Amores, Judith, Dotan, Mae, Maes, Pattie. "An Exploration of Form Factors for Sleep-Olfactory Interfaces" 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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

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.

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

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

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.

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 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, Vivek Sharma, Luc Van Gool, and Rainer Stiefelhagen. In IEEE International Conference on Computer Vision (ICCV), 2019.

Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Juergen Gall, Rainer Stiefelhagen and Luc Van Gool . CoRR abs/1904.11451, 2019

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

M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen. In IEEE Computer Vision and Pattern Recognition (CVPR), 2019

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.

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)

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.

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.

Thesis: Tina Quach. Agent-based Programming Interfaces for Children: Supporting Blind Children in Creative Computing through Conversation. Massachusetts Institute of Technology. May 2019.

Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, and Rainer Stiefelhagen. In IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2019

Ramesh Raskar, Praneeth Vepakomma, Tristan Swedish, Aalekh Sharan. Data Markets to support AI for All: Pricing, Valuation and Governance, arXiv:1905.06462 (2019).

Amores, J., Fuste, A., Richer, R., & Maes, P. (2019, May). Deep Reality: Towards Increasing Relaxation in VR with subtly changing light, sound and movement based on HR, EDA, and EEG. In Proceedings of the 2019 CHI Conference Extended Abstracts on Human Factors in Computing Systems . ACM.

Harpreet Sareen, Jiefu Zheng, and Pattie Maes. 2019. Cyborg Botany: Augmented Plants as Sensors, Displays and Actuators. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19). ACM, New York, NY, USA.

Praneeth Vepakomma, Otkrist Gupta, Abhimanyu Dubey, Ramesh Raskar. Reducing Leakage in Distributed Deep Learning for Sensitive Health Data, ICLR 2019 AI for Social Good Workshop (2019).

Misha Sra, Abhinandan Jain, and Pattie Maes. 2019. Adding Proprioceptive Feedback to Virtual Reality Experiences Using Galvanic Vestibular Stimulation. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, Paper 675, 14 pages. DOI: https://doi.org/10.1145/3290605.3300905

Zepf, S., Dittrich, M., Hernandez, J., Schmitt, A. "Towards Empathetic Car Interfaces: Emotional Triggers while Driving," In the Late Breaking Work of CHI, Glasgow, UK, May 2019.

Nataliya Kosmyna, Caitlin Morris, Utkarsh Sarawgi, Thanh Nguyen and Pattie Maes. 2019. AttentivU: A Biofeedback System for Real-time Monitoring and Improvement of Engagement. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19). ACM, New York, NY, USA, Paper VS07, 2 pages. DOI: https://doi.org/10.1145/3290607.3311768

Kevin Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, and César Hidalgo. 2019. VizML: A Machine Learning Approach to Visualization Recommendation. In CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019), May 4–9, 2019, Glasgow, Scotland UK. ACM, New York, NY, USA, 18 pages. https://doi.org/10.1145/3290605.33003581

Kevin Hu, Neil Gaikwad, Michiel Bakker, Madelon Hulsebos, Emanuel Zgraggen, César Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, and Çağatay Demiralp. 2019. VizNet: Towards a large-scale visualization learning and benchmarking repository. In Proceedings of the 2019 Conference on Human Factors in Computing Systems (CHI). ACM.

Randi Williams, Hae Won Park, and Cynthia Breazeal. 2019. A is for Artificial Intelligence. In Proceedings of the 2019 Conference on Human Factors in Computing (CHI ’19). ACM, New York, NY, USA.

Nataliya Kosmyna, Caitlin Morris, Utkarsh Sarawgi, Thanh Nguyen, Pattie Maes. 2019. AttentivU: a Wearable Pair of EEG and EOG Glasses for Real-Time Physiological Processing. In the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN’19), Chicago, IL, United States, May 19-22.

Xinlei Zhang, Ali Shtarbanov, Jiani Zeng, Valerie K. Chen, V. Michael Bove, Pattie Maes, and Jun Rekimoto. 2019. Bubble: Wearable Assistive Grasping Augmentation Based on Soft Inflatables. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19). ACM, New York, NY, USA, Paper LBW2313, 6 pages. DOI: https://doi.org/10.1145/3290607.3312868

Harpreet Sareen and Pattie Maes. 2019. Cyborg Botany: Exploring In-Planta Cybernetic Systems for Interaction. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19). ACM, New York, NY, USA