Research output per year
Research output per year
Search results
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2021
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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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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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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2019
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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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