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Towards Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being

Nosakhare, E., and Picard. R. 2019. Toward Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being. ACM Trans. Comput. Healthcare 1, 1, Article 4 (December 2019), 29 pages.

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Holistic Affect Recognition using PaNDA: Paralinguistic Non-metric Dimensional Analysis

Zhang Y, Weninger F, Schuller B, Picard R "Holistic Affect Recognition using PaNDA: Paralinguistic Non-metric Dimensional Analysis." IEEE Transactions on Affective Computing, December 2019.

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Hybrid Living Materials: Digital Design and Fabrication of 3D Multimaterial Structures with Programmable Biohybrid Surfaces

Smith, Rachel Soo Hoo, et al. "Hybrid Living Materials: Digital Design and Fabrication of 3D Multimaterial Structures with Programmable Biohybrid Surfaces." Advanced Functional Materials (2019): 1907401.

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Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data

Narain, J.*, Johnson, K.T.*, Picard, R.W., Maes, P. "Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data," NeurIPS Workshop on AI for Social Good, December 2019. (*Co-first authors/Equal contribution)

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The ECHOS Platform to Enhance Communication for Nonverbal Children with Autism: A Case Study

Johnson, K.T.*, Narain, J.*, Ferguson, C., Picard, R.W., and Maes, P. The ECHOS Platform to Enhance Communication for Nonverbal Children with Autism: A Case Study. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (Case Studies Track of CHI 2020). (*Co-first authors/Equal contribution)

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Advances and Open Problems in Federated Learning

Peter Kairouz, H. Brendan McMahan, et al. "Advances and Open Problems in Federated Learning." arXiv:1912.04977 [cs.LG] 10 Dec 2019.

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Approximating interactive human evaluation with self-play for open-domain dialog systems

Ghandeharioun, A.*, Shen, J. H.*, Jaques, N.*, Ferguson, C., Jones, N., Lapedriza, A., & Picard, R. (2019). Approximating interactive human evaluation with self-play for open-domain dialog systems. In Advances in Neural Information Processing Systems (pp. 13658-13669).

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Way off-policy batch deep reinforcement learning of implicit human preferences in dialog

Jaques N., Ghandeharioun, A., Shen, J., Ferguson, C., Jones, N., Lapedriza, A., Gu, S., Picard, R. (2019). Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog, NeurIPS workshop, Conversational AI.

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Chapter 18: Flexible and Stretchable Devices for Human-Machine Interfaces

Wicaksono, I., Dagdeviren, C., Handbook of Flexible and Stretchable Electronics, CRC Press, Taylor & Francis Group 2019.

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AttentivU: An EEG-Based Closed-Loop Biofeedback System for Real-Time Monitoring and Improvement of Engagement for Personalized Learning

Nataliya Kosmyna, Pattie Maes. AttentivU: An EEG-Based Closed-Loop Biofeedback System for Real-Time Monitoring and Improvement of Engagement for Personalized Learning. Sensors 2019, 19, 5200.

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QTY code designed thermostable and water-soluble chimeric chemokine receptors with tunable ligand affinity

Rui Qing, Qiuyi Han, Michael Skuhersky, Haeyoon Chung, Myriam Badr, View ORCID ProfileThomas Schubert, and Shuguang Zhang. PNAS first published November 27, 2019 (https://doi.org/10.1073/pnas.1909026116). Edited by Alan R. Fersht, University of Cambridge, Cambridge, United Kingdom, and approved October 30, 2019 (received for review May 24, 2019).

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Paper Dreams: Real-Time Human and Machine Collaboration for Visual Story Development

Bernal, Guillermo, Lily Zhou, Erica Yuen, and Pattie Maes. “Paper Dreams: Real-Time Human and Machine Collaboration for Visual Story Development.” XXII Generative Art Conference - GA2019, December 21, 2019.

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Social and Affective Machine Learning

Jaques, Natasha. Social and Affective Machine Learning. 2019. Massachusetts Institute of Technology, PhD dissertation.

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Paper Dreams: An Interactive Interface for Generative Visual Expression

Bernal, Guillermo, Lily Zhou, Haripriya Mehta, and Pattie Maes. NeurIPS Workshop on Machine Learning for Creativity and Design, December 14, 2019.

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Colloidal Luminaries for Architectural Lighting

Nina M. Lutz and V. Michael Bove. 2019. Colloidal Luminaries for Architectural Lighting. In Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys '19). ACM, New York, NY, USA, 387-388. DOI: https://doi.org/10.1145/3360322.3361014

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Bike Swarm

Berke, A., Sanchez Lengeling, T., Nawyn, J., & Larson, K. (2019, November). Bike Swarm. In Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing (pp. 1-4). ACM.

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Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias

Ghandeharioun, A., Eoff, B., Jou, B., & Picard, R. W. (2019). Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias. arXiv preprint arXiv:1909.09285.

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LUI: A multimodal, intelligent interface for large displays

Vik Parthiban and Ashley Jieun Lee. 2019. "LUI: A multimodal, intelligent interface for large displays." In The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI ’19). Association for Computing Machinery, New York, NY, USA, Article 48, 1–2. DOI: https://doi.org/10.1145/3359997.3365743

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Drivers are blamed more than their automated cars when both make mistakes

Awad, E*., Levine, S.*, Kleiman-Weiner, M., Dsouza, S., Tenenbaum, J., Shariff, A., Bonnefon, J.F., Rahwan, I. (2019). Drivers are blamed more than their automated cars when both make mistakes. Nature Human Behavior.

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Enhancing human emotions with interoceptive technologies delivering controlled somatosensory stimulation

Schoeller, F., Haar, A. J. H., Jain, A., & Maes, P. (2019). Enhancing human emotions with interoceptive technologies. Physics of life reviews.

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Making Up the Unreal

Lutz, Nina. “Making Up the Unreal · Journal of Design and Science.” Journal of Design and Science, MIT Press, 23 Oct. 2019, https://jods.mitpress.mit.edu/pub/ristj7wg.

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Master Planning and Space Architecture for a Moon Village

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Unified rational protein engineering with sequence-based deep representation learning

Alley, E.C., Khimulya, G., Biswas, S. et al. Unified rational protein engineering with sequence-based deep representation learning. Nat Methods 16, 1315–1322 (2019). https://doi.org/10.1038/s41592-019-0598-1

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Usability testing of LUI: A new human‐computer interface for large displays

Dumas, C., Erdelez, S., Pomerantz, J. and Parthiban, V. (2019), "Usability testing of LUI: A new human‐computer interface for large displays." Proceedings of the Association for Information Science and Technology, 56: 645-647. doi:10.1002/pra2.118

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Deep Multimodal Feature Encoding for Video Ordering

Vivek Sharma, Makarand Tapaswi, and Rainer Stiefelhagen. In ICCV Workshop on Holistic Video Understanding (HVU), 2019.

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Video Face Clustering with Self-Supervised Representation Learning

Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, and Rainer Stiefelhagen. In IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM), 2019.

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ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations

Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree KalpathyCramer, and Ramesh Raskar. In NeurIPS Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy, 2019

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Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest

Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, GN Prasanna, Ramesh Raskar

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ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries

Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar. In NeurIPS Workshop on Machine learning for the Developing World (ML4D), 2019

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Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data

Narain, J.*, Johnson, K.T.*, Picard, R.W., and Maes, P. “Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data”. NeurIPS 2019 Joint Workshop on AI for Social Good. (*Co-first authors/Equal contribution)

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Whose Death Matters? A Quantitative Analysis of Media Attention to Deaths of Black Americans in Police Confrontations, 2013–2016

Zuckerman, E., Matias, J., Bhargava, R., Bermejo, F., & Ko, A. (2019). Whose Death Matters? A Quantitative Analysis of Media Attention to Deaths of Black Americans in Police Confrontations, 2013–2016. International Journal Of Communication, 13, 27. Retrieved from https://ijoc.org/index.php/ijoc/article/view/8782

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AttentivU: Designing EEG and EOG Compatible Glasses for Physiological Sensing and Feedback in the Car

Nataliya Kosmyna, Caitlin Morris, Thanh Nguyen, Sebastian Zepf, Javier Hernandez, and Pattie Maes. 2019. AttentivU: Designing EEG and EOG Compatible Glasses for Physiological Sensing and Feedback in the Car. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '19). ACM, New York, NY, USA, 355-368. DOI: https://doi.o

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Detailed comparison of communication efficiency of split learning and federated learning,

Praneeth Vepakomma, et al. "Detailed comparison of communication efficiency of split learning and federated learning." arXiv:1909.09145v1 [cs.LG] 18 Sep 2019.

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Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model

Vijayaraghavan, Prashanth, and Deb Roy. "Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model." arXiv preprint arXiv:1909.07873 (2019).

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RadioTalk: a large-scale corpus of talk radio transcripts

Doug Beeferman, William Brannon, and Deb Roy. (2019). RadioTalk: A large-scale corpus of talk radio transcripts. In Proceedings of the 20th Conference of the International Speech Communication Association (INTERSPEECH 2019). Graz, Austria.

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Reversed urbanism: Inferring urban performance through behavioral patterns in temporal telecom data

Noyman, A., Doorley, R., Xiong, Z., Alonso, L., Grignard, A., & Larson, K. (2019). Reversed urbanism: Inferring urban performance through behavioral patterns in temporal telecom data. Environment and Planning B: Urban Analytics and City Science, 46(8), 1480–1498. https://doi.org/10.1177/2399808319840668

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Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks

Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks.", 2019 IEICE Society Conference, Japan, September 2019.

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EMMA: An Emotion-Aware Wellbeing Chatbot

A. Ghandeharioun, D. McDuff, M. Czerwinski and K. Rowan, "EMMA: An Emotion-Aware Wellbeing Chatbot," 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), Cambridge, United Kingdom, 2019, pp. 1-7.

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Engineering Music to Slow Breathing and Invite Relaxed Physiology

Leslie, G.*, Ghandeharioun, A.*, Zhou, D., & Picard, R. W. (2019, September). Engineering Music to Slow Breathing and Invite Relaxed Physiology. In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 1-7). IEEE.

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Automatic Triage and Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation

Jones, N., Jaques, N., Pataranutaporn, P., Ghandeharioun, A., & Picard, R. (2019, September). Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation. In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) (pp. 1-5). IEEE.

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Automatic Triage and Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation

Jones, N., Jaques, N., Pataranutaporn, P., Ghandeharioun, A., & Picard, R. (2019, September). Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation. In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) (pp. 1-5). IEEE.

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Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach

Rudovic, O., Zhang, M, Schuller, B., Picard, R. "Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach", In 2019 International Conference on Multimodal Interaction (ICMI ’19), October 14–18, 2019, Suzhou, China. ACM, New York, NY, USA.

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Low-latency tracking of multiple permanent magnets

C. R. Taylor, H. G. Abramson, and H. M. Herr, “Low-Latency Tracking of Multiple Permanent Magnets,” IEEE Sensors Journal, pp. 1–11, 2019.

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Mars Garden: an Engineered Greenhouse for a Sustainable Residence on Mars

Babakhanova, Siranush, et al. "Mars Garden An Engineered Greenhouse for a Sustainable Residence on Mars." AIAA 2019-4059 (Session: Space Architecture and Mars Mission Considerations). 16 Aug 2019.. https://doi.org/10.2514/6.2019-4059.

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Underwater Backscatter Networking

Underwater Backscatter Networking. JunSu Jang and Fadel Adib. ACM SIGCOMM 2019

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An Investigation of the Centrifugal Casting of Paraffin Wax in the Laboratory and in Microgravity

Stober, K.J., Wanyiri, J., Sanchez, A., Hooper, M., Mazumder, M., Jiwani, S., Waft, C., Lifson, M., Joseph, C., and Wood, D., "An Investigation of the Centrifugal Casting of Paraffin Wax in the Laboratory and in Microgravity," AIAA 2019-4012, AIAA Propulsion and Energy Forum, Indianapolis, IN, August 2019

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Human and Artificial Intelligence in Decision Systems for Social Development

Noriega Campero, A. (2019). Human and Artificial Intelligence in Decision Systems for Social Development (Doctoral dissertation, Massachusetts Institute of Technology).

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Coordination of Lower Limb Movement Utilizing the Agonist-Antagonist Myoneural Interface

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IDK: An Interaction Development Kit to design interactions for lightweight autonomous vehicles

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What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform

Doorley, Ronan & Noyman, Ariel & Sakai, Yasushi & Larson, Kent. (2019). What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform. UrbComp SIGKDD 2019

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A caprine model of the agonist-antagonist myoneural interface as implemented at the above- and below-knee amputation levels.

T. R. Clites, M. J. Carty, S. S. Srinivasan, S. G. Talbot, R. Branemark, H. M. Herr, A caprine model of the agonist-antagonist myoneural interface as implemented at the above- and below-knee amputation levels.: Plastic and Reconstructive Surgery. 2019

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Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being

Nosakhare, E., Picard, R. W. Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being," ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), August 4–8, 2019, Anchorage, AK, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3292500.3330738

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Retinal supplementation augments optogenetic stimulation efficacy in vivo

S. Srinivasan, B. Schelhaas, B. E. Maimon, H. Song, H. M. Herr, Retinal supplementation augments optogenetic stimulation efficacy in vivo. J. Neural Eng. (2019)

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Constructionism, Ethics, and Creativity: Developing Primary and Middle School Artificial Intelligence Education

Ali, S., Williams, R., Payne B., Park H., Breazeal C. (2019) Constructionism, Ethics, and Creativity: Developing Primary and Middle School Artificial Intelligence Education. Presented in the International Workshop on Education in Artificiation Intelligence K-12 (EDUAI ’19). Palo Alto, CA, USA. Proceedings of IJCAI 2019.

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Meta-weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes

Rudovic, O., Utsumi, Y., Guerrero, R., Peterson, K., Rueckert, D., Picard, R. W. "Meta-weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes" Machine Learning for Healthcare Conference (ML4HC2019), August 2019.

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Tweet Moodifier: Towards giving emotional awareness to Twitter users

Belen Saldias F. and Rosalind W. Picard. (2019). Tweet Moodifier: Towards giving emotional awareness to Twitter users. In Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction (ACII 2019). Cambridge, UK.

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Gut-Brain Computer Interfacing (GBCI) : Wearable Monitoring of Gastric Myoelectric Activity

Vujic, A., Krause, C., Tso, G., Lin, J., Han, B., Maes, P. (2019) Gut-Brain Computer Interfacing (GBCI): Wearable Monitoring of Gastric Myoelectric Activity. In 41st Engineering in Medicine and Biology Conference (EMBC), 5886-5889.

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Deep Reality: An Underwater VR experience to promote relaxation by unconscious HR, EDA and brain activity biofeedback

Judith Amores, Anna Fuste, Robert Richer and Pattie Maes. 2019. Deep Reality: An Underwater VR experience to promote relaxation by unconscious HR, EDA and brain activity biofeedback. In ACM SIGGRAPH 2019 Virtual, Augmented, and Mixed Reality (SIGGRAPH '19). ACM, Los Angeles, CA, USA, ACM 978-1-4503-6320-4/19/07. 10.1145/3306449.3328818

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Automated process incorporating machine learning segmentation and correlation of oral diseases with systemic health

Gregory Yauney, Rana A, Javia P, Wong L, Muftu A, Shah P. 41st IEEE International Engineering in Medicine and Biology Conference (2019). DOI: 10.1109/EMBC.2019.8857965

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Digital reconstruction of teeth using near-infrared light

Keith Angelino, Yauney G, Rana A, Muftu A, Edlund D, Shah P. 41st IEEE International Engineering in Medicine and Biology Conference (2019). DOI: 10.1109/EMBC.2019.8857734

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Artificial intelligence and machine learning in clinical development: a translational perspective

Pratik Shah, Francis Kendall, Sean Khozin, Ryan Goosen, Jianying Hu, Jason Laramie, Michael Ringel & Nicholas Schork Nature Digital Medicine volume 2, Article number: 69 (2019). DOI: 10.1038/s41746-019-0148-3

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Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness

Umematsu, T., Sano, A., and Picard, R. "Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness," the 41st International Engineering in Medicine and Biology Conference (EMBC), p.2186-2190, Berlin, July 2019.

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AttentivU: a Biofeedback Device to Monitor and Improve Engagement in the Workplace

Nataliya Kosmyna, Pattie Maes. 2019. AttentivU: a Biofeedback Device to Monitor and Improve Engagement in the Workplace. In the 41st International Engineering in Medicine and Biology Conference, Berlin, Germany, July 23-27.

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Moon Village Reference Masterplan and Habitat Design

Haney, Max; Inocente, Daniel; Katz, Neil; Petrov, Georgi I., et al. "Moon Village Reference Masterplan and Habitat Design." International Conference on Environmental Systems. Skidmore, Owings & Merrill LLP, 2019.

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Design Daydreams: Juxtaposing Digital and Physical Inspiration

Mothersill, P., & Bove, V. M. (2019, June). Design Daydreams: Juxtaposing Digital and Physical Inspiration. In Companion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion (pp. 265-269).

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Social Robots for Hospitalized Children

Logan, Deirdre, et al. "Social Robots for Hospitalized Children." Pediatrics 143.6 (2019).

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BlockArt: Visualizing the 'Hundred Languages' of Code in Children's Creations

Shruti Dhariwal. BlockArt: Visualizing the 'Hundred Languages' of Code in Children's Creations. In Proceedings of the 12th ACM SIGCHI Conference on Creativity and Cognition (C&C '19), San Diego, CA, USA. June 2019.

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Improving cancer diagnosis and care: clinical application of computational methods in precision oncology

Pratik Shah. Proceedings of a Workshop, National Academies of Sciences, Engineering, and Medicine. Washington, DC: The National Academies Press (2019). PMID: 31386317

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Understanding Socio-Technical Issues Affecting the Current Microgravity Research Marketplace

C. Joseph and D. Wood, "Understanding Socio-Technical Issues Affecting the Current Microgravity Research Marketplace," 2019 IEEE Aerospace Conference, Big Sky, MT, USA, 2019, pp. 1-10. doi: 10.1109/AERO.2019.8742202