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ORCIDTamal Batabyal
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2020 – today
- 2023
[j5]Tamal Batabyal
, Daniel S. Weller, Jaideep Kapur, Scott T. Acton:
Efficient Learning of Transform-Domain LMS Filter Using Graph Laplacian. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7608-7620 (2023)- 2022
- [j4]Nasrin Sadeghzadehyazdi, Tamal Batabyal, Alexander Glandon, Nibir K. Dhar, Babajide O. Familoni, Khan Iftekharuddin, Scott T. Acton:
Using Skeleton Correction to Improve Flash Lidar-based Gait Recognition. Appl. Artif. Intell. 36(1) (2022) - 2021
- [j3]Nasrin Sadeghzadehyazdi, Tamal Batabyal, Scott T. Acton:
Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network. Expert Syst. Appl. 185: 115582 (2021) - [i3]Tamal Batabyal, Aijaz Ahmad Naik, Daniel S. Weller, Jaideep Kapur:
Cellcounter: a deep learning framework for high-fidelity spatial localization of neurons. CoRR abs/2103.10462 (2021) - 2020
- [j2]Aniruddha Dutta, Tamal Batabyal, Meheli Basu, Scott T. Acton:
An efficient convolutional neural network for coronary heart disease prediction. Expert Syst. Appl. 159: 113408 (2020) - [j1]Tamal Batabyal, Barry G. Condron, Scott T. Acton:
NeuroPath2Path: Classification and elastic morphing between neuronal arbors using path-wise similarity. Neuroinformatics 18(3): 479-508 (2020) - [c13]Tiffany T. Ly, Tamal Batabyal, Jeremy Thompson, Tajie H. Harris, Daniel S. Weller, Scott T. Acton:
Hieroglyph: Hierarchical Glia Graph Skeletonization and Matching. ACSSC 2020: 251-255
2010 – 2019
- 2019
- [c12]Jie Wang, Tamal Batabyal, Mingxing Zhang, Ji Zhang, Arslan Aziz, Andreas Gahlmann, Scott T. Acton:
Lcuts: Linear Clustering of Bacteria Using Recursive Graph Cuts. ICIP 2019: 1575-1579 - [c11]Nasrin Sadeghzadehyazdi, Tamal Batabyal, Alexander Glandon, Nibir K. Dhar, B. O. Familoni, Khan M. Iftekharuddin, Scott T. Acton:
Glidar3DJ: a View-Invariant Gait Identification via Flash Lidar Data Correction. ICIP 2019: 2606-2610 - [i2]Nasrin Sadeghzadehyazdi, Tamal Batabyal, Nibir K. Dhar, B. O. Familoni, Khan M. Iftekharuddin, Scott T. Acton:
GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data. CoRR abs/1905.07058 (2019) - [i1]Aniruddha Dutta, Tamal Batabyal, Meheli Basu, Scott T. Acton:
An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction. CoRR abs/1909.00489 (2019) - 2018
- [c10]Tamal Batabyal, Scott T. Acton:
Elastic Path2Path: Automated Morphological Classification of Neurons by Elastic Path Matching. ICIP 2018: 166-170 - [c9]Tamal Batabyal, Andrea Vaccari, Scott T. Acton:
NeuroBFD: Size-independent automated classification of neurons using conditional distributions of morphological features. ISBI 2018: 912-915 - [c8]Tamal Batabyal:
DDT: Decentralized event Detection and Tracking using an ensemble of vertex-reinforced walks on a graph. SSIAI 2018: 145-148 - 2017
- [c7]Tamal Batabyal, Rituparna Sarkar, Scott T. Acton:
GraDED: A graph-based parametric dictionary learning algorithm for event detection. ICIP 2017: 1797-1801 - [c6]Tamal Batabyal, Scott T. Acton:
NeuroSoL: Automated classification of neurons using the sorted Laplacian of a graph. ISBI 2017: 397-400 - 2016
- [c5]Nasrin Sadeghzadehyazdi, Tamal Batabyal, Laura E. Barnes, Scott T. Acton:
Graph-based classification of healthcare provider activity. ACSSC 2016: 1268-1272 - [c4]Tamal Batabyal, Scott T. Acton, Andrea Vaccari:
UGrAD: A graph-theoretic framework for classification of activity with complementary graph boundary detection. ICIP 2016: 1339-1343 - [c3]Tamal Batabyal, Andrea Vaccari, Scott T. Acton:
LaWeCo: Active region detection in non-uniformly sampled data using Laplacian-weighted covariance. SSIAI 2016: 129-132 - 2015
- [c2]Tamal Batabyal, Andrea Vaccari, Scott T. Acton:
UGraSP: A unified framework for activity recognition and person identification using graph signal processing. ICIP 2015: 3270-3274 - [c1]Tamal Batabyal, Tanushyam Chattopadhyay, Dipti Prasad Mukherjee:
Action recognition using joint coordinates of 3D skeleton data. ICIP 2015: 4107-4111
Coauthor Index
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