Muhammad Imran Razzak
Orcid: 0000-0002-3930-6600Affiliations:
- Deakin University, School of Information Technology, Geelong, Australia
- University of Technology Sydney, Department of Information Technology, Sydney, Australia (PhD)
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Saud University, Center of Excellence in Information Assurance, Riyadh, Saudi Arabia
- Universiti Teknologi Malaysia, Center of Artificial Intelligence and Robotics, Malaysia
According to our database1,
Muhammad Imran Razzak
authored at least 191 papers
between 2010 and 2024.
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Bibliography
2024
Retraction Note: Refining Parkinson's neurological disorder identification through deep transfer learning.
Neural Comput. Appl., June, 2024
Exploring the impact of SEO-based ranking factors for voice queries through machine learning.
Artif. Intell. Rev., June, 2024
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic.
IEEE J. Biomed. Health Informatics, April, 2024
Guest Editorial Advanced Machine Learning and Artificial Intelligence Tools for Computational Biology: Methodologies and Challenges.
IEEE J. Biomed. Health Informatics, April, 2024
IEEE J. Biomed. Health Informatics, March, 2024
Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024
Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality.
Inf. Fusion, February, 2024
IEEE Trans. Medical Imaging, January, 2024
Strategies for evaluating visual analytics systems: A systematic review and new perspectives.
Inf. Vis., January, 2024
Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks.
Inf. Fusion, January, 2024
Eng. Appl. Artif. Intell., January, 2024
Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty.
CoRR, 2024
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction.
CoRR, 2024
Construction of Functional Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model.
CoRR, 2024
Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Artif. Intell. Rev., November, 2023
Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis.
IEEE J. Biomed. Health Informatics, October, 2023
IEEE Trans. Comput. Soc. Syst., October, 2023
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis.
Neural Comput. Appl., October, 2023
ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information.
World Wide Web (WWW), September, 2023
Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey.
IEEE Trans. Comput. Soc. Syst., August, 2023
Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning.
Neural Networks, August, 2023
Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions.
Neural Comput. Appl., August, 2023
A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing.
Neural Comput. Appl., July, 2023
Automated methods for diagnosis of Parkinson's disease and predicting severity level.
Neural Comput. Appl., July, 2023
Multim. Syst., June, 2023
Eng. Appl. Artif. Intell., May, 2023
IEEE J. Biomed. Health Informatics, April, 2023
Multi-objective flower pollination algorithm: a new technique for EEG signal denoising.
Neural Comput. Appl., April, 2023
Assessment of physiological states from contactless face video: a sparse representation approach.
Computing, April, 2023
Intelligent Anomaly Detection of Trajectories for IoT Empowered Maritime Transportation Systems.
IEEE Trans. Intell. Transp. Syst., February, 2023
Restricted Boltzmann Machine Assisted Secure Serverless Edge System for Internet of Medical Things.
IEEE J. Biomed. Health Informatics, February, 2023
Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks.
IEEE J. Biomed. Health Informatics, February, 2023
Adaptive and Priority-Based Resource Allocation for Efficient Resources Utilization in Mobile-Edge Computing.
IEEE Internet Things J., February, 2023
DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing.
IEEE Trans. Intell. Transp. Syst., 2023
Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT.
IEEE Trans. Ind. Informatics, 2023
Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification.
IEEE Trans. Comput. Soc. Syst., 2023
High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
IEEE Internet Things J., 2023
Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines.
CoRR, 2023
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data.
CoRR, 2023
CoRR, 2023
GLAN: GAN Assisted Lightweight Attention Network for Biomedical Imaging Based Diagnostics.
Cogn. Comput., 2023
Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules.
Proceedings of the Computational Science - ICCS 2023, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
Hybrid Unsupervised Deformable Image Registration for 4D CT Lung Image Intra-modalities.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media.
World Wide Web, 2022
Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks.
ACM Trans. Multim. Comput. Commun. Appl., 2022
A Fine-Grained Access Control and Security Approach for Intelligent Vehicular Transport in 6G Communication System.
IEEE Trans. Intell. Transp. Syst., 2022
A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics.
IEEE Trans. Intell. Transp. Syst., 2022
Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning.
IEEE J. Biomed. Health Informatics, 2022
IEEE J. Biomed. Health Informatics, 2022
IEEE J. Biomed. Health Informatics, 2022
Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems.
IEEE J. Biomed. Health Informatics, 2022
Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures.
IEEE Trans. Ind. Informatics, 2022
A Counter-Eavesdropping Technique for Optimized Privacy of Wireless Industrial IoT Communications.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Green Commun. Netw., 2022
Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications.
Sensors, 2022
Neural Comput. Appl., 2022
Multim. Tools Appl., 2022
Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities.
Multim. Syst., 2022
Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children.
Image Vis. Comput., 2022
Inf. Process. Manag., 2022
Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data.
Int. J. Intell. Syst., 2022
One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data.
Int. J. Intell. Syst., 2022
XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks.
Future Gener. Comput. Syst., 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training.
CoRR, 2022
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey.
CoRR, 2022
Comput. Electr. Eng., 2022
Biomed. Signal Process. Control., 2022
Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training.
IEEE Access, 2022
Automatic Cardiac Magnetic Resonance Respiratory Motions Assessment and Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision.
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
<i>Marine-tree: </i> A Large-scale Marine Organisms Dataset for Hierarchical Image Classification.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022
2021
Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond.
IEEE Trans. Comput. Soc. Syst., 2021
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis.
IEEE Trans. Comput. Soc. Syst., 2021
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., 2021
Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms.
Pattern Recognit. Lett., 2021
An efficient secure data compression technique based on chaos and adaptive Huffman coding.
Peer-to-Peer Netw. Appl., 2021
Peer-to-Peer Netw. Appl., 2021
A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter.
Multim. Tools Appl., 2021
Multim. Tools Appl., 2021
J. Intell. Fuzzy Syst., 2021
Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease.
Future Gener. Comput. Syst., 2021
Ground target finding mechanism for unmanned aerial vehicles to secure crop field data.
Trans. Emerg. Telecommun. Technol., 2021
The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges.
Trans. Emerg. Telecommun. Technol., 2021
CoRR, 2021
Understanding Information Spreading Mechanisms During COVID-19 Pandemic by Analyzing the Impact of Tweet Text and User Features for Retweet Prediction.
CoRR, 2021
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media.
CoRR, 2021
A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment.
Comput. Commun., 2021
Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management: Deadline for Manuscript Submission: February 26, 2022.
Big Data, 2021
Ad Hoc Networks, 2021
Ad Hoc Networks, 2021
Hot-Spot Zone Detection to Tackle Covid19 Spread by Fusing the Traditional Machine Learning and Deep Learning Approaches of Computer Vision.
IEEE Access, 2021
DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021
2020
Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection.
Neural Networks, 2020
J. Electronic Imaging, 2020
Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data.
Future Gener. Comput. Syst., 2020
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis.
Future Gener. Comput. Syst., 2020
Expert Syst. J. Knowl. Eng., 2020
A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning.
Circuits Syst. Signal Process., 2020
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020
Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Advances in Information Retrieval, 2020
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020
Springer, ISBN: 978-981-15-1296-4, 2020
2019
PhD thesis, 2019
Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks.
IEEE J. Biomed. Health Informatics, 2019
Neural Comput. Appl., 2019
Multim. Tools Appl., 2019
J. Medical Imaging Health Informatics, 2019
What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter.
J. Grid Comput., 2019
Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks.
Expert Syst. Appl., 2019
CoRR, 2019
Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes].
IEEE Comput. Intell. Mag., 2019
Aust. J. Intell. Inf. Process. Syst., 2019
Aust. J. Intell. Inf. Process. Syst., 2019
Aust. J. Intell. Inf. Process. Syst., 2019
IEEE Access, 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, 2019
Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience.
IEEE Access, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the Handbook of Deep Learning Applications., 2019
2018
Clust. Comput., 2018
Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Urdu Nasta'liq text recognition system based on multi-dimensional recurrent neural network and statistical features.
Neural Comput. Appl., 2017
Neurocomputing, 2017
Int. Arab J. Inf. Technol., 2017
CoRR, 2017
CoRR, 2017
Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Proceedings of the 1st International Workshop on Arabic Script Analysis and Recognition, 2017
2016
Neural Comput. Appl., 2016
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks.
Neurocomputing, 2016
Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey.
Educ. Inf. Technol., 2016
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016
Proceedings of the International Conference on Internet of Things and Cloud Computing, 2016
2015
Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling.
Neural Comput. Appl., 2015
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
2014
Proceedings of the Handbook of Document Image Processing and Recognition, 2014
Pattern Recognit., 2014
2011
Wirel. Pers. Commun., 2011
2010
HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages' character recognition.
Knowl. Based Syst., 2010
Proceedings of the Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010), 2010
Proceedings of the Security Technology, Disaster Recovery and Business Continuity, 2010
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010