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2020 – today
- 2024
[j19]Anusree Kanadath
, J. Angel Arul Jothi, Siddhaling Urolagin:
CViTS-Net: A CNN-ViT Network With Skip Connections for Histopathology Image Classification. IEEE Access 12: 117627-117649 (2024)- [j18]Asmi Sriwastawa, J. Angel Arul Jothi:
Vision transformer and its variants for image classification in digital breast cancer histopathology: a comparative study. Multim. Tools Appl. 83(13): 39731-39753 (2024) - [j17]Anusree Kanadath, J. Angel Arul Jothi, Siddhaling Urolagin:
AIR-UNet++: a deep learning framework for histopathology image segmentation and detection. Multim. Tools Appl. 83(19): 57449-57475 (2024) - [j16]J. Angel Arul Jothi, Karishma Damania:
DIRXNet: A Hybrid Deep Network for Classification of Breast Histopathology Images. SN Comput. Sci. 5(1): 77 (2024) - [c8]Aryan Satwani, Keane Coutinho, Neha John, J. Angel Arul Jothi:
Live Cricket Predictions for Runs and Win Using Machine Learning. IS 2024: 1-6 - 2023
- [j15]K. Syama, J. Angel Arul Jothi, Namita Khanna:
Automatic disease prediction from human gut metagenomic data using boosting GraphSAGE. BMC Bioinform. 24(1): 126 (2023) - [j14]K. Syama, J. Angel Arul Jothi, Namita Khanna:
Correction: Automatic disease prediction from human gut metagenomic data using boosting GraphSAGE. BMC Bioinform. 24(1): 307 (2023) - [j13]Ram Krishn Mishra, J. Angel Arul Jothi, Siddhaling Urolagin, Kayan Irani:
Knowledge based topic retrieval for recommendations and tourism promotions. Int. J. Inf. Manag. Data Insights 3(1): 100145 (2023) - [j12]Anusree Kanadath, J. Angel Arul Jothi, Siddhaling Urolagin:
Multilevel Multiobjective Particle Swarm Optimization Guided Superpixel Algorithm for Histopathology Image Detection and Segmentation. J. Imaging 9(4): 78 (2023) - [j11]Anusree Kanadath, J. Angel Arul Jothi, Siddhaling Urolagin:
Multilevel Colonoscopy Histopathology Image Segmentation Using Particle Swarm Optimization Techniques. SN Comput. Sci. 4(5): 427 (2023) - [c7]Ravali Attivilli, J. Angel Arul Jothi:
Serverless Stream-Based Processing for Real Time Credit Card Fraud Detection Using Machine Learning. AIIoT 2023: 434-439 - [c6]Rajshree Jodha, Priyanka Mishra, J. Angel Arul Jothi, Sameer Saifi, Abhishek Purohit:
Performance Evaluation of Semantic Segmentation Models with and without Attention for White Blood Cells Segmentation. BCB 2023: 43:1-43:4 - [c5]Himanshu Rathi, Ishaan Joardar, Gaurav Dhanuka, Lakshya Gupta, J. Angel Arul Jothi:
Indian Stock Price Prediction Using Long Short-Term Memory. FICTA (1) 2023: 161-172 - 2022
- [j10]Rajeni Nagarajan, J. Angel Arul Jothi:
Analysing traveller ratings for tourist satisfaction and tourist spot recommendation. Int. J. Bus. Intell. Data Min. 20(2): 208-234 (2022) - [j9]Ram Krishn Mishra, Siddhaling Urolagin, J. Angel Arul Jothi, Pramod Gaur:
Deep hybrid learning for facial expression binary classifications and predictions. Image Vis. Comput. 128: 104573 (2022) - [c4]Mukta Mithra Raj, J. Angel Arul Jothi:
Website Phishing Detection Using Machine Learning Classification Algorithms. ICAI 2022: 219-233 - [c3]Mohammed Abdul Hafeez Khan, Hrishikesh Sabnis, J. Angel Arul Jothi, J. Kanishkha, A. M. Deva Prasad:
Classification of Microstructure Images of Metals Using Transfer Learning. MDIS 2022: 136-147 - 2021
- [j8]Ram Krishn Mishra, Siddhaling Urolagin, J. Angel Arul Jothi, Ashwin Sanjay Neogi, Nishad Nawaz:
Deep Learning-based Sentiment Analysis and Topic Modeling on Tourism During Covid-19 Pandemic. Frontiers Comput. Sci. 3: 775368 (2021) - [j7]J. Angel Arul Jothi, A. Razia Sulthana:
A Review on the Literature of Fashion Recommender System using Deep Learning. Int. J. Perform. Eng. 17(8): 695 (2021) - [j6]Shaleen Bengani, J. Angel Arul Jothi, Vadivel S.:
Automatic segmentation of optic disc in retinal fundus images using semi-supervised deep learning. Multim. Tools Appl. 80(3): 3443-3468 (2021) - 2020
- [j5]Vijaya Gajanan Buddhavarapu, J. Angel Arul Jothi:
An experimental study on classification of thyroid histopathology images using transfer learning. Pattern Recognit. Lett. 140: 1-9 (2020) - [c2]Parth Poply, J. Angel Arul Jothi:
An Instance Segmentation approach to Food Calorie Estimation using Mask R-CNN. SPML 2020: 73-78
2010 – 2019
- 2017
- [j4]J. Angel Arul Jothi, V. Mary Anita Rajam:
A survey on automated cancer diagnosis from histopathology images. Artif. Intell. Rev. 48(1): 31-81 (2017) - [j3]J. Angel Arul Jothi, V. Mary Anita Rajam:
Automatic classification of thyroid histopathology images using multi-classifier system. Multim. Tools Appl. 76(18): 18711-18730 (2017) - 2016
- [j2]J. Angel Arul Jothi, V. Mary Anita Rajam:
Effective segmentation and classification of thyroid histopathology images. Appl. Soft Comput. 46: 652-664 (2016) - [j1]J. Angel Arul Jothi, V. Mary Anita Rajam:
Effective segmentation of orphan annie-eye nuclei from papillary thyroid carcinoma histopathology images using a probabilistic model and region-based active contour. Biomed. Signal Process. Control. 30: 149-161 (2016) - 2014
- [c1]N. V. S. Natteshan, J. Angel Arul Jothi:
Automatic Classification of Brain MRI Images Using SVM and Neural Network Classifiers. ISI (1) 2014: 19-30
Coauthor Index
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