Faculty

Institution

Unit

Venue

Larry D Pyeatt

Associate Professor

South Dakota School of Mines and Technology

Affiliations

South Dakota School of Mines and Technology

Computer and Information Sciences

Department Of Computer Science And Engineering

Larry D Pyeatt is currently serving as a Computer And Information Sciences Associate Professor at South Dakota School of Mines And Technology.

Honors

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Experiences

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Education

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Larry D Pyeatt

South Dakota School of Mines and Technology

Associate Professor

You can click a keyword to filter the displayed items

computer science machine learning computer security systems biology information security reinforcement learning intrusion detection systems anesthesiology immunology artificial intelligence intelligent systems decision theory operations research anesthesia information forensics combinatorial optimization environmental fluid mechanics data security system immunology artificial systems artificial immune system immunological computing software security secure computing network security density estimation ddos detection threat detection model comparison intelligent decision making decision tree learning decision trees forecasting methodology predictive modeling monte carlo predictive learning adversarial machine learning closed-loop propofol anesthesia human volunteers network intrusion detection computer network security head-to-head games different data representations ensemble machine split decision flow field forecasting local regression adversarial watkins context-based prediction technology scientific computing artificial life multidisciplinary optimization applied mathematics neural network (machine learning) neural engineering computational science automation computational engineering computing education industrial informatics soft computing data science computer engineering field programmable gate array informatics natural computing engineering optimization system science computational neuroscience technological forecasting computational intelligence industrial engineering systems modeling machine intelligence theoretical computer science engineering management intelligent robotic systems bio-inspired computation design optimization design engineering intelligent computing embedded systems cyber-physical systems theory of computation fuzzy logic neural computation systems engineering general systems automated reasoning design automation evolutionary intelligence cybernetics memetic computing smart manufacturing

Notable Scholarly Works

Notable Federal Grants

Collaborators

Comparing Different Data Representations and Machine Learning Models to Predict Tennis. Lecture notes in networks and systems (2022)

Arisoa S. RandrianasoloLarry D. Pyeatt

different data representationsmodel comparisondata sciencemachine learning

Using Genetic Algorithm to Create an Ensemble Machine Learning Models to Predict Tennis. Lecture notes in networks and systems (2022)

Arisoa S. RandrianasoloLarry D. Pyeatt

systems biologyensemble machinemachine learning

Building a Better Decision Tree by Delaying the Split Decision. (2019)

computer scienceoperations researchcombinatorial optimizationdecision treesdecision theoryintelligent decision makingdecision tree learningdata sciencesplit decision

Flow Field Forecasting With Many Predictors. (2019)

predictive analyticsforecastingenvironmental fluid mechanicsflow field forecastingpredictive modelingforecasting methodologyapplied mathematicstime series

Predicting Head-To-Head Games With a Similarity Metric and Genetic Algorithm. Advances in intelligent systems and computing (2018)

Arisoa S. RandrianasoloLarry D. Pyeatt

computer scienceintelligent systemshead-to-head games

Using Density Estimation to Detect Computer Intrusions. (2015)

computer scienceddos detectionintrusion detection systemsthreat detectiondensity estimationinformation securitycomputer securityinformation forensicsstatistics

A Theoretical Q-Learning Temporary Security Repair. (2014)

Arisoa S. RandrianasoloLarry D. Pyeatt

computer scienceadversarial machine learningdata securitycomputer securityreinforcement learningmachine learning

Q-Learning: From Computer Network Security to Software Security. (2014)

Arisoa S. RandrianasoloLarry D. Pyeatt

computer sciencenetwork securitysoftware securitycomputer securityinformation securitycomputer network securitysecure computing

Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Study in Human Volunteers. Journal of Machine Learning Research (2014)

Brett L. MooreLarry D. PyeattVivekanand KulkarniPeriklis PanousisKevin PadrezAnthony G. Doufas

anesthesiologyclosed-loop propofol anesthesiahuman volunteersreinforcement learningmachine learninganesthesia

An Artificial Immune System Based on Holland's Classifier as Network Intrusion Detection. (2012)

Arisoa S. RandrianasoloLarry D. Pyeatt

artificial intelligencecomputer scienceintrusion detection systemssystem immunologyimmunologyartificial systemsimmunological computingartificial immune systemnetwork intrusion detectioncomputer securitysystems biologymachine learning

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Larry D Pyeatt

Associate Professor

South Dakota School of Mines and Technology

Affiliations

South Dakota School of Mines and Technology

Computer and Information Sciences

Department Of Computer Science And Engineering

Larry D Pyeatt is currently serving as a Computer And Information Sciences Associate Professor at South Dakota School of Mines And Technology.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Larry D Pyeatt

South Dakota School of Mines and Technology

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Comparing Different Data Representations and Machine Learning Models to Predict Tennis. Lecture notes in networks and systems (2022)

Arisoa S. RandrianasoloLarry D. Pyeatt

different data representationsmodel comparisondata sciencemachine learning

Using Genetic Algorithm to Create an Ensemble Machine Learning Models to Predict Tennis. Lecture notes in networks and systems (2022)

Arisoa S. RandrianasoloLarry D. Pyeatt

systems biologyensemble machinemachine learning

Building a Better Decision Tree by Delaying the Split Decision. (2019)

computer scienceoperations researchcombinatorial optimizationdecision treesdecision theoryintelligent decision makingdecision tree learningdata sciencesplit decision

Flow Field Forecasting With Many Predictors. (2019)

predictive analyticsforecastingenvironmental fluid mechanicsflow field forecastingpredictive modelingforecasting methodologyapplied mathematicstime series

Predicting Head-To-Head Games With a Similarity Metric and Genetic Algorithm. Advances in intelligent systems and computing (2018)

Arisoa S. RandrianasoloLarry D. Pyeatt

computer scienceintelligent systemshead-to-head games

Using Density Estimation to Detect Computer Intrusions. (2015)

computer scienceddos detectionintrusion detection systemsthreat detectiondensity estimationinformation securitycomputer securityinformation forensicsstatistics

A Theoretical Q-Learning Temporary Security Repair. (2014)

Arisoa S. RandrianasoloLarry D. Pyeatt

computer scienceadversarial machine learningdata securitycomputer securityreinforcement learningmachine learning

Q-Learning: From Computer Network Security to Software Security. (2014)

Arisoa S. RandrianasoloLarry D. Pyeatt

computer sciencenetwork securitysoftware securitycomputer securityinformation securitycomputer network securitysecure computing

Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Study in Human Volunteers. Journal of Machine Learning Research (2014)

Brett L. MooreLarry D. PyeattVivekanand KulkarniPeriklis PanousisKevin PadrezAnthony G. Doufas

anesthesiologyclosed-loop propofol anesthesiahuman volunteersreinforcement learningmachine learninganesthesia

An Artificial Immune System Based on Holland's Classifier as Network Intrusion Detection. (2012)

Arisoa S. RandrianasoloLarry D. Pyeatt

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2
10 / page