.org/10.1166/asl.2016.7086

Alsomali W; Razzak I; Alshammari R, 2016, 'Development of ontology for penicillin-Related adverse events', Journal of Medical Imaging and Health Informatics, vol. 6, pp. 620 - 626, http://dx.doi.org/10.1166/jmihi.2016.1724

Ghamdi HA; Alshammari R; Razzak MI, 2016, 'An ontology-based system to predict hospital readmission within 30 days', International Journal of Healthcare Management, vol. 9, pp. 236 - 244, http://dx.doi.org/10.1080/20479700.2016.1139768

Naz S; Umar AI; Ahmad R; Ahmed SB; Shirazi SH; Siddiqi I; Razzak MI, 2016, 'Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks', Neurocomputing, vol. 177, pp. 228 - 241, http://dx.doi.org/10.1016/j.neucom.2015.11.030

Naz S; Umar AI; Ahmed R; Razzak MI; Rashid SF; Shafait F, 2016, 'Urdu Nasta’liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks', SpringerPlus, vol. 5, http://dx.doi.org/10.1186/s40064-016-3442-4

Naz S; Umar AI; Shirazi SH; Ahmed SB; Razzak MI; Siddiqi I, 2016, 'Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey', Education and Information Technologies, vol. 21, pp. 1225 - 1241, http://dx.doi.org/10.1007/s10639-015-9377-5

Shirazi SH; Umar AI; Naz S; Razzak MI, 2016, 'Efficient leukocyte segmentation and recognition in peripheral blood image', Technology and Health Care, vol. 24, pp. 335 - 347, http://dx.doi.org/10.3233/THC-161133

Daghistani T; Shammari RA; Razzak MI, 2015, 'Discovering diabetes complications: An ontology based model', Acta Informatica Medica, vol. 23, pp. 385 - 392, http://dx.doi.org/10.5455/aim.2015.23.385-392

Mahmood L; Shirazi SF; Naz S; Shirazi SH; Razzak MI; Umar AI; Ashraf SS, 2015, 'Adaptive filtering algorithms for channel equalization in wireless communication', Indian Journal of Science and Technology, vol. 8, http://dx.doi.org/10.17485/ijst/2015/v8i17/57805

Razzak MI; Alhaqbani B, 2015, 'Automatic detection of malarial parasite using microscopic blood images', Journal of Medical Imaging and Health Informatics, vol. 5, pp. 591 - 598, http://dx.doi.org/10.1166/jmihi.2015.1417

Razzak MI; Alhaqbani B, 2015, 'Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling', Neural Computing and Applications, vol. 26, pp. 1117 - 1127, http://dx.doi.org/10.1007/s00521-014-1779-6

Naz S; Razzak MI; Hayat K; Anwar MW; Khan SZ, 2014, 'Challenges in baseline detection of arabic script based languages', Studies in Computational Intelligence, vol. 542, pp. 181 - 196, http://dx.doi.org/10.1007/978-3-319-04702-7_11

Razzak MI; Elmogy BA; Khan MK; Alghathbar K, 2012, 'Efficient distributed face recognition in wireless sensor network', International Journal of Innovative Computing, Information and Control, vol. 8, pp. 2811 - 2822

Razzak MI; Husain SA; Mirza AA; Belaïd A, 2012, 'Fuzzy based preprocessing using fusion of online and offline trait for online Urdu script based languages character recognition', International Journal of Innovative Computing, Information and Control, vol. 8, pp. 3149 - 3161

Razzak MI; Husain SA; Mirza AA; Khan MK, 2012, 'Bio-inspired multilayered and multilanguage Arabic script character recognition system', International Journal of Innovative Computing, Information and Control, vol. 8, pp. 2681 - 2691

Khalil MS; Razzak MI; Khan MK, 2011, 'Fingerprint classification using PCA, LDA, L-LDA and BPN', Information, vol. 14, pp. 3313 - 3323

Razzak MI; Husain SA; Khan MK; Sher M, 2011, 'Handling diacritical marks for online Arabic script based languages character recognition using fuzzy c-mean clustering and relative position', Information, vol. 14, pp. 157 - 165

Razzak MI; Khan MK; Alghathbar K; Park JH, 2011, 'Energy efficient distributed face recognition in wireless sensor network', Wireless Personal Communications, vol. 60, pp. 571 - 582, http://dx.doi.org/10.1007/s11277-011-0310-y

Razzak MI; Khan MK; Alghathbar K; Yusof R, 2011, 'CSLDA and LDA fusion based Face recognition', Przeglad Elektrotechniczny, vol. 87, pp. 210 - 214

Razzak MI; Khan MK; Alghathbar K; Yusof R, 2011, 'Multimodal biometric recognition based on fusion of low resolution face and finger veins', International Journal of Innovative Computing, Information and Control, vol. 7, pp. 4679 - 4689

Razzak MI; Mirza AA, 2011, 'Ghost character recognition theory and arabic script based languages character recognition', Przeglad Elektrotechniczny, vol. 87, pp. 234 - 238

Razzak MI; Anwar F; Husain SA; Belaid A; Sher M, 2010, 'HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages' character recognition', Knowledge-Based Systems, vol. 23, pp. 914 - 923, http://dx.doi.org/10.1016/j.knosys.2010.06.007

Razzak MI; Sher M; Hussain SA, 2010, 'Locally baseline detection for online Arabic script based languages character recognition', International Journal of Physical Sciences, vol. 5, pp. 955 - 959

Razzak MI; Yusaf R; Husain SA; Sher M, 2010, 'Rule based online Urdu character recognition', ICIC Express Letters, vol. 4, pp. 571 - 576

Razzak MI; Yusof R; Khalid M, 2010, 'Multimodal face and finger veins biometric authentication', Scientific Research and Essays, vol. 5, pp. 2529 - 2534

Huynh ND; Bouadjenek MR; Hassani A; Razzak I; Lee K; Arora C; Zaslavsky A, 2022, 'Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment', in Proceedings - IEEE International Conference on Mobile Data Management, IEEE, pp. 318 - 321, presented at 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 06 June 2022 - 09 June 2022, http://dx.doi.org/10.1109/MDM55031.2022.00070

Huynh ND; Bouadjenek MR; Razzak I; Lee K; Arora C; Hassani A; Zaslavsky A, 2022, Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey, http://dx.doi.org/10.48550/arxiv.2202.10594

Khan PI; Razzak I; Dengel A; Ahmed S, 2022, A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets, http://dx.doi.org/10.48550/arxiv.2204.06337

Khan PI; Siddiqui SA; Razzak I; Dengel A; Ahmed S, 2022, Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training, http://dx.doi.org/10.48550/arxiv.2203.01895

Aryal S; Baniya AA; Razzak I; Santosh KC, 2021, 'SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms', in Proceedings of the International Joint Conference on Neural Networks, IEEE, presented at 2021 International Joint Conference on Neural Networks (IJCNN), 18 July 2021 - 22 July 2021, http://dx.doi.org/10.1109/IJCNN52387.2021.9534162

Dipongkor AK; Islam MS; Kayesh H; Hossain MS; Anwar A; Rahman KA; Razzak I, 2021, 'DAAB: Deep Authorship Attribution in Bengali', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533619

Islam MR; Razzak I; Wang X; Tilocca P; Xu G, 2021, 'UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533354

Islam MR; Zhang J; Ashmafee MH; Razzak I; Zhou J; Wang X; Xu G, 2021, 'ExVis: Explainable Visual Decision Support System for Risk Management', in Proceedings of 2021 8th IEEE International Conference on Behavioural and Social Computing, BESC 2021, http://dx.doi.org/10.1109/BESC53957.2021.9635491

Jawad I; Ahmed J; Razzak I; Doss R, 2021, 'Identifying DNS Exfiltration based on Lexical Attributes of Query Name', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9534276

Kausar A; Razzak I; Shapiai I; Alshammari R, 2021, 'An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium', in Proceedings of the International Joint Conference on Neural Networks, IEEE, presented at 2021 International Joint Conference on Neural Networks (IJCNN), 18 July 2021 - 22 July 2021, http://dx.doi.org/10.1109/IJCNN52387.2021.9534418

Khan PI; Razzak I; Dengel A; Ahmed S, 2021, Understanding Information Spreading Mechanisms During COVID-19 Pandemic by Analyzing the Impact of Tweet Text and User Features for Retweet Prediction, http://dx.doi.org/10.48550/arxiv.2106.07344

Naseem U; Khushi M; Reddy V; Rajendran S; Razzak I; Kim J, 2021, 'BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition', in Proceedings of the International Joint Conference on Neural Networks, IEEE, presented at 2021 International Joint Conference on Neural Networks (IJCNN), 18 July 2021 - 22 July 2021, http://dx.doi.org/10.1109/IJCNN52387.2021.9533884

Rashid AH; Razzak I; Tanveer M; Robles-Kelly A, 2021, 'RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533849

Saadatmand M; Rauf A; Anwar S; Ramzan M; Razzak I, 2021, 'Message from the NLP-SEA 2021 Chairs', in Proceedings - 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2021, pp. XXIII, http://dx.doi.org/10.1109/ASEW52652.2021.00012

Zhao T; Song X; Li J; Luo W; Razzak I, 2021, Distributed Optimization of Graph Convolutional Network using Subgraph Variance, http://dx.doi.org/10.48550/arxiv.2110.02987

Zogan H; Razzak I; Jameel S; Xu G, 2021, 'DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media', in SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, pp. 133 - 142, presented at SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, http://dx.doi.org/10.1145/3404835.3462938

Zogan H; Razzak I; Jameel S; Xu G, 2021, DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media, http://dx.doi.org/10.48550/arxiv.2105.10878

Ahmed SB; Naz S; Razzak I; Prasad M, 2020, 'Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207283

Alnefaie A; Gupta D; Bhuyan MH; Razzak I; Gupta P; Prasad M, 2020, 'End-to-End Analysis for Text Detection and Recognition in Natural Scene Images', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207001

Islam MR; Liu S; Razzak I; Kabir MA; Wang X; Tilocca P; Xu G, 2020, 'MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry', in Proceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020, http://dx.doi.org/10.1109/BESC51023.2020.9348301

Naseem U; Khushi M; Reddy V; Rajendran S; Razzak I; Kim J, 2020, BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition, http://dx.doi.org/10.48550/arxiv.2009.09223

Naseem U; Razzak I; Eklund P; Musial K, 2020, 'Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207237

Naseem U; Razzak I; Khan SK; Prasad M, 2020, A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models, http://dx.doi.org/10.48550/arxiv.2010.15036

Nguyen TT; Nguyen QVH; Nguyen DT; Yang S; Eklund PW; Huynh-The T; Nguyen TT; Pham Q-V; Razzak I; Hsu EB, 2020, Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions, http://dx.doi.org/10.48550/arxiv.2008.07343

Razzak I, 2020, 'Cooperative Evolution Multiclass Support Matrix Machines', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207164

Razzak I; Kamran I; Naz S, 2020, 'Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207087

Razzak I; Khan TM, 2020, 'One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207429

Razzak I; Shoukat G; Naz S; Khan TM, 2020, 'Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9206881

Rehman A; Naz S; Razzak I, 2020, Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities, http://dx.doi.org/10.48550/arxiv.2004.09010

Riaz SA; Naz S; Razzak I, 2020, 'Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207113

Zogan H; Razzak I; Wang X; Jameel S; Xu G, 2020, Explainable Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media, http://dx.doi.org/10.48550/arxiv.2007.02847

Naseem U; Khan SK; Razzak I; Hameed IA, 2019, 'Hybrid Words Representation for Airlines Sentiment Analysis', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 381 - 392, http://dx.doi.org/10.1007/978-3-030-35288-2_31

Ahmed SB; Naz S; Razzak MI; Yusof R, 2018, 'Cursive scene text analysis by deep convolutional linear pyramids', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 307 - 318, http://dx.doi.org/10.1007/978-3-030-04167-0_28

Razzak MI; Saris RA; Blumenstein M; Xu G, 2018, 'Robust 2D Joint Sparse Principal Component Analysis with F-Norm Minimization for Sparse Modelling: 2D-RJSPCA', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489541

Saeed Z; Abbasi RA; Sadaf A; Razzak MI; Xu G, 2018, 'Text stream to temporal network - A dynamic heartbeat graph to detect emerging events on twitter', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 534 - 545, http://dx.doi.org/10.1007/978-3-319-93037-4_42

Ahmed SB; Naz S; Swati S; Razzak MI, 2017, Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier, http://arxiv.org/abs/1705.05455v1

Razzak MI; Naz S, 2017, 'Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 801 - 807, http://dx.doi.org/10.1109/CVPRW.2017.111

Razzak MI; Naz S; Zaib A, 2017, Deep Learning for Medical Image Processing: Overview, Challenges and Future, http://arxiv.org/abs/1704.06825v1

Ahmed SB; Naz S; Razzak MI; Yusof R; Breuel TM, 2016, 'Balinese character recognition using bidirectional LSTM classifier', in Lecture Notes in Electrical Engineering, pp. 201 - 211, http://dx.doi.org/10.1007/978-3-319-32213-1_18

Ahmed SB; Razzak MI; Alhaqbani B, 2016, 'The minutiae based latent fingerprint recognition system', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/2896387.2896434

Naz S; Ahmed SB; Ahmad R; Razzak MI, 2016, 'Zoning Features and 2DLSTM for Urdu Text-line Recognition', in Procedia Computer Science, pp. 16 - 22, http://dx.doi.org/10.1016/j.procs.2016.08.084

Waqialla M; Razzak MI, 2016, 'An Ontology-based Framework Aiming to Support Cardiac Rehabilitation Program', in Procedia Computer Science, pp. 23 - 32, http://dx.doi.org/10.1016/j.procs.2016.08.087

Naz S; Umar AI; Ahmed SB; Shirazi SH; Razzak MI; Siddiqi I, 2015, 'An Ocr system for printed Nasta'liq script: A segmentation based approach', in 17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings, pp. 255 - 259, http://dx.doi.org/10.1109/INMIC.2014.7097347

Shirazi SH; Umar AI; Ul Haq N; Naz S; Razzak MI, 2015, 'Accurate microscopic red blood cell image enhancement and segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 183 - 192, http://dx.doi.org/10.1007/978-3-319-16483-0_18

Waqialla M; Alshammari R; Razzak MI, 2015, 'An ontology for remote monitoring of cardiac implantable electronic devices', in I4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding, pp. 520 - 523, http://dx.doi.org/10.1109/I4CT.2015.7219633

Naz S; Hayat K; Anwar MW; Akbar H; Razzak MI, 2013, 'Challenges in baseline detection of cursive script languages', in Proceedings of 2013 Science and Information Conference, SAI 2013, pp. 551 - 556

Naz S; Hayat K; Razzak MI; Anwar MW; Akbar H, 2013, 'Arabic script based character segmentation: A review', in 2013 World Congress on Computer and Information Technology, WCCIT 2013, http://dx.doi.org/10.1109/WCCIT.2013.6618741

Naz S; Hayat K; Razzak MI; Anwar MW; Akbar H, 2013, 'Arabic script based language character recognition: Nasta'liq vs Naskh analysis', in 2013 World Congress on Computer and Information Technology, WCCIT 2013, http://dx.doi.org/10.1109/WCCIT.2013.6618740

Khalil MS; Khan MK; Razzak MI, 2011, 'Co-occurrence matrix features for fingerprint verification', in ASID 2011 - Proceedings: 2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification, pp. 43 - 46, http://dx.doi.org/10.1109/ASID.2011.5967412

Razzak MI; Khan MK; Alghathbar K, 2010, 'Bio-inspired hybrid face recognition system for small sample size and large dataset', in Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010, pp. 384 - 388, http://dx.doi.org/10.1109/IIHMSP.2010.99

Razzak MI; Khan MK; Alghathbar K, 2010, 'Contactless biometrics in wireless sensor network: A survey', in Communications in Computer and Information Science, pp. 236 - 243, http://dx.doi.org/10.1007/978-3-642-17610-4_27

Razzak MI; Khan MK; Alghathbar K; Yousaf R, 2010, 'Face recognition using layered linear discriminant analysis and small subspace', in Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010, pp. 1407 - 1412, http://dx.doi.org/10.1109/CIT.2010.252

Khan ZS; Sher M; Rashid K; Razzak I, 2009, 'Towards Security and Enrichment of the IP Multimedia Subsystem Based Multiparty Conference', in Castillo O; Douglas C; Feng DD; Lee JA (eds.), IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, INT ASSOC ENGINEERS-IAENG, Kowloon, PEOPLES R CHINA, pp. 368 - +, presented at International Multi-Conference of Engineers and Computer Scientists, Kowloon, PEOPLES R CHINA, 18 March 2009 - 20 March 2009, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000266097200072&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Razzak MI; Hussain SA; Sher M, 2009, 'Numeral recognition for Urdu script in unconstrained environment', in 2009 International Conference on Emerging Technologies, ICET 2009, pp. 44 - 47, http://dx.doi.org/10.1109/ICET.2009.5353203

Naseem U; Khushi M; Reddy V; Rajendran S; Razzak I; Kim J, BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition, http://dx.doi.org/10.21203/rs.3.rs-90025/v1

Qayyum A; Razzak I; Mazher M; Puig D, Late-Ensemble of Convolutional Neural Networks with Test Time Augmentation for Chest XR COVID-19 Detection, http://dx.doi.org/10.1101/2022.02.25.22271520

Rehman A; Naz S; Khan A; Zaib A; Razzak I, Improving Coronavirus (COVID-19) Diagnosis using Deep Transfer Learning, http://dx.doi.org/10.1101/2020.04.11.20054643