Species identification based on approximate matching. - Nagamma Patil; Durga Toshniwal; Kumkum Garg (Bangalore Compute Conf., 2011)

Optimal Clustering Method Based on Genetic Algorithm. - Satish Gajawada; Durga Toshniwal; Nagamma Patil; Kumkum Garg (SocProS (2), 2011)

Effective framework for protein structure prediction. - Nagamma Patil; Durga Toshniwal; Kumkum Garg (Int. J. Funct. Informatics Pers. Medicine, 2012)

Clustering genome data based on approximate matching. - Nagamma Patil; Durga Toshniwal; Kumkum Garg (Int. J. Data Anal. Tech. Strateg., 2013)

Normalized weighted and reverse weighted correlation based Apriori algorithm. - Amimul Ehsan; Nagamma Patil (ICACCI, 2015)

Position-Residue Specific Dynamic Gap Penalty Scoring Strategy for Multiple Sequence Alignment. - Sanjay S. Bankapur; Nagamma Patil (CSBio, 2017)

Travel Recommendation System Using Geotagged Photos. - Akanksha Kumari; Ashish Kumar Singh; Nagamma Patil (ICCCT, 2017)

Efficient and Effective Multiple Protein Sequence Alignment Model Using Dynamic Progressive Approach with Novel Look Back Ahead Scoring System. - Sanjay S. Bankapur; Nagamma Patil (PReMI, 2017)

Protein Secondary Structural Class Prediction Using Effective Feature Modeling and Machine Learning Techniques. - Sanjay S. Bankapur; Nagamma Patil (BIBE, 2018)

Feature Selection Using Fast Ensemble Learning for Network Intrusion Detection. - Ujjwal Pasupulety; C. D. Adwaith; Suraj Hegde; Nagamma Patil (ISDA (1), 2018)

Distributed Mining of Significant Frequent Colossal Closed Itemsets from Long Biological Dataset. - Manjunath K. Vanahalli; Nagamma Patil (ISDA (1), 2018)

EGA-FMC: enhanced genetic algorithm-based fuzzy k-modes clustering for categorical data. - Medhini Narasimhan; Balaji Balasubramanian; Suryansh D. Kumar; Nagamma Patil (Int. J. Bio Inspired Comput., 2018)

A novel filter-wrapper hybrid greedy ensemble approach optimized using the genetic algorithm to reduce the dimensionality of high-dimensional biomedical datasets. - Tushaar Gangavarapu; Nagamma Patil (Appl. Soft Comput., 2019)

An efficient dynamic switching algorithm for mining colossal closed itemsets from high dimensional datasets. - Manjunath K. Vanahalli; Nagamma Patil (Data Knowl. Eng., 2019)

An efficient parallel row enumerated algorithm for mining frequent colossal closed itemsets from high dimensional datasets. - Manjunath K. Vanahalli; Nagamma Patil (Inf. Sci., 2019)

Empirical Study on Multi Convolutional Layer-based Convolutional Neural Network Classifier for Plant Leaf Disease Detection. - C. K. Sunil; C. D. Jaidhar; Nagamma Patil (ICIIS, 2020)

An enhanced protein secondary structure prediction using deep learning framework on hybrid profile based features. - Prince Kumar; Sanjay S. Bankapur; Nagamma Patil (Appl. Soft Comput., 2020)

A fast and novel approach based on grouping and weighted mRMR for feature selection and classification of protein sequence data. - Kiranpreet Kaur; Nagamma Patil (Int. J. Data Min. Bioinform., 2020)

ProgSIO-MSA: Progressive-based single iterative optimization framework for multiple sequence alignment using an effective scoring system. - Sanjay S. Bankapur; Nagamma Patil (J. Bioinform. Comput. Biol., 2020)

Distributed load balancing frequent colossal closed itemset mining algorithm for high dimensional dataset. - Manjunath K. Vanahalli; Nagamma Patil (J. Parallel Distributed Comput., 2020)

Bayesian Optimization and Gradient Boosting to Detect Phishing Websites. - Rakesh Pavan; Madhumitha Nara; Suhas Gopinath; Nagamma Patil (CISS, 2021)

Survey of Leukemia Cancer Cell Detection Using Image Processing. - Tulasi Gayatri Devi; Nagamma Patil; Sharada Rai; Cheryl Sarah Philipose (CVIP (1), 2021)

M-CAD: Towards Multi-Categorical Auto Diagnosis of Varied Diseases using Deep Learning. - Kains Praveen K; Nagamma Patil; Srikanth C. S; Vikas J (IRI, 2021)

An effective feature extraction with deep neural network architecture for protein-secondary-structure prediction. - Aditya Jayasimha; Rahul Mudambi; P. Pavan; B. M. Lokaksha; Sanjay S. Bankapur; Nagamma Patil (Netw. Model. Anal. Health Informatics Bioinform., 2021)

Enhanced Protein Structural Class Prediction Using Effective Feature Modeling and Ensemble of Classifiers. - Sanjay S. Bankapur; Nagamma Patil (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Cardamom Plant Disease Detection Approach Using EfficientNetV2. - C. K. Sunil; Jaidhar C. D.; Nagamma Patil (IEEE Access, 2022)

Robust self-healing prediction model for high dimensional data. - Anirudha Rayasam; Nagamma Patil (CoRR, 2022)

An efficient colossal closed itemset mining algorithm for a dataset with high dimensionality. - Manjunath K. Vanahalli; Nagamma Patil (J. King Saud Univ. Comput. Inf. Sci., 2022)

An Effective Multi-Label Protein Sub-Chloroplast Localization Prediction by Skipped-Grams of Evolutionary Profiles Using Deep Neural Network. - Sanjay S. Bankapur; Nagamma Patil (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Measuring the Quality of Text Summarization: A Survey of Evaluation Approaches. - Rosamma K. S; Nagamma Patil (OCIT, 2023)

Pioneering Frontiers in Natural Language Processing: Exploring Promising Areas and Emerging Applications. - Rosamma K. S; Nagamma Patil (OCIT, 2023)

Nuclei Segmentation using EfficientNetV2 and Convolutional Block Attention Module. - Mukul Kadaskar; Nagamma Patil (ICCCNT, 2023)

Nuclei Classification in Histopathology Images Using Fuzzy Ensemble of Convolutional Neural Networks. - Mukul Kadaskar; Nagamma Patil (ICCCNT, 2023)

Optimizing Machine Learning Operators and Models for Specific Hardware Using Apache-TVM. - Kausthub Thekke Madathil; Abhinav Dugar; Nagamma Patil; Unnikrishnan Cheramangalath (ICCCNT, 2023)

Utilizing Deep Learning Models and Transfer Learning for COVID-19 Detection from X-Ray Images. - Shubham Agrawal; Venkatesh Honnakasturi; Madhumitha Nara; Nagamma Patil (SN Comput. Sci., 2023)

Segmentation and classification of white blood cancer cells from bone marrow microscopic images using duplet-convolutional neural network design. - Tulasi Gayatri Devi; Nagamma Patil; Sharada Rai; Cheryl Sarah Philipose (Multim. Tools Appl., 2023)

Real-time microscopy image-based segmentation and classification models for cancer cell detection. - Tulasi Gayatri Devi; Nagamma Patil; Sharada Rai; Cheryl Sarah Philipose (Multim. Tools Appl., 2023)

OntoPred: An Efficient Attention-Based Approach for Protein Function Prediction Using Skip-Gram Features. - Suyash Chintawar; Rakshit Kulkarni; Nagamma Patil (SN Comput. Sci., 2023)

Image Analysis of Nuclei Histopathology Using Deep Learning: A Review of Segmentation, Detection, and Classification. - Mukul Kadaskar; Nagamma Patil (SN Comput. Sci., 2023)

Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism. - C. K. Sunil; Jaidhar C. D.; Nagamma Patil (Expert Syst. Appl., 2023)

Systematic study on deep learning-based plant disease detection or classification. - C. K. Sunil; C. D. Jaidhar; Nagamma Patil (Artif. Intell. Rev., 2023)

An exhaustive review of computational prediction techniques for PPI sites, protein locations, and protein functions. - Prajna Bhat; Nagamma Patil (Netw. Model. Anal. Health Informatics Bioinform., 2023)

Comprehensive Deep Learning Approach for Identifying Plant Nutrient Deficiency, Diseases and Pests. - Chirag Bavishi; Nagamma Patil (ICCCNT, 2024)

Enhanced Protein Secondary Structure Prediction with Bidirectional LSTM and Attention Mechanism. - Ayush Hemnani; Nagamma Patil (ICCCNT, 2024)

Utilizing Deep Learning Methods for Cancer Detection through Analysis of MicroRNA Expression Profiles. - Samiksha Kantamneni; Poorna Hegde; Nagamma Patil (ICCCNT, 2024)

Capsule Vision Challenge 2024: Multi-Class Abnormality Classification for Video Capsule Endoscopy. - Aakarsh Bansal; Bhuvanesh Singla; Raajan Rajesh Wankhade; Nagamma Patil (CoRR, 2024)

ANet: Nuclei Instance Segmentation and Classification with Attention-Based Network. - Mukul Kadaskar; Nagamma Patil (SN Comput. Sci., 2024)

Optimization-based convolutional neural model for the classification of white blood cells. - Tulasi Gayatri Devi; Nagamma Patil (J. Big Data, 2024)

Detection of heart arrhythmia with electrocardiography. - Tarushi Jat; Nagamma Patil; Prajna Bhat (Netw. Model. Anal. Health Informatics Bioinform., 2024)

Class-Balanced Protein Interaction Site Prediction Using Global and Local Features with XGBoost and Deep Learning. - Bharath C. Kulkarni; Bommineni Shiva Sai; Varun Kolagad; Nagamma Patil; Prajna Bhat (SN Comput. Sci., 2025)

An Integrated Deep Learning Framework for Soil Type Classification. - Shruti Jalapur; Nagamma Patil (SN Comput. Sci., 2025)

Detection of Heart Abnormality with Stethoscope Sounds. - Tarushi Jat; Prajna Bhat; Nagamma Patil (SN Comput. Sci., 2025)

A Hybrid Lead Scoring-BiGRU Model for Extractive Summarization of News Articles. - Rosamma K. S; Nagamma Patil (SN Comput. Sci., 2025)