Samantha Kleinberg

52 papers A* 6A 1B 10Misc 6Journal 14Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Benchmarking Missing Data Imputation Methods for Time Series Using Real-World Test Cases. CHIL Adedolapo Aishat Toye, Asuman Celik, Samantha Kleinberg
2025	B	`conf`	Causal and Counterfactual Reasoning about Gradual and Abrupt Events. CogSci Vanessa Cheung, Cristina Leone, Samantha Kleinberg, David A. Lagnado
2025	J	`jnl`	Causal inference for time series datasets with partially overlapping variables. J. Biomed. Informatics Louis Adedapo Gomez, Jan Claassen, Samantha Kleinberg
2025	B	`conf`	Go Big or Go Hoax: Explanatory Scope and the Believability of Conspiracy Theories. CogSci Jessecae K. Marsh, Samantha Kleinberg
2025	J	`jnl`	Personalized Blood Glucose Forecasting From Limited CGM Data Using Incrementally Retrained LSTM. IEEE Trans. Biomed. Eng. Yiheng Shen, Samantha Kleinberg
2025	B	`conf`	Understanding the Impact of Metacognitive Ability on Decision-Making with Causal Diagrams. CogSci Elena Korshakova, Samantha Kleinberg
2025	J	`jnl`	Where the Women Are: Gender Imbalance in Computing and Faculty Perceptions of Theoretical and Applied Research. IEEE Access Samantha Kleinberg, Jessecae K. Marsh
2024	—	`conf`	Simulation of Health Time Series with Nonstationarity. CHIL Adedolapo Aishat Toye, Louis Adedapo Gomez, Samantha Kleinberg
2023	J	`jnl`	Causal Discovery with Stage Variables for Health Time Series. CoRR Bharat Srikishan, Samantha Kleinberg
2023	B	`conf`	How Beliefs Influence Perceptions of Choices. CogSci Samantha Kleinberg, Elena Korshakova, Jessecae K. Marsh
2023	B	`conf`	Quantifying the Utility of Complexity and Feedback Loops in Causal Models for Decision Making. CogSci Elena Korshakova, Jessecae K. Marsh, Samantha Kleinberg
2022	B	`conf`	Absence Makes the Trust in Causal Models Grow Stronger. CogSci Samantha Kleinberg, Eren Alay, Jessecae K. Marsh
2022	B	`conf`	The Compelling Complexity of Conspiracy Theories. CogSci Jessecae K. Marsh, Cayse Coachys, Samantha Kleinberg
2021	A*	`conf`	Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. IJCAI Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
2021	J	`jnl`	Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. CoRR Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
2021	—	`conf`	Detecting Granular Eating Behaviors From Body-worn Audio and Motion Sensors. BHI Mark Mirtchouk, Samantha Kleinberg
2021	—	`conf`	Hierarchical Information Criterion for Variable Abstraction. MLHC Mark Mirtchouk, Bharat Srikishan, Samantha Kleinberg
2021	B	`conf`	It's Complicated: Improving Decisions on Causally Complex Topics. CogSci Samantha Kleinberg, Jessecae K. Marsh
2020	—	`conf`	Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data. MLHC Hadia Hameed, Samantha Kleinberg
2020	—	`conf`	Investigating Potentials and Pitfalls of Knowledge Distillation Across Datasets for Blood Glucose Forecasting. KDH@ECAI Hadia Hameed, Samantha Kleinberg
2020	B	`conf`	Tell me something I don't know: How perceived knowledge influences the use of information during decision making. CogSci Samantha Kleinberg, Jessecae K. Marsh
2019	—	`conf`	Automated Estimation of Food Type from Body-worn Audio and Motion Sensors in Free-Living Environments. MLHC Mark Mirtchouk, Dana L. McGuire, Andrea L. Deierlein, Samantha Kleinberg
2019	J	`jnl`	Automated meal detection from continuous glucose monitor data through simulation and explanation. J. Am. Medical Informatics Assoc. Min Zheng, Baohua Ni, Samantha Kleinberg
2019	J	`jnl`	Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series. CoRR Zahra Ebrahimzadeh, Min Zheng, Selcuk Karakas, Samantha Kleinberg
2019	Misc	`conf`	Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients. AMIA Tahsin T. Yavuz, Jan Claassen, Samantha Kleinberg
2019	—	`ed.`	Proceedings 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology, CREST@ETAPS 2018, Thessaloniki, Greece, 21st April 2018. CREST Bernd Finkbeiner, Samantha Kleinberg
2019	B	`conf`	The Role of Causal Information and Perceived Knowledge in Decision-Making. CogSci Min Zheng, Jessecae K. Marsh, Samantha Kleinberg
2019	—	`conf`	Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series. MLHC Min Zheng, Samantha Kleinberg
2018	—	`conf`	Automated Identification of Causal Moderators in Time-Series Data. CD@KDD Min Zheng, Jan Claassen, Samantha Kleinberg
2017	Misc	`conf`	A Method for Automating Token Causal Explanation and Discovery. FLAIRS Min Zheng, Samantha Kleinberg
2017	J	`jnl`	Recognizing Eating from Body-Worn Sensors: Combining Free-living and Laboratory Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Mark Mirtchouk, Drew Lustig, Alexandra Smith, Ivan Ching, Min Zheng, Samantha Kleinberg
2017	Misc	`conf`	Replicability, Reproducibility, and Agent-based Simulation of Interventions. AMIA R. Stanley Hum, Samantha Kleinberg
2016	Misc	`conf`	Automated estimation of food type and amount consumed from body-worn audio and motion sensors. UbiComp Mark Mirtchouk, Christopher A. Merck, Samantha Kleinberg
2016	A*	`conf`	Causal Explanation Under Indeterminism: A Sampling Approach. AAAI Christopher A. Merck, Samantha Kleinberg
2016	—	`conf`	Multimodality sensing for eating recognition. PervasiveHealth Christopher A. Merck, Christina Maher, Mark Mirtchouk, Min Zheng, Yuxiao Huang, Samantha Kleinberg
2016	J	`jnl`	Using uncertain data from body-worn sensors to gain insight into type 1 diabetes. J. Biomed. Informatics Nathaniel Heintzman, Samantha Kleinberg
2015	J	`jnl`	Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data. J. Biomed. Informatics Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Nathaniel Heintzman, Samantha Kleinberg
2015	Misc	`conf`	Fast and Accurate Causal Inference from Time Series Data. FLAIRS Yuxiao Huang, Samantha Kleinberg
2015	—	`conf`	Unintrusive eating recognition using Google Glass. PervasiveHealth Shah Atiqur Rahman, Christopher A. Merck, Yuxiao Huang, Samantha Kleinberg
2014	—	`conf`	Imputation of Missing Values in Time Series with Lagged Correlations. ICDM Workshops Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Samantha Kleinberg
2013	A*	`conf`	Causal Inference with Rare Events in Large-Scale Time-Series Data. IJCAI Samantha Kleinberg
2013	Misc	`conf`	Lessons Learned in Replicating Data-Driven Experiments in Multiple Medical Systems and Patient Populations. AMIA Samantha Kleinberg, Noemie Elhadad
2012	J	`jnl`	The Temporal Logic of Causal Structures CoRR Samantha Kleinberg, Bud Mishra
2011	A*	`conf`	A Logic for Causal Inference in Time Series with Discrete and Continuous Variables. IJCAI Samantha Kleinberg
2011	J	`jnl`	A review of causal inference for biomedical informatics. J. Biomed. Informatics Samantha Kleinberg, George Hripcsak
2010	—	`—`	An Algorithmic Enquiry Concerning Causality. Samantha Kleinberg
2010	J	`jnl`	Predicting malaria interactome classifications from time-course transcriptomic data along the intraerythrocytic developmental cycle. Artif. Intell. Medicine Antonina Mitrofanova, Samantha Kleinberg, Jane Carlton, Simon Kasif, Bud Mishra
2010	A*	`conf`	The Temporal Logic of Token Causes. KR Samantha Kleinberg, Bud Mishra
2009	J	`jnl`	Metamorphosis: the Coming Transformation of Translational Systems Biology. ACM Queue Samantha Kleinberg, Bud Mishra
2009	A	`conf`	The Temporal Logic of Causal Structures. UAI Samantha Kleinberg, Bud Mishra
2008	A*	`conf`	Psst: a web-based system for tracking political statements. WWW Samantha Kleinberg, Bud Mishra
2008	—	`conf`	Systems Biology via Redescription and Ontologies (III): Protein Classification Using Malaria Parasite's Temporal Transcriptomic Profiles. BIBM Antonina Mitrofanova, Samantha Kleinberg, Jane Carlton, Simon Kasif, Bud Mishra