By Dr Imran Razzak

Conference Papers

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Bin Ahmed S; Naz S; Razzak MI; Yousaf R, 2017, 'Deep Learning based Isolated Arabic Scene Character Recognition', in 2017 1ST INTERNATIONAL WORKSHOP ON ARABIC SCRIPT ANALYSIS AND RECOGNITION (ASAR), IEEE, FRANCE, Nancy, pp. 46 - 51, presented at 1st IEEE International Workshop on Arabic Script Analysis and Recognition (ASAR), FRANCE, Nancy, 03 April 2017 - 05 April 2017, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000426941500010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

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

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

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

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

Naz S; Ahmed S; Ahmad R; Razza M, 2015, 'Arabic Script based Digit Recognition Systems', in Proceedings of the 2015 International Conference on Recent Advances in Computer Systems, Atlantis Press, presented at International Conference on Recent Advances in Computer Systems, 30 November 2015 - 01 December 2015, http://dx.doi.org/10.2991/racs-15.2016.11

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

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

Naz S; Umar AI; Ahmed SB; Shirazi SH; Razzak MI; Siddiqi I, 2014, '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

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

Mendrik A; Vonken E-J; Dankbaar J-W; Prokop M; van Ginneken B, 2010, 'Noise filtering in thin-slice 4D cerebral CT perfusion scans', in Dawant BM; Haynor DR (ed.), SPIE Proceedings, SPIE, presented at SPIE Medical Imaging, http://dx.doi.org/10.1117/12.843813

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

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, PEOPLES R CHINA, Kowloon, pp. 368 - +, presented at International Multi-Conference of Engineers and Computer Scientists, PEOPLES R CHINA, Kowloon, 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

Preprints

Alsuhaibani A; Zogan H; Razzak I; Jameel S; Xu G, 2024, IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification, , http://dx.doi.org/10.48550/arxiv.2401.04025

Khan TM; Arsalan M; Iqbal S; Razzak I; Meijering E, 2023, Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation, , http://dx.doi.org/10.48550/arxiv.2309.03535

Jafri FA; Siddiqui MA; Thapa S; Rauniyar K; Naseem U; Razzak I, 2023, Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines, , http://dx.doi.org/10.48550/arxiv.2306.14764

Boulogne LH; Lorenz J; Kienzle D; Schon R; Ludwig K; Lienhart R; Jegou S; Li G; Chen C; Wang Q; Shi D; Maniparambil M; Muller D; Mertes S; Schroter N; Hellmann F; Elia M; Dirks I; Bossa MN; Berenguer AD; Mukherjee T; Vandemeulebroucke J; Sahli H; Deligiannis N; Gonidakis P; Huynh ND; Razzak I; Bouadjenek R; Verdicchio M; Borrelli P; Aiello M; Meakin JA; Lemm A; Russ C; Ionasec R; Paragios N; van Ginneken B; Dubois M-PR, 2023, The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data, , http://dx.doi.org/10.48550/arxiv.2306.10484

Naveed A; Naqvi SS; Khan TM; Razzak I, 2023, Progressive Class-Wise Attention (PCA) Approach for Diagnosing Skin Lesions, , http://dx.doi.org/10.48550/arxiv.2306.07300

Iqbal S; Khan TM; Naqvi SS; Usman M; Razzak I, 2023, LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms, , http://dx.doi.org/10.48550/arxiv.2306.06145

Khan TM; Naqvi SS; Robles-Kelly A; Razzak I, 2023, Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning, , http://dx.doi.org/10.48550/arxiv.2304.12856

Gunawardena R; Yin Y; Huang Y; Masood R; Seneviratne S; Razzak I; Tran N; Seneviratne A, 2023, Usability of Privacy Controls in Top Health Websites, , http://dx.doi.org/10.48550/arxiv.2303.01838

de Vente C; Vermeer KA; Jaccard N; Wang H; Sun H; Khader F; Truhn D; Aimyshev T; Zhanibekuly Y; Le T-D; Galdran A; Ballester MÁG; Carneiro G; G DR; S HP; Puthussery D; Liu H; Yang Z; Kondo S; Kasai S; Wang E; Durvasula A; Heras J; Zapata MÁ; Araújo T; Aresta G; Bogunović H; Arikan M; Lee YC; Cho HB; Choi YH; Qayyum A; Razzak I; van Ginneken B; Lemij HG; Sánchez CI, 2023, AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge, , http://dx.doi.org/10.48550/arxiv.2302.01738

Katende B; Bresser M; Kamele M; Chere L; Tlahali M; Erhardt RM; Muhairwe J; Ayakaka I; Glass TR; Ruhwald M; van Ginneken B; Murphy K; de Vos M; Amstutz A; Mareka M; Mooko SM; Labhardt ND; Reither K; González Fernández L, 2022, Impact of a multi-disease integrated screening and diagnostic model for COVID-19, TB, and HIV in Lesotho, , http://dx.doi.org/10.1101/2022.12.20.22283748

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

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

Qayyum A; Razzak I; Mazher M; Puig D, 2022, 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

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

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