Action recognition using joint coordinates of 3D skeleton data. - Tamal Batabyal; Tanushyam Chattopadhyay; Dipti Prasad Mukherjee (ICIP, 2015)

UGraSP: A unified framework for activity recognition and person identification using graph signal processing. - Tamal Batabyal; Andrea Vaccari; Scott T. Acton (ICIP, 2015)

Graph-based classification of healthcare provider activity. - Nasrin Sadeghzadehyazdi; Tamal Batabyal; Laura E. Barnes; Scott T. Acton (ACSSC, 2016)

UGrAD: A graph-theoretic framework for classification of activity with complementary graph boundary detection. - Tamal Batabyal; Scott T. Acton; Andrea Vaccari (ICIP, 2016)

LaWeCo: Active region detection in non-uniformly sampled data using Laplacian-weighted covariance. - Tamal Batabyal; Andrea Vaccari; Scott T. Acton (SSIAI, 2016)

GraDED: A graph-based parametric dictionary learning algorithm for event detection. - Tamal Batabyal; Rituparna Sarkar; Scott T. Acton (ICIP, 2017)

NeuroSoL: Automated classification of neurons using the sorted Laplacian of a graph. - Tamal Batabyal; Scott T. Acton (ISBI, 2017)

Elastic Path2Path: Automated Morphological Classification of Neurons by Elastic Path Matching. - Tamal Batabyal; Scott T. Acton (ICIP, 2018)

NeuroBFD: Size-independent automated classification of neurons using conditional distributions of morphological features. - Tamal Batabyal; Andrea Vaccari; Scott T. Acton (ISBI, 2018)

DDT: Decentralized event Detection and Tracking using an ensemble of vertex-reinforced walks on a graph. - Tamal Batabyal (SSIAI, 2018)

Glidar3DJ: a View-Invariant Gait Identification via Flash Lidar Data Correction. - Nasrin Sadeghzadehyazdi; Tamal Batabyal; Alexander Glandon; Nibir K. Dhar; B. O. Familoni; Khan M. Iftekharuddin; Scott T. Acton (ICIP, 2019)

Lcuts: Linear Clustering of Bacteria Using Recursive Graph Cuts. - Jie Wang 061; Tamal Batabyal; Mingxing Zhang; Ji Zhang; Arslan Aziz; Andreas Gahlmann; Scott T. Acton (ICIP, 2019)

GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data. - Nasrin Sadeghzadehyazdi; Tamal Batabyal; Nibir K. Dhar; B. O. Familoni; Khan M. Iftekharuddin; Scott T. Acton (CoRR, 2019)

Hieroglyph: Hierarchical Glia Graph Skeletonization and Matching. - Tiffany T. Ly; Tamal Batabyal; Jeremy Thompson; Tajie H. Harris; Daniel S. Weller; Scott T. Acton (ACSSC, 2020)

An efficient convolutional neural network for coronary heart disease prediction. - Aniruddha Dutta; Tamal Batabyal; Meheli Basu; Scott T. Acton (Expert Syst. Appl., 2020)

NeuroPath2Path: Classification and elastic morphing between neuronal arbors using path-wise similarity. - Tamal Batabyal; Barry G. Condron; Scott T. Acton (Neuroinformatics, 2020)

Cellcounter: a deep learning framework for high-fidelity spatial localization of neurons. - Tamal Batabyal; Aijaz Ahmad Naik; Daniel S. Weller; Jaideep Kapur (CoRR, 2021)

Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network. - Nasrin Sadeghzadehyazdi; Tamal Batabyal; Scott T. Acton (Expert Syst. Appl., 2021)

Using Skeleton Correction to Improve Flash Lidar-based Gait Recognition. - Nasrin Sadeghzadehyazdi; Tamal Batabyal; Alexander Glandon; Nibir K. Dhar; Babajide O. Familoni; Khan Iftekharuddin; Scott T. Acton (Appl. Artif. Intell., 2022)

Efficient Learning of Transform-Domain LMS Filter Using Graph Laplacian. - Tamal Batabyal; Daniel S. Weller; Jaideep Kapur; Scott T. Acton (IEEE Trans. Neural Networks Learn. Syst., 2023)