Nagamma Patil
Orcid: 0000-0001-9924-9559
According to our database1,
Nagamma Patil
authored at least 46 papers
between 2011 and 2024.
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Bibliography
2024
Netw. Model. Anal. Health Informatics Bioinform., December, 2024
Optimization-based convolutional neural model for the classification of white blood cells.
J. Big Data, December, 2024
SN Comput. Sci., April, 2024
Capsule Vision Challenge 2024: Multi-Class Abnormality Classification for Video Capsule Endoscopy.
CoRR, 2024
2023
An exhaustive review of computational prediction techniques for PPI sites, protein locations, and protein functions.
Netw. Model. Anal. Health Informatics Bioinform., December, 2023
Artif. Intell. Rev., December, 2023
Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism.
Expert Syst. Appl., October, 2023
Image Analysis of Nuclei Histopathology Using Deep Learning: A Review of Segmentation, Detection, and Classification.
SN Comput. Sci., September, 2023
OntoPred: An Efficient Attention-Based Approach for Protein Function Prediction Using Skip-Gram Features.
SN Comput. Sci., September, 2023
Real-time microscopy image-based segmentation and classification models for cancer cell detection.
Multim. Tools Appl., September, 2023
Segmentation and classification of white blood cancer cells from bone marrow microscopic images using duplet-convolutional neural network design.
Multim. Tools Appl., September, 2023
Utilizing Deep Learning Models and Transfer Learning for COVID-19 Detection from X-Ray Images.
SN Comput. Sci., July, 2023
Optimizing Machine Learning Operators and Models for Specific Hardware Using Apache-TVM.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Nuclei Classification in Histopathology Images Using Fuzzy Ensemble of Convolutional Neural Networks.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Pioneering Frontiers in Natural Language Processing: Exploring Promising Areas and Emerging Applications.
Proceedings of the OITS International Conference on Information Technology, 2023
Proceedings of the OITS International Conference on Information Technology, 2023
2022
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., 2022
An efficient colossal closed itemset mining algorithm for a dataset with high dimensionality.
J. King Saud Univ. Comput. Inf. Sci., 2022
2021
Enhanced Protein Structural Class Prediction Using Effective Feature Modeling and Ensemble of Classifiers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
An effective feature extraction with deep neural network architecture for protein-secondary-structure prediction.
Netw. Model. Anal. Health Informatics Bioinform., 2021
M-CAD: Towards Multi-Categorical Auto Diagnosis of Varied Diseases using Deep Learning.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
2020
Distributed load balancing frequent colossal closed itemset mining algorithm for high dimensional dataset.
J. Parallel Distributed Comput., 2020
ProgSIO-MSA: Progressive-based single iterative optimization framework for multiple sequence alignment using an effective scoring system.
J. Bioinform. Comput. Biol., 2020
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., 2020
An enhanced protein secondary structure prediction using deep learning framework on hybrid profile based features.
Appl. Soft Comput., 2020
Empirical Study on Multi Convolutional Layer-based Convolutional Neural Network Classifier for Plant Leaf Disease Detection.
Proceedings of the 15th IEEE International Conference on Industrial and Information Systems, 2020
2019
An efficient parallel row enumerated algorithm for mining frequent colossal closed itemsets from high dimensional datasets.
Inf. Sci., 2019
An efficient dynamic switching algorithm for mining colossal closed itemsets from high dimensional datasets.
Data Knowl. Eng., 2019
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., 2019
2018
EGA-FMC: enhanced genetic algorithm-based fuzzy k-modes clustering for categorical data.
Int. J. Bio Inspired Comput., 2018
Distributed Mining of Significant Frequent Colossal Closed Itemsets from Long Biological Dataset.
Proceedings of the Intelligent Systems Design and Applications, 2018
Proceedings of the Intelligent Systems Design and Applications, 2018
Protein Secondary Structural Class Prediction Using Effective Feature Modeling and Machine Learning Techniques.
Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018
2017
Efficient and Effective Multiple Protein Sequence Alignment Model Using Dynamic Progressive Approach with Novel Look Back Ahead Scoring System.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017
Proceedings of the 7th International Conference on Computer and Communication Technology, 2017
Position-Residue Specific Dynamic Gap Penalty Scoring Strategy for Multiple Sequence Alignment.
Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics, 2017
2015
Proceedings of the 2015 International Conference on Advances in Computing, 2015
2013
Int. J. Data Anal. Tech. Strateg., 2013
2012
Int. J. Funct. Informatics Pers. Medicine, 2012
2011
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011
Proceedings of the 4th Bangalore Annual Compute Conference, Compute 2011, 2011