Nano-scale context-sensitive semantic segmentation. - Nan Zhao; Chaity Banerjee; Xiuwen Liu (ICIP, 2015)

An Empirical Study on Generalizations of the ReLU Activation Function. - Chaity Banerjee; Tathagata Mukherjee; Eduardo Pasiliao Jr. (ACM Southeast Regional Conference, 2019)

RF-MSiP: Radio Frequency Multi-source Indoor Positioning. - Vishal Perekadan; Tathagata Mukherjee; Chaity Banerjee; Eduardo Pasiliao (IEEE BigData, 2019)

The Multi-phase ReLU Activation Function. - Chaity Banerjee; Tathagata Mukherjee; Eduardo Pasiliao (ACM Southeast Regional Conference, 2020)

FlightSense: A Spoofer Detection and Aircraft Identification System using Raw ADS-B Data. - Nikita Susan Joseph; Chaity Banerjee; Eduardo Pasiliao; Tathagata Mukherjee (IEEE BigData, 2020)

Uncooperative RF Direction Finding with I/Q Data. - Vaidyanath Areyur Shanthakumar; Chaity Banerjee; Tathagata Mukherjee; Eduardo Pasiliao (ICISDM, 2020)

Feature representations using the reflected rectified linear unit (RReLU) activation. - Chaity Banerjee; Tathagata Mukherjee; Eduardo Pasiliao (Big Data Min. Anal., 2020)

An Application of Generative Adversarial Networks for Robust Inference in Computational Fluid Dynamics. - Chaity Banerjee; Chad Lilian; Daniel Reasor; Eduardo Pasiliao; Tathagata Mukherjee (ICISDM, 2021)

Deep Feature Learning for Intrinsic Signature Based Camera Discrimination. - Chaity Banerjee; Tharun Kumar Doppalapudi; Eduardo Pasiliao; Tathagata Mukherjee (Big Data Min. Anal., 2022)

Mutually Exclusive Learning for Generators with Multi-Label Classifiers. - Digya Acharya; Hera Siddiqui; Eduardo Pasiliao; Chaity Banerjee (IEEE Big Data, 2023)

MOD3NN: A Framework for Automatic Signal Modulation Detection Using 3D CNN. - Vishal Perekadan; Chaity Banerjee; Tathagata Mukherjee; Eduardo Pasiliao; Hovannes Kulhandjian; Michel Kulhandjian (FLAIRS, 2023)