Research output per year
Research output per year
- 1 - 50 out of 53 results
Search results
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2024
Objective Determination of Eating Occasion Timing: Combining Self-Report, Wrist Motion, and Continuous Glucose Monitoring to Detect Eating Occasions in Adults With Prediabetes and Obesity
Popp, C. J., Wang, C., Hoover, A., Gomez, L. A., Curran, M., St-Jules, D. E., Barua, S., Sevick, M. A. & Kleinberg, S., Mar 2024, In: Journal of diabetes science and technology. 18, 2, p. 266-272 7 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
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2023
Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes
Huang, J., Yeung, A. M., Armstrong, D. G., Battarbee, A. N., Cuadros, J., Espinoza, J. C., Kleinberg, S., Mathioudakis, N., Swerdlow, M. A. & Klonoff, D. C., Jan 2023, In: Journal of diabetes science and technology. 17, 1, p. 224-238 15 p.Stevens Institute of Technology
Research output: Contribution to journal › Comment/debate
Open Access -
Classification of Level of Consciousness in a Neurological ICU Using Physiological Data
Gomez, L. A., Shen, Q., Doyle, K., Vrosgou, A., Velazquez, A., Megjhani, M., Ghoshal, S., Roh, D., Agarwal, S., Park, S., Claassen, J. & Kleinberg, S., Feb 2023, In: Neurocritical Care. 38, 1, p. 118-128 11 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Less is more: information needs, information wants, and what makes causal models useful
Kleinberg, S. & Marsh, J. K., Dec 2023, In: Cognitive Research: Principles and Implications. 8, 1, 57.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Simulating Realistic Continuous Glucose Monitor Time Series By Data Augmentation
Gomez, L. A., Toye, A. A., Hum, R. S. & Kleinberg, S., 2023, (Accepted/In press) In: Journal of diabetes science and technology.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
2022
Absence Makes the Trust in Causal Models Grow Stronger
Kleinberg, S., Alay, E. & Marsh, J. K., 2022, p. 2037-2043. 7 p.Stevens Institute of Technology
Research output: Contribution to conference › Paper › peer-review
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Health Information Sourcing and Health Knowledge Quality: Repeated Cross-sectional Survey
Korshakova, E., Marsh, J. K. & Kleinberg, S., Sep 1 2022, In: JMIR Formative Research. 6, 9, e39274.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Machine learning modeling practices to support the principles of AI and ethics in nutrition research
Thomas, D. M., Kleinberg, S., Brown, A. W., Crow, M., Bastian, N. D., Reisweber, N., Lasater, R., Kendall, T., Shafto, P., Blaine, R., Smith, S., Ruiz, D., Morrell, C. & Clark, N., Dec 2022, In: Nutrition and Diabetes. 12, 1, 48.Rutgers, The State University, Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
The Compelling Complexity of Conspiracy Theories
Marsh, J. K., Coachys, C. N. & Kleinberg, S., 2022, p. 2185-2192. 8 p.Stevens Institute of Technology
Research output: Contribution to conference › Paper › peer-review
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Using Momentary Assessment and Machine Learning to Identify Barriers to Self-management in Type 1 Diabetes: Observational Study
Zhang, P., Fonnesbeck, C., Schmidt, D. C., White, J., Kleinberg, S. & Mulvaney, S. A., Feb 2022, In: JMIR mHealth and uHealth. 10, 3, e21959.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
2021
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
Lu, C., Reddy, C. K., Chakraborty, P., Kleinberg, S. & Ning, Y., 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 3529-3535 7 p. (IJCAI International Joint Conference on Artificial Intelligence).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Detecting Granular Eating Behaviors from Body-worn Audio and Motion Sensors
Mirtchouk, M. & Kleinberg, S., 2021, BHI 2021 - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., (BHI 2021 - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics, Proceedings).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Hierarchical Information Criterion for Variable Abstraction
Mirtchouk, M., Srikishan, B. & Kleinberg, S., 2021, In: Proceedings of Machine Learning Research. 149, p. 440-460 21 p.Stevens Institute of Technology
Research output: Contribution to journal › Conference article › peer-review
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It’s Complicated: Improving Decisions on Causally Complex Topics
Kleinberg, S. & Marsh, J. K., 2021, p. 2437-2443. 7 p.Stevens Institute of Technology
Research output: Contribution to conference › Paper › peer-review
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2020
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data
Hameed, H. & Kleinberg, S., 2020, In: Proceedings of Machine Learning Research. 126, p. 871-894 24 p.Stevens Institute of Technology
Research output: Contribution to journal › Conference article › peer-review
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How causal information affects decisions
Zheng, M., Marsh, J. K., Nickerson, J. V. & Kleinberg, S., Dec 1 2020, In: Cognitive Research: Principles and Implications. 5, 1, 6.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Investigating potentials and pitfalls of knowledge distillation across datasets for blood glucose forecasting
Hameed, H. & Kleinberg, S., 2020, In: CEUR Workshop Proceedings. 2675, p. 85-89 5 p.Stevens Institute of Technology
Research output: Contribution to journal › Conference article › peer-review
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On the use and abuse of Hill’s viewpoints on causality
Kleinberg, S., 2020, In: Observational Studies. 6, 2, p. 17-19 3 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Tell me something I don't know: How perceived knowledge influences the use of information during decision making
Kleinberg, S. & Marsh, J. K., 2020, p. 1849-1855. 7 p.Stevens Institute of Technology
Research output: Contribution to conference › Paper › peer-review
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2019
An introduction to time and causality
Kleinberg, S., Sep 24 2019, Time and Causality across the Sciences. Cambridge University Press, p. 1-13 13 p.Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Automated Estimation of Food Type from Body-worn Audio and Motion Sensors in Free-Living Environments
Mirtchouk, M., McGuire, D. L., Deierlein, A. L. & Kleinberg, S., 2019, In: Proceedings of Machine Learning Research. 106, p. 641-662 22 p.Stevens Institute of Technology
Research output: Contribution to journal › Conference article › peer-review
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Automated meal detection from continuous glucose monitor data through simulation and explanation
Zheng, M., Ni, B. & Kleinberg, S., Nov 15 2019, In: Journal of the American Medical Informatics Association. 26, 12, p. 1592-1599 8 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients
Yavuz, T. T., Claassen, J. & Kleinberg, S., 2019, In: AMIA ... Annual Symposium proceedings. AMIA Symposium. 2019, p. 942-951 10 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
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Preface
Finkbeiner, B. & Kleinberg, S., Jan 3 2019, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 286Stevens Institute of Technology
Research output: Contribution to journal › Editorial
Open Access -
Time and causality across the sciences
Kleinberg, S., Sep 24 2019, Cambridge University Press. 262 p.Stevens Institute of Technology
Research output: Book/Report › Book › peer-review
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Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series
Zheng, M. & Kleinberg, S., 2019, In: Proceedings of Machine Learning Research. 106, p. 474-489 16 p.Stevens Institute of Technology
Research output: Contribution to journal › Conference article › peer-review
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2018
Automated Identification of Causal Moderators in Time-Series Data
Zheng, M., Claassen, J. & Kleinberg, S., 2018, In: Proceedings of Machine Learning Research. 92, p. 4-22 19 p.Stevens Institute of Technology
Research output: Contribution to journal › Conference article › peer-review
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2017
A method for automating token causal explanation and discovery
Zheng, M. & Kleinberg, S., 2017, FLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. Rus, V. & Markov, Z. (eds.). AAAI press, p. 176-181 6 p. (FLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Replicability, Reproducibility, and Agent-based Simulation of Interventions
Hum, R. S. & Kleinberg, S., 2017, In: AMIA ... Annual Symposium proceedings. AMIA Symposium. 2017, p. 959-968 10 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
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2016
Automated estimation of food type and amount consumed from body-worn audio and motion sensors
Mirtchouk, M., Merck, C. & Kleinberg, S., Sep 12 2016, UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, p. 451-462 12 p. (UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Causal explanation under indeterminism: A sampling approach
Merck, C. A. & Kleinberg, S., 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI press, p. 1037-1043 7 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Causal structure of brain physiology after brain injury from subarachnoid hemorrhage
Claassen, J., Rahman, S. A., Huang, Y., Frey, H. P., Schmidt, J. M., Albers, D., Falo, C. M., Park, S., Agarwal, S., Connolly, E. S. & Kleinberg, S., Apr 2016, In: PLoS One. 11, 4, e0149878.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Multimodality sensing for eating recognition
Merck, C., Maher, C., Mirtchouk, M., Zheng, M., Huang, Y. & Kleinberg, S., Jun 16 2016, PervasiveHealth 2016 - 10th EAI International Conference on Pervasive Computing Technologies for Healthcare. Favela, J., Matic, A., Fitzpatrick, G., Weibel, N. & Hoey, J. (eds.). ICST Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, (PervasiveHealth: Pervasive Computing Technologies for Healthcare; vol. 2016-May).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Using uncertain data from body-worn sensors to gain insight into type 1 diabetes
Heintzman, N. & Kleinberg, S., Oct 1 2016, In: Journal of Biomedical Informatics. 63, p. 259-268 10 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
2015
Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data
Rahman, S. A., Huang, Y., Claassen, J., Heintzman, N. & Kleinberg, S., Dec 1 2015, In: Journal of Biomedical Informatics. 58, p. 198-207 10 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Fast and accurate causal inference from time series data
Huang, Y. & Kleinberg, S., 2015, Proceedings of the 28th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2015. Eberle, W. & Russell, I. (eds.). AAAI press, p. 49-54 6 p. (Proceedings of the 28th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2015).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Imputation of missing values in time series with lagged correlations
Rahman, S. A., Huang, Y., Claassen, J. & Kleinberg, S., Jan 26 2015, Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014. Zhou, Z-H., Wang, W., Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). January ed. IEEE Computer Society, p. 753-762 10 p. 7022671. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2015-January, no. January).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Unintrusive eating recognition using Google Glass
Rahman, S. A., Merck, C., Huang, Y. & Kleinberg, S., Dec 8 2015, Proceedings of the 2015 9th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2015. Institute of Electrical and Electronics Engineers Inc., p. 108-111 4 p. 7349385. (Proceedings of the 2015 9th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2015).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
2013
Causal inference with rare events in large-scale time-series data
Kleinberg, S., 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1444-1450 7 p. (IJCAI International Joint Conference on Artificial Intelligence).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Lessons learned in replicating data-driven experiments in multiple medical systems and patient populations.
Kleinberg, S. & Elhadad, N., 2013, In: AMIA ... Annual Symposium proceedings. AMIA Symposium. 2013, p. 786-795 10 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
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Nonconvulsive seizures after subarachnoid hemorrhage: Multimodal detection and outcomes
Claassen, J., Perotte, A., Albers, D., Kleinberg, S., Schmidt, J. M., Tu, B., Badjatia, N., Lantigua, H., Hirsch, L. J., Mayer, S. A., Connolly, E. S. & Hripcsak, G., Jul 2013, In: Annals of Neurology. 74, 1, p. 53-64 12 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
Preface to the first IEEE ICDM workshop on causal discovery
Li, J., Zhang, K., Pei, J., Liu, L., Chan, L., Geng, Z., Hyvärinen, A., Hyttinen, A., Janzing, D., Kleinberg, S., Liu, Y., Lu, Z., Maathuis, M., Radboud, J. M., Shimizu, S., Silva, R., Sun, B., Tsamardinos, I. & Zhang, J., 2013, In: Proceedings - IEEE 13th International Conference on Data Mining Workshops, ICDMW 2013. p. xxiv-xxv 6753880.Stevens Institute of Technology
Research output: Contribution to journal › Editorial
Open Access -
2011
A logic for causal inference in time series with discrete and continuous variables
Kleinberg, S., 2011, IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence. p. 943-950 8 p. (IJCAI International Joint Conference on Artificial Intelligence).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A review of causal inference for biomedical informatics
Kleinberg, S. & Hripcsak, G., Dec 2011, In: Journal of Biomedical Informatics. 44, 6, p. 1102-1112 11 p.Stevens Institute of Technology
Research output: Contribution to journal › Review article › peer-review
Open Access -
Multiple testing of causal hypotheses
Kleinberg, S. & Mishra, B., Sep 22 2011, Causality in the Sciences. Oxford University PressStevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open Access -
2010
Predicting malaria interactome classifications from time-course transcriptomic data along the intraerythrocytic developmental cycle
Mitrofanova, A., Kleinberg, S., Carlton, J., Kasif, S. & Mishra, B., Jul 2010, In: Artificial Intelligence In Medicine. 49, 3, p. 167-176 10 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
9 Scopus citations -
The temporal logic of token causes
Kleinberg, S. & Mishra, B., 2010, Principles of Knowledge Representation and Reasoning: Proceedings of the 12th International Conference, KR 2010. Institute of Electrical and Electronics Engineers Inc., p. 575-577 3 p. (Proceedings of the International Conference on Knowledge Representation and Reasoning).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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2009
Causality, probability, and time
Kleinberg, S., Jan 1 2009, Cambridge University Press. 259 p.Stevens Institute of Technology
Research output: Book/Report › Book › peer-review
Open Access -
Metamorphosis: The Conning Transformation of Translational Systems Biology: In the future computers will mine patient data to deliver faster, cheaper healthcare, but how will we design them to give informative causal explanations? Ideas from philosophy, model checking, and statistical testing can pave the way for the needed translational systems biology
Kleinberg, S. & Mishra, B., Oct 1 2009, In: Queue. 7, 9, p. 40-52 13 p.Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
The temporal logic of causal structures
Kleinberg, S. & Mishra, B., 2009, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009. AUAI Press, p. 303-312 10 p. (Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009).Stevens Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review