Samantha Kleinberg

Affiliations:
  • Stevens Institute of Technology, NJ, USA


According to our database1, Samantha Kleinberg authored at least 36 papers between 2008 and 2023.

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Bibliography

2023
Causal Discovery with Stage Variables for Health Time Series.
CoRR, 2023

2021
Hierarchical Information Criterion for Variable Abstraction.
Proceedings of the Machine Learning for Healthcare Conference, 2021

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Detecting Granular Eating Behaviors From Body-worn Audio and Motion Sensors.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data.
Proceedings of the Machine Learning for Healthcare Conference, 2020

Investigating Potentials and Pitfalls of Knowledge Distillation Across Datasets for Blood Glucose Forecasting.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

Tell me something I don't know: How perceived knowledge influences the use of information during decision making.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Automated meal detection from continuous glucose monitor data through simulation and explanation.
J. Am. Medical Informatics Assoc., 2019

Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series.
CoRR, 2019

Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series.
Proceedings of the Machine Learning for Healthcare Conference, 2019

Automated Estimation of Food Type from Body-worn Audio and Motion Sensors in Free-Living Environments.
Proceedings of the Machine Learning for Healthcare Conference, 2019

The Role of Causal Information and Perceived Knowledge in Decision-Making.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients.
Proceedings of the AMIA 2019, 2019

2018
Automated Identification of Causal Moderators in Time-Series Data.
Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, 2018

2017
Recognizing Eating from Body-Worn Sensors: Combining Free-living and Laboratory Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

A Method for Automating Token Causal Explanation and Discovery.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Replicability, Reproducibility, and Agent-based Simulation of Interventions.
Proceedings of the AMIA 2017, 2017

2016
Using uncertain data from body-worn sensors to gain insight into type 1 diabetes.
J. Biomed. Informatics, 2016

Multimodality sensing for eating recognition.
Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

Automated estimation of food type and amount consumed from body-worn audio and motion sensors.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Causal Explanation Under Indeterminism: A Sampling Approach.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data.
J. Biomed. Informatics, 2015

Unintrusive eating recognition using Google Glass.
Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, 2015

Fast and Accurate Causal Inference from Time Series Data.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014
Imputation of Missing Values in Time Series with Lagged Correlations.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Causal Inference with Rare Events in Large-Scale Time-Series Data.
Proceedings of the IJCAI 2013, 2013

Lessons Learned in Replicating Data-Driven Experiments in Multiple Medical Systems and Patient Populations.
Proceedings of the AMIA 2013, 2013

2011
A review of causal inference for biomedical informatics.
J. Biomed. Informatics, 2011

A Logic for Causal Inference in Time Series with Discrete and Continuous Variables.
Proceedings of the IJCAI 2011, 2011

2010
An Algorithmic Enquiry Concerning Causality.
PhD thesis, 2010

Predicting malaria interactome classifications from time-course transcriptomic data along the intraerythrocytic developmental cycle.
Artif. Intell. Medicine, 2010

The Temporal Logic of Token Causes.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Twelfth International Conference, 2010

2009
Metamorphosis: the Coming Transformation of Translational Systems Biology.
ACM Queue, 2009

The Temporal Logic of Causal Structures.
Proceedings of the UAI 2009, 2009

2008
Psst: a web-based system for tracking political statements.
Proceedings of the 17th International Conference on World Wide Web, 2008

Systems Biology via Redescription and Ontologies (III): Protein Classification Using Malaria Parasite's Temporal Transcriptomic Profiles.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008


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