Nagamma Patil - RankMe

55 papers C 1Misc 2Journal 34Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep learning-based stress detection using encoded physiological signal representations. Netw. Model. Anal. Health Informatics Bioinform. A. D. Mahit Nandan, K. Praveen, R. Chinta Thejdeep, Prajna Bhat, Nagamma Patil
2025	J	`jnl`	A Hybrid Lead Scoring-BiGRU Model for Extractive Summarization of News Articles. SN Comput. Sci. Rosamma K. S, Nagamma Patil
2025	J	`jnl`	An Integrated Deep Learning Framework for Soil Type Classification. SN Comput. Sci. Shruti Jalapur, Nagamma Patil
2025	J	`jnl`	Class-Balanced Protein Interaction Site Prediction Using Global and Local Features with XGBoost and Deep Learning. SN Comput. Sci. Bharath C. Kulkarni, Bommineni Shiva Sai, Varun Kolagad, Nagamma Patil, Prajna Bhat
2025	J	`jnl`	Detection of Heart Abnormality with Stethoscope Sounds. SN Comput. Sci. Tarushi Jat, Prajna Bhat, Nagamma Patil
2025	J	`jnl`	Integrating Evolutionary and Structural Properties for Protein Interaction Site Prediction Using Graph and Temporal Convolutions. IEEE Trans. Comput. Biol. Bioinform. Prajna Bhat, Nagamma Patil
2024	J	`jnl`	ANet: Nuclei Instance Segmentation and Classification with Attention-Based Network. SN Comput. Sci. Mukul Kadaskar, Nagamma Patil
2024	J	`jnl`	Capsule Vision Challenge 2024: Multi-Class Abnormality Classification for Video Capsule Endoscopy. CoRR Aakarsh Bansal, Bhuvanesh Singla, Raajan Rajesh Wankhade, Nagamma Patil
2024	—	`conf`	Comprehensive Deep Learning Approach for Identifying Plant Nutrient Deficiency, Diseases and Pests. ICCCNT Chirag Bavishi, Nagamma Patil
2024	J	`jnl`	Detection of heart arrhythmia with electrocardiography. Netw. Model. Anal. Health Informatics Bioinform. Tarushi Jat, Nagamma Patil, Prajna Bhat
2024	—	`conf`	Enhanced Protein Secondary Structure Prediction with Bidirectional LSTM and Attention Mechanism. ICCCNT Ayush Hemnani, Nagamma Patil
2024	J	`jnl`	Optimization-based convolutional neural model for the classification of white blood cells. J. Big Data Tulasi Gayatri Devi, Nagamma Patil
2024	—	`conf`	Utilizing Deep Learning Methods for Cancer Detection through Analysis of MicroRNA Expression Profiles. ICCCNT Samiksha Kantamneni, Poorna Hegde, Nagamma Patil
2023	J	`jnl`	An exhaustive review of computational prediction techniques for PPI sites, protein locations, and protein functions. Netw. Model. Anal. Health Informatics Bioinform. Prajna Bhat, Nagamma Patil
2023	J	`jnl`	Image Analysis of Nuclei Histopathology Using Deep Learning: A Review of Segmentation, Detection, and Classification. SN Comput. Sci. Mukul Kadaskar, Nagamma Patil
2023	—	`conf`	Measuring the Quality of Text Summarization: A Survey of Evaluation Approaches. OCIT Rosamma K. S, Nagamma Patil
2023	—	`conf`	Nuclei Classification in Histopathology Images Using Fuzzy Ensemble of Convolutional Neural Networks. ICCCNT Mukul Kadaskar, Nagamma Patil
2023	—	`conf`	Nuclei Segmentation using EfficientNetV2 and Convolutional Block Attention Module. ICCCNT Mukul Kadaskar, Nagamma Patil
2023	J	`jnl`	OntoPred: An Efficient Attention-Based Approach for Protein Function Prediction Using Skip-Gram Features. SN Comput. Sci. Suyash Chintawar, Rakshit Kulkarni, Nagamma Patil
2023	—	`conf`	Optimizing Machine Learning Operators and Models for Specific Hardware Using Apache-TVM. ICCCNT Kausthub Thekke Madathil, Abhinav Dugar, Nagamma Patil, Unnikrishnan Cheramangalath
2023	—	`conf`	Pioneering Frontiers in Natural Language Processing: Exploring Promising Areas and Emerging Applications. OCIT Rosamma K. S, Nagamma Patil
2023	J	`jnl`	Real-time microscopy image-based segmentation and classification models for cancer cell detection. Multim. Tools Appl. Tulasi Gayatri Devi, Nagamma Patil, Sharada Rai, Cheryl Sarah Philipose
2023	J	`jnl`	Segmentation and classification of white blood cancer cells from bone marrow microscopic images using duplet-convolutional neural network design. Multim. Tools Appl. Tulasi Gayatri Devi, Nagamma Patil, Sharada Rai, Cheryl Sarah Philipose
2023	J	`jnl`	Systematic study on deep learning-based plant disease detection or classification. Artif. Intell. Rev. C. K. Sunil, C. D. Jaidhar, Nagamma Patil
2023	J	`jnl`	Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism. Expert Syst. Appl. C. K. Sunil, Jaidhar C. D., Nagamma Patil
2023	J	`jnl`	Utilizing Deep Learning Models and Transfer Learning for COVID-19 Detection from X-Ray Images. SN Comput. Sci. Shubham Agrawal, Venkatesh Honnakasturi, Madhumitha Nara, Nagamma Patil
2022	J	`jnl`	An Effective Multi-Label Protein Sub-Chloroplast Localization Prediction by Skipped-Grams of Evolutionary Profiles Using Deep Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. Sanjay S. Bankapur, Nagamma Patil
2022	J	`jnl`	An efficient colossal closed itemset mining algorithm for a dataset with high dimensionality. J. King Saud Univ. Comput. Inf. Sci. Manjunath K. Vanahalli, Nagamma Patil
2022	J	`jnl`	Cardamom Plant Disease Detection Approach Using EfficientNetV2. IEEE Access C. K. Sunil, Jaidhar C. D., Nagamma Patil
2022	J	`jnl`	Robust self-healing prediction model for high dimensional data. CoRR Anirudha Rayasam, Nagamma Patil
2021	J	`jnl`	An effective feature extraction with deep neural network architecture for protein-secondary-structure prediction. Netw. Model. Anal. Health Informatics Bioinform. Aditya Jayasimha, Rahul Mudambi, P. Pavan, B. M. Lokaksha, Sanjay S. Bankapur, Nagamma Patil
2021	Misc	`conf`	Bayesian Optimization and Gradient Boosting to Detect Phishing Websites. CISS Rakesh Pavan, Madhumitha Nara, Suhas Gopinath, Nagamma Patil
2021	J	`jnl`	Enhanced Protein Structural Class Prediction Using Effective Feature Modeling and Ensemble of Classifiers. IEEE ACM Trans. Comput. Biol. Bioinform. Sanjay S. Bankapur, Nagamma Patil
2021	Misc	`conf`	M-CAD: Towards Multi-Categorical Auto Diagnosis of Varied Diseases using Deep Learning. IRI Kains Praveen K, Nagamma Patil, Srikanth C. S, Vikas J
2021	—	`conf`	Survey of Leukemia Cancer Cell Detection Using Image Processing. CVIP (1) Tulasi Gayatri Devi, Nagamma Patil, Sharada Rai, Cheryl Sarah Philipose
2020	J	`jnl`	A fast and novel approach based on grouping and weighted mRMR for feature selection and classification of protein sequence data. Int. J. Data Min. Bioinform. Kiranpreet Kaur, Nagamma Patil
2020	J	`jnl`	An enhanced protein secondary structure prediction using deep learning framework on hybrid profile based features. Appl. Soft Comput. Prince Kumar, Sanjay S. Bankapur, Nagamma Patil
2020	J	`jnl`	Distributed load balancing frequent colossal closed itemset mining algorithm for high dimensional dataset. J. Parallel Distributed Comput. Manjunath K. Vanahalli, Nagamma Patil
2020	—	`conf`	Empirical Study on Multi Convolutional Layer-based Convolutional Neural Network Classifier for Plant Leaf Disease Detection. ICIIS C. K. Sunil, C. D. Jaidhar, Nagamma Patil
2020	J	`jnl`	ProgSIO-MSA: Progressive-based single iterative optimization framework for multiple sequence alignment using an effective scoring system. J. Bioinform. Comput. Biol. Sanjay S. Bankapur, Nagamma Patil
2019	J	`jnl`	A novel filter-wrapper hybrid greedy ensemble approach optimized using the genetic algorithm to reduce the dimensionality of high-dimensional biomedical datasets. Appl. Soft Comput. Tushaar Gangavarapu, Nagamma Patil
2019	J	`jnl`	An efficient dynamic switching algorithm for mining colossal closed itemsets from high dimensional datasets. Data Knowl. Eng. Manjunath K. Vanahalli, Nagamma Patil
2019	J	`jnl`	An efficient parallel row enumerated algorithm for mining frequent colossal closed itemsets from high dimensional datasets. Inf. Sci. Manjunath K. Vanahalli, Nagamma Patil
2018	—	`conf`	Distributed Mining of Significant Frequent Colossal Closed Itemsets from Long Biological Dataset. ISDA (1) Manjunath K. Vanahalli, Nagamma Patil
2018	J	`jnl`	EGA-FMC: enhanced genetic algorithm-based fuzzy k-modes clustering for categorical data. Int. J. Bio Inspired Comput. Medhini Narasimhan, Balaji Balasubramanian, Suryansh D. Kumar, Nagamma Patil
2018	—	`conf`	Feature Selection Using Fast Ensemble Learning for Network Intrusion Detection. ISDA (1) Ujjwal Pasupulety, C. D. Adwaith, Suraj Hegde, Nagamma Patil
2018	C	`conf`	Protein Secondary Structural Class Prediction Using Effective Feature Modeling and Machine Learning Techniques. BIBE Sanjay S. Bankapur, Nagamma Patil
2017	—	`conf`	Efficient and Effective Multiple Protein Sequence Alignment Model Using Dynamic Progressive Approach with Novel Look Back Ahead Scoring System. PReMI Sanjay S. Bankapur, Nagamma Patil
2017	—	`conf`	Position-Residue Specific Dynamic Gap Penalty Scoring Strategy for Multiple Sequence Alignment. CSBio Sanjay S. Bankapur, Nagamma Patil
2017	—	`conf`	Travel Recommendation System Using Geotagged Photos. ICCCT Akanksha Kumari, Ashish Kumar Singh, Nagamma Patil
2015	—	`conf`	Normalized weighted and reverse weighted correlation based Apriori algorithm. ICACCI Amimul Ehsan, Nagamma Patil
2013	J	`jnl`	Clustering genome data based on approximate matching. Int. J. Data Anal. Tech. Strateg. Nagamma Patil, Durga Toshniwal, Kumkum Garg
2012	J	`jnl`	Effective framework for protein structure prediction. Int. J. Funct. Informatics Pers. Medicine Nagamma Patil, Durga Toshniwal, Kumkum Garg
2011	—	`conf`	Optimal Clustering Method Based on Genetic Algorithm. SocProS (2) Satish Gajawada, Durga Toshniwal, Nagamma Patil, Kumkum Garg
2011	—	`conf`	Species identification based on approximate matching. Bangalore Compute Conf. Nagamma Patil, Durga Toshniwal, Kumkum Garg