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Samantha Kleinberg
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- affiliation: Stevens Institute of Technology, NJ, USA
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2020 – today
- 2023
- [c31]Samantha Kleinberg, Elena Korshakova, Jessecae K. Marsh:
How Beliefs Influence Perceptions of Choices. CogSci 2023 - [c30]Elena Korshakova, Jessecae K. Marsh, Samantha Kleinberg:
Quantifying the Utility of Complexity and Feedback Loops in Causal Models for Decision Making. CogSci 2023 - [i4]Bharat Srikishan, Samantha Kleinberg:
Causal Discovery with Stage Variables for Health Time Series. CoRR abs/2305.03662 (2023) - 2022
- [c29]Samantha Kleinberg, Eren Alay, Jessecae K. Marsh:
Absence Makes the Trust in Causal Models Grow Stronger. CogSci 2022 - [c28]Jessecae K. Marsh, Cayse Coachys, Samantha Kleinberg:
The Compelling Complexity of Conspiracy Theories. CogSci 2022 - 2021
- [c27]Mark Mirtchouk, Samantha Kleinberg:
Detecting Granular Eating Behaviors From Body-worn Audio and Motion Sensors. BHI 2021: 1-4 - [c26]Samantha Kleinberg, Jessecae K. Marsh:
It's Complicated: Improving Decisions on Causally Complex Topics. CogSci 2021 - [c25]Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning:
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. IJCAI 2021: 3529-3535 - [c24]Mark Mirtchouk, Bharat Srikishan, Samantha Kleinberg:
Hierarchical Information Criterion for Variable Abstraction. MLHC 2021: 440-460 - [i3]Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning:
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. CoRR abs/2105.07542 (2021) - 2020
- [c23]Samantha Kleinberg, Jessecae K. Marsh:
Tell me something I don't know: How perceived knowledge influences the use of information during decision making. CogSci 2020 - [c22]Hadia Hameed, Samantha Kleinberg:
Investigating Potentials and Pitfalls of Knowledge Distillation Across Datasets for Blood Glucose Forecasting. KDH@ECAI 2020: 85-89 - [c21]Hadia Hameed, Samantha Kleinberg:
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data. MLHC 2020: 871-894
2010 – 2019
- 2019
- [j7]Min Zheng, Baohua Ni, Samantha Kleinberg:
Automated meal detection from continuous glucose monitor data through simulation and explanation. J. Am. Medical Informatics Assoc. 26(12): 1592-1599 (2019) - [c20]Tahsin T. Yavuz, Jan Claassen, Samantha Kleinberg:
Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients. AMIA 2019 - [c19]Min Zheng, Jessecae K. Marsh, Samantha Kleinberg:
The Role of Causal Information and Perceived Knowledge in Decision-Making. CogSci 2019: 3395 - [c18]Min Zheng, Samantha Kleinberg:
Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series. MLHC 2019: 474-489 - [c17]Mark Mirtchouk, Dana L. McGuire, Andrea L. Deierlein, Samantha Kleinberg:
Automated Estimation of Food Type from Body-worn Audio and Motion Sensors in Free-Living Environments. MLHC 2019: 641-662 - [e1]Bernd Finkbeiner, Samantha Kleinberg:
Proceedings 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology, CREST@ETAPS 2018, Thessaloniki, Greece, 21st April 2018. EPTCS 286, 2019 [contents] - [i2]Zahra Ebrahimzadeh, Min Zheng, Selcuk Karakas, Samantha Kleinberg:
Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series. CoRR abs/1905.06913 (2019) - 2018
- [c16]Min Zheng, Jan Claassen, Samantha Kleinberg:
Automated Identification of Causal Moderators in Time-Series Data. CD@KDD 2018: 4-22 - 2017
- [j6]Mark Mirtchouk, Drew Lustig, Alexandra Smith, Ivan Ching, Min Zheng, Samantha Kleinberg:
Recognizing Eating from Body-Worn Sensors: Combining Free-living and Laboratory Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 85:1-85:20 (2017) - [c15]R. Stanley Hum, Samantha Kleinberg:
Replicability, Reproducibility, and Agent-based Simulation of Interventions. AMIA 2017 - [c14]Min Zheng, Samantha Kleinberg:
A Method for Automating Token Causal Explanation and Discovery. FLAIRS 2017: 176-181 - 2016
- [j5]Nathaniel Heintzman, Samantha Kleinberg:
Using uncertain data from body-worn sensors to gain insight into type 1 diabetes. J. Biomed. Informatics 63: 259-268 (2016) - [c13]Christopher A. Merck, Samantha Kleinberg:
Causal Explanation Under Indeterminism: A Sampling Approach. AAAI 2016: 1037-1043 - [c12]Mark Mirtchouk, Christopher A. Merck, Samantha Kleinberg:
Automated estimation of food type and amount consumed from body-worn audio and motion sensors. UbiComp 2016: 451-462 - [c11]Christopher A. Merck, Christina Maher, Mark Mirtchouk, Min Zheng, Yuxiao Huang, Samantha Kleinberg:
Multimodality sensing for eating recognition. PervasiveHealth 2016: 130-137 - 2015
- [j4]Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Nathaniel Heintzman, Samantha Kleinberg:
Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data. J. Biomed. Informatics 58: 198-207 (2015) - [c10]Yuxiao Huang, Samantha Kleinberg:
Fast and Accurate Causal Inference from Time Series Data. FLAIRS 2015: 49-54 - [c9]Shah Atiqur Rahman, Christopher A. Merck, Yuxiao Huang, Samantha Kleinberg:
Unintrusive eating recognition using Google Glass. PervasiveHealth 2015: 108-111 - 2014
- [c8]Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Samantha Kleinberg:
Imputation of Missing Values in Time Series with Lagged Correlations. ICDM Workshops 2014: 753-762 - 2013
- [c7]Samantha Kleinberg, Noemie Elhadad:
Lessons Learned in Replicating Data-Driven Experiments in Multiple Medical Systems and Patient Populations. AMIA 2013 - [c6]Samantha Kleinberg:
Causal Inference with Rare Events in Large-Scale Time-Series Data. IJCAI 2013: 1444-1450 - 2012
- [i1]Samantha Kleinberg, Bud Mishra:
The Temporal Logic of Causal Structures. CoRR abs/1205.2634 (2012) - 2011
- [j3]Samantha Kleinberg, George Hripcsak:
A review of causal inference for biomedical informatics. J. Biomed. Informatics 44(6): 1102-1112 (2011) - [c5]Samantha Kleinberg:
A Logic for Causal Inference in Time Series with Discrete and Continuous Variables. IJCAI 2011: 943-950 - 2010
- [b1]Samantha Kleinberg:
An Algorithmic Enquiry Concerning Causality. New York University, USA, 2010 - [j2]Antonina Mitrofanova, Samantha Kleinberg, Jane Carlton, Simon Kasif, Bud Mishra:
Predicting malaria interactome classifications from time-course transcriptomic data along the intraerythrocytic developmental cycle. Artif. Intell. Medicine 49(3): 167-176 (2010) - [c4]Samantha Kleinberg, Bud Mishra:
The Temporal Logic of Token Causes. KR 2010
2000 – 2009
- 2009
- [j1]Samantha Kleinberg, Bud Mishra:
Metamorphosis: the Coming Transformation of Translational Systems Biology. ACM Queue 7(9): 40 (2009) - [c3]Samantha Kleinberg, Bud Mishra:
The Temporal Logic of Causal Structures. UAI 2009: 303-312 - 2008
- [c2]Antonina Mitrofanova, Samantha Kleinberg, Jane Carlton, Simon Kasif, Bud Mishra:
Systems Biology via Redescription and Ontologies (III): Protein Classification Using Malaria Parasite's Temporal Transcriptomic Profiles. BIBM 2008: 278-283 - [c1]Samantha Kleinberg, Bud Mishra:
Psst: a web-based system for tracking political statements. WWW 2008: 1143-1144
Coauthor Index
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