By Dr Imran Razzak

Preprints

Huynh ND; Bouadjenek MR; Aryal S; Razzak I; Hacid H, 2024, SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset, http://dx.doi.org/10.48550/arxiv.2410.22648

Dey K; Tarannum P; Hasan MA; Razzak I; Naseem U, 2024, Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings, http://dx.doi.org/10.48550/arxiv.2410.13153

Wahab A; Khan TM; Iqbal S; AlShammari B; Alhaqbani B; Razzak I, 2024, Latent fingerprint enhancement for accurate minutiae detection, http://dx.doi.org/10.48550/arxiv.2409.11802

Farooq H; Zafar Z; Saadat A; Khan TM; Iqbal S; Razzak I, 2024, LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation, http://dx.doi.org/10.48550/arxiv.2409.01572

Iqbal S; Ahmed H; Sharif M; Hena M; Khan TM; Razzak I, 2024, EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation, http://dx.doi.org/10.48550/arxiv.2408.12323

Siddiqui M; Iqbal S; AlShammari B; Alhaqbani B; Khan TM; Razzak I, 2024, A Robust Algorithm for Contactless Fingerprint Enhancement and Matching, http://dx.doi.org/10.48550/arxiv.2408.09426

Iqbal S; Zeeshan M; Mehmood M; Khan TM; Razzak I, 2024, TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation, http://dx.doi.org/10.48550/arxiv.2408.09687

Hasan MA; Tarannum P; Dey K; Razzak I; Naseem U, 2024, Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings, http://dx.doi.org/10.48550/arxiv.2408.02237

Zogan H; Razzak I; Jameel S; Xu G, 2024, NarrationDep: Narratives on Social Media For Automatic Depression Detection, http://dx.doi.org/10.48550/arxiv.2407.17174

Javed S; Khan TM; Qayyum A; Sowmya A; Razzak I, 2024, Region Guided Attention Network for Retinal Vessel Segmentation, http://dx.doi.org/10.48550/arxiv.2407.18970

Khan TM; Iqbal S; Naqvi SS; Razzak I; Meijering E, 2024, LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation, http://arxiv.org/abs/2407.02871v1

Javed S; Khan TM; Qayyum A; Alinejad-Rokny H; Sowmya A; Razzak I, 2024, Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images, http://dx.doi.org/10.48550/arxiv.2405.17520

Qayyum A; Mazher M; Lee A; Solis-Lemus JA; Razzak I; Niederer SA, 2024, Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle, http://dx.doi.org/10.48550/arxiv.2405.17518

Azam U; Razzak I; Vishwakarma S; Hacid H; Zhang D; Jameel S, 2024, BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction, http://dx.doi.org/10.48550/arxiv.2404.10481

Azam U; Razzak I; Vishwakarma S; Hacid H; Zhang D; Jameel S, 2024, Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty, http://dx.doi.org/10.48550/arxiv.2404.10483

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

Jiang J; Zhao L; Lu X; Hu W; Razzak I; Wang M, 2024, DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning, http://dx.doi.org/10.48550/arxiv.2401.02610

Khan TM; Arsalan M; Iqbal S; Razzak I; Meijering E, 2023, Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation, http://arxiv.org/abs/2309.03535v1

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

Ghodhbani H; Alimi A; Neji M; Razzak I, 2021, You can Try without Visiting: A Comprehensive Survey on Virtually Try-on Outfits, http://dx.doi.org/10.36227/techrxiv.13904099

Javed AR; Zikria YB; Rehman SU; Shahzad F; Jalil Z, 2021, Future Smart Cities: Requirements, Emerging Technologies, Applications, Challenges, and Future Aspects, http://dx.doi.org/10.36227/techrxiv.14722854

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

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

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

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/10.21203/rs.3.rs-90025/v1

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

Nguyen TT, 2020, Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions, http://dx.doi.org/10.36227/techrxiv.12743933

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

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

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

Rehman A; Naz S; Khan A; Zaib A; Razzak I, 2020, Improving Coronavirus (COVID-19) Diagnosis using Deep Transfer Learning, http://dx.doi.org/10.1101/2020.04.11.20054643

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

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