S. Geetha

发表

An efficient feature selection paradigm using PCA-CFS-Shapley values ensemble applied to small medical data sets

S. Geetha, S. Sasikala, S. Appavu Alias Balamurugan, 2013, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT).

A novel memetic algorithm for discovering knowledge in binary and multi class predictions based on support vector machine

S. Sasikala, S. Appavu alias Balamurugan, S. Geetha, 2016, Appl. Soft Comput..

Brain Tumor Classification using ProbabilisticNeural Network

S. Geetha, S.U.Sumathi, S. Geetha, 2015 .

Review on Image Segmentation Techniques Incorporated with Machine Learning in the Scrutinization of Leukemic Microscopic Stained Blood Smear Images

Duraiswamy Umamaheswari, Shanmugam Geetha, S. Geetha, 2018, Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB).

Segmentation and Classification of Acute Lymphoblastic Leukemia Cells Tooled with Digital Image Processing and ML Techniques

S. Geetha, D. Umamaheswari, S. Geetha, 2018, 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS).

A novel adaptive feature selector for supervised classification

S. Sasikala, S. Appavu alias Balamurugan, S. Geetha, 2017, Inf. Process. Lett..

A Framework for Efficient Recognition and Classification of Acute Lymphoblastic Leukemia with a Novel Customized-Knn Classifier

Duraiswamy Umamaheswari, Shanmugam Geetha, S. Geetha, 2018, J. Comput. Inf. Technol..

Multi Filtration Feature Selection (MFFS) to improve discriminatory ability in clinical data set

S. Sasikala, S. Appavu alias Balamurugan, S. Geetha, 2016 .

A Novel Feature Selection Technique for Improved Survivability Diagnosis of Breast Cancer

S. Appavu alias Balamurugan, S. Geetha, S. Sasikala, 2015 .

An automated neural network based technique for identifying fundus hemorrhage (NNTFH)

S. Geetha, R. Karthiyayini, S. Geetha, 2020, Journal of Ambient Intelligence and Humanized Computing.

A Review of Various Methods of Predicting Cervical Cancer

S Geetha, S. Geetha, 2019, International Journal of Computer Applications.

Comparative Analysis of Machine Learning Tools: A Review

S. Sarumathi, S. Geetha, P. Ranjetha, 2021 .

Data mining application on aviation accident data for predicting topmost causes for accidents

S. Sasikala, S. Koteeswaran, N. Malarvizhi, 2017, Cluster Computing.

A predictive model using improved Normalized Point Wise Mutual Information (INPMI)

S. Appavu alias Balamurugan, S. Geetha, S. Sasikala, 2013, 2013 Eleventh International Conference on ICT and Knowledge Engineering.

Detecting Gastro-Intestinal Cancer from Wireless Capsule Endoscopy Images using Efficient Net Model

S. Geetha, S. Balamurugan, V. Sharmila, 2023, 2023 14th International Conference on Information & Communication Technology and System (ICTS).

Fuzzy-C means segmentation of lymphocytes for the identification of the differential counting of WBC

Duraiswamy Umamaheswari, Shanmugam Geetha, S. Geetha, 2021, Int. J. Cloud Comput..