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
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.
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-(Accepted for publication) (*Senior author supervising research)
Keith Angelino, Yauney G, Rana A, Muftu A, Edlund D, Shah P. 41st IEEE International Engineering in Medicine and Biology Conference-(Accepted for publication)
Nature Digital Medicine volume 2, Article number: 69 (2019)
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. To appear.
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.
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.
Ali Diba, Vivek Sharma, Luc Van Gool, and Rainer Stiefelhagen
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
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
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.
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
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.
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.
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.
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
Saldias-Fuentes, B., Protopapas, P., & Pichara, K. (2019, May). A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification. Proceedings of the 2019 SIAM International Conference on Data Mining (SDM) (pp. 756-764). SIAM.
Ostrowski, A.K., DiPaola, D., Partridge E., Park, H.W., & Breazeal, C. (2019). Older Adults Living with Social Robots: Promoting Social Connectedness in Long-Term Communities. IEEE Robotics & Automation Magazine. doi: 10.1109/MRA.2019.2905234
Lopez-Martinez D, Eschenfeldt P, Ostvar S, Ingram M, Hur C, Picard R. Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks, in Engineering in Medicine and Biology (EMBC). Berlin, Germany ; 2019.
Rahwan, Iyad, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, et al. “Machine Behaviour.” Nature 568, no. 7753 (April 2019): 477. https://doi.org/10.1038/s41586-019-1138-y.
Minsky, Marvin, Mike Travers, Alan Kay, Harold Abelson, Gary Stager, Brian Silverman, Walter Bender, Patrick Henry Winston, and Margaret Minsky. Inventive Minds: Marvin Minsky on Education. Edited by Cynthia Solomon and Xiao Xiao. Cambridge, MA: The MIT Press, 2019.
Castello Ferrer, E., Hardjono, T., Pentland, Alex ('Sandy'). (2019, April 22). Secure and secret cooperation of robotic swarms by using Merkle trees. Retrieved from https://arxiv.org/pdf/1904.09266
Rudovic, O., Park, H-W., Busche, J., Schuller, B. , Breazeal, C., Picard, R. W., " Personalized Estimation of Engagement from Videos Using Active Learning with Deep Reinforcement Learning," IEEE CVPR -AMFG W, June 2019.
Slavich G.M., Taylor S., Picard R.W. "Stress measurement using speech: Recent advancements, validation issues, and ethical and privacy considerations," Stress, 2019.
Johnson, Arielle J., Elliot Meyerson, John de la Parra, Timothy L. Savas, Risto Miikkulainen, and Caleb B. Harper. “Flavor-Cyber-Agriculture: Optimization of Plant Metabolites in an Open-Source Control Environment through Surrogate Modeling.” PLOS ONE 14, no. 4 (April 3, 2019): e0213918. https://doi.org/10.1371/journal.pone.0213918.
Cherston, Juliana, and Joseph A. Paradiso. "SpaceSkin: development of aerospace-grade electronic textile for simultaneous protection and high velocity impact characterization." Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019. Vol. 10970. International Society for Optics and Photonics, 2019.
Cherston, Juliana, Paul Strohmeier, and Joseph A. Paradiso. "Grappler: Array of Bistable Elements For Pinching Net-Like Infrastructure to Low Gravity Bodies." AIAA Scitech 2019 Forum. 2019.
Noble, Charleston, John Min, Jason Olejarz, Joanna Buchthal, Alejandro Chavez, Andrea L. Smidler, Erika A. DeBenedictis, George M. Church, Martin A. Nowak, and Kevin M. Esvelt. “Daisy-Chain Gene Drives for the Alteration of Local Populations.” Proceedings of the National Academy of Sciences, April 2, 2019, 201716358. https://doi.org/10.1073/pnas.1716358116.
Khawalid, A., Acristinii, D., van Toor, H., & Castelló Ferrer, E. (2019). Grex: A Decentralized Hive Mind. Ledger, 4. doi:https://doi.org/10.5195/ledger.2019.176
Kapitonov, A., Lonshakov, S., Berman, I., Castelló Ferrer, E., Bonsignorio, F., Bulatov, V., & Svistov, A. (2019). Robotic Services for New Paradigm Smart Cities Based on Decentralized Technologies. Ledger, 4. doi:https://doi.org/10.5195/ledger.2019.177
Castelló Ferrer, E., Hardjono, T., & Pentland, A. (2019). Editorial: Proceedings of the First Symposium on Blockchain and Robotics, MIT Media Lab, 5 December 2018. Ledger, 4. doi:https://doi.org/10.5195/ledger.2019.179
Frank, Morgan R., David Autor, James E. Bessen, Erik Brynjolfsson, Manuel Cebrian, David J. Deming, Maryann Feldman, et al. “Toward Understanding the Impact of Artificial Intelligence on Labor.” Proceedings of the National Academy of Sciences, March 25, 2019, 201900949. https://doi.org/10.1073/pnas.1900949116.
For a full list of Shuguang Zhang's publications, please visit his website: https://www.moleculararchitecture.org/