John V. Guttag

217 papers A* 41A 6B 2Misc 3Journal 104Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AtlasMorph: Learning conditional deformable templates for brain MRI. Medical Image Anal. Marianne Rakic, Andrew Hoopes, S. Mazdak Abulnaga, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2026	J	`jnl`	Improving Domain Generalization in Contrastive Learning using Adaptive Temperature Control. CoRR Robert A. Lewis, Katie Matton, Rosalind W. Picard, John V. Guttag
2026	J	`jnl`	Position: Evaluation of ECG Representations Must Be Fixed. CoRR Zachary Berger, Daniel Prakah-Asante, John V. Guttag, Collin M. Stultz
2026	J	`jnl`	Role Classification of Hosts within Enterprise Networks Based on Connection Patterns. CoRR Godfrey Tan, Massimiliano Poletto, John V. Guttag, M. Frans Kaashoek
2026	J	`jnl`	The 802.11 MAC protocol leads to inefficient equilibria. CoRR Godfrey Tan, John V. Guttag
2026	J	`jnl`	Time-based Fairness Improves Performance in Multi-rate WLANs. CoRR Godfrey Tan, John V. Guttag
2025	J	`jnl`	AtlasMorph: Learning conditional deformable templates for brain MRI. CoRR Marianne Rakic, Andrew Hoopes, S. Mazdak Abulnaga, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2025	J	`jnl`	Classifying Phonotrauma Severity from Vocal Fold Images with Soft Ordinal Regression. CoRR Katie Matton, Purvaja Balaji, Hamzeh Ghasemzadeh, Jameson C. Cooper, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, Rosalind W. Picard, John V. Guttag, S. Mazdak Abulnaga
2025	J	`jnl`	Evaluating multiple models using labeled and unlabeled data. CoRR Divya Shanmugam, Shuvom Sadhuka, Manish Raghavan, John V. Guttag, Bonnie Berger, Emma Pierson
2025	A*	`conf`	MultiMorph: On-demand Atlas Construction. CVPR S. Mazdak Abulnaga, Andrew Hoopes, Neel Dey, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca
2025	J	`jnl`	MultiMorph: On-demand Atlas Construction. CoRR S. Mazdak Abulnaga, Andrew Hoopes, Neel Dey, Malte Hoffmann, Marianne Rakic, Bruce Fischl, John V. Guttag, Adrian V. Dalca
2025	J	`jnl`	Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains. CoRR Marianne Rakic, Siyu Gai, Etienne Chollet, John V. Guttag, Adrian V. Dalca
2025	A*	`conf`	Test-time Augmentation Improves Efficiency in Conformal Prediction. CVPR Divya Shanmugam, Helen Lu, Swami Sankaranarayanan, John V. Guttag
2025	J	`jnl`	Test-time augmentation improves efficiency in conformal prediction. CoRR Divya Shanmugam, Helen Lu, Swami Sankaranarayanan, John V. Guttag
2025	J	`jnl`	Unified Brain Surface and Volume Registration. CoRR S. Mazdak Abulnaga, Andrew Hoopes, Malte Hoffmann, Robin Magnet, Maks Ovsjanikov, Lilla Zöllei, John V. Guttag, Bruce Fischl, Adrian V. Dalca
2025	A*	`conf`	Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations. ICLR Katie Matton, Robert Osazuwa Ness, John V. Guttag, Emre Kiciman
2025	J	`jnl`	Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations. CoRR Katie Matton, Robert Osazuwa Ness, John V. Guttag, Emre Kiciman
2024	A*	`conf`	Magnitude Invariant Parametrizations Improve Hypernetwork Learning. ICLR Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2024	J	`jnl`	MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance. CoRR Hallee E. Wong, Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2024	—	`conf`	ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image. ECCV (40) Hallee E. Wong, Marianne Rakic, John V. Guttag, Adrian V. Dalca
2024	J	`jnl`	Tyche: Stochastic In-Context Learning for Medical Image Segmentation. CoRR Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth A. Cimini, John V. Guttag, Adrian V. Dalca
2024	A*	`conf`	Tyche: Stochastic in-Context Learning for Medical Image Segmentation. CVPR Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth A. Cimini, John V. Guttag, Adrian V. Dalca
2024	J	`jnl`	VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis. CoRR Andrew Hoopes, Victor Ion Butoi, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	Amortized Learning of Dynamic Feature Scaling for Image Segmentation. CoRR Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2023	—	`conf`	Coarse race data conceals disparities in clinical risk score performance. MLHC Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg, Emma Pierson
2023	J	`jnl`	Coarse race data conceals disparities in clinical risk score performance. CoRR Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg, Emma Pierson
2023	—	`conf`	Contrastive Learning of Electrodermal Activity Representations for Stress Detection. CHIL Katie Matton, Robert Lewis, John V. Guttag, Rosalind W. Picard
2023	J	`jnl`	Generating Image-Specific Text Improves Fine-grained Image Classification. CoRR Emily Mu, Kathleen M. Lewis, Adrian V. Dalca, John V. Guttag
2023	A*	`conf`	Kaleidoscope: Semantically-grounded, context-specific ML model evaluation. CHI Harini Suresh, Divya Shanmugam, Tiffany L. Chen, Annie G. Bryan, Alexander D'Amour, John V. Guttag, Arvind Satyanarayan
2023	J	`jnl`	Multi-Similarity Contrastive Learning. CoRR Emily Mu, John V. Guttag, Maggie Makar
2023	J	`jnl`	Non-Proportional Parametrizations for Stable Hypernetwork Learning. CoRR Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2023	—	`conf`	Saliency Cards: A Framework to Characterize and Compare Saliency Methods. FAccT Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan
2023	A*	`conf`	Scale-Space Hypernetworks for Efficient Biomedical Image Analysis. NeurIPS Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image. CoRR Hallee E. Wong, Marianne Rakic, John V. Guttag, Adrian V. Dalca
2023	A*	`conf`	Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. ICML Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz
2023	J	`jnl`	Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. CoRR Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz
2023	A*	`conf`	UniverSeg: Universal Medical Image Segmentation. ICCV Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	UniverSeg: Universal Medical Image Segmentation. CoRR Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2022	J	`jnl`	At the Intersection of Deep Learning and Conceptual Art: The End of Signature. CoRR Divya Shanmugam, Katie Lewis, Jose Javier Gonzalez Ortiz, Agnieszka Kurant, John V. Guttag
2022	J	`jnl`	Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods. CoRR Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan
2022	—	`conf`	Data Augmentation for Electrocardiograms. CHIL Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz
2022	J	`jnl`	Data Augmentation for Electrocardiograms. CoRR Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz
2022	J	`jnl`	Improved Text Classification via Test-Time Augmentation. CoRR Helen Lu, Divya Shanmugam, Harini Suresh, John V. Guttag
2022	A	`conf`	Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs. IUI Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan
2022	J	`jnl`	Learning the Effect of Registration Hyperparameters with HyperMorph. CoRR Andrew Hoopes, Malte Hoffmann, Douglas N. Greve, Bruce Fischl, John V. Guttag, Adrian V. Dalca
2022	J	`jnl`	SizeGAN: Improving Size Representation in Clothing Catalogs. CoRR Kathleen M. Lewis, John V. Guttag
2021	—	`conf`	A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle. EAAMO Harini Suresh, John V. Guttag
2021	A*	`conf`	Better Aggregation in Test-Time Augmentation. ICCV Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag
2021	J	`jnl`	Do as AI say: susceptibility in deployment of clinical decision-aids. npj Digit. Medicine Susanne Gaube, Harini Suresh, Martina Raue, Alexander Merritt, Seth J. Berkowitz, Eva Lermer, Joseph F. Coughlin, John V. Guttag, Errol Colak, Marzyeh Ghassemi
2021	A*	`conf`	Exploiting structured data for learning contagious diseases under incomplete testing. ICML Maggie Makar, Lauren West, David Hooper, Eric Horvitz, Erica Shenoy, John V. Guttag
2021	—	`conf`	HyperMorph: Amortized Hyperparameter Learning for Image Registration. IPMI Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca
2021	J	`jnl`	HyperMorph: Amortized Hyperparameter Learning for Image Registration. CoRR Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca
2021	J	`jnl`	Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs. CoRR Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan
2021	J	`jnl`	Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction. CoRR Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
2021	—	`conf`	Learning to predict with supporting evidence: applications to clinical risk prediction. CHIL Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
2021	A*	`conf`	Multiplying Matrices Without Multiplying. ICML Davis W. Blalock, John V. Guttag
2021	J	`jnl`	Multiplying Matrices Without Multiplying. CoRR Davis W. Blalock, John V. Guttag
2020	J	`jnl`	Anatomical Predictions using Subject-Specific Medical Data. CoRR Marianne Rakic, John V. Guttag, Adrian V. Dalca
2020	A*	`conf`	Estimation of Bounds on Potential Outcomes For Decision Making. ICML Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag
2020	—	`conf`	Fast learning-based registration of sparse 3D clinical images. CHIL Kathleen M. Lewis, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
2020	A*	`conf`	Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CVPR Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
2020	J	`jnl`	Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CoRR Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
2020	J	`jnl`	Unsupervised Domain Adaptation in the Absence of Source Data. CoRR Roshni Sahoo, Divya Shanmugam, John V. Guttag
2020	—	`conf`	What is the State of Neural Network Pruning? MLSys Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag
2020	J	`jnl`	What is the State of Neural Network Pruning? CoRR Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag
2020	J	`jnl`	When and Why Test-Time Augmentation Works. CoRR Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag
2019	J	`jnl`	A Framework for Understanding Unintended Consequences of Machine Learning. CoRR Harini Suresh, John V. Guttag
2019	J	`jnl`	Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CoRR Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu
2019	A*	`conf`	Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. CVPR Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
2019	J	`jnl`	Data augmentation using learned transforms for one-shot medical image segmentation. CoRR Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
2019	J	`jnl`	Estimation of Utility-Maximizing Bounds on Potential Outcomes. CoRR Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag
2019	J	`jnl`	Image segmentation of liver stage malaria infection with spatial uncertainty sampling. CoRR Ava P. Soleimany, Harini Suresh, Jose Javier Gonzalez Ortiz, Divya Shanmugam, Nil Gural, John V. Guttag, Sangeeta N. Bhatia
2019	A*	`conf`	Learning Conditional Deformable Templates with Convolutional Networks. NeurIPS Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu
2019	J	`jnl`	Learning Conditional Deformable Templates with Convolutional Networks. CoRR Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu
2019	—	`conf`	Learning from Few Subjects with Large Amounts of Voice Monitoring Data. MLHC Jose Javier Gonzalez Ortiz, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag, Marzyeh Ghassemi
2019	—	`conf`	Multiple Instance Learning for ECG Risk Stratification. MLHC Divya Shanmugam, Davis W. Blalock, John V. Guttag
2019	J	`jnl`	Unsupervised Data Imputation via Variational Inference of Deep Subspaces. CoRR Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu
2019	J	`jnl`	Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces. CoRR Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2019	J	`jnl`	Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. Medical Image Anal. Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2019	A*	`conf`	Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. ICCV Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman
2019	J	`jnl`	Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. CoRR Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman
2019	J	`jnl`	VoxelMorph: A Learning Framework for Deformable Medical Image Registration. IEEE Trans. Medical Imaging Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	A*	`conf`	An Unsupervised Learning Model for Deformable Medical Image Registration. CVPR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	J	`jnl`	An Unsupervised Learning Model for Deformable Medical Image Registration. CoRR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	A*	`conf`	Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CVPR Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu
2018	J	`jnl`	Fast Learning-based Registration of Sparse Clinical Images. CoRR Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
2018	A*	`conf`	Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU. KDD Harini Suresh, Jen J. Gong, John V. Guttag
2018	J	`jnl`	Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU. CoRR Harini Suresh, Jen J. Gong, John V. Guttag
2018	A*	`conf`	Learning the Probability of Activation in the Presence of Latent Spreaders. AAAI Maggie Makar, John V. Guttag, Jenna Wiens
2018	—	`conf`	Learning to Summarize Electronic Health Records Using Cross-Modality Correspondences. MLHC Jen J. Gong, John V. Guttag
2018	J	`jnl`	Multiple Instance Learning for ECG Risk Stratification. CoRR Divya Shanmugam, Davis W. Blalock, Jen J. Gong, John V. Guttag
2018	J	`jnl`	Sprintz: Time Series Compression for the Internet of Things. CoRR Davis W. Blalock, Samuel Madden, John V. Guttag
2018	J	`jnl`	Sprintz: Time Series Compression for the Internet of Things. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Davis W. Blalock, Samuel Madden, John V. Guttag
2018	A*	`conf`	Synthesizing Images of Humans in Unseen Poses. CVPR Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag
2018	J	`jnl`	Synthesizing Images of Humans in Unseen Poses. CoRR Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag
2018	—	`conf`	Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. MICCAI (1) Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2018	J	`jnl`	Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. CoRR Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2018	J	`jnl`	Visualizing Patient Timelines in the Intensive Care Unit. CoRR Dina Levy-Lambert, Jen J. Gong, Tristan Naumann, Tom J. Pollard, John V. Guttag
2018	J	`jnl`	VoxelMorph: A Learning Framework for Deformable Medical Image Registration. CoRR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2017	—	`conf`	A Video-Based Method for Automatically Rating Ataxia. MLHC Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, Frédo Durand, John V. Guttag
2017	A*	`conf`	Bolt: Accelerated Data Mining with Fast Vector Compression. KDD Davis W. Blalock, John V. Guttag
2017	J	`jnl`	Bolt: Accelerated Data Mining with Fast Vector Compression. CoRR Davis W. Blalock, John V. Guttag
2017	J	`jnl`	Eulerian video magnification and analysis. Commun. ACM Neal Wadhwa, Hao-Yu Wu, Abe Davis, Michael Rubinstein, Eugene Shih, Gautham J. Mysore, Justin G. Chen, Oral Büyüköztürk, John V. Guttag, William T. Freeman, Frédo Durand
2017	J	`jnl`	Learning the Probability of Activation in the Presence of Latent Spreaders. CoRR Maggie Makar, John V. Guttag, Jenna Wiens
2017	A*	`conf`	Predicting Clinical Outcomes Across Changing Electronic Health Record Systems. KDD Jen J. Gong, Tristan Naumann, Peter Szolovits, John V. Guttag
2016	J	`jnl`	A Video-Based Method for Objectively Rating Ataxia. CoRR Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, John V. Guttag, Frédo Durand
2016	A*	`conf`	Developing a Data-Driven Player Ranking in Soccer Using Predictive Model Weights. KDD Joel Brooks, Matthew Kerr, John V. Guttag
2016	A*	`conf`	EXTRACT: Strong Examples from Weakly-Labeled Sensor Data. ICDM Davis W. Blalock, John V. Guttag
2016	J	`jnl`	EXTRACT: Strong Examples from Weakly-Labeled Sensor Data. CoRR Davis W. Blalock, John V. Guttag
2016	J	`jnl`	Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach. J. Mach. Learn. Res. Jenna Wiens, John V. Guttag, Eric Horvitz
2016	A	`conf`	Towards an Automated Screening Tool for Developmental Speech and Language Impairments. INTERSPEECH Jen J. Gong, Maryann Gong, Dina Levy-Lambert, Jordan R. Green, Tiffany P. Hogan, John V. Guttag
2016	—	`conf`	Transferring Knowledge from Text to Predict Disease Onset. MLHC Yun Liu, Collin M. Stultz, John V. Guttag, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su
2016	J	`jnl`	Transferring Knowledge from Text to Predict Disease Onset. CoRR Yun Liu, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su, Collin M. Stultz, John V. Guttag
2016	—	`conf`	Uncovering Voice Misuse Using Symbolic Mismatch. MLHC Marzyeh Ghassemi, Zeeshan Syed, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag
2016	J	`jnl`	Uncovering Voice Misuse Using Symbolic Mismatch. CoRR Marzyeh Ghassemi, Zeeshan Syed, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag
2016	J	`jnl`	Using machine learning to draw inferences from pass location data in soccer. Stat. Anal. Data Min. Joel Brooks, Matthew Kerr, John V. Guttag
2015	J	`jnl`	Corrections to "Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results For Vocal Fold Nodules". IEEE Trans. Biomed. Eng. Marzyeh Ghassemi, Jarrad H. Van Stan, Daryush D. Mehta, Matías Zanartu, Harold A. Cheyne II, Robert E. Hillman, John V. Guttag
2015	—	`conf`	Estimating a Small Signal in the Presence of Large Noise. ICCV Workshops Amy Zhao, Frédo Durand, John V. Guttag
2015	J	`jnl`	Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration. J. Biomed. Informatics Anima Singh, Girish N. Nadkarni, Omri Gottesman, Stephen B. Ellis, Erwin P. Bottinger, John V. Guttag
2015	A*	`conf`	Instance Weighting for Patient-Specific Risk Stratification Models. KDD Jen J. Gong, Thoralf M. Sundt, James D. Rawn, John V. Guttag
2015	J	`jnl`	Video diff: highlighting differences between similar actions in videos. ACM Trans. Graph. Guha Balakrishnan, Frédo Durand, John V. Guttag
2014	J	`jnl`	A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions. J. Am. Medical Informatics Assoc. Jenna Wiens, John V. Guttag, Eric Horvitz
2014	J	`jnl`	Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results for Vocal Fold Nodules. IEEE Trans. Biomed. Eng. Marzyeh Ghassemi, Jarrad H. Van Stan, Daryush D. Mehta, Matías Zanartu, Harold A. Cheyne II, Robert E. Hillman, John V. Guttag
2014	—	`conf`	Leveraging hierarchy in medical codes for predictive modeling. BCB Anima Singh, Girish N. Nadkarni, John V. Guttag, Erwin P. Bottinger
2013	A*	`conf`	A data-driven method for in-game decision making in MLB: when to pull a starting pitcher. KDD Gartheeban Ganeshapillai, John V. Guttag
2013	—	`conf`	Collaborative Filtering for Identifying Prescription Omissions in an ICU. HEALTHINF Anima Singh, John V. Guttag
2013	A*	`conf`	Detecting Pulse from Head Motions in Video. CVPR Guha Balakrishnan, Frédo Durand, John V. Guttag
2013	—	`conf`	Learning Connections in Financial Time Series. ICML (2) Gartheeban Ganeshapillai, John V. Guttag, Andrew Lo
2012	J	`jnl`	Eulerian video magnification for revealing subtle changes in the world. ACM Trans. Graph. Hao-Yu Wu, Michael Rubinstein, Eugene Shih, John V. Guttag, Frédo Durand, William T. Freeman
2012	—	`conf`	Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task. NIPS Jenna Wiens, John V. Guttag, Eric Horvitz
2012	J	`jnl`	Real Time Reconstruction of Multi Parameter Physiological Signals. EURASIP J. Adv. Signal Process. Gartheeban Ganeshapillai, John V. Guttag
2011	—	`conf`	A comparison of non-symmetric entropy-based classification trees and support vector machine for cardiovascular risk stratification. EMBC Anima Singh, John V. Guttag
2011	—	`conf`	An algorithm for detecting seizure termination in scalp EEG. EMBC Ali H. Shoeb, Alaa Kharbouch, Jacqueline Soegaard, Steven Schachter, John V. Guttag
2011	—	`conf`	Patient-specific ventricular beat classification without patient-specific expert knowledge: A transfer learning approach. EMBC Jenna Wiens, John V. Guttag
2011	—	`conf`	Reconstruction of ECG signals in presence of corruption. EMBC Gartheeban Ganeshapillai, Jessica F. Liu, John V. Guttag
2011	J	`jnl`	Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data. J. Mach. Learn. Res. Zeeshan Syed, John V. Guttag
2011	—	`conf`	Weighted Time Warping for Temporal Segmentation of Multi-parameter Physiological Signals. BIOSIGNALS Gartheeban Ganeshapillai, John V. Guttag
2010	J	`jnl`	A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System. IEEE J. Solid State Circuits Naveen Verma, Ali H. Shoeb, Jose L. Bohorquez, Joel L. Dawson, John V. Guttag, Anantha P. Chandrakasan
2010	—	`conf`	Active Learning Applied to Patient-Adaptive Heartbeat Classification. NIPS Jenna Wiens, John V. Guttag
2010	A*	`conf`	Application of Machine Learning To Epileptic Seizure Detection. ICML Ali H. Shoeb, John V. Guttag
2010	—	`conf`	Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch. NIPS Zeeshan Syed, John V. Guttag
2010	J	`jnl`	Motif discovery in physiological datasets: A methodology for inferring predictive elements. ACM Trans. Knowl. Discov. Data Zeeshan Syed, Collin M. Stultz, Manolis Kellis, Piotr Indyk, John V. Guttag
2009	A*	`conf`	Cutting the electric bill for internet-scale systems. SIGCOMM Asfandyar Qureshi, Rick Weber, Hari Balakrishnan, John V. Guttag, Bruce M. Maggs
2009	J	`jnl`	Learning Approximate Sequential Patterns for Classification. J. Mach. Learn. Res. Zeeshan Syed, Piotr Indyk, John V. Guttag
2009	J	`jnl`	Non-Invasive Computerized System for Automatically Initiating Vagus Nerve Stimulation Following Patient-Specific Detection of Seizures or epileptiform discharges. Int. J. Neural Syst. Ali H. Shoeb, Trudy Pang, John V. Guttag, Steven Schachter
2009	Misc	`conf`	Quantifying morphology changes in time series data with skew. ICASSP Phil Sung, Zeeshan Syed, John V. Guttag
2009	A	`conf`	Sensor selection for energy-efficient ambulatory medical monitoring. MobiSys Eugene Shih, Ali H. Shoeb, John V. Guttag
2009	J	`jnl`	Using ambient intelligence for physiological monitoring. J. Ambient Intell. Smart Environ. Dorothy Curtis, Jacob Bailey, Esteban J. Pino, Thomas O. Stair, Staal Amund Vinterbo, Jason Waterman, Eugene Shih, John V. Guttag, Robert A. Greenes, Lucila Ohno-Machado
2008	J	`jnl`	Application of Information Technology: SMART - An Integrated Wireless System for Monitoring Unattended Patients. J. Am. Medical Informatics Assoc. Dorothy Curtis, Esteban J. Pino, Jacob Bailey, Eugene Shih, Jason Waterman, Staal Amund Vinterbo, Thomas O. Stair, John V. Guttag, Robert A. Greenes, Lucila Ohno-Machado
2008	—	`conf`	Physiological signal monitoring in the waiting areas of an emergency room. BODYNETS Dorothy Curtis, Eugene Shih, Jason Waterman, John V. Guttag, Jacob Bailey, Thomas O. Stair, Robert A. Greenes, Lucila Ohno-Machado
2007	J	`jnl`	A Framework for the Analysis of Acoustical Cardiac Signals. IEEE Trans. Biomed. Eng. Zeeshan Syed, Daniel Leeds, Daniel Curtis, Francesca Nesta, Robert A. Levine, John V. Guttag
2007	J	`jnl`	Clustering and Symbolic Analysis of Cardiovascular Signals: Discovery and Visualization of Medically Relevant Patterns in Long-Term Data Using Limited Prior Knowledge. EURASIP J. Adv. Signal Process. Zeeshan Syed, John V. Guttag, Collin M. Stultz
2007	—	`conf`	Prototypical Biological Signals. ICASSP (1) Zeeshan Syed, John V. Guttag
2006	B	`conf`	Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders. CBMS Zeeshan Syed, Daniel Leeds, Dorothy Curtis, John V. Guttag
2006	—	`conf`	Reducing the Number of Channels for an Ambulatory Patient-Specific EEG-based Epileptic Seizure Detector by Applying Recursive Feature Elimination. EMBC Elena L. Glassman, John V. Guttag
2006	—	`conf`	Software Enhanced Learning of Cardiac Auscultation. EMBC Zeeshan Syed, Dorothy Curtis, John V. Guttag, Francesca Nesta, Robert A. Levine
2006	A*	`conf`	Tavarua: video streaming with WWAN striping. ACM Multimedia Asfandyar Qureshi, Jennifer N. Carlisle, John V. Guttag
2005	Misc	`conf`	Demonstration of SMART (Scalable Medical Alert Response Technology). AMIA Jason Waterman, Dorothy Curtis, Michel Goraczko, Eugene Shih, Pankaj Sarin, Esteban J. Pino, Lucila Ohno-Machado, Robert A. Greenes, John V. Guttag, Thomas O. Stair
2005	A	`conf`	Horde: separating network striping policy from mechanism. MobiSys Asfandyar Qureshi, John V. Guttag
2005	A*	`conf`	The 802.11 MAC protocol leads to inefficient equilibria. INFOCOM Godfrey Tan, John V. Guttag
2004	Misc	`conf`	Continuous medical monitoring using wireless microsensors. SenSys Eugene Shih, Vladimir Bychkovsky, Dorothy Curtis, John V. Guttag
2004	—	`conf`	Long-term time-share guarantees are necessary for wireless LANs. ACM SIGOPS European Workshop Godfrey Tan, John V. Guttag
2004	—	`conf`	Time-based Fairness Improves Performance in Multi-Rate WLANs. USENIX ATC, General Track Godfrey Tan, John V. Guttag
2003	—	`conf`	Role Classification of Hosts Within Enterprise Networks Based on Connection Patterns. USENIX ATC, General Track Godfrey Tan, Massimiliano Poletto, John V. Guttag, M. Frans Kaashoek
2002	B	`conf`	A Locally Coordinated Scatternet Scheduling Algorithm. LCN Godfrey Tan, John V. Guttag
2002	—	`ch.`	Abstract Data Types and the Development of Data Structures (Reprint). Software Pioneers John V. Guttag
2002	—	`ch.`	Abstract Data Types, Then and Now. Software Pioneers John V. Guttag
2001	—	`book`	Program Development in Java - Abstraction, Specification, and Object-Oriented Design. Barbara Liskov, John V. Guttag
1999	J	`jnl`	ANTS: Network Services Without the Red Tape. Computer David Wetherall, John V. Guttag, David L. Tennenhouse
1999	A*	`conf`	Next Century Challenges: RadioActive Networks. MobiCom Vanu G. Bose, David Wetherall, John V. Guttag
1999	J	`jnl`	Virtual radios. IEEE J. Sel. Areas Commun. Vanu G. Bose, Michael Ismert, Matt Welborn, John V. Guttag
1998	A*	`conf`	Improving the Performance of Distributed Applications Using Active Networks. INFOCOM Ulana Legedza, David Wetherall, John V. Guttag
1998	J	`jnl`	Introducing new Internet services: why and how. IEEE Netw. David Wetherall, D. Legedza, John V. Guttag
1998	J	`jnl`	Using Network-Level Support to Improve Cache Routing. Comput. Networks Ulana Legedza, John V. Guttag
1995	A	`conf`	Modular Reasoning in the Presence of Subclassing. OOPSLA Raymie Stata, John V. Guttag
1994	—	`conf`	LCLint: A Tool for Using Specifications to Check Code. SIGSOFT FSE David E. Evans, John V. Guttag, James J. Horning, Yang Meng Tan
1994	—	`conf`	Memory Assignment for Multiprocessor Caches through Grey Coloring. PARLE Anant Agarwal, John V. Guttag, Christoforos N. Hadjicostis, Marios C. Papaefthymiou
1994	—	`conf`	Using Specialized Procedures and Specification-Based Analysis to Reduce the Runtime Costs of Modularity. SIGSOFT FSE Mark T. Vandevoorde, John V. Guttag
1993	—	`conf`	An Overview of Larch. Functional Programming, Concurrency, Simulation and Automated Reasoning Stephen J. Garland, John V. Guttag, James J. Horning
1993	A*	`conf`	Computer-Assisted Simulation Proofs. CAV Jørgen F. Søgaard-Andersen, Stephen J. Garland, John V. Guttag, Nancy A. Lynch, Anna Pogosyants
1993	—	`conf`	Goldilocks and the Three Specifications. TAPSOFT John V. Guttag
1993	—	`book`	Larch: Languages and Tools for Formal Specification John V. Guttag, James J. Horning, Stephen J. Garland, Kevin D. Jones, A. Modet, Jeannette M. Wing
1993	J	`jnl`	Using Transformations and Verification in Circuit Design. Formal Methods Syst. Des. James B. Saxe, James J. Horning, John V. Guttag, Stephen J. Garland
1992	—	`conf`	Mechanized Verification of Circuit Descriptions Using the Larch Prover. TPCD Jørgen Staunstrup, Stephen J. Garland, John V. Guttag
1992	—	`conf`	Using Transformations and Verification in Circuit Design. Larch James B. Saxe, John V. Guttag, James J. Horning, Stephen J. Garland
1992	—	`conf`	Using Transformations and Verification in Ciruit Design. Designing Correct Circuits James B. Saxe, Stephen J. Garland, John V. Guttag, James J. Horning
1991	—	`conf`	A Tutorial on LARCH and LCL, A LARCH/C Interface Language. VDM Europe (2) John V. Guttag, James J. Horning
1991	—	`conf`	The Larch Approach to Specification (Abstract). VDM Europe (1) John V. Guttag
1990	J	`jnl`	Debugging Larch Shared Language Specifications. IEEE Trans. Software Eng. Stephen J. Garland, John V. Guttag, James J. Horning
1990	—	`conf`	Using LP to Debug Specifications. Programming Concepts and Methods Stephen J. Garland, John V. Guttag
1989	—	`conf`	An Overview of LP, The Larch Power. RTA Stephen J. Garland, John V. Guttag
1989	—	`conf`	Localized Verification of Circuit Descriptions. Automatic Verification Methods for Finite State Systems Jørgen Staunstrup, Stephen J. Garland, John V. Guttag
1988	A*	`conf`	Inductive Methods for Reasoning about Abstract Data Types. POPL Stephen J. Garland, John V. Guttag
1988	A	`conf`	LP: The Larch Prover. CADE Stephen J. Garland, John V. Guttag
1987	A*	`conf`	Synchronization Primitives for a Multiprocessor: A Formal Specification. SOSP Andrew Birrell, John V. Guttag, James J. Horning, Roy Levin
1986	J	`jnl`	A Larch Shared Language Handbook. Sci. Comput. Program. John V. Guttag, James J. Horning
1986	J	`jnl`	Abstracts in software engineering. ACM SIGSOFT Softw. Eng. Notes John V. Guttag, James J. Horning, Jeannette M. Wing
1986	J	`jnl`	Report on the Larch Shared Language. Sci. Comput. Program. John V. Guttag, James J. Horning
1985	J	`jnl`	The Larch Family of Specification Languages. IEEE Softw. John V. Guttag, James J. Horning, Jeannette M. Wing
1983	—	`conf`	An Introduction to the Larch Shared Language. IFIP Congress John V. Guttag, James J. Horning
1983	J	`jnl`	On Proving Uniform Termination and Restricted Termination of Rewriting Systems. SIAM J. Comput. John V. Guttag, Deepak Kapur, David R. Musser
1982	A*	`conf`	Derived Pairs, Overlap Closures, and Rewrite Dominoes: New Tools for Analyzing Term rewriting Systems. ICALP John V. Guttag, Deepak Kapur, David R. Musser
1982	J	`jnl`	Some Notes on Putting Formal Specifications to Productive Use. Sci. Comput. Program. John V. Guttag, James J. Horning, Jeannette M. Wing
1981	—	`conf`	A few Remarks on Putting Formal Specifications to Productive Use. Program Specification John V. Guttag
1981	—	`conf`	FP with data abstraction and strong typing. FPCA John V. Guttag, James J. Horning, John Williams
1980	A*	`conf`	Formal Specification as a Design Tool. POPL John V. Guttag, James J. Horning
1980	J	`jnl`	Notes on Type Abstraction (Version 2). IEEE Trans. Software Eng. John V. Guttag
1978	J	`jnl`	Abstract Data Types and Software Validation. Commun. ACM John V. Guttag, Ellis Horowitz, David R. Musser
1978	—	`conf`	Notes on Type Abstraction. Program Construction John V. Guttag
1978	—	`conf`	Proof Rules for the Programming Language Euclid. Program Construction Ralph L. London, John V. Guttag, James J. Horning, Butler W. Lampson, James G. Mitchell, Gerald J. Popek
1978	J	`jnl`	Proof Rules for the Programming Language Euclid. Acta Informatica Ralph L. London, John V. Guttag, James J. Horning, Butler W. Lampson, James G. Mitchell, Gerald J. Popek
1978	J	`jnl`	The Algebraic Specification of Abstract Data Types. Acta Informatica John V. Guttag, James J. Horning
1977	—	`conf`	A Proof Rule for Euclid Procedures. Formal Description of Programming Concepts John V. Guttag, James J. Horning, Ralph L. London
1977	J	`jnl`	Abstract Data Type and the Development of Data Structures. Commun. ACM John V. Guttag
1977	—	`conf`	Some Extensions to Algebraic Specifications. Language Design for Reliable Software John V. Guttag, Ellis Horowitz, David R. Musser
1976	—	`conf`	Abstract Data Types and the Development of Data Structures. Conference on Data: Abstraction, Definition and Structure John V. Guttag
1976	A*	`conf`	The Design of Data Type Specifications. ICSE John V. Guttag, Ellis Horowitz, David R. Musser