Nagamma Patil

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 39

Top Topics

Top Venues

SN Comput. Sci.

Netw. Model. Anal. Health Informatics Bioinform.

Appl. Soft Comput.

Publications

Mukul Kadaskar, Nagamma Patil
ANet: Nuclei Instance Segmentation and Classification with Attention-Based Network. SN Comput. Sci. 5 (4) (2024)
Tulasi Gayatri Devi, Nagamma Patil
Optimization-based convolutional neural model for the classification of white blood cells. J. Big Data 11 (1) (2024)
Tulasi Gayatri Devi, Nagamma Patil, Sharada Rai, Cheryl Sarah Philipose
Segmentation and classification of white blood cancer cells from bone marrow microscopic images using duplet-convolutional neural network design. Multim. Tools Appl. 82 (23) (2023)
Mukul Kadaskar, Nagamma Patil
Nuclei Classification in Histopathology Images Using Fuzzy Ensemble of Convolutional Neural Networks. ICCCNT (2023)
Prajna Bhat, Nagamma Patil
An exhaustive review of computational prediction techniques for PPI sites, protein locations, and protein functions. Netw. Model. Anal. Health Informatics Bioinform. 12 (1) (2023)
Tulasi Gayatri Devi, Nagamma Patil, Sharada Rai, Cheryl Sarah Philipose
Real-time microscopy image-based segmentation and classification models for cancer cell detection. Multim. Tools Appl. 82 (23) (2023)
Mukul Kadaskar, Nagamma Patil
Image Analysis of Nuclei Histopathology Using Deep Learning: A Review of Segmentation, Detection, and Classification. SN Comput. Sci. 4 (5) (2023)
Rosamma K. S, Nagamma Patil
Measuring the Quality of Text Summarization: A Survey of Evaluation Approaches. OCIT (2023)
Rosamma K. S, Nagamma Patil
Pioneering Frontiers in Natural Language Processing: Exploring Promising Areas and Emerging Applications. OCIT (2023)
Suyash Chintawar, Rakshit Kulkarni, Nagamma Patil
OntoPred: An Efficient Attention-Based Approach for Protein Function Prediction Using Skip-Gram Features. SN Comput. Sci. 4 (5) (2023)
Mukul Kadaskar, Nagamma Patil
Nuclei Segmentation using EfficientNetV2 and Convolutional Block Attention Module. ICCCNT (2023)
C. K. Sunil, Jaidhar C. D., Nagamma Patil
Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism. Expert Syst. Appl. 228 (2023)
C. K. Sunil, C. D. Jaidhar, Nagamma Patil
Systematic study on deep learning-based plant disease detection or classification. Artif. Intell. Rev. 56 (12) (2023)
Shubham Agrawal, Venkatesh Honnakasturi, Madhumitha Nara, Nagamma Patil
Utilizing Deep Learning Models and Transfer Learning for COVID-19 Detection from X-Ray Images. SN Comput. Sci. 4 (4) (2023)
Kausthub Thekke Madathil, Abhinav Dugar, Nagamma Patil, Unnikrishnan Cheramangalath
Optimizing Machine Learning Operators and Models for Specific Hardware Using Apache-TVM. ICCCNT (2023)
C. K. Sunil, Jaidhar C. D., Nagamma Patil
Cardamom Plant Disease Detection Approach Using EfficientNetV2. IEEE Access 10 (2022)
Manjunath K. Vanahalli, Nagamma Patil
An efficient colossal closed itemset mining algorithm for a dataset with high dimensionality. J. King Saud Univ. Comput. Inf. Sci. 34 (6 Part A) (2022)
Anirudha Rayasam, Nagamma Patil
Robust self-healing prediction model for high dimensional data. CoRR (2022)
Sanjay S. Bankapur, Nagamma Patil
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. 19 (3) (2022)
Tulasi Gayatri Devi, Nagamma Patil, Sharada Rai, Cheryl Sarah Philipose
Survey of Leukemia Cancer Cell Detection Using Image Processing. CVIP (1) (2021)
Aditya Jayasimha, Rahul Mudambi, P. Pavan, B. M. Lokaksha, Sanjay S. Bankapur, Nagamma Patil
An effective feature extraction with deep neural network architecture for protein-secondary-structure prediction. Netw. Model. Anal. Health Informatics Bioinform. 10 (1) (2021)
Rakesh Pavan, Madhumitha Nara, Suhas Gopinath, Nagamma Patil
Bayesian Optimization and Gradient Boosting to Detect Phishing Websites. CISS (2021)
Kains Praveen K, Nagamma Patil, Srikanth C. S, Vikas J
M-CAD: Towards Multi-Categorical Auto Diagnosis of Varied Diseases using Deep Learning. IRI (2021)
Sanjay S. Bankapur, Nagamma Patil
Enhanced Protein Structural Class Prediction Using Effective Feature Modeling and Ensemble of Classifiers. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Manjunath K. Vanahalli, Nagamma Patil
Distributed load balancing frequent colossal closed itemset mining algorithm for high dimensional dataset. J. Parallel Distributed Comput. 144 (2020)
Sanjay S. Bankapur, Nagamma Patil
ProgSIO-MSA: Progressive-based single iterative optimization framework for multiple sequence alignment using an effective scoring system. J. Bioinform. Comput. Biol. 18 (2) (2020)
Kiranpreet Kaur, Nagamma Patil
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. 23 (1) (2020)
Prince Kumar, Sanjay S. Bankapur, Nagamma Patil
An enhanced protein secondary structure prediction using deep learning framework on hybrid profile based features. Appl. Soft Comput. 86 (2020)
C. K. Sunil, C. D. Jaidhar, Nagamma Patil
Empirical Study on Multi Convolutional Layer-based Convolutional Neural Network Classifier for Plant Leaf Disease Detection. ICIIS (2020)
Manjunath K. Vanahalli, Nagamma Patil
An efficient dynamic switching algorithm for mining colossal closed itemsets from high dimensional datasets. Data Knowl. Eng. 123 (2019)
Tushaar Gangavarapu, Nagamma Patil
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. 81 (2019)
Manjunath K. Vanahalli, Nagamma Patil
An efficient parallel row enumerated algorithm for mining frequent colossal closed itemsets from high dimensional datasets. Inf. Sci. 496 (2019)
Sanjay S. Bankapur, Nagamma Patil
Protein Secondary Structural Class Prediction Using Effective Feature Modeling and Machine Learning Techniques. BIBE (2018)
Medhini Narasimhan, Balaji Balasubramanian, Suryansh D. Kumar, Nagamma Patil
EGA-FMC: enhanced genetic algorithm-based fuzzy k-modes clustering for categorical data. Int. J. Bio Inspired Comput. 11 (4) (2018)
Manjunath K. Vanahalli, Nagamma Patil
Distributed Mining of Significant Frequent Colossal Closed Itemsets from Long Biological Dataset. ISDA (1) (2018)
Ujjwal Pasupulety, C. D. Adwaith, Suraj Hegde, Nagamma Patil
Feature Selection Using Fast Ensemble Learning for Network Intrusion Detection. ISDA (1) (2018)
Sanjay S. Bankapur, Nagamma Patil
Efficient and Effective Multiple Protein Sequence Alignment Model Using Dynamic Progressive Approach with Novel Look Back Ahead Scoring System. PReMI (2017)
Sanjay S. Bankapur, Nagamma Patil
Position-Residue Specific Dynamic Gap Penalty Scoring Strategy for Multiple Sequence Alignment. CSBio (2017)
Akanksha Kumari, Ashish Kumar Singh, Nagamma Patil
Travel Recommendation System Using Geotagged Photos. ICCCT (2017)
Amimul Ehsan, Nagamma Patil
Normalized weighted and reverse weighted correlation based Apriori algorithm. ICACCI (2015)
Nagamma Patil, Durga Toshniwal, Kumkum Garg
Clustering genome data based on approximate matching. Int. J. Data Anal. Tech. Strateg. 5 (2) (2013)
Nagamma Patil, Durga Toshniwal, Kumkum Garg
Effective framework for protein structure prediction. Int. J. Funct. Informatics Pers. Medicine 4 (1) (2012)
Satish Gajawada, Durga Toshniwal, Nagamma Patil, Kumkum Garg
Optimal Clustering Method Based on Genetic Algorithm. SocProS (2) (2011)
Nagamma Patil, Durga Toshniwal, Kumkum Garg
Species identification based on approximate matching. Bangalore Compute Conf. (2011)