Search Results for author: Misha Pavel

Found 3 papers, 1 papers with code

A Unified Dynamic Model for the Decomposition of Skin Conductance and the Inference of Sudomotor Nerve Activities

1 code implementation5 Nov 2023 Hui Sophie Wang, Stacy Marsella, Misha Pavel

A key physiological signal in this endeavor is electrodermal activity (EDA), often quantified as skin conductance (SC), known for its sensitivity to a variety of psychological stimuli.

BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data

no code implementations12 Sep 2022 Karine Tung, Steven De La Torre, Mohamed El Mistiri, Rebecca Braga De Braganca, Eric Hekler, Misha Pavel, Daniel Rivera, Pedja Klasnja, Donna Spruijt-Metz, Benjamin M. Marlin

In this paper we present BayesLDM, a system for Bayesian longitudinal data modeling consisting of a high-level modeling language with specific features for modeling complex multivariate time series data coupled with a compiler that can produce optimized probabilistic program code for performing inference in the specified model.

Bayesian Inference Time Series +1

Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree

no code implementations NeurIPS 2008 Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie Luo, Holly Jimison, Frank Ohl, Misha Pavel

We define a formal framework for the representation and processing of incongruent events: starting from the notion of label hierarchy, we show how partial order on labels can be deduced from such hierarchies.

Novelty Detection Object Recognition +2

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