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ORCIDSai Pradeep Chakka
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2020 – today
- 2024
[j1]Sai Pradeep Chakka
, Neelam Sinha:
CAM based fine-grained spatial feature supervision for hierarchical yoga pose classification using multi-stage transfer learning. Expert Syst. Appl. 249: 123625 (2024)- [c13]Chakka Sai Pradeep, Neelam Sinha:
Time-Invariant Latent Space Signatures for Enhanced Time-Frequency Domain Representation. IJCNN 2024: 1-8 - [c12]Ameiy Acharya, Chakka Sai Pradeep, Neelam Sinha:
Localizing and Assessing Node Significance in Default Mode Network Using Sub-Community Detection in Mild Cognitive Impairment. ISBI 2024: 1-4 - [c11]Ninad Aithal, Chakka Sai Pradeep, Neelam Sinha:
MCI Detection Using FMRI Time Series Embeddings of Recurrence Plots. ISBI 2024: 1-4 - [i5]Sneha Noble, Chakka Sai Pradeep, Neelam Sinha, Thomas Gregor Issac:
Classification of Alzheimer's Dementia vs. Healthy subjects by studying structural disparities in fMRI Time-Series of DMN. CoRR abs/2407.19990 (2024) - 2023
- [c10]Chakka Sai Pradeep, Neelam Sinha:
CAM Based Fine-grained Spatial Feature Supervision On Surgical-PPE: A New Dataset For Surgical PPE Kit Presence Detection. EMBC 2023: 1-5 - [c9]Chakka Sai Pradeep, Neelam Sinha, Banibrata Mukhopadhyay:
Measuring Deviation from Stochasticity in Time-Series Using Autoencoder Based Time-Invariant Representation: Application to Black Hole Data. ICASSP 2023: 1-5 - [i4]Chakka Sai Pradeep, Neelam Sinha:
Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data. CoRR abs/2304.11560 (2023) - [i3]Sai Pradeep Chakka, Sunil Kumar Vengalil, Neelam Sinha:
Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data. CoRR abs/2307.07703 (2023) - [i2]Ninad Aithal, Chakka Sai Pradeep, Neelam Sinha:
MCI Detection using fMRI time series embeddings of Recurrence plots. CoRR abs/2311.18265 (2023) - [i1]Ameiy Acharya, Chakka Sai Pradeep, Neelam Sinha:
Localizing and Assessing Node Significance in Default Mode Network using Sub-Community Detection in Mild Cognitive Impairment. CoRR abs/2312.01768 (2023) - 2022
- [c8]Chakka Sai Pradeep, Neelam Sinha:
Fused Multilayer Layer-CAM Fine-Grained Spatial Feature Supervision for Surgical Phase Classification Using CNNs. ECCV Workshops (6) 2022: 712-726 - [c7]Poornima Jain, Chakka Sai Pradeep, Neelam Sinha:
The Complex-valued PD-net for MRI reconstruction of knee images. EMBC 2022: 2093-2096 - [c6]Sai Pradeep Chakka, Neelam Sinha:
Supervised Contrastive Multi-tasking Learning Based Hierarchical Yoga Pose Classification Using CNNs. ICVGIP 2022: 19:1-19:9 - [c5]Chakka Sai Pradeep, Neelam Sinha:
Multi-Tasking DSSD Architecture for Laparoscopic Cholecystectomy Surgical Assistance Systems. ISBI 2022: 1-4 - [c4]Snigdha Agarwal, Chakka Sai Pradeep, Neelam Sinha:
Temporal Surgical Gesture Segmentation and Classification in Multi-gesture Robotic Surgery using Fine-tuned features and Calibrated MS-TCN. SPCOM 2022: 1-5 - 2021
- [c3]Chakka Sai Pradeep, Neelam Sinha:
Spatio-Temporal Features Based Surgical Phase Classification Using CNNs. EMBC 2021: 3332-3335 - [c2]Chakka Sai Pradeep, Neelam Sinha:
Multi-stage Transfer Learning Based Yoga Pose Recognition Using CNN. PReMI 2021: 151-159
2010 – 2019
- 2018
- [c1]Chakka Sai Pradeep, R. Ramanathan:
An improved technique for Night-time Vehicle detection. ICACCI 2018: 508-513
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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