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Pallavi Kulkarni
Pallavi Kulkarni
Researcher
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Year
Diagnosis and classification of grape leaf diseases using neural networks
SS Sannakki, VS Rajpurohit, VB Nargund, P Kulkarni
2013 Fourth International Conference on Computing, Communications and …, 2013
2622013
Incremental learning from unbalanced data with concept class, concept drift and missing features: a review
P Kulkarni, R Ade
International Journal of Data Mining & Knowledge Management Process 4 (6), 15, 2014
332014
Logistic regression learning model for handling concept drift with unbalanced data in credit card fraud detection system
P Kulkarni, R Ade
Proceedings of the Second International Conference on Computer and …, 2016
232016
Prediction of student’s performance based on incremental learning
P Kulkarni, R Ade
International Journal of Computer Applications 99 (14), 10-16, 2014
212014
A review on echocardiographic image speckle reduction filters
P Kulkarni, D Madathil
Biomed. Res 29 (12), 2582-2589, 2018
102018
Adaptive thresholding method for speckle reduction of echocardiographic images
P Kulkarni, D Madathil
IETE Journal of Research 68 (2), 1034-1042, 2022
62022
A review of echocardiographic image segmentation techniques for left ventricular study
P Kulkarni, D Madathil
ARPN J. Eng. Appl. Sci 13 (10), 3536-3541, 2018
62018
Metalloprotease ADAM9 cleaves ephrin-B ligands and differentially regulates Wnt and mTOR signaling downstream of Akt kinase in colorectal cancer cells
P Chandrasekera, M Perfetto, C Lu, M Zhuo, H Bahudhanapati, J Li, ...
Journal of Biological Chemistry 298 (8), 2022
52022
Echocardiography image segmentation using semi‐automatic numerical optimisation method based on wavelet decomposition thresholding
P Kulkarni, D Madathil
International Journal of Imaging Systems and Technology 31 (4), 2295-2304, 2021
52021
An evaluation of knowledge, attitude and practice of rational antibiotic usage and antibiotic resistance among interns in a teaching tertiary care hospital: A cross-sectional …
P Kulkarni, A Kuruvilla, R Roy, I Ravi
Indian Journal of Pharmacy and Pharmacology 4 (4), 192-7, 2017
5*2017
Fully automatic segmentation of LV from echocardiography images and calculation of ejection fraction using deep learning
P Kulkarni, D Madathil
International Journal of Biomedical Engineering and Technology 40 (3), 241-261, 2022
42022
Learning from Unbalanced Stream Data in Non-Stationary Environments Using Logistic Regression Model: A Novel Approach Using Machine Learning for Assessment of Credit Card Frauds
PD Kulkarni, R Ade
Handbook of Research on Natural Computing for Optimization Problems, 561-582, 2016
32016
Evaluation of Credit Card Threats using Incremental Learning Approach
P Kulkarni, R Ade
Communication on Applied Electronics 1 (4), 2015
22015
Pharmacology quiz as a competency based learning tool for undergraduates: Assessment of students’ attitude and feedback
P Kulkarni, R Roy, K Alice, R Indla
IP International Journal of Comprehensive and Advanced Pharmacology 7 (3 …, 2023
12023
Role of supportive drugs in the management of urinary tract infections in hospital settings-A prospective observational study
P Kulkarni, A Kuruvilla, R Roy
National Journal of Physiology, Pharmacy and Pharmacology 9 (4), 299-299, 2019
12019
Challenging Today’s Water Threats for a Tenable Tomorrow: A Review of Policies and
E Kale, P Kulkarni
2022
The effectiveness of role-play videos as an auxiliary tool to teach pharmacology to medical undergraduates and to assess their perception
R Roy, A Kuruvilla, R Indla, T Chinnathambi, VR Ravin, P Kulkarni
Journal of Research in Medical Education & Ethics 10 (1), 26-34, 2020
2020
INCREMENTAL LEARNING FROM UNBALANCED DATA WITH CONCEPT CLASS, CONCEPT DRIFT AND MISSING FEATURES: A
P Kulkarni, R Ade
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