Search Results for author: Carolyn L. Talcott

Found 3 papers, 0 papers with code

Transcriptional Response of SK-N-AS Cells to Methamidophos

no code implementations11 Aug 2019 Akos Vertes, Albert-Baskar Arul, Peter Avar, Andrew R. Korte, Lida Parvin, Ziad J. Sahab, Deborah I. Bunin, Merrill Knapp, Denise Nishita, Andrew Poggio, Mark-Oliver Stehr, Carolyn L. Talcott, Brian M. Davis, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky

Transcriptomics response of SK-N-AS cells to methamidophos (an acetylcholine esterase inhibitor) exposure was measured at 10 time points between 0. 5 and 48 h. The data was analyzed using a combination of traditional statistical methods and novel machine learning algorithms for detecting anomalous behavior and infer causal relations between time profiles.

Anomaly Detection Causal Inference

Probabilistic Approximate Logic and its Implementation in the Logical Imagination Engine

no code implementations25 Jul 2019 Mark-Oliver Stehr, Minyoung Kim, Carolyn L. Talcott, Merrill Knapp, Akos Vertes

In spite of the rapidly increasing number of applications of machine learning in various domains, a principled and systematic approach to the incorporation of domain knowledge in the engineering process is still lacking and ad hoc solutions that are difficult to validate are still the norm in practice, which is of growing concern not only in mission-critical applications.

BIG-bench Machine Learning

Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data

no code implementations6 May 2019 Mark-Oliver Stehr, Peter Avar, Andrew R. Korte, Lida Parvin, Ziad J. Sahab, Deborah I. Bunin, Merrill Knapp, Denise Nishita, Andrew Poggio, Carolyn L. Talcott, Brian M. Davis, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky, Akos Vertes

Our algorithms make different but overall relatively few biological assumptions, so that they are applicable to other types of biological data and potentially even to other complex systems that exhibit high dimensionality but are not of biological nature.

Gaussian Processes Time Series +1

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