Publications
Journal Articles
Hera Siddiqui, Chaity Banerjee, Erik Blasch, Eduardo Pasiliao, Tathagata Mukherjee “Deep Feature Learning with Concatenated Rectified Pooling Units” Accepted in IEEE Journal of Big data Mining & Analytics (Impact factor 7)
Chaity Banerjee, Tharun Kumar Doppalapudi, Eduardo Pasiliao Jr., {\bf Tathagata Mukherjee} “Camera Identification Using Image Based Deep Feature Signatures” In IEEE Journal of Big Data Mining & Analytics, Volume 5, Number 3, Pages: 206-227, Year 2022 (Impact Factor 7)
Muthukumaran Ramaburamanian, Chaity Banerjee, Debashri Roy, Eduardo Pasiliao Jr., Tathagata Mukherjee “Exploiting Spatio-Temporal Properties of I/Q Signal Data using 3D Convolution for RF Transmitter Identification” In IEEE Journal of Radio Frequency Identification, Volume 5, Number 2, Pages: 113-127, Year 2021
Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao Jr. “Feature Representations using the Reflected ReLU Activation” In IEEE Journal of Big Data Mining & Analytics, Volume 3, Number 2, Year 2020 (Impact factor 7)
Chaity Banerjee, Tathagata Mukherjee, Chad Lilian, Daniel Reasor, Xiuwen Liu and Eduardo Pasiliao “A Feature Selection Algorithm Using Neural Networks” In International Journal of Machine Learning & Computing (IJMLC), Accepted 2019, Published 2022, Volume 12, Number 1, Pages: 31-36, ISSN: 2010-3700, DOI: 10.18178/ijmlc.2022.12.1.1075
Chaity Banerjee, Moumita Dutta, Xiuwen Liu, Ken Roux, Kenneth A. Taylor “Segmentation by Classification: A Novel and Reliable Approach for Semi-Automatic Selection of HIV/SIV Envelope Spikes” In Journal of Structural Biology 2019
Chaity Banerjee, Zhongjun Hu, Zhong Huang, James A Warrington, Dianne W Taylor, Kathleen M Trybus, Susan Lowey, Kenneth A. Taylor “The Structure of the Actin-Smooth Muscle Myosin Motor Domain Complex in the Rigor State” In Journal of Structural Biology 2017
Conference Articles
Benjamin Robinson, Chaity Banerjee, Eduardo Pasiliao, Tathagata Mukherjee “A Deep Time Dilation Framework for Predicting Missing Information from Time Series Data” In IEEE AIIoT 2025
Srivani Athmakur, Shania Shakri, Chaity Banerjee “Segmentation of Impervious Areas from High Altitude Aerial Images using a Regularized UNet Framework” In IEEE SoutheastCon 2025
Alexander Semenov, Chaity Banerjee Mukherjee, Vladimir Boginski, Eduardo Pasiliao, Tathagata Mukherjee “Gradient Upsampling for Enhanced Image Resolution and Classification” In Proceedings of CSoNet 2024
Vishal Parekadan, Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao Jr. Hovannes Kulhandjian, Mickel Kulhandjian, “MOD3NN: A Framework for Automatic Signal Modulation Detection Using 3D CNN” In Proceedings of FLAIRS 2023
Digya Acharya, Hera Siddiqui, Eduardo Pasiliao, Chaity Banerjee “Mutually Exclusive Learning for Generators with Multi-Label Classifiers” In Proceedings of IEEE Big Data 2023
Nikita Susan Joseph, Chaity Banerjee, Daniel Reasor, Eduardo Pasiliao, Tathagata Mukherjee “Mesh Based Neural Networks for Estimating High Fidelity CFD from Low Fidelity Input” In Proceedings of IEEE SoutheastCon 2022
Chaity Banerjee, Chad Lilian, Daniel Reasor, Eduardo Pasiliao, Tathagata Mukherjee “An Application of Generative Adversarial Networks for Robust Inference in Computational Fluid Dynamics” In Proceedings of International Conference on Information Systems & Data Mining 2021 (Published by ACM)
Nikita Susan Joseph, Chaity Banerjee Mukherjee, Eduardo Pasiliao Jr., Tathagata Mukherjee “FlightSense: A Spoofer Detection and Aircraft Identification System using Raw ADS-B Data” In Proceedings of IEEE International Conference on Big Data 2020
(POSTER) Nikita Susan Joseph, Chaity Banerjee Mukherjee, Eduardo Pasiliao Jr., Tathagata Mukherjee “A Robust Learning Framework For Aircraft Identification Using ADS-B I/Q Information” Presented at Von Braun Symposium 2020
Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao “The Multi-phase ReLU Activation Function” In Proceedings of ACM Southeast (ACMSE) Conference 2020
Vaidyanath Areyur Shanthakumar, Chaity Banerjee, Eduardo Pasiliao Jr., Tathagata Mukherjee, “Uncooperative Direction Finding with Neural Networks using I/Q Information” In Proceedings of International Conference on Information Systems & Data Mining 2020
Vishal Perekadan, Tathagata Mukherjee, Chaity Banerjee, Eduardo Pasiliao Jr. “RF-MSiP: Radio Frequency Multi-Source Indoor Positioning with FM & GSM” In Proceedings of IEEE International Conference on Big Data 2019
(POSTER) Vishal Perekadan, Tathagata Mukherjee, Chaity Banerjee, Eduardo Pasiliao Jr. “RF-MSP: Radio Frequency Based Multi-Source Positioning in Indoor Environments” Presented at Von Braun Symposium, American Astronautical Society, 2019
Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao “An Empirical Study on Generalizations of the ReLU Activation Function” In Proceedings of ACM Southeast (ACMSE) Conference 2019
Nan Zhao, Chaity Banerjee, Xiuwen Liu “Nano-scale context-sensitive semantic segmentation” In IEEE International Conference on Image Processing (ICIP) 2015
Chaity Banerjee, Hanspeter Winkler, Moumita Dutta, Xiuwen Liu, Kenneth A. Taylor “An Accurate and Reliable Method for Automatic Picking of HIV/SIV Spikes” IEEE International Conference on Bioinformatics & Biomedicine 2011
Patents
- Method for Identification of Impervious Surfaces from Satellite Imaging (Patent application under preparation)
Talks
Invited Speaker at Taylor Symposium 2022, Florida State University, Tallahassee, Florida
Invited Speaker at International Symposium on Biomedical Engineering and Computational Biology 2022, China