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ORCIDShomona Gracia Jacob
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2020 – today
- 2023
[c10]Shomona Gracia Jacob, Bensujin Bennet, Majdi Mohammed Bait Ali Sulaiman:
Investigating the Role of PTEN and P53 in Autism: Design of A Mutant Information Prediction System (MIPS). ICCAE 2023: 17-20- [c9]Shomona Gracia Jacob
, Bensujin Bennet, Majdi Mohammed Bait Ali Sulaiman:
A Computational Investigation on Precision Autism and Metabolic Disorders: Predictive Machine Learning for Hepatic Ailment Classification. IVSP 2023: 76-82 - 2022
- [j5]Shomona Gracia Jacob, Majdi Mohammed Bait Ali Sulaiman, Bensujin Bennet, R. Vijayaraghavan, M. Subin Sahayam, N. Thiviyakalyani, S. Shriram, Thushara Hameed:
A graphical approach for outlier detection in gene-protein mapping of cognitive ailments: an insight into neurodegenerative disorders. Netw. Model. Anal. Health Informatics Bioinform. 11(1): 22 (2022) - [c8]Shomona Gracia Jacob, Majdi Mohammed Bait Ali Sulaiman, Bensujin Bennet:
Algorithmic Approaches to Classify Autism Spectrum Disorders: A Research Perspective. ANT/EDI40 2022: 470-477 - 2020
- [j4]Sivasankari Sivasubramanian, Shomona Gracia Jacob:
An automated ontology learning for benchmarking classifier models through gain-based relative-non-redundant feature selection: a case-study with erythemato-squamous disease. Int. J. Bus. Intell. Data Min. 16(3): 261-278 (2020) - [j3]Lokeswari Venkataramana, Shomona Gracia Jacob, Rajavel Ramadoss:
A Parallel Multilevel Feature Selection algorithm for improved cancer classification. J. Parallel Distributed Comput. 138: 78-98 (2020)
2010 – 2019
- 2018
- [c7]Lokeswari Venkataramana, Shomona Gracia Jacob, S. Saraswathi, R. Athilakshmi:
Clinical Decision Support System for Neuro-Degenerative Disorders: An Optimal Feature Selective Classifier and Identification of Predictor Markers. ISDA (1) 2018: 10-20 - 2017
- [j2]Shomona Gracia Jacob, Geetha Raju:
Software defect prediction in large space systems through hybrid feature selection and classification. Int. Arab J. Inf. Technol. 14(2): 208-214 (2017) - [j1]Sudha M. R, Sriraghav K, Sudar Abisheck S, Shomona Gracia Jacob, Manisha S:
Approaches and Applications of Virtual Reality and Gesture Recognition: A Review. Int. J. Ambient Comput. Intell. 8(4): 1-18 (2017) - 2016
- [c6]Shomona Gracia Jacob, R. Athilakshmi:
Extraction of Protein Sequence features for Prediction of Neuro-degenerative Brain Disorders: Pioneering the CGAP database. ICIA 2016: 30:1-30:4 - [c5]Y. V. Lokeswari, Shomona Gracia Jacob:
A Comparative study on Parallel Data Mining Algorithms using Hadoop Map Reduce: A Survey. ICTCS 2016: 143:1-143:6 - 2015
- [i1]D. S. Shashaank, V. Sruthi, M. L. S. Vijayalakshimi, Shomona Gracia Jacob:
Turnover Prediction Of Shares using Data Mining techniques : A Case Study. CoRR abs/1508.00088 (2015) - 2013
- [c4]R. Geetha Ramani, Lakshmi Balasubramanian, Shomona Gracia Jacob:
ROC analysis of classifiers in automatic detection of Diabetic Retinopathy using shape features of fundus images. ICACCI 2013: 66-72 - 2012
- [c3]P. Nancy, R. Geetha Ramani, Shomona Gracia Jacob:
Mining of Association Patterns in Social Network Data (Face Book 100 Universities) through Data Mining Techniques and Methods. ACITY (3) 2012: 107-117 - [c2]Shomona Gracia Jacob, R. Geetha Ramani, P. Nancy:
Discovery of Knowledge Patterns in Lymphographic Clinical Data through Data Mining Methods and Techniques. ACITY (3) 2012: 129-140 - [c1]Shomona Gracia Jacob, R. Geetha Ramani:
Mining of classification patterns in clinical data through data mining algorithms. ICACCI 2012: 997-1003
Coauthor Index
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