A multi-label convolutional neural network approach to cross-domain action unit detection. - Sayan Ghosh 004; Eugene Laksana; Stefan Scherer; Louis-Philippe Morency (ACII, 2015)

Learning Representations of Affect from Speech. - Sayan Ghosh 004; Eugene Laksana; Louis-Philippe Morency; Stefan Scherer (CoRR, 2015)

An unsupervised approach to glottal inverse filtering. - Sayan Ghosh 004; Eugene Laksana; Louis-Philippe Morency; Stefan Scherer (EUSIPCO, 2016)

Representation Learning for Speech Emotion Recognition. - Sayan Ghosh 004; Eugene Laksana; Louis-Philippe Morency; Stefan Scherer (INTERSPEECH, 2016)

Affect-LM: A Neural Language Model for Customizable Affective Text Generation. - Sayan Ghosh 004; Mathieu Chollet; Eugene Laksana; Louis-Philippe Morency; Stefan Scherer (ACL (1), 2017)

Investigating Facial Behavior Indicators of Suicidal Ideation. - Eugene Laksana; Tadas Baltrusaitis; Louis-Philippe Morency; John P. Pestian (FG, 2017)

Computational Analysis of Acoustic Descriptors in Psychotic Patients. - Torsten Wörtwein; Tadas Baltrusaitis; Eugene Laksana; Luciana Pennant; Elizabeth S. Liebson; Dost Öngür; Justin T. Baker; Louis-Philippe Morency (INTERSPEECH, 2017)

The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks. - Eugene Laksana; Melissa Aczon; Long Van Ho; Cameron Carlin; David R. Ledbetter; Randall C. Wetzel (CoRR, 2019)

The impact of extraneous features on the performance of recurrent neural network models in clinical tasks. - Eugene Laksana; Melissa Aczon; Long Van Ho; Cameron Carlin; David R. Ledbetter; Randall C. Wetzel (J. Biomed. Informatics, 2020)

Improving Recurrent Neural Network Responsiveness to Acute Clinical Events. - David R. Ledbetter; Eugene Laksana; Melissa Aczon; Randall C. Wetzel (IEEE Access, 2021)

Narrowing the gap: expected versus deployment performance. - Alice X. Zhou; Melissa D. Aczon; Eugene Laksana; David R. Ledbetter; Randall C. Wetzel (J. Am. Medical Informatics Assoc., 2023)

A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony. - Ishmael Obeso; Benjamin Yoon; David R. Ledbetter; Melissa Aczon; Eugene Laksana; Alice X. Zhou; R. Andrew Eckberg; Keith Mertan; Robinder G. Khemani; Randall C. Wetzel (Biomed. Signal Process. Control., 2023)