Select Publications
Preprints
2021, You can Try without Visiting: A Comprehensive Survey on Virtually Try-on Outfits, , http://dx.doi.org/10.36227/techrxiv.13904099
,2021, Future Smart Cities: Requirements, Emerging Technologies, Applications, Challenges, and Future Aspects, , http://dx.doi.org/10.36227/techrxiv.14722854
,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
,2021, DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media, , http://dx.doi.org/10.48550/arxiv.2105.10878
,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
,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
,2020, BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition, , http://dx.doi.org/10.48550/arxiv.2009.09223
,2020, Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions, , http://dx.doi.org/10.36227/techrxiv.12743933
,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
,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
,2020, Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities, , http://dx.doi.org/10.48550/arxiv.2004.09010
,2020, Improving Coronavirus (COVID-19) Diagnosis using Deep Transfer Learning, , http://dx.doi.org/10.1101/2020.04.11.20054643
,2017, Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier, , http://arxiv.org/abs/1705.05455v1
,2017, Deep Learning for Medical Image Processing: Overview, Challenges and Future, , http://arxiv.org/abs/1704.06825v1
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