Balland, P., Jara-Figueroa, C., Petralia, S.G. et al. Complex Economic Activities Concentrate in Large Cities. Nature Human Behavior (2020) doi:10.1038/s41562-019-0803-3
Huili Chen, Hae Won Park, Xiajie Zhang, and Cynthia Breazeal. 2020. Impact of Interaction Context on the Student Affect-Learning Relationship in Child-Robot Interaction. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20) https://doi.org/10.1145/3319502.3374822
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.
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. (*equal contribution)
Johnson, K.T.*, Narain, J.*, Ferguson, C., Picard, R., and Maes, P. (*Equal Contribution). 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). Accepted.
Wicaksono, I., Dagdeviren, C., “Chapter 18: Flexible and Stretchable Devices for Human-Machine Interfaces," Handbook of Flexible and Stretchable Electronics, CRC Press, Taylor & Francis Group 2019.
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.
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).
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.
Bernal, Guillermo, Lily Zhou, Haripriya Mehta, and Pattie Maes. NeurIPS Workshop on Machine Learning for Creativity and Design, December 14, 2019.
Jaques, Natasha. Social and Affective Machine Learning. 2019. Massachusetts Institute of Technology, PhD dissertation.
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
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.
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.
Felix Schoeller, Adam Haar Horowitz, Abhinandan Jain, Pattie Maes. Physics of Life Reviews. 2019
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.
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
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
Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, GN Prasanna, Ramesh Raskar
Narain, J*., Johnson, K*., Picard, R., 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. Accepted. *Equal Contribution.
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
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
Detailed comparison of communication efficiency of split learning and federated learning, Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta, Ramesh Raskar
Vijayaraghavan, Prashanth, and Deb Roy. "Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model." arXiv preprint arXiv:1909.07873 (2019).
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.
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
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.
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.
C. R. Taylor, H. G. Abramson, and H. M. Herr, “Low-Latency Tracking of Multiple Permanent Magnets,” IEEE Sensors Journal, pp. 1–11, 2019.
Underwater Backscatter Networking. JunSu Jang and Fadel Adib. ACM SIGCOMM 2019
Noriega Campero, A. (2019). Human and Artificial Intelligence in Decision Systems for Social Development (Doctoral dissertation, Massachusetts Institute of Technology).
 Solomon et al., 2007. Summary for Policymakers. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.  USEPA. (April 2012). Inventory of U.S Greenhouse gas emissions and sinks: 1990-2016, Figure 3-5.
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
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
S. Srinivasan, B. Schelhaas, B. E. Maimon, H. Song, H. M. Herr, Retinal supplementation augments optogenetic stimulation efficacy in vivo. J. Neural Eng. (2019)
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.
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.
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.
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.
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
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
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
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
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.
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.
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.
Logan, Deirdre, et al. "Social Robots for Hospitalized Children." Pediatrics 143.6 (2019).
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.
Pratik Shah. Proceedings of a Workshop, National Academies of Sciences, Engineering, and Medicine. Washington, DC: The National Academies Press (2019). https://doi.org/10.17226/25404
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
Obidin, N., Tasnim, F., Dagdeviren, C.†, Advanced Materials, 1901482, 2019. [Invited Review Paper]
Kory-Westlund, J. M., & Breazeal, C. (2019). Assessing Children's Perception and Acceptance of a Social Robot. Proceedings of the 18th ACM Interaction Design and Children Conference (IDC) (pp. 38-50). ACM: New York, NY.
S. Srinivasan, K. Vyas, M. McAvoy, P. Calvaresi, O. Khan, R. Langer, D. Anderson, H. Herr, Polyimide Electrode-based Electrical Stimulation Impedes Early Stage Muscle Graft Regeneration. Front. Neurol. 10 (2019),
Sang-won Leigh, Abhinandan Jain, Pattie Maes. 2019. Exploring Human-Machine Synergy and Interaction on a Robotic Instrument. In International Conference on New Interfaces for Musical Expression (NIME-2019)
Ali Diba, Vivek Sharma, Luc Van Gool, and Rainer Stiefelhagen. In IEEE International Conference on Computer Vision (ICCV), 2019.
Ali S., Muralidharan L., Alfieri F., Agrawal M., Jorgensen J. (2019) Sonify: Making Visual Graphs Accessible. In: Ahram T., Taiar R., Colson S., Choplin A. (eds) Human Interaction and Emerging Technologies. IHIET 2019. Advances in Intelligent Systems and Computing, vol 1018. Springer, Cham
Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Juergen Gall, Rainer Stiefelhagen and Luc Van Gool . CoRR abs/1904.11451, 2019
Su, D. (2019). Massively Multiplayer Operas: Interactive Systems for Collaborative Musical Narrative. Massachusetts Institute of Technology.
Ali Diba, Vivek Sharma, Rainer Stiefelhagen and Luc Van Gool. In IEEE CVPR Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (CEFRL), 2019
Advincula, Gabriela Bila, Don Derek Haddad, and Kent Larson. "Grain Prism: Hieroglyphic Interface for Granular Sampling."
M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen. In IEEE Computer Vision and Pattern Recognition (CVPR), 2019
Bernal, Guillermo R, et al. “Paper Dreams: An Adaptive Canvas That Assists Users with Generating and Visualizing Stories.” GANocracy Workshop on Theory, Practice and Artistry of Deep Generative Modeling , 31 May 2019, p. 1., http://ganocracy.csail.mit.edu/.
Berke, Alex, Calacci, Dan, Larson, Kent, Pentland, Alex (Sandy), "The Tradeoff Between the Utility and Risk of Location Data and Implications for Public Good," arXiv.org, 2019.
Marrocco, L., Ferrer, E. C., Bucchiarone, A., Grignard, A., Alonso, L., Larson, K., & Pentland, A. (2018, July). BASIC: Towards a Blockchained Agent-Based SImulator for Cities. In International Workshop on Massively Multiagent Systems (pp. 144-162). Springer, Cham.
Umematsu, T., Sano, A., Taylor, S., and Picard, R. "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks." IEEE International Conference on Biomedical and Health Informatics (BHI), Chicago, Illinois, May 2019. (BEST PAPER AWARD - 1st Prize)
Koushik, A., Amores, J., & Maes, P. (2019, May). Real-time Smartphone-based Sleep Staging using 1-Channel EEG . In 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN). IEEE.