ORCID as entered in ROS

Select Publications
2023, Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images, http://arxiv.org/abs/2309.13872v1
,2022, PhishSim: Aiding Phishing Website Detection with a Feature-Free Tool, http://dx.doi.org/10.1109/TIFS.2022.3164212.
,2021, Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning, http://dx.doi.org/10.48550/arxiv.2112.03276
,2021, Man versus Machine: AutoML and Human Experts' Role in Phishing Detection, http://arxiv.org/abs/2108.12193v1
,2021, Epigenetic evolution of deep convolutional models, http://dx.doi.org/10.48550/arxiv.2104.05411
,2020, Complexity-based speciation and genotype representation for neuroevolution, http://dx.doi.org/10.48550/arxiv.2010.05176
,2020, PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites, http://arxiv.org/abs/2007.11955v1
,2019, Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal, http://arxiv.org/abs/1905.09438v1
,2014, Sparse, guided feature connections in an Abstract Deep Network, http://arxiv.org/abs/1412.4967v1
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