Theodora Chaspari

Orcid: 0000-0002-7603-8633

According to our database1, Theodora Chaspari authored at least 94 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
An Engineering View on Emotions and Speech: From Analysis and Predictive Models to Responsible Human-Centered Applications.
Proc. IEEE, October, 2023

Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers.
Frontiers Digit. Health, March, 2023

Assessing Daily Activity Routines Using an Unsupervised Approach in a Smart Home Environment.
J. Comput. Civ. Eng., January, 2023

Editorial: Special Issue on Unobtrusive Physiological Measurement Methods for Affective Applications.
IEEE Trans. Affect. Comput., 2023

Few-Shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network With Adaptive Sample Pair Formation.
IEEE Trans. Affect. Comput., 2023

Linguistic and Vocal Markers of Microbehaviors Between Team Members During Analog Space Exploration Missions.
IEEE Pervasive Comput., 2023

Demo: EMSAssist - An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

EMSAssist: An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

4th International Workshop on Multimodal Affect and Aesthetic Experience.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Toward Privacy-Enhancing Ambulatory-Based Well-Being Monitoring: Investigating User Re-Identification Risk in Multimodal Data.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Knowledge-Driven Vowel-Based Approach of Depression Classification from Speech Using Data Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Human-AI Collaboration for the Detection of Deceptive Speech.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

Affective Computing for Mental Wellbeing: Challenges, Opportunities, and Promising Synergies.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

2022
Predicting the Macronutrient Composition of Mixed Meals From Dietary Biomarkers in Blood.
IEEE J. Biomed. Health Informatics, 2022

Exploring Individual Differences of Public Speaking Anxiety in Real-Life and Virtual Presentations.
IEEE Trans. Affect. Comput., 2022

Capturing Environmental Distress of Pedestrians Using Multimodal Data: The Interplay of Biosignals and Image-Based Data.
J. Comput. Civ. Eng., 2022

A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationships.
CoRR, 2022

Toward Knowledge-Driven Speech-Based Models of Depression: Leveraging Spectrotemporal Variations in Speech Vowels.
CoRR, 2022

Evaluating Just-In-Time Vibrotactile Feedback for Communication Anxiety.
Proceedings of the International Conference on Multimodal Interaction, 2022

Multimodal Affect and Aesthetic Experience.
Proceedings of the International Conference on Multimodal Interaction, 2022

Toward Sensor-Based Early Diagnosis of Cognitive Impairment using Poisson Process Models.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Digital Twin City Model for Capturing Walkability Distress of Elderly Adults.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

Explainable Prediction of Pedestrians' Distress in the Urban Built Environment.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Preserving Mental Health Information in Speech Anonymization.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, ACII 2022, 2022

Investigating the Interplay Between Self-Reported and Bio-Behavioral Measures of Stress: A Pilot Study of Civilian Job Interviews with Military Veterans.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021
Assessment of Daily Routine Uniformity in a Smart Home Environment Using Hierarchical Clustering.
IEEE J. Biomed. Health Informatics, 2021

Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality.
J. Comput. Civ. Eng., 2021

Personalized Meal Classification Using Continuous Glucose Monitors.
Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

Investigating Trust in Human-Machine Learning Collaboration: A Pilot Study on Estimating Public Anxiety from Speech.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Knowledge- and Data-Driven Models of Multimodal Trajectories of Public Speaking Anxiety in Real and Virtual Settings.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Workshop on Multimodal Affect and Aesthetic Experience.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Towards The Development of Subject-Independent Inverse Metabolic Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Sparse Coding Approach to Automatic Diet Monitoring with Continuous Glucose Monitors.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Sub-Population Specific Models of Couples' Conflict.
ACM Trans. Internet Techn., 2020

Evaluating Routine Variability of Daily Activities in Smart Homes with Image Complexity Measures.
J. Comput. Civ. Eng., 2020

Environmental Distress and Physiological Signals: Examination of the Saliency Detection Method.
J. Comput. Civ. Eng., 2020

Investigating Group-Specific Models of Hospital Workers' Well-Being: Implications for Algorithmic Bias.
Int. J. Semantic Comput., 2020

A Review of Generalizable Transfer Learning in Automatic Emotion Recognition.
Frontiers Comput. Sci., 2020

Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs.
CoRR, 2020

A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition.
CoRR, 2020

An adversarial learning framework for preserving users' anonymity in face-based emotion recognition.
CoRR, 2020

Saliency detection analysis of collective physiological responses of pedestrians to evaluate neighborhood built environments.
Adv. Eng. Informatics, 2020

Assessing ADL Routine Variability from High-dimensional Sensing Data using Hierarchical Clustering.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

Preserving Privacy in Image-based Emotion Recognition through User Anonymization.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Multimodal Affect and Aesthetic Experience.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Predicting the Effectiveness of Systematic Desensitization Through Virtual Reality for Mitigating Public Speaking Anxiety.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Exploring Bio-Behavioral Signal Trajectories of State Anxiety During Public Speaking.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Reinforcement Learning using EEG signals for Therapeutic Use of Music in Emotion Management.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition Kexin Feng.
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

2019
Single- and multi-label classification of construction objects using deep transfer learning methods.
J. Inf. Technol. Constr., 2019

Machine Learning-based Irrigation Control Optimization.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

Capturing Regularity of ADL Routines Using Hierarchical Clustering Models.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

Measuring Routine Variability of Daily Activities with Image Complexity Metrics.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

Low-Resource Language Identification From Speech Using Transfer Learning.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Detecting Changes in User Behavior to Understand Interaction Provenance during Visual Data Analysis.
Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

Exploring Transfer Learning between Scripted and Spontaneous Speech for Emotion Recognition.
Proceedings of the International Conference on Multimodal Interaction, 2019

An Attention-aware Bidirectional Multi-residual Recurrent Neural Network (Abmrnn): A Study about Better Short-term Text Classification.
Proceedings of the IEEE International Conference on Acoustics, 2019

Estimating Public Speaking Anxiety from Speech Signals Using Unsupervised Transfer Learning.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Predicting the meal macronutrient composition from continuous glucose monitors.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Leveraging transfer learning techniques for classifying infant vocalizations.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Virtual reality interfaces and population-specific models to mitigate public speaking anxiety.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

Population-Specific and Personalized (PSP) Models of Human Behavior for Leveraging Smart and Connected Data.
Proceedings of the Smart Data: State-of-the-Art Perspectives in Computing and Applications, 2019

2018
Automated ergonomic risk monitoring using body-mounted sensors and machine learning.
Adv. Eng. Informatics, 2018

Population-specific Detection of Couples' Interpersonal Conflict using Multi-task Learning.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Human-Habitat for Health (H3): Human-habitat Multimodal Interaction for Promoting Health and Well-being in the Internet of Things Era.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Exploring Siamese Neural Network Architectures for Preserving Speaker Identity in Speech Emotion Classification.
Proceedings of the 4th International Workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction, 2018

Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Signal Processing and Machine Learning for Mental Health Research and Clinical Applications [Perspectives].
IEEE Signal Process. Mag., 2017

Using Multimodal Wearable Technology to Detect Conflict among Couples.
Computer, 2017

Quantifying regulation mechanisms in dating couples through a dynamical systems model of acoustic and physiological arousal.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A knowledge-driven framework for ECG representation and interpretation for wearable applications.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Exploring sparse representation measures of physiological synchrony for romantic couples.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016
Markov Chain Monte Carlo Inference of Parametric Dictionaries for Sparse Bayesian Approximations.
IEEE Trans. Signal Process., 2016

An Acoustic Analysis of Child-Child and Child-Robot Interactions for Understanding Engagement during Speech-Controlled Computer Games.
Proceedings of the Interspeech 2016, 2016

Pathological speech processing: State-of-the-art, current challenges, and future directions.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

EDA-gram: Designing electrodermal activity fingerprints for visualization and feature extraction.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Speech and language processing for mental health research and care.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Dynamical Systems Modeling of Acoustic and Physiological Arousal in Young Couples.
Proceedings of the 2016 AAAI Spring Symposia, 2016

2015
Sparse Representation of Electrodermal Activity With Knowledge-Driven Dictionaries.
IEEE Trans. Biomed. Eng., 2015

Analysis and modeling of the role of laughter in motivational interviewing based psychotherapy conversations.
Proceedings of the INTERSPEECH 2015, 2015

Exploring Children's Verbal and Acoustic Synchrony: Towards Promoting Engagement in Speech-Controlled Robot-Companion Games.
Proceedings of the 1st Workshop on Modeling INTERPERsonal SynchrONy And infLuence, 2015

Quantifying EDA synchrony through joint sparse representation: A case-study of couples' interactions.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
A non-homogeneous poisson process model of Skin Conductance Responses integrated with observed regulatory behaviors for Autism intervention.
Proceedings of the IEEE International Conference on Acoustics, 2014

Emotion classification of speech using modulation features.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Multi-band long-term signal variability features for robust voice activity detection.
Proceedings of the INTERSPEECH 2013, 2013

Analyzing the structure of parent-moderated narratives from children with ASD using an entity-based approach.
Proceedings of the INTERSPEECH 2013, 2013

Acoustic-prosodic, turn-taking, and language cues in child-psychologist interactions for varying social demand.
Proceedings of the INTERSPEECH 2013, 2013

Classifying language-related developmental disorders from speech cues: the promise and the potential confounds.
Proceedings of the INTERSPEECH 2013, 2013

Using physiology and language cues for modeling verbal response latencies of children with ASD.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Interplay between verbal response latency and physiology of children with autism during ECA interactions.
Proceedings of the INTERSPEECH 2012, 2012

An acoustic analysis of shared enjoyment in ECA interactions of children with autism.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Analyzing the Nature of ECA Interactions in Children with Autism.
Proceedings of the INTERSPEECH 2011, 2011


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