Majerle Reeves
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View article: Measuring Acoustic Social Worlds: Reflections on a Study of Multi-Agent Human Interaction
Measuring Acoustic Social Worlds: Reflections on a Study of Multi-Agent Human Interaction Open
When individuals are sharing similar behavioral, physiological, or neural states—that is, when individuals’ actions, body states, or brain activity are changing together in time—then a collective interpersonal synergy forms (Riley et al., …
View article: Recurrence Quantification Analysis of Crowd Sound Dynamics
Recurrence Quantification Analysis of Crowd Sound Dynamics Open
When multiple individuals interact in a conversation or as part of a large crowd, emergent structures and dynamics arise that are behavioral properties of the interacting group rather than of any individual member of that group. Recent wor…
View article: Neural Continuous-Time Markov Models
Neural Continuous-Time Markov Models Open
Continuous-time Markov chains are used to model stochastic systems where transitions can occur at irregular times, e.g., birth-death processes, chemical reaction networks, population dynamics, and gene regulatory networks. We develop a met…
View article: Resampling to address inequities in predictive modeling of suicide deaths
Resampling to address inequities in predictive modeling of suicide deaths Open
Objective Improve methodology for equitable suicide death prediction when using sensitive predictors, such as race/ethnicity, for machine learning and statistical methods. Methods Train predictive models, logistic regression, naive Bayes, …
View article: Coordination dynamics of multi-agent interaction in a musical ensemble
Coordination dynamics of multi-agent interaction in a musical ensemble Open
Humans interact with other humans at a variety of timescales and in a variety of social contexts. We exhibit patterns of coordination that may differ depending on whether we are genuinely interacting as part of a coordinated group of indiv…
View article: Equity-Directed Bootstrapping: Examples and Analysis
Equity-Directed Bootstrapping: Examples and Analysis Open
When faced with severely imbalanced binary classification problems, we often train models on bootstrapped data in which the number of instances of each class occur in a more favorable ratio, e.g., one. We view algorithmic inequity through …
View article: Coordination Dynamics of Multi-Agent Human Interaction
Coordination Dynamics of Multi-Agent Human Interaction Open
Humans interact with other humans at a variety of timescales and in a variety of social contexts. We exhibit patterns of coordination that may differ depending on whether we are genuinely interacting as part of a coordinated group of indiv…
View article: Estimating Vector Fields from Noisy Time Series
Estimating Vector Fields from Noisy Time Series Open
While there has been a surge of recent interest in learning differential equation models from time series, methods in this area typically cannot cope with highly noisy data. We break this problem into two parts: (i) approximating the unkno…