Publications




Forecasting Hemorrhagic Shock Using Patterns of Physiologic Response to Routine Pre-operative Blood Draws
Xinyu Li, Michael Pinsky, Gilles Clermont, and Artur Dubrawski
Journal Article, Critical Care, No. 23, pp. 89, March, 2019
Hemorrhage diagnosis using sequential deep learning models of waveform vital sign data
Fabian Falck, Michael R. Pinsky, Gilles Clermont, and Artur Dubrawski
Journal Article, Critical Care, Vol. 23, pp. 153, March, 2019
Human Robot Interaction in Agriculture: a Survey and Current Challenges
J. P. Vasconez, G. Kantor, and F. Auat Cheein
Journal Article, Biosystems Engineering, Vol. 179, pp. 35 - 48, March, 2019
Learning to segment moving objects
Pavel Tokmakov, Cordelia Schmid, and Karteek Alahari
Journal Article, International Journal of Computer Vision, Vol. 127, No. 3, pp. 282 - 301, March, 2019
Model-Based Adaptation for Robotics Software
Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, and Pooyan Jamshidi
Journal Article, IEEE Software, Vol. 36, No. 2, pp. 83 - 90, March, 2019
Multi-fidelity Gaussian Process Bandit Optimisation
K. Kandasamy, G. Dasarathy, J. Oliva, J. Schneider, and B. Poczos
Journal Article, Journal of Artificial Intelligence Research, Vol. 66, pp. 151 - 196, March, 2019
Predicting hypotension episode with numerical vital sign signals in the intensive care unit
Joo Heung Yoon, Vincent Jeanselme, Artur Dubrawski, Michael R. Pinsky, and Gilles Clermont
Journal Article, Critical Care, Vol. 23, pp. 149, March, 2019
Smell Pittsburgh: Community-Empowered Mobile Smell Reporting System
Yen-Chia Hsu, Jennifer L. Cross, Paul Dille, Michael Tasota, Beatrice Dias, Randy Sargent, Ting-Hao Huang, and Illah R. Nourbakhsh
Conference Paper, Proceedings of 24th International Conference on Intelligent User Interfaces (IUI '19), pp. 65 - 79, March, 2019
Statistical outbreak detection by joining medical records and pathogen similarity
James K. Miller, Jieshi Chen, Alexander Sundermann, Jane W. Marsh, Melissa I. Saul, Kathleen A. Shutt, Marissa Pacey, Mustapha M. Mustapha, Lee H. Harrison, and Artur Dubrawski
Journal Article, Journal of Biomedical Informatics, Vol. 91, March, 2019
A Planning Pipeline for Large Multi-Agent Missions
Meghan Chandarana, E. L. Meszaros, and B. Danette Allen
Conference Paper, Proceedings of 12th International Conference on Advances in Computer-Human Interactions (ACHI '19), pp. 74 - 79, February, 2019
Distributed matroid-constrained submodular maximization for multi-robot exploration: theory and practice
M. Corah and N. Michael
Journal Article, Autonomous Robots, Vol. 43, No. 2, pp. 485 - 501, February, 2019
Enabling robots to communicate their objectives
Sandy H. Huang, David Held, Pieter Abbeel, and Anca D. Dragan
Journal Article, Autonomous Robots, Vol. 43, No. 2, pp. 309 - 326, February, 2019
Fast Exploration Using Multirotors: Analysis, Planning, and Experimentation
Kshitij Goel, Micah Corah, and Nathan Michael
Tech. Report, CMU-RI-TR-19-03, Robotics Institute, Carnegie Mellon University, February, 2019
Sensorless Pose Determination using Randomized Action Sequences
Pragna Mannam, Alexander Volkov, Jr., Robert Paolini, Gregory Chirikjian, and Matthew T. Mason
Journal Article, Entropy, Vol. 21, No. 2, pp. 154, February, 2019
Neural manifolds: from basic science to practical improvements in brain-computer intefaces
Steven M. Chase
Conference Paper, Proceedings of 7th International Winter Conference on Brain-Computer Interface (BCI '19), February, 2019
Subsurface Microbial Habitats in an Extreme Desert Mars-Analog Environment
K. Warren-Rhodes, K. Lee, S. Archer, N. Cabrol, L. Ng-Boyle, D. Wettergreen, K. Zacny, and S. Pointing
Journal Article, Frontiers in Microbiology, Vol. 10, February, 2019
Towards a Distraction-free Waze
Kevin Christensen, Christoph Mertz, Padmanabhan Pillai, Martial Hebert, and Mahadev Satyanarayanan
Workshop Paper, 20th International Workshop on Mobile Computing Systems and Application (HotMobile '19), pp. 15 - 20, February, 2019
Efficient, multifidelity perceptual representations via hierarchical gaussian mixture models
S. Srivastava and N. Michael
Journal Article, IEEE Transactions on Robotics, Vol. 35, No. 1, pp. 248 - 260, February, 2019
FA*ST: Deep Inverse Reinforcement Learning for Generating Cost Maps from Aerial-View Images
Y. Song, X. Perez, and J. Oh
Miscellaneous, CMU Invention Disclosure 2019-088, February, 2019
Increasing robustness in the detection of freezing of gait in Parkinson's disease
R. San-Segundo, H. Navarro, R. Torres, F. De la Torre, and J. Hodgins
Journal Article, Electronics, Vol. 8, No. 2, pp. 119, February, 2019
Robust Direct Trajectory Optimization Using Approximate Invariant Funnels
Zac Manchester and Scott Kuindersma
Journal Article, Autonomous Robots - Special Issue on Robotics: Science and Systems, Vol. 43, No. 2, pp. 375 – 387, February, 2019
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance
Lipu Zhou, Yi Yang, Montiel Abello, and Michael Kaess
Conference Paper, Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI '19): AAAI Technical Track: Vision, pp. 9307 - 9315, January, 2019
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark
Akshat Agarwal, Ryan Hope, and Katia Sycara
Workshop Paper, AAAI '19 Reinforcement Learning in Games Workshop, January, 2019
Learning with Clusters
Matthew Barnes
PhD Thesis, Tech. Report, CMU-RI-TR-19-02, Robotics Institute, Carnegie Mellon University, January, 2019
Sensing, Measuring, and Modeling Social Signals in Nonverbal Communication
Hanbyul Joo
PhD Thesis, Tech. Report, CMU-RI-TR-19-01, Robotics Institute, Carnegie Mellon University, January, 2019
Learning On-Road Visual Control for Self-Driving Cars with Auxiliary Tasks
Yilun Chen, Praveen Palanisamy, Pri Mudalige, Katharina Muelling, and John M. Dolan
Conference Paper, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV '19), pp. 331 - 338, January, 2019
Photo-Sketching: Inferring Contour Drawings from Images
Mengtian Li, Zhe Lin, Radomír Měch, Ersin Yumer, and Deva Ramanan
Conference Paper, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV '19), pp. 1403 - 1412, January, 2019
ADA: Adversarial Data Augmentation for Object Detection
Sima Behpour, Kris M. Kitani, and Brian D. Ziebart
Conference Paper, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV '19), pp. 1243 - 1252, January, 2019
Behavioral Mimicry in Chinese and Canadian Negotiations: Frequency, Duration and Impact
Zhaleh Semnani-Azad, Katia P. Sycara, Danielle B Rice, Wendi L. Adair, and Michael Lewis
Conference Paper, Proceedings of 52nd Hawaii International Conference on System Sciences (HICSS '19), pp. 481 - 490, January, 2019
Combining Neighborhood-Based Heuristics: A Framework and Pilot Study on Baselines
C-Y. Chuang and S. F. Smith
Tech. Report, CMU-RI-TR-19-04, Robotics Institute, Carnegie Mellon University, January, 2019
Domain Randomization for Scene-Specific Car Detection and Pose Estimation
Rawal Khirodkar, Donghyun Yoo, and Kris M. Kitani
Conference Paper, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV '19), pp. 1932 - 1940, January, 2019
Dynamics of Face and Head Movement in Infants with and without Craniofacial Microsomia: An Automatic Approach
Zakia Hammal, Erin R. Wallace, Matthew L. Speltz, Carrie L Heike, Craig B. Birgfeld, and Jeffrey F. Cohn
Journal Article, Plastic and reconstructive surgery. Global open, Vol. 7, No. 1, January, 2019
High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization
Swaminathan Gurumurthy and Shubham Agrawal
Conference Paper, Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV '19), pp. 1099 - 1108, January, 2019
Human-AI Learning Performance in Multi-Armed Bandits
Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, and Anca D. Dragan
Conference Paper, Proceedings of AAAI/ACM Conference on AI, Ethics, and Society (AIES '19), pp. 369 - 375, January, 2019
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu, Debadeepta Dey, Martial Hebert, and J. Andrew Bagnell
Conference Paper, Proceedings of 33rd National Conference on Artificial Intelligence (AAAI '19), pp. 3812 - 3821, January, 2019
Learning facial action units with spatiotemporal cues and multi-label sampling
W. Chu, F. De la Torre, and J. Cohn
Journal Article, Image and Vision Computing, Vol. 81, pp. 1 - 14, January, 2019
Minding the Gaps in a Video Action Analysis Pipeline
Jia Chen, Jiang Liu, Junwei Liang, Ting-Yao Hu, Wei Ke, Wayner Barrios, Dong Huang, and Alexander G. Hauptmann
Workshop Paper, IEEE Winter Applications of Computer Vision Workshops (WACVW '19), pp. 41 - 46, January, 2019
Multi-Agent Path Finding for Large Agents
Jiaoyang Li, Pavel Surynek, Ariel Felner, Hang Ma, T. K. Satish Kumar, and Sven Koenig
Conference Paper, Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI '19), pp. 7627 - 7634, January, 2019
Perceptions of domestic robots’ normative behavior across cultures
Huao Li, Stephanie Milani, Vigneshram Krishnamoorthy, Michael Lewis, and Katia P. Sycara
Conference Paper, Proceedings of AAAI/ACM Conference on AI, Ethics, and Society (AIES '19), pp. 345 - 351, January, 2019
Searching with Consistent Prioritization for Multi-Agent Path Finding
Hang Ma, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, and Sven Koenig
Conference Paper, Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI '19), pp. 7643 - 7650, January, 2019
Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path Finding
Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Hang Ma, and Sven Koenig
Conference Paper, Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI '19), pp. 6087 - 6095, January, 2019
Towards Better Interpretability in Deep Q-Networks
Raghuram Mandyam Annasamy and Katia P. Sycara
Conference Paper, Proceedings of 33rd National Conference on Artificial Intelligence (AAAI '19), pp. 4561 - 4569, January, 2019
What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System
Mononito Goswami, Shiven Mian, and Jack Mostow
Conference Paper, Proceedings of 33rd National Conference on Artificial Intelligence (AAAI '19) (Student Abstract Track), pp. 9941 - 9942, January, 2019
A Survey of Automated Threaded Fastening
Zhenzhong Jia, Ankit Bhatia, Reuben Aronson, David Bourne, and Matthew T. Mason
Journal Article, IEEE Transactions on Automation Science and Engineering, Vol. 16, No. 1, pp. 298 - 310, 2019
Binarized Severity Level Of Future Instability Risk In Continuously Monitored Patients
Lujie Chen, Artur Dubrawski, Gilles Clermont, Tiffany Pellathy, Anthony Wertz, Joo Heung Yoon, Michael Pinsky, and Marilyn Hravnak
Journal Article, Critical Care Medicine, Vol. 47, No. 1, pp. 605, 2019
From Images to 3D Shape Attributes
David F. Fouhey, Abhinav Gupta, and Andrew Zisserman
Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 1, pp. 93 - 106, 2019
Identifying Time-Interval Features Predictive of Hospital-Acquired Venous Thromboembolism
T. Pellathy, L. Chen, G. Clermont, A. Dubrawski, M. R. Pinsky, and M. Hravnak
Journal Article, Critical Care Medicine, Vol. 47, No. 1, pp. 29, 2019
Panoptic Studio: A Massively Multiview System for Social Interaction Capture
Hanbyul Joo, Tomas Simon, Xulong Li, Hao Liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Godisart, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh
Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 1, pp. 190 - 204, 2019
Predicting neurological recovery with Canonical Autocorrelation Embeddings
Maria De Arteaga, Jieshi Chen, Peter Huggins, Jonathan Elmer, Gilles Clermont, and Artur W. Dubrawski
Journal Article, PLOS ONE, Vol. 14, No. 1, 2019
Using Comparisons to Reduce Cost of Data Annotation Required to Train Models for Bedside Monitoring
J. Sheng, L. Chen, Y. Xu, M. R. Pinsky, M. Hravnak, and A. Dubrawski
Journal Article, Critical Care Medicine, Vol. 47, No. 1, pp. 606, 2019