Discovery of Knowledge Patterns in Lymphographic Clinical Data through Data Mining Methods and Techniques. - Shomona Gracia Jacob; R. Geetha Ramani; P. Nancy (ACITY (3), 2012)

Mining of Association Patterns in Social Network Data (Face Book 100 Universities) through Data Mining Techniques and Methods. - P. Nancy; R. Geetha Ramani; Shomona Gracia Jacob (ACITY (3), 2012)

Mining of classification patterns in clinical data through data mining algorithms. - Shomona Gracia Jacob; R. Geetha Ramani (ICACCI, 2012)

ROC analysis of classifiers in automatic detection of Diabetic Retinopathy using shape features of fundus images. - R. Geetha Ramani; Lakshmi Balasubramanian; Shomona Gracia Jacob (ICACCI, 2013)

Turnover Prediction Of Shares using Data Mining techniques : A Case Study. - D. S. Shashaank; V. Sruthi; M. L. S. Vijayalakshimi; Shomona Gracia Jacob (CoRR, 2015)

Extraction of Protein Sequence features for Prediction of Neuro-degenerative Brain Disorders: Pioneering the CGAP database. - Shomona Gracia Jacob; R. Athilakshmi (ICIA, 2016)

A Comparative study on Parallel Data Mining Algorithms using Hadoop Map Reduce: A Survey. - Y. V. Lokeswari; Shomona Gracia Jacob (ICTCS, 2016)

Software defect prediction in large space systems through hybrid feature selection and classification. - Shomona Gracia Jacob; Geetha Raju (Int. Arab J. Inf. Technol., 2017)

Approaches and Applications of Virtual Reality and Gesture Recognition: A Review. - Sudha M. R; Sriraghav K; Sudar Abisheck S; Shomona Gracia Jacob; Manisha S (Int. J. Ambient Comput. Intell., 2017)

Clinical Decision Support System for Neuro-Degenerative Disorders: An Optimal Feature Selective Classifier and Identification of Predictor Markers. - Lokeswari Venkataramana; Shomona Gracia Jacob; S. Saraswathi; R. Athilakshmi (ISDA (1), 2018)

An automated ontology learning for benchmarking classifier models through gain-based relative-non-redundant feature selection: a case-study with erythemato-squamous disease. - Sivasankari Sivasubramanian; Shomona Gracia Jacob (Int. J. Bus. Intell. Data Min., 2020)

A Parallel Multilevel Feature Selection algorithm for improved cancer classification. - Lokeswari Venkataramana; Shomona Gracia Jacob; Rajavel Ramadoss (J. Parallel Distributed Comput., 2020)

Algorithmic Approaches to Classify Autism Spectrum Disorders: A Research Perspective. - Shomona Gracia Jacob; Majdi Mohammed Bait Ali Sulaiman; Bensujin Bennet (ANT/EDI40, 2022)

A graphical approach for outlier detection in gene-protein mapping of cognitive ailments: an insight into neurodegenerative disorders. - Shomona Gracia Jacob; Majdi Mohammed Bait Ali Sulaiman; Bensujin Bennet; R. Vijayaraghavan; M. Subin Sahayam; N. Thiviyakalyani; S. Shriram; Thushara Hameed (Netw. Model. Anal. Health Informatics Bioinform., 2022)

Investigating the Role of PTEN and P53 in Autism: Design of A Mutant Information Prediction System (MIPS). - Shomona Gracia Jacob; Bensujin Bennet; Majdi Mohammed Bait Ali Sulaiman (ICCAE, 2023)

A Computational Investigation on Precision Autism and Metabolic Disorders: Predictive Machine Learning for Hepatic Ailment Classification. - Shomona Gracia Jacob; Bensujin Bennet; Majdi Mohammed Bait Ali Sulaiman (IVSP, 2023)

Research Insights on the Ethical Aspects of AI-Based Smart Learning Environments: Review on the Confluence of Academic Enterprises and AI. - Sini Raj Pulari; Shomona Gracia Jacob (CENTERIS/ProjMAN/HCist, 2024)