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2020 – today
- 2024
[j24]Iulia Lefter, Laurens Rook, Theodora Chaspari:
Editorial: Multimodal interaction technologies for mental well-being. Frontiers Comput. Sci. 6 (2024)- [c66]Rakesh Chowdary Yarlagadda, Pranjal Aggarwal, Vaibhav Jamadagni, Ghritachi Mahajani, Pavan Kumar Malasani, Ehsanul Haque Nirjhar, Theodora Chaspari:
An AI-Powered Interactive Interface to Enhance Accessibility of Interview Training for Military Veterans. ICMI Companion 2024: 82-84 - [e1]Hayley Hung, Catharine Oertel, Mohammad Soleymani, Theodora Chaspari, Hamdi Dibeklioglu, Jainendra Shukla, Khiet P. Truong:
Companion Proceedings of the 26th International Conference on Multimodal Interaction, ICMI Companion 2024, San Jose, Costa Rica, November 4-8, 2024. ACM 2024, ISBN 979-8-4007-0463-5 [contents] - 2023
- [j23]Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, Theodora Chaspari:
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 5 (2023) - [j22]Bogyeong Lee
, Prakhar Mohan, Theodora Chaspari, Changbum Ryan Ahn:
Assessing Daily Activity Routines Using an Unsupervised Approach in a Smart Home Environment. J. Comput. Civ. Eng. 37(1) (2023) - [j21]Projna Paromita, Alaa Khader, Sydney R. Begerowski, Suzanne T. Bell, Theodora Chaspari:
Linguistic and Vocal Markers of Microbehaviors Between Team Members During Analog Space Exploration Missions. IEEE Pervasive Comput. 22(2): 7-18 (2023) - [j20]Chi-Chun Lee, Theodora Chaspari, Emily Mower Provost, Shrikanth S. Narayanan:
An Engineering View on Emotions and Speech: From Analysis and Predictive Models to Responsible Human-Centered Applications. Proc. IEEE 111(10): 1142-1158 (2023) - [j19]Kexin Feng, Theodora Chaspari:
Few-Shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network With Adaptive Sample Pair Formation. IEEE Trans. Affect. Comput. 14(2): 1627-1633 (2023) - [j18]Ioannis T. Pavlidis, Theodora Chaspari, Daniel McDuff:
Editorial: Special Issue on Unobtrusive Physiological Measurement Methods for Affective Applications. IEEE Trans. Affect. Comput. 14(4): 2564-2566 (2023) - [c65]Iulia Lefter, David D. Luxton, Alice Baird, Theodora Chaspari, Zakia Hammal, Marwa Mahmoud, Albert Ali Salah:
Affective Computing for Mental Wellbeing: Challenges, Opportunities, and Promising Synergies. ACIIW 2023: 1-2 - [c64]Abdullah Aman Tutul, Theodora Chaspari, Sarah Ita Levitan, Julia Hirschberg:
Human-AI Collaboration for the Detection of Deceptive Speech. ACIIW 2023: 1-4 - [c63]Kexin Feng, Theodora Chaspari:
A Knowledge-Driven Vowel-Based Approach of Depression Classification from Speech Using Data Augmentation. ICASSP 2023: 1-5 - [c62]Ravi Pranjal, Ranjana Seshadri, Rakesh Kumar Sanath Kumar Kadaba, Tiantian Feng, Shrikanth S. Narayanan, Theodora Chaspari:
Toward Privacy-Enhancing Ambulatory-Based Well-Being Monitoring: Investigating User Re-Identification Risk in Multimodal Data. ICASSP 2023: 1-5 - [c61]Michal Muszynski, Theodoros Kostoulas, Leimin Tian, Edgar Roman-Rangel, Theodora Chaspari, Panos Amelidis:
4th International Workshop on Multimodal Affect and Aesthetic Experience. ICMI 2023: 814-815 - [c60]Liuyi Jin, Tian Liu, Amran Haroon, Radu Stoleru, Michael Middleton, Ziwei Zhu, Theodora Chaspari:
EMSAssist: An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services. MobiSys 2023: 275-288 - [c59]Liuyi Jin, Tian Liu, Amran Haroon, Radu Stoleru, Michael Middleton, Ziwei Zhu, Theodora Chaspari:
Demo: EMSAssist - An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services. MobiSys 2023: 596-597 - 2022
- [j17]Jinwoo Kim, Ehsanul Haque Nirjhar, Jaeyoon Kim, Theodora Chaspari, Youngjib Ham, Jane Futrell Winslow, Chanam Lee, Changbum R. Ahn:
Capturing Environmental Distress of Pedestrians Using Multimodal Data: The Interplay of Biosignals and Image-Based Data. J. Comput. Civ. Eng. 36(2) (2022) - [j16]Megha Yadav, Md. Nazmus Sakib, Ehsanul Haque Nirjhar, Kexin Feng, Amir H. Behzadan, Theodora Chaspari:
Exploring Individual Differences of Public Speaking Anxiety in Real-Life and Virtual Presentations. IEEE Trans. Affect. Comput. 13(3): 1168-1182 (2022) - [j15]Anurag Das, Bobak Mortazavi, Seyedhooman Sajjadi, Theodora Chaspari, Laura E. Ruebush, Nicolaas E. P. Deutz, Gerard L. Coté, Ricardo Gutierrez-Osuna:
Predicting the Macronutrient Composition of Mixed Meals From Dietary Biomarkers in Blood. IEEE J. Biomed. Health Informatics 26(6): 2726-2736 (2022) - [c58]Ehsanul Haque Nirjhar, Md. Nazmus Sakib, Ellen Hagen, Neha Rani, Sharon Lynn Chu, Winfred Arthur, Amir H. Behzadan, Theodora Chaspari:
Investigating the Interplay Between Self-Reported and Bio-Behavioral Measures of Stress: A Pilot Study of Civilian Job Interviews with Military Veterans. ACII 2022: 1-8 - [c57]Vinesh Ravuri, Ricardo Gutierrez-Osuna, Theodora Chaspari:
Preserving Mental Health Information in Speech Anonymization. ACIIW 2022: 1-8 - [c56]Jinwoo Kim, Dongqing Yang, Ehsanul Haque Nirjhar, Changbum Ryan Ahn, Theodora Chaspari:
Explainable Prediction of Pedestrians' Distress in the Urban Built Environment. IEEECONF 2022: 985-989 - [c55]Theodora Chaspari, Jinwoo Kim, Chanam Lee, Youngjib Ham, SangHyun Lee, Changbum R. Ahn:
A Digital Twin City Model for Capturing Walkability Distress of Elderly Adults. DTPI 2022: 1-2 - [c54]Manseerat Kaur Batra, Theodora Chaspari, Changbum R. Ahn:
Toward Sensor-Based Early Diagnosis of Cognitive Impairment using Poisson Process Models. EMBC 2022: 2839-2843 - [c53]Jason Raether, Ehsanul Haque Nirjhar, Theodora Chaspari:
Evaluating Just-In-Time Vibrotactile Feedback for Communication Anxiety. ICMI 2022: 117-127 - [c52]Theodoros Kostoulas, Michal Muszynski, Leimin Tian, Edgar Roman-Rangel, Theodora Chaspari, Panos Amelidis:
Multimodal Affect and Aesthetic Experience. ICMI 2022: 797-798 - [i8]Zepeng Huo, Bobak J. Mortazavi, Theodora Chaspari, Nicolaas E. P. Deutz, Laura Ruebush, Ricardo Gutierrez-Osuna:
Predicting the meal macronutrient composition from continuous glucose monitors. CoRR abs/2206.11878 (2022) - [i7]Kexin Feng, Theodora Chaspari:
Toward Knowledge-Driven Speech-Based Models of Depression: Leveraging Spectrotemporal Variations in Speech Vowels. CoRR abs/2210.02527 (2022) - [i6]Kexin Feng, Jacqueline B. Duong, Kayla E. Carta, Sierra Walters, Gayla Margolin, Adela C. Timmons, Theodora Chaspari:
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationships. CoRR abs/2210.15247 (2022) - [i5]Kexin Feng, Theodora Chaspari:
A knowledge-driven vowel-based approach of depression classification from speech using data augmentation. CoRR abs/2210.15261 (2022) - 2021
- [j14]Md. Nazmus Sakib, Theodora Chaspari, Amir H. Behzadan:
Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality. J. Comput. Civ. Eng. 35(1) (2021) - [j13]Prakhar Mohan, Bogyeong Lee, Theodora Chaspari, Changbum R. Ahn:
Assessment of Daily Routine Uniformity in a Smart Home Environment Using Hierarchical Clustering. IEEE J. Biomed. Health Informatics 25(8): 3197-3208 (2021) - [c51]Michael Yang, Projna Paromita, Theodora Chaspari, Anurag Das, Seyedhooman Sajjadi, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals. BHI 2021: 1-5 - [c50]Anurag Das, Seyedhooman Sajjadi, Bobak Mortazavi, Theodora Chaspari, Projna Paromita, Laura Ruebush, Nicolaas E. P. Deutz, Ricardo Gutierrez-Osuna:
A Sparse Coding Approach to Automatic Diet Monitoring with Continuous Glucose Monitors. ICASSP 2021: 2900-2904 - [c49]Seyedhooman Sajjadi, Anurag Das, Ricardo Gutierrez-Osuna, Theodora Chaspari, Projna Paromita, Laura E. Ruebush, Nicolaas E. P. Deutz, Bobak J. Mortazavi:
Towards The Development of Subject-Independent Inverse Metabolic Models. ICASSP 2021: 3970-3974 - [c48]Abdullah Aman Tutul, Ehsanul Haque Nirjhar, Theodora Chaspari:
Investigating Trust in Human-Machine Learning Collaboration: A Pilot Study on Estimating Public Anxiety from Speech. ICMI 2021: 288-296 - [c47]Ehsanul Haque Nirjhar, Amir H. Behzadan, Theodora Chaspari:
Knowledge- and Data-Driven Models of Multimodal Trajectories of Public Speaking Anxiety in Real and Virtual Settings. ICMI 2021: 712-716 - [c46]Michal Muszynski, Edgar Roman-Rangel, Leimin Tian, Theodoros Kostoulas, Theodora Chaspari, Panos Amelidis:
Workshop on Multimodal Affect and Aesthetic Experience. ICMI 2021: 868-869 - [c45]Projna Paromita, Theodora Chaspari, Seyedhooman Sajjadi, Anurag Das, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
Personalized Meal Classification Using Continuous Glucose Monitors. IUI Workshops 2021 - [i4]Kexin Feng, Theodora Chaspari:
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation. CoRR abs/2109.02915 (2021) - 2020
- [j12]Jinwoo Kim, Megha Yadav, Theodora Chaspari, Changbum R. Ahn:
Saliency detection analysis of collective physiological responses of pedestrians to evaluate neighborhood built environments. Adv. Eng. Informatics 43: 101035 (2020) - [j11]Kexin Feng, Theodora Chaspari:
A Review of Generalizable Transfer Learning in Automatic Emotion Recognition. Frontiers Comput. Sci. 2: 9 (2020) - [j10]Vinesh Ravuri, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, Theodora Chaspari:
Investigating Group-Specific Models of Hospital Workers' Well-Being: Implications for Algorithmic Bias. Int. J. Semantic Comput. 14(4): 477-499 (2020) - [j9]Jinwoo Kim, Megha Yadav, Theodora Chaspari, Changbum R. Ahn:
Environmental Distress and Physiological Signals: Examination of the Saliency Detection Method. J. Comput. Civ. Eng. 34(6) (2020) - [j8]Bogyeong Lee, Changbum Ryan Ahn, Prakhar Mohan, Theodora Chaspari, Hyunsoo Lee:
Evaluating Routine Variability of Daily Activities in Smart Homes with Image Complexity Measures. J. Comput. Civ. Eng. 34(6) (2020) - [j7]Krit Gupta, Aditya Gujral, Theodora Chaspari, Adela C. Timmons, Sohyun C. Han, Yehsong Kim, Sarah Barrett, Stassja Sichko, Gayla Margolin:
Sub-Population Specific Models of Couples' Conflict. ACM Trans. Internet Techn. 20(2): 9:1-9:20 (2020) - [c44]Kexin Feng, Theodora Chaspari:
A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition Kexin Feng. AffCon@AAAI 2020: 29-35 - [c43]George Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth Narayanan, Theodora Chaspari:
Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. EMBC 2020: 284-287 - [c42]Esha Dutta, Ananya Bothra, Theodora Chaspari, Thomas Ioerger, Bobak J. Mortazavi:
Reinforcement Learning using EEG signals for Therapeutic Use of Music in Emotion Management. EMBC 2020: 5553-5556 - [c41]Ehsanul Haque Nirjhar, Amir H. Behzadan, Theodora Chaspari:
Exploring Bio-Behavioral Signal Trajectories of State Anxiety During Public Speaking. ICASSP 2020: 1294-1298 - [c40]Vansh Narula, Kexin Feng, Theodora Chaspari:
Preserving Privacy in Image-based Emotion Recognition through User Anonymization. ICMI 2020: 452-460 - [c39]Margaret von Ebers, Ehsanul Haque Nirjhar, Amir H. Behzadan, Theodora Chaspari:
Predicting the Effectiveness of Systematic Desensitization Through Virtual Reality for Mitigating Public Speaking Anxiety. ICMI 2020: 670-674 - [c38]Theodoros Kostoulas, Michal Muszynski, Theodora Chaspari, Panos Amelidis:
Multimodal Affect and Aesthetic Experience. ICMI 2020: 888-889 - [c37]Bogyeong Lee, Changbum Ryan Ahn, Prakhar Mohan, Theodora Chaspari:
Assessing ADL Routine Variability from High-dimensional Sensing Data using Hierarchical Clustering. BuildSys@SenSys 2020: 282-285 - [i3]Vansh Narula, Zhangyang Wang, Theodora Chaspari:
An adversarial learning framework for preserving users' anonymity in face-based emotion recognition. CoRR abs/2001.06103 (2020) - [i2]Kexin Feng, Theodora Chaspari:
A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition. CoRR abs/2006.03001 (2020) - [i1]Kexin Feng, Preeti Zanwar, Amir H. Behzadan, Theodora Chaspari:
Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs. CoRR abs/2009.07504 (2020)
2010 – 2019
- 2019
- [j6]Nipun D. Nath, Theodora Chaspari, Amir H. Behzadan:
Single- and multi-label classification of construction objects using deep transfer learning methods. J. Inf. Technol. Constr. 24: 511-526 (2019) - [c36]Megha Yadav, Md. Nazmus Sakib, Kexin Feng, Theodora Chaspari, Amir H. Behzadan:
Virtual reality interfaces and population-specific models to mitigate public speaking anxiety. ACII 2019: 1-7 - [c35]Aditya Gujral, Kexin Feng, Gulshan Mandhyan, Nfn Snehil, Theodora Chaspari:
Leveraging transfer learning techniques for classifying infant vocalizations. BHI 2019: 1-4 - [c34]Zepeng Huo, Bobak J. Mortazavi, Theodora Chaspari, Nicolaas E. P. Deutz, Laura Ruebush, Ricardo Gutierrez-Osuna:
Predicting the meal macronutrient composition from continuous glucose monitors. BHI 2019: 1-4 - [c33]Kexin Feng, Megha Yadav, Md. Nazmus Sakib, Amir H. Behzadan, Theodora Chaspari:
Estimating Public Speaking Anxiety from Speech Signals Using Unsupervised Transfer Learning. GlobalSIP 2019: 1-5 - [c32]Ye Wang, Han Wang, Xinxiang Zhang, Theodora Chaspari, Yoonsuck Choe, Mi Lu:
An Attention-aware Bidirectional Multi-residual Recurrent Neural Network (Abmrnn): A Study about Better Short-term Text Classification. ICASSP 2019: 3582-3586 - [c31]Qingqing Li, Theodora Chaspari:
Exploring Transfer Learning between Scripted and Spontaneous Speech for Emotion Recognition. ICMI 2019: 435-439 - [c30]Alyssa M. Pena, Ehsanul Haque Nirjhar, Andrew Pachuilo, Theodora Chaspari, Eric D. Ragan:
Detecting Changes in User Behavior to Understand Interaction Provenance during Visual Data Analysis. IUI Workshops 2019 - [c29]Kexin Feng, Theodora Chaspari:
Low-Resource Language Identification From Speech Using Transfer Learning. MLSP 2019: 1-6 - [c28]Akshay Murthy, Curtis Green, Radu Stoleru, Suman Bhunia, Charles Swanson, Theodora Chaspari:
Machine Learning-based Irrigation Control Optimization. BuildSys@SenSys 2019: 213-222 - [c27]Prakhar Mohan, Bogyeong Lee, Theodora Chaspari, Changbum Ryan Ahn:
Capturing Regularity of ADL Routines Using Hierarchical Clustering Models. BuildSys@SenSys 2019: 373-374 - [c26]Bogyeong Lee, Changbum Ryan Ahn, Prakhar Mohan, Theodora Chaspari, Hyunsoo Lee:
Measuring Routine Variability of Daily Activities with Image Complexity Metrics. BuildSys@SenSys 2019: 376-377 - [p1]Theodora Chaspari, Adela C. Timmons, Gayla Margolin:
Population-Specific and Personalized (PSP) Models of Human Behavior for Leveraging Smart and Connected Data. Smart Data 2019: 243-258 - 2018
- [j5]Nipun D. Nath, Theodora Chaspari, Amir H. Behzadan:
Automated ergonomic risk monitoring using body-mounted sensors and machine learning. Adv. Eng. Informatics 38: 514-526 (2018) - [c25]Niraj Goel, Theodora Chaspari, Bobak Jack Mortazavi, Temiloluwa Prioleau, Ashutosh Sabharwal, Ricardo Gutierrez-Osuna:
Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals. EMBC 2018: 191-194 - [c24]Priya Arora, Theodora Chaspari:
Exploring Siamese Neural Network Architectures for Preserving Speaker Identity in Speech Emotion Classification. MA3HMI@ICMI 2018: 15-18 - [c23]Aditya Gujral, Theodora Chaspari, Adela C. Timmons, Yehsong Kim, Sarah Barrett, Gayla Margolin:
Population-specific Detection of Couples' Interpersonal Conflict using Multi-task Learning. ICMI 2018: 229-233 - [c22]Theodora Chaspari, Angeliki Metallinou, Leah I. Stein Duker, Amir H. Behzadan:
Human-Habitat for Health (H3): Human-habitat Multimodal Interaction for Promoting Health and Well-being in the Internet of Things Era. ICMI 2018: 664-665 - 2017
- [j4]Adela C. Timmons, Theodora Chaspari, Sohyun C. Han, Laura Perrone, Shrikanth S. Narayanan, Gayla Margolin:
Using Multimodal Wearable Technology to Detect Conflict among Couples. Computer 50(3): 50-59 (2017) - [j3]Daniel Bone, Chi-Chun Lee, Theodora Chaspari, James Gibson, Shrikanth S. Narayanan:
Signal Processing and Machine Learning for Mental Health Research and Clinical Applications [Perspectives]. IEEE Signal Process. Mag. 34(5): 196-195 (2017) - [c21]Theodora Chaspari, Adela C. Timmons, Brian R. Baucom, Laura Perrone, Katherine J. W. Baucom, Panayiotis G. Georgiou, Gayla Margolin, Shrikanth S. Narayanan:
Exploring sparse representation measures of physiological synchrony for romantic couples. ACII 2017: 267-272 - [c20]Ramasubramanian Balasubramanian, Theodora Chaspari, Shrikanth S. Narayanan:
A knowledge-driven framework for ECG representation and interpretation for wearable applications. ICASSP 2017: 1018-1022 - [c19]Theodora Chaspari, Sohyun C. Han, Daniel Bone, Adela C. Timmons, Laura Perrone, Gayla Margolin, Shrikanth S. Narayanan:
Quantifying regulation mechanisms in dating couples through a dynamical systems model of acoustic and physiological arousal. ICASSP 2017: 3001-3005 - 2016
- [j2]Theodora Chaspari, Andreas Tsiartas, Panagiotis Tsilifis, Shrikanth S. Narayanan:
Markov Chain Monte Carlo Inference of Parametric Dictionaries for Sparse Bayesian Approximations. IEEE Trans. Signal Process. 64(12): 3077-3092 (2016) - [c18]Theodora Chaspari, Sohyun C. Han, Daniel Bone, Adela C. Timmons, Laura Perrone, Gayla Margolin, Shrikanth S. Narayanan:
Dynamical Systems Modeling of Acoustic and Physiological Arousal in Young Couples. AAAI Spring Symposia 2016 - [c17]Daniel Bone, James Gibson, Theodora Chaspari, Dogan Can, Shrikanth S. Narayanan:
Speech and language processing for mental health research and care. ACSSC 2016: 831-835 - [c16]Theodora Chaspari, Andreas Tsiartas, Leah I. Stein Duker, Sharon A. Cermak, Shrikanth S. Narayanan:
EDA-gram: Designing electrodermal activity fingerprints for visualization and feature extraction. EMBC 2016: 403-406 - [c15]Rahul Gupta, Theodora Chaspari, Jangwon Kim, Naveen Kumar, Daniel Bone, Shrikanth S. Narayanan:
Pathological speech processing: State-of-the-art, current challenges, and future directions. ICASSP 2016: 6470-6474 - [c14]Theodora Chaspari, Jill Fain Lehman:
An Acoustic Analysis of Child-Child and Child-Robot Interactions for Understanding Engagement during Speech-Controlled Computer Games. INTERSPEECH 2016: 595-599 - 2015
- [j1]Theodora Chaspari, Andreas Tsiartas, Leah I. Stein, Sharon A. Cermak, Shrikanth S. Narayanan:
Sparse Representation of Electrodermal Activity With Knowledge-Driven Dictionaries. IEEE Trans. Biomed. Eng. 62(3): 960-971 (2015) - [c13]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:
Quantifying EDA synchrony through joint sparse representation: A case-study of couples' interactions. ICASSP 2015: 817-821 - [c12]Theodora Chaspari, Samer Al Moubayed, Jill Fain Lehman:
Exploring Children's Verbal and Acoustic Synchrony: Towards Promoting Engagement in Speech-Controlled Robot-Companion Games. INTERPERSONAL@ICMI 2015: 21-24 - [c11]Rahul Gupta, Theodora Chaspari, Panayiotis G. Georgiou, David C. Atkins, Shrikanth S. Narayanan:
Analysis and modeling of the role of laughter in motivational interviewing based psychotherapy conversations. INTERSPEECH 2015: 1962-1966 - 2014
- [c10]Theodora Chaspari, Dimitrios Dimitriadis, Petros Maragos:
Emotion classification of speech using modulation features. EUSIPCO 2014: 1552-1556 - [c9]Theodora Chaspari, Matthew S. Goodwin, Oliver Wilder-Smith, Amanda Gulsrud, Charlotte A. Mucchetti, Connie Kasari, Shrikanth S. Narayanan:
A non-homogeneous poisson process model of Skin Conductance Responses integrated with observed regulatory behaviors for Autism intervention. ICASSP 2014: 1611-1615 - 2013
- [c8]Theodora Chaspari, Daniel Bone, James Gibson, Chi-Chun Lee, Shrikanth S. Narayanan:
Using physiology and language cues for modeling verbal response latencies of children with ASD. ICASSP 2013: 3702-3706 - [c7]Daniel Bone, Theodora Chaspari, Kartik Audhkhasi, James Gibson, Andreas Tsiartas, Maarten Van Segbroeck, Ming Li, Sungbok Lee, Shrikanth S. Narayanan:
Classifying language-related developmental disorders from speech cues: the promise and the potential confounds. INTERSPEECH 2013: 182-186 - [c6]Andreas Tsiartas, Theodora Chaspari, Nassos Katsamanis, Prasanta Kumar Ghosh, Ming Li, Maarten Van Segbroeck, Alexandros Potamianos, Shrikanth S. Narayanan:
Multi-band long-term signal variability features for robust voice activity detection. INTERSPEECH 2013: 718-722 - [c5]Daniel Bone, Chi-Chun Lee, Theodora Chaspari, Matthew P. Black, Marian E. Williams, Sungbok Lee, Pat Levitt, Shrikanth S. Narayanan:
Acoustic-prosodic, turn-taking, and language cues in child-psychologist interactions for varying social demand. INTERSPEECH 2013: 2400-2404 - [c4]Theodora Chaspari, Emily Mower Provost, Shrikanth S. Narayanan:
Analyzing the structure of parent-moderated narratives from children with ASD using an entity-based approach. INTERSPEECH 2013: 2430-2434 - 2012
- [c3]Theodora Chaspari, Emily Mower Provost, Athanasios Katsamanis, Shrikanth S. Narayanan:
An acoustic analysis of shared enjoyment in ECA interactions of children with autism. ICASSP 2012: 4485-4488 - [c2]Theodora Chaspari, Chi-Chun Lee, Shrikanth S. Narayanan:
Interplay between verbal response latency and physiology of children with autism during ECA interactions. INTERSPEECH 2012: 1319-1322 - 2011
- [c1]Emily Mower, Chi-Chun Lee, James Gibson, Theodora Chaspari, Marian E. Williams, Shrikanth S. Narayanan:
Analyzing the Nature of ECA Interactions in Children with Autism. INTERSPEECH 2011: 2989-2993
Coauthor Index
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