Theodora Chaspari

发表

Leveraging transfer learning techniques for classifying infant vocalizations

Aditya Gujral, Kexin Feng, Gulshan Mandhyan, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

An adversarial learning framework for preserving users' anonymity in face-based emotion recognition pdf

Zhangyang Wang, Theodora Chaspari, Vansh Narula, 2020, ArXiv.

Environmental Distress and Physiological Signals: Examination of the Saliency Detection Method

Megha Yadav, Changbum R. Ahn, Theodora Chaspari, 2020, J. Comput. Civ. Eng..

Saliency Detection Analysis of Pedestrians’ Physiological Responses to Assess Adverse Built Environment Features

Megha Yadav, Changbum R. Ahn, Theodora Chaspari, 2019, Computing in Civil Engineering 2019.

Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality

Nazmus Sakib, Amir H. Behzadan, Md. Nazmus Sakib, 2021, J. Comput. Civ. Eng..

Capturing Occupant Routine Behaviors in Smart Home Environment Using Hierarchical Clustering Models

Changbum R. Ahn, Theodora Chaspari, Prakhar Mohan, 2020 .

Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals

Ricardo Gutierrez-Osuna, Bobak Mortazavi, Ashutosh Sabharwal, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Low-Resource Language Identification From Speech Using Transfer Learning

Kexin Feng, Theodora Chaspari, Theodora Chaspari, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

Assessing ADL Routine Variability from High-dimensional Sensing Data using Hierarchical Clustering

Theodora Chaspari, Prakhar Mohan, Bogyeong Lee, 2020, BuildSys@SenSys.

Estimating Public Speaking Anxiety from Speech Signals Using Unsupervised Transfer Learning

Megha Yadav, Md. Nazmus Sakib, Kexin Feng, 2019, 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Predicting the Effectiveness of Systematic Desensitization Through Virtual Reality for Mitigating Public Speaking Anxiety

Amir H. Behzadan, Theodora Chaspari, Margaret von Ebers, 2020, ICMI.

Single- and multi-label classification of construction objects using deep transfer learning methods

Amir H. Behzadan, Theodora Chaspari, Nipun D. Nath, 2019, J. Inf. Technol. Constr..

Predicting the meal macronutrient composition from continuous glucose monitors

Ricardo Gutierrez-Osuna, Theodora Chaspari, Bobak J. Mortazavi, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Multimodal Affect and Aesthetic Experience

Theodora Chaspari, Theodoros Kostoulas, Panos Amelidis, 2020, ICMI.

Preserving Privacy in Image-based Emotion Recognition through User Anonymization

Kexin Feng, Theodora Chaspari, Vansh Narula, 2020, ICMI.

A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition Kexin Feng

Kexin Feng, Theodora Chaspari, 2020, AffCon@AAAI.

Reinforcement Learning using EEG signals for Therapeutic Use of Music in Emotion Management

Theodora Chaspari, Bobak J. Mortazavi, Esha Dutta, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions

Shrikanth Narayanan, Shrikanth S. Narayanan, Brandon M. Booth, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Virtual reality interfaces and population-specific models to mitigate public speaking anxiety

Megha Yadav, Md. Nazmus Sakib, Kexin Feng, 2019, 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII).