By Dr Imran Razzak

Journal articles

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

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

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, 21, pp. 1225 - 1241, http://dx.doi.org/10.1007/s10639-015-9377-5

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

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, 27, pp. 603 - 613, http://dx.doi.org/10.1007/s00521-015-1881-4

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, 177, pp. 228 - 241, http://dx.doi.org/10.1016/j.neucom.2015.11.030

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

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

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, 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, 5, pp. 591 - 598, http://dx.doi.org/10.1166/jmihi.2015.1417

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

Naz S; Hayat K; Razzak MI; Anwar MW; Madani SA; Khan SU, 2014, 'The optical character recognition of Urdu-like cursive scripts', PATTERN RECOGNITION, 47, pp. 1229 - 1248, http://dx.doi.org/10.1016/j.patcog.2013.09.037

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

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, 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, 8, pp. 2681 - 2691

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, 8, pp. 2811 - 2822

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

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

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, 7, pp. 4679 - 4689

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

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

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, 14, pp. 157 - 165

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, 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, 5, pp. 955 - 959

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

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

Conference Papers

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', in Proceedings of the AAAI Conference on Artificial Intelligence, pp. 12883 - 12891, http://dx.doi.org/10.1609/aaai.v38i11.29185

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', in Proceedings of the 17th ACM International Conference on Web Search and Data Mining, ACM, presented at WSDM '24: The 17th ACM International Conference on Web Search and Data Mining, http://dx.doi.org/10.1145/3616855.3635849

Qayyum A; Niederer S; Ahamed Khan MKA; Mazher M; Razzak I; Mokayef M; Hassan CS; Ridzuan M, 2024, 'Magnetic Resonance Spectroscopy (MRS) Reconstruction Using Style Transfer Deep Depth wise Framework', in Proceedings of International Conference on Artificial Life and Robotics, pp. 209 - 214

Qayyum A; Niederer S; Ahamed Khan MKA; Mazher M; Razzak I; Mokayef M; Hassan CS; Ridzuan Bin Abd Hamid A, 2024, 'Parallel Cross Window Attention Transformer and CNN Model for Segmentation of Instrument during Surgery', in Proceedings of International Conference on Artificial Life and Robotics, pp. 204 - 208

Chen S; Naseem U; Razzak I, 2023, 'Debunking Biases in Attention', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 141 - 150

Khan TM; Arsalan M; Iqbal S; Razzak I; Meijering E, 2023, 'Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 160 - 167, http://dx.doi.org/10.1109/DICTA60407.2023.00030

Iqbal MZ; Razzak I; Qayyum A; Khan T; Sowmya A, 2023, 'Hybrid Unsupervised Deformable Image Registration for 4D CT Lung Image Intra-modalities', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 441 - 447, http://dx.doi.org/10.1109/DICTA60407.2023.00067

Akinniyi O; Razzak I; Rahman MM; Sandhu H; El-Baz A; Khalifa F, 2023, 'Multi-Classification of Retinal Diseases Using a Pyramidal Ensemble Deep Framework', in Proceedings - International Conference on Image Processing, ICIP, pp. 1945 - 1949, http://dx.doi.org/10.1109/ICIP49359.2023.10222074

Masood A; Naseem U; Razzak I, 2023, 'Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI53787.2023.10230663

Qayyum A; Mazher M; Razzak I; Niederer S, 2023, 'Multiscale Kernel Atrous Convolution Network for Segmentation of Myocardium', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 9 - 15, http://dx.doi.org/10.1109/DICTA60407.2023.00011

Yang D; Montero J; Li T; Xu G; Yang X; Li L; Unger H; Hu J; Du S; Luo C; Li Z; Chen H; Wang H; Razzak I; Han M; Vanderhaegen F; Tao X; Shen Y; Luo H; Li C; Luo Z; Zhang F; Gu J; Lv F; Bai Q; He W; Lyu P; Liu Q; Qiu L; Wu X; Zhao F; Xia F; Xie H; Yang H; Yin H; Zeng X, 2023, 'Preface', in 2023 3rd International Conference on Digital Society and Intelligent Systems, DSInS 2023, pp. i - iii, http://dx.doi.org/10.1109/DSInS60115.2023.10455366

Boone-Sifuentes T; Bouadjenek MR; Razzak I; Hacid H; Nazari A, 2022, 'A Mask-based Output Layer for Multi-level Hierarchical Classification', in International Conference on Information and Knowledge Management, Proceedings, pp. 3833 - 3837, http://dx.doi.org/10.1145/3511808.3557534

Boone-Sifuentes T; Nazari A; Razzak I; Bouadjenek MR; Robles-Kelly A; Ierodiaconou D; Oh ES, 2022, 'Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification', in International Conference on Information and Knowledge Management, Proceedings, pp. 3838 - 3842, http://dx.doi.org/10.1145/3511808.3557634

Thapa S; Shah A; Jafri FA; Naseem U; Razzak I, 2022, 'A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict', in CASE 2022 - 5th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, Proceedings of the Workshop, pp. 1 - 6

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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 136 - 147, http://dx.doi.org/10.1007/978-3-031-15931-2_12

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, pp. 318 - 321, http://dx.doi.org/10.1109/MDM55031.2022.00070

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, http://dx.doi.org/10.1109/IJCNN52387.2021.9534418

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, http://dx.doi.org/10.1109/IJCNN52387.2021.9533884

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

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

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

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, http://dx.doi.org/10.1109/IJCNN52387.2021.9534162

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

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, pp. 133 - 142, http://dx.doi.org/10.1145/3404835.3462938

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