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Dr. Srilatha Chebrolu
Dr. Srilatha Chebrolu
Assistant Professor, NIT Andhra Pradesh
Verified email at nitandhra.ac.in
Title
Cited by
Cited by
Year
Attribute reduction on continuous data in rough set theory using ant colony optimization metaheuristic
S Chebrolu, SG Sanjeevi
Proceedings of the Third International Symposium on Women in Computing and …, 2015
172015
Attribute reduction in decision-theoretic rough set model using particle swarm optimization with the threshold parameters determined using LMS training rule
S Chebrolu, SG Sanjeevi
Procedia Computer Science 57, 527-536, 2015
172015
Attribute reduction on real-valued data in rough set theory using hybrid artificial bee colony: extended FTSBPSD algorithm
S Chebrolu, SG Sanjeevi
Soft Computing 21, 7543-7569, 2017
152017
Attribute reduction in decision-theoretic rough set models using genetic algorithm
S Chebrolu, SG Sanjeevi
Swarm, Evolutionary, and Memetic Computing: Second International Conference …, 2011
102011
Forward tentative selection with backward propagation of selection decision algorithm for attribute reduction in rough set theory
S Chebrolu, SG Sanjeevi
International Journal of Reasoning-based Intelligent Systems 7 (3-4), 221-243, 2015
52015
Image Classification of Ischemic Stroke Blood Clot Origin using Stacked EfficientNet-B0, VGG19 and ResNet-152
MVSR Rao, S Puligundla, NS Ekkala, S Chebrolu
2023 Third International Conference on Secure Cyber Computing and …, 2023
32023
Cassava leaf disease detection using ensembling of EfficientNet, SEResNeXt, ViT, DeIT and MobileNetV3 models
H Kumar, S Velu, A Lokesh, K Suman, S Chebrolu
Proceedings of the International Conference on Paradigms of Computing …, 2023
22023
Rough set theory for discretization based on boolean reasoning and genetic algorithm
S Chebrolu, SG Sanjeevi
Int J Comput Corp Res 2 (1), 75-86, 2012
22012
Identification and Localization of COVID-19 Abnormalities on Chest Radiographs using Ensembled Deep Neural Networks
M Kommidi, A Chinta, TK Dachepally, S Chebrolu
2022 1st International Conference on the Paradigm Shifts in Communication …, 2022
12022
Extractive and abstractive text summarization model fine-tuned based on bertsum and bio-bert on covid-19 open research articles
JLD Nunna, VK Hanuman Turaga, S Chebrolu
International Conference on Machine Learning and Big Data Analytics, 213-223, 2022
12022
Classification of imbalanced multi-label leaf diseases using CaRiT: class attention enabled RegionViT
C Nikhila Nagajyothi, L Oommen, S Chebrolu
Multimedia Tools and Applications, 1-28, 2023
2023
Ensemble Model of U-Net EfficientNet-B3, U-Net EfficientNet B6, CoaT, SegFormer for Segmenting Functional Tissue Units in Various Human Organs
GV Bharadwaj, YR Sree, JL Varshita, S Chebrolu
2023 14th International Conference on Computing Communication and Networking …, 2023
2023
Gastro-Intestinal Tract Image Segmentation using Edge U-Net and U-Net VGG19
S Talakola, MS Reddy, R Nagam, S Chebrolu
2023 International Conference on Computer, Electronics & Electrical …, 2023
2023
Parallel Computation of Probabilistic Rough Set Approximations
VKH Turaga, S Chebrolu
Proceedings of International Conference on Computational Intelligence: ICCI …, 2022
2022
Localization and Classification of Thoracic Abnormalities from Chest Radiographs Using Deep Ensemble Model
SV Nallam, N Raj, M Velpula, S Chebrolu
International Conference on Frontiers of Intelligent Computing: Theory and …, 2022
2022
Brain Tumor Prediction from MRI Images Using an Ensemble Model Based on EfficientNet-B2, B4, and ResNet34 Architectures
J Singh, GP Lakhotia, A Shiva, S Chebrolu
International Conference on Frontiers of Intelligent Computing: Theory and …, 2022
2022
3d Se-Res-Unet: Squeeze-Excitation Enhanced Residual Unet for Brain Tumor Segmentation in Multi-Modal MRI Scans
P MA, S Chebrolu, E Jangam
Available at SSRN 4768655, 0
Analysis of Decision-Theoretic Rough Set Model Based on Error Rate
S Chebrolu, SG Ssnjeevi
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