Analyzing the Nature of ECA Interactions in Children with Autism. - Emily Mower; Chi-Chun Lee; James Gibson; Theodora Chaspari; Marian E. Williams; Shrikanth S. Narayanan (INTERSPEECH, 2011)

An acoustic analysis of shared enjoyment in ECA interactions of children with autism. - Theodora Chaspari; Emily Mower Provost; Athanasios Katsamanis; Shrikanth S. Narayanan (ICASSP, 2012)

Interplay between verbal response latency and physiology of children with autism during ECA interactions. - Theodora Chaspari; Chi-Chun Lee; Shrikanth S. Narayanan (INTERSPEECH, 2012)

Using physiology and language cues for modeling verbal response latencies of children with ASD. - Theodora Chaspari; Daniel Bone; James Gibson; Chi-Chun Lee; Shrikanth S. Narayanan (ICASSP, 2013)

Classifying language-related developmental disorders from speech cues: the promise and the potential confounds. - Daniel Bone; Theodora Chaspari; Kartik Audhkhasi; James Gibson; Andreas Tsiartas; Maarten Van Segbroeck; Ming Li 026; Sungbok Lee; Shrikanth S. Narayanan (INTERSPEECH, 2013)

Acoustic-prosodic, turn-taking, and language cues in child-psychologist interactions for varying social demand. - Daniel Bone; Chi-Chun Lee; Theodora Chaspari; Matthew P. Black; Marian E. Williams; Sungbok Lee; Pat Levitt; Shrikanth S. Narayanan (INTERSPEECH, 2013)

Analyzing the structure of parent-moderated narratives from children with ASD using an entity-based approach. - Theodora Chaspari; Emily Mower Provost; Shrikanth S. Narayanan (INTERSPEECH, 2013)

Multi-band long-term signal variability features for robust voice activity detection. - Andreas Tsiartas; Theodora Chaspari; Nassos Katsamanis; Prasanta Kumar Ghosh; Ming Li 026; Maarten Van Segbroeck; Alexandros Potamianos; Shrikanth S. Narayanan (INTERSPEECH, 2013)

Emotion classification of speech using modulation features. - Theodora Chaspari; Dimitrios Dimitriadis; Petros Maragos (EUSIPCO, 2014)

A non-homogeneous poisson process model of Skin Conductance Responses integrated with observed regulatory behaviors for Autism intervention. - Theodora Chaspari; Matthew S. Goodwin; Oliver Wilder-Smith; Amanda Gulsrud; Charlotte A. Mucchetti; Connie Kasari; Shrikanth S. Narayanan (ICASSP, 2014)

Quantifying EDA synchrony through joint sparse representation: A case-study of couples' interactions. - Theodora Chaspari; Brian R. Baucom; Adela C. Timmons; Andreas Tsiartas; Larissa Borofsky Del Piero; Katherine J. W. Baucom; Panayiotis G. Georgiou; Gayla Margolin; Shrikanth S. Narayanan (ICASSP, 2015)

Exploring Children's Verbal and Acoustic Synchrony: Towards Promoting Engagement in Speech-Controlled Robot-Companion Games. - Theodora Chaspari; Samer Al Moubayed; Jill Fain Lehman (INTERPERSONAL@ICMI, 2015)

Analysis and modeling of the role of laughter in motivational interviewing based psychotherapy conversations. - Rahul Gupta 001; Theodora Chaspari; Panayiotis G. Georgiou; David C. Atkins; Shrikanth S. Narayanan (INTERSPEECH, 2015)

Sparse Representation of Electrodermal Activity With Knowledge-Driven Dictionaries. - Theodora Chaspari; Andreas Tsiartas; Leah I. Stein; Sharon A. Cermak; Shrikanth S. Narayanan (IEEE Trans. Biomed. Eng., 2015)

Dynamical Systems Modeling of Acoustic and Physiological Arousal in Young Couples. - Theodora Chaspari; Sohyun C. Han; Daniel Bone; Adela C. Timmons; Laura Perrone; Gayla Margolin; Shrikanth S. Narayanan (AAAI Spring Symposia, 2016)

Speech and language processing for mental health research and care. - Daniel Bone; James Gibson; Theodora Chaspari; Dogan Can; Shrikanth S. Narayanan (ACSSC, 2016)

EDA-gram: Designing electrodermal activity fingerprints for visualization and feature extraction. - Theodora Chaspari; Andreas Tsiartas; Leah I. Stein Duker; Sharon A. Cermak; Shrikanth S. Narayanan (EMBC, 2016)

Pathological speech processing: State-of-the-art, current challenges, and future directions. - Rahul Gupta 001; Theodora Chaspari; Jangwon Kim; Naveen Kumar 004; Daniel Bone; Shrikanth S. Narayanan (ICASSP, 2016)

An Acoustic Analysis of Child-Child and Child-Robot Interactions for Understanding Engagement during Speech-Controlled Computer Games. - Theodora Chaspari; Jill Fain Lehman (INTERSPEECH, 2016)

Markov Chain Monte Carlo Inference of Parametric Dictionaries for Sparse Bayesian Approximations. - Theodora Chaspari; Andreas Tsiartas; Panagiotis Tsilifis; Shrikanth S. Narayanan (IEEE Trans. Signal Process., 2016)

Exploring sparse representation measures of physiological synchrony for romantic couples. - Theodora Chaspari; Adela C. Timmons; Brian R. Baucom; Laura Perrone; Katherine J. W. Baucom; Panayiotis G. Georgiou; Gayla Margolin; Shrikanth S. Narayanan (ACII, 2017)

A knowledge-driven framework for ECG representation and interpretation for wearable applications. - Ramasubramanian Balasubramanian; Theodora Chaspari; Shrikanth S. Narayanan (ICASSP, 2017)

Quantifying regulation mechanisms in dating couples through a dynamical systems model of acoustic and physiological arousal. - Theodora Chaspari; Sohyun C. Han; Daniel Bone; Adela C. Timmons; Laura Perrone; Gayla Margolin; Shrikanth S. Narayanan (ICASSP, 2017)

Using Multimodal Wearable Technology to Detect Conflict among Couples. - Adela C. Timmons; Theodora Chaspari; Sohyun C. Han; Laura Perrone; Shrikanth S. Narayanan; Gayla Margolin (Computer, 2017)

Signal Processing and Machine Learning for Mental Health Research and Clinical Applications [Perspectives]. - Daniel Bone; Chi-Chun Lee; Theodora Chaspari; James Gibson; Shrikanth S. Narayanan (IEEE Signal Process. Mag., 2017)

Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals. - Niraj Goel; Theodora Chaspari; Bobak Jack Mortazavi; Temiloluwa Prioleau; Ashutosh Sabharwal; Ricardo Gutierrez-Osuna (EMBC, 2018)

Exploring Siamese Neural Network Architectures for Preserving Speaker Identity in Speech Emotion Classification. - Priya Arora; Theodora Chaspari (MA3HMI@ICMI, 2018)

Human-Habitat for Health (H3): Human-habitat Multimodal Interaction for Promoting Health and Well-being in the Internet of Things Era. - Theodora Chaspari; Angeliki Metallinou; Leah I. Stein Duker; Amir H. Behzadan (ICMI, 2018)

Population-specific Detection of Couples' Interpersonal Conflict using Multi-task Learning. - Aditya Gujral; Theodora Chaspari; Adela C. Timmons; Yehsong Kim; Sarah Barrett; Gayla Margolin (ICMI, 2018)

Automated ergonomic risk monitoring using body-mounted sensors and machine learning. - Nipun D. Nath; Theodora Chaspari; Amir H. Behzadan (Adv. Eng. Informatics, 2018)

Population-Specific and Personalized (PSP) Models of Human Behavior for Leveraging Smart and Connected Data. - Theodora Chaspari; Adela C. Timmons; Gayla Margolin (Smart Data, 2019)

Virtual reality interfaces and population-specific models to mitigate public speaking anxiety. - Megha Yadav; Md. Nazmus Sakib; Kexin Feng; Theodora Chaspari; Amir H. Behzadan (ACII, 2019)

Leveraging transfer learning techniques for classifying infant vocalizations. - Aditya Gujral; Kexin Feng; Gulshan Mandhyan; Nfn Snehil; Theodora Chaspari (BHI, 2019)

Predicting the meal macronutrient composition from continuous glucose monitors. - Zepeng Huo; Bobak J. Mortazavi; Theodora Chaspari; Nicolaas E. P. Deutz; Laura Ruebush; Ricardo Gutierrez-Osuna (BHI, 2019)

Estimating Public Speaking Anxiety from Speech Signals Using Unsupervised Transfer Learning. - Kexin Feng; Megha Yadav; Md. Nazmus Sakib; Amir H. Behzadan; Theodora Chaspari (GlobalSIP, 2019)

An Attention-aware Bidirectional Multi-residual Recurrent Neural Network (Abmrnn): A Study about Better Short-term Text Classification. - Ye Wang 006; Han Wang; Xinxiang Zhang; Theodora Chaspari; Yoonsuck Choe; Mi Lu (ICASSP, 2019)

Exploring Transfer Learning between Scripted and Spontaneous Speech for Emotion Recognition. - Qingqing Li; Theodora Chaspari (ICMI, 2019)

Detecting Changes in User Behavior to Understand Interaction Provenance during Visual Data Analysis. - Alyssa M. Pena; Ehsanul Haque Nirjhar; Andrew Pachuilo; Theodora Chaspari; Eric D. Ragan (IUI Workshops, 2019)

Low-Resource Language Identification From Speech Using Transfer Learning. - Kexin Feng; Theodora Chaspari (MLSP, 2019)

Measuring Routine Variability of Daily Activities with Image Complexity Metrics. - Bogyeong Lee; Changbum Ryan Ahn; Prakhar Mohan; Theodora Chaspari; Hyunsoo Lee (BuildSys, 2019)

Capturing Regularity of ADL Routines Using Hierarchical Clustering Models. - Prakhar Mohan; Bogyeong Lee; Theodora Chaspari; Changbum Ryan Ahn (BuildSys, 2019)

Machine Learning-based Irrigation Control Optimization. - Akshay Murthy; Curtis Green; Radu Stoleru; Suman Bhunia; Charles Swanson; Theodora Chaspari (BuildSys, 2019)

Single- and multi-label classification of construction objects using deep transfer learning methods. - Nipun D. Nath; Theodora Chaspari; Amir H. Behzadan (J. Inf. Technol. Constr., 2019)

A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition Kexin Feng. - Kexin Feng; Theodora Chaspari (AffCon@AAAI, 2020)

Reinforcement Learning using EEG signals for Therapeutic Use of Music in Emotion Management. - Esha Dutta; Ananya Bothra; Theodora Chaspari; Thomas Ioerger; Bobak J. Mortazavi (EMBC, 2020)

Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. - George Hadjiantonis; Projna Paromita; Karel Mundnich; Amrutha Nadarajan; Brandon M. Booth; Shrikanth Narayanan; Theodora Chaspari (EMBC, 2020)

Exploring Bio-Behavioral Signal Trajectories of State Anxiety During Public Speaking. - Ehsanul Haque Nirjhar; Amir H. Behzadan; Theodora Chaspari (ICASSP, 2020)

Predicting the Effectiveness of Systematic Desensitization Through Virtual Reality for Mitigating Public Speaking Anxiety. - Margaret von Ebers; Ehsanul Haque Nirjhar; Amir H. Behzadan; Theodora Chaspari (ICMI, 2020)

Multimodal Affect and Aesthetic Experience. - Theodoros Kostoulas; Michal Muszynski; Theodora Chaspari; Panos Amelidis (ICMI, 2020)

Preserving Privacy in Image-based Emotion Recognition through User Anonymization. - Vansh Narula; Kexin Feng; Theodora Chaspari (ICMI, 2020)

Assessing ADL Routine Variability from High-dimensional Sensing Data using Hierarchical Clustering. - Bogyeong Lee; Changbum Ryan Ahn; Prakhar Mohan; Theodora Chaspari (BuildSys, 2020)

Saliency detection analysis of collective physiological responses of pedestrians to evaluate neighborhood built environments. - Jinwoo Kim; Megha Yadav; Theodora Chaspari; Changbum R. Ahn (Adv. Eng. Informatics, 2020)

An adversarial learning framework for preserving users' anonymity in face-based emotion recognition. - Vansh Narula; Zhangyang Wang; Theodora Chaspari (CoRR, 2020)

A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition. - Kexin Feng; Theodora Chaspari (CoRR, 2020)

Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs. - Kexin Feng; Preeti Zanwar; Amir H. Behzadan; Theodora Chaspari (CoRR, 2020)

A Review of Generalizable Transfer Learning in Automatic Emotion Recognition. - Kexin Feng; Theodora Chaspari (Frontiers Comput. Sci., 2020)

Investigating Group-Specific Models of Hospital Workers' Well-Being: Implications for Algorithmic Bias. - Vinesh Ravuri; Projna Paromita; Karel Mundnich; Amrutha Nadarajan; Brandon M. Booth; Shrikanth S. Narayanan; Theodora Chaspari (Int. J. Semantic Comput., 2020)

Environmental Distress and Physiological Signals: Examination of the Saliency Detection Method. - Jinwoo Kim; Megha Yadav; Theodora Chaspari; Changbum R. Ahn (J. Comput. Civ. Eng., 2020)

Evaluating Routine Variability of Daily Activities in Smart Homes with Image Complexity Measures. - Bogyeong Lee; Changbum Ryan Ahn; Prakhar Mohan; Theodora Chaspari; Hyunsoo Lee (J. Comput. Civ. Eng., 2020)

Sub-Population Specific Models of Couples' Conflict. - Krit Gupta; Aditya Gujral; Theodora Chaspari; Adela C. Timmons; Sohyun C. Han; Yehsong Kim; Sarah Barrett; Stassja Sichko; Gayla Margolin (ACM Trans. Internet Techn., 2020)

A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals. - Michael Yang; Projna Paromita; Theodora Chaspari; Anurag Das; Seyedhooman Sajjadi; Bobak J. Mortazavi; Ricardo Gutierrez-Osuna (BHI, 2021)

A Sparse Coding Approach to Automatic Diet Monitoring with Continuous Glucose Monitors. - Anurag Das; Seyedhooman Sajjadi; Bobak Mortazavi; Theodora Chaspari; Projna Paromita; Laura Ruebush; Nicolaas E. P. Deutz; Ricardo Gutierrez-Osuna (ICASSP, 2021)

Towards The Development of Subject-Independent Inverse Metabolic Models. - Seyedhooman Sajjadi; Anurag Das; Ricardo Gutierrez-Osuna; Theodora Chaspari; Projna Paromita; Laura E. Ruebush; Nicolaas E. P. Deutz; Bobak J. Mortazavi (ICASSP, 2021)

Workshop on Multimodal Affect and Aesthetic Experience. - Michal Muszynski; Edgar Roman-Rangel; Leimin Tian; Theodoros Kostoulas; Theodora Chaspari; Panos Amelidis (ICMI, 2021)

Knowledge- and Data-Driven Models of Multimodal Trajectories of Public Speaking Anxiety in Real and Virtual Settings. - Ehsanul Haque Nirjhar; Amir H. Behzadan; Theodora Chaspari (ICMI, 2021)

Investigating Trust in Human-Machine Learning Collaboration: A Pilot Study on Estimating Public Anxiety from Speech. - Abdullah Aman Tutul; Ehsanul Haque Nirjhar; Theodora Chaspari (ICMI, 2021)

Personalized Meal Classification Using Continuous Glucose Monitors. - Projna Paromita; Theodora Chaspari; Seyedhooman Sajjadi; Anurag Das; Bobak J. Mortazavi; Ricardo Gutierrez-Osuna (IUI Workshops, 2021)

Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality. - Md. Nazmus Sakib; Theodora Chaspari; Amir H. Behzadan (J. Comput. Civ. Eng., 2021)

Assessment of Daily Routine Uniformity in a Smart Home Environment Using Hierarchical Clustering. - Prakhar Mohan; Bogyeong Lee; Theodora Chaspari; Changbum R. Ahn (IEEE J. Biomed. Health Informatics, 2021)

Investigating the Interplay Between Self-Reported and Bio-Behavioral Measures of Stress: A Pilot Study of Civilian Job Interviews with Military Veterans. - Ehsanul Haque Nirjhar; Md. Nazmus Sakib; Ellen Hagen; Neha Rani; Sharon Lynn Chu; Winfred Arthur; Amir H. Behzadan; Theodora Chaspari (ACII, 2022)

Preserving Mental Health Information in Speech Anonymization. - Vinesh Ravuri; Ricardo Gutierrez-Osuna; Theodora Chaspari (ACIIW, 2022)

Explainable Prediction of Pedestrians' Distress in the Urban Built Environment. - Jinwoo Kim; Dongqing Yang; Ehsanul Haque Nirjhar; Changbum Ryan Ahn; Theodora Chaspari (IEEECONF, 2022)

A Digital Twin City Model for Capturing Walkability Distress of Elderly Adults. - Theodora Chaspari; Jinwoo Kim; Chanam Lee; Youngjib Ham; SangHyun Lee; Changbum R. Ahn (DTPI, 2022)

Toward Sensor-Based Early Diagnosis of Cognitive Impairment using Poisson Process Models. - Manseerat Kaur Batra; Theodora Chaspari; Changbum R. Ahn (EMBC, 2022)

Multimodal Affect and Aesthetic Experience. - Theodoros Kostoulas; Michal Muszynski; Leimin Tian; Edgar Roman-Rangel; Theodora Chaspari; Panos Amelidis (ICMI, 2022)

Evaluating Just-In-Time Vibrotactile Feedback for Communication Anxiety. - Jason Raether; Ehsanul Haque Nirjhar; Theodora Chaspari (ICMI, 2022)

Toward Knowledge-Driven Speech-Based Models of Depression: Leveraging Spectrotemporal Variations in Speech Vowels. - Kexin Feng; Theodora Chaspari (CoRR, 2022)

A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationships. - Kexin Feng; Jacqueline B. Duong; Kayla E. Carta; Sierra Walters; Gayla Margolin; Adela C. Timmons; Theodora Chaspari (CoRR, 2022)

Capturing Environmental Distress of Pedestrians Using Multimodal Data: The Interplay of Biosignals and Image-Based Data. - Jinwoo Kim; Ehsanul Haque Nirjhar; Jaeyoon Kim; Theodora Chaspari; Youngjib Ham; Jane Futrell Winslow; Chanam Lee; Changbum R. Ahn (J. Comput. Civ. Eng., 2022)

Exploring Individual Differences of Public Speaking Anxiety in Real-Life and Virtual Presentations. - Megha Yadav; Md. Nazmus Sakib; Ehsanul Haque Nirjhar; Kexin Feng; Amir H. Behzadan; Theodora Chaspari (IEEE Trans. Affect. Comput., 2022)

Predicting the Macronutrient Composition of Mixed Meals From Dietary Biomarkers in Blood. - Anurag Das; Bobak Mortazavi; Seyedhooman Sajjadi; Theodora Chaspari; Laura E. Ruebush; Nicolaas E. P. Deutz; Gerard L. Coté; Ricardo Gutierrez-Osuna (IEEE J. Biomed. Health Informatics, 2022)

Affective Computing for Mental Wellbeing: Challenges, Opportunities, and Promising Synergies. - Iulia Lefter; David D. Luxton; Alice Baird; Theodora Chaspari; Zakia Hammal; Marwa Mahmoud; Albert Ali Salah (ACIIW, 2023)

Human-AI Collaboration for the Detection of Deceptive Speech. - Abdullah Aman Tutul; Theodora Chaspari; Sarah Ita Levitan; Julia Hirschberg (ACIIW, 2023)

A Knowledge-Driven Vowel-Based Approach of Depression Classification from Speech Using Data Augmentation. - Kexin Feng; Theodora Chaspari (ICASSP, 2023)

Toward Privacy-Enhancing Ambulatory-Based Well-Being Monitoring: Investigating User Re-Identification Risk in Multimodal Data. - Ravi Pranjal; Ranjana Seshadri; Rakesh Kumar Sanath Kumar Kadaba; Tiantian Feng; Shrikanth S. Narayanan; Theodora Chaspari (ICASSP, 2023)

4th International Workshop on Multimodal Affect and Aesthetic Experience. - Michal Muszynski; Theodoros Kostoulas; Leimin Tian; Edgar Roman-Rangel; Theodora Chaspari; Panos Amelidis (ICMI, 2023)

EMSAssist: An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services. - Liuyi Jin; Tian Liu 006; Amran Haroon; Radu Stoleru; Michael Middleton; Ziwei Zhu 001; Theodora Chaspari (MobiSys, 2023)

Demo: EMSAssist - An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services. - Liuyi Jin; Tian Liu 006; Amran Haroon; Radu Stoleru; Michael Middleton; Ziwei Zhu 001; Theodora Chaspari (MobiSys, 2023)

Linguistic and Vocal Markers of Microbehaviors Between Team Members During Analog Space Exploration Missions. - Projna Paromita; Alaa Khader; Sydney R. Begerowski; Suzanne T. Bell; Theodora Chaspari (IEEE Pervasive Comput., 2023)

Few-Shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network With Adaptive Sample Pair Formation. - Kexin Feng; Theodora Chaspari (IEEE Trans. Affect. Comput., 2023)

Editorial: Special Issue on Unobtrusive Physiological Measurement Methods for Affective Applications. - Ioannis T. Pavlidis; Theodora Chaspari; Daniel McDuff (IEEE Trans. Affect. Comput., 2023)

Assessing Daily Activity Routines Using an Unsupervised Approach in a Smart Home Environment. - Bogyeong Lee; Prakhar Mohan; Theodora Chaspari; Changbum Ryan Ahn (J. Comput. Civ. Eng., 2023)

Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers. - Projna Paromita; Karel Mundnich; Amrutha Nadarajan; Brandon M. Booth; Shrikanth S. Narayanan; Theodora Chaspari (Frontiers Digit. Health, 2023)

An Engineering View on Emotions and Speech: From Analysis and Predictive Models to Responsible Human-Centered Applications. - Chi-Chun Lee; Theodora Chaspari; Emily Mower Provost; Shrikanth S. Narayanan (Proc. IEEE, 2023)

A Linguistic Analysis of the Impact of Team Interactions on Team Performance During Space Exploration Missions. - Projna Paromita; Theodora Chaspari (ACII, 2024)

A Pilot Study on Clinician-AI Collaboration in Diagnosing Depression From Speech. - Kexin Feng; Theodora Chaspari (BHI, 2024)

Robust and Explainable Depression Identification from Speech Using Vowel-Based Ensemble Learning Approaches. - Kexin Feng; Theodora Chaspari (BHI, 2024)

Perception of Stress: A Comparative Multimodal Analysis of Time-Continuous Stress Ratings from Self and Observers. - Ehsanul Haque Nirjhar; Winfred Arthur; Theodora Chaspari (ICMI, 2024)

An AI-Powered Interactive Interface to Enhance Accessibility of Interview Training for Military Veterans. - Rakesh Chowdary Yarlagadda; Pranjal Aggarwal; Vaibhav Jamadagni; Ghritachi Mahajani; Pavan Kumar Malasani; Ehsanul Haque Nirjhar; Theodora Chaspari (ICMI Companion, 2024)

A multimodal analysis of environmental stress experienced by older adults during outdoor walking trips: Implications for designing new intelligent technologies to enhance walkability in low-income Latino communities. - Raquel Yupanqui; John Sohn; Yoojun Kim; Raquel Flores; Hanwool Lee; Jinwoo Kim; SangHyun Lee; Youngjib Ham; Chanam Lee; Theodora Chaspari (ICMI, 2024)

Editorial: Multimodal interaction technologies for mental well-being. - Iulia Lefter; Laurens Rook; Theodora Chaspari (Frontiers Comput. Sci., 2024)

Deconstructing demographic bias in speech-based machine learning models for digital health. - Michael Yang; Abd-Allah El-Attar; Theodora Chaspari (Frontiers Digit. Health, 2024)

Enhancing Classification and Reasoning Abilities of Large Language Models for Predicting Affect from Ambulatory Data. - Siddharth Kalyanasundaram; Coralie S. Phanord; Luka L. Ruzic; Roselinde H. Kaiser; Theodora Chaspari (ICHI, 2025)

Linguistic Analysis of Veteran Job Interviews to Assess Effectiveness in Translating Military Expertise to the Civilian Workforce. - Caroline J. Wendt; Ehsanul Haque Nirjhar; Theodora Chaspari (NAACL (Student Research Workshop), 2025)

Modeling Gold Standard Moment-to-Moment Ratings of Perception of Stress From Audio Recordings. - Ehsanul Haque Nirjhar; Theodora Chaspari (IEEE Trans. Affect. Comput., 2025)

Assessing the feasibility of Large Language Models for detecting micro-behaviors in team interactions during space missions. - Ankush Raut; Projna Paromita; Sydney R. Begerowski; Suzanne T. Bell; Theodora Chaspari (CoRR, 2025)