Faculty

Institution

Unit

Venue

Dr. Mitch Parry

Associate Professor Graduate Program Director

Appalachian State University

Affiliations

Appalachian State University

University College

College Of Arts And Sciences

College of Arts and Sciences

Department Of Computer Science

College Of Arts And Sciences

Department Of Computer Science

Dr. Mitch Parry is currently serving as an Appalachian State University Associate Professor Graduate Program Director at Appalachian State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Dr. Mitch Parry

Appalachian State University

Associate Professor Graduate Program Director

You can click a keyword to filter the displayed items

data science bioinformatics mass spectrometry computer science image analysis computer vision pattern recognition deep learning machine learning health sciences machine vision cancer biology artificial bee biostatistics chemical ecology localization microarray data analysis matrix factorization agricultural robots image classification convolutional neural networks tissue imaging fungal ecology algal research information visualization plo biology plant science protein science biomedical analysis molecular diagnostics biomedical imaging clinical proteomics histopathology scientific computing scientometrics educational psychology ecological chemistry marine biotechnology chemical oceanography host-guest chemistry environmental biotechnology pharmacogenomics computational visualization scientific visualization marine ecology spectral analysis medical image analysis video surveillance feature extraction clinical evidence biomedical photonics innovative diagnostics feature scaling automatic classification disease classification classification method similarity measure teacher educators teacher development audio interface common practices microarray quality control microarray-based predictive models tropical seaweed clinical outcome prediction k-nearest neighbor models integral investigation real-time mass spectrometry counterfeit pharmaceuticals direct analysis open matlab-based tool seaweed allelopathy surface distribution seaweed secondary metabolite matrix factorization techniques leaf classification

Notable Scholarly Works

Notable Federal Grants

Collaborators

Honey Bee Piping Detection Utilizing Convolutional Neural Networks. IEEE Sensors Journal (2025)

deep learningpattern recognitionsoft computingcomputer visionmachine visionsensorsbio-inspired computationconvolutional neural networksneural network (machine learning)image representation

Bee Traffic Estimation With Yolo and Optical Flow. (2024)

vehicular technologytraffic flowsystems engineeringsignal processingbee traffic estimationartificial bee

Utilizing Yolo for Determining Honey Beehive Health Based on the Cast Ratio at the Entrance. SSRN Electronic Journal (2024)

Will O'BrienRahman TashakkoriTayo OlofintuyiR. Mitchell ParryChristopher Leigh Campell

anthropologyavian biologyhoney beehive healthcast ratioentomology

Non-Invasive Spectral-Based Swarm Detection. (2023)

swarm dynamicsystems engineeringswarm intelligencelocalizationsignal processingsensors

Estimating the Number of Drones at the Entrance of a Honey Bee Hive Using Machine Learning Tools. SoutheastCon 2022 (2022)

dronescomputer scienceintelligent systemsmachine learning toolsunmanned aerial vehiclesintelligent computingdata scienceartificial intelligenceinsect sciencehoney bee hiveartificial beeagricultural robots

Fast Heuristic Detection of Offensive Words in Wordwheel Puzzles. Proceedings of the AAAI Conference on Artificial Intelligence (2022)

applied linguisticscontent analysissemantic evaluationfast heuristic detectionlanguage resourceslanguagecomputational linguisticscomputational lexicologylinguistics

BEEPHON: A Web-Application for Beehive Audio Exploration. (2019)

audio miningcomputer musicsoundmusic information retrievalaudio retrievalspoken language technologyacoustic musicmusicbeehive audio explorationaudio interfacemusic technology (electronic and digital)

Saving the Sea, Socially. Communication Design Quarterly (2017)

social philosophysocial sciencessocial forcessocial anthropologyocean space utilizationmarine policyblue economysocial changemaritime securityglobal responsibilityculturecoastal conservationphilosophy of social sciencepublic life

Measuring the Validity of Algorithms to Automatically Categorize Facebook Content. (2016)

computer scienceinformation retrievalinformation filtering systemcontent analysiscommunicationweb trendsocial medium miningknowledge discoverydata sciencetext miningonline informationweb miningsocial mediadata miningworld wide websocial network analysis

Whole Reproductive System Non-Negative Matrix Factorization Mass Spectrometry Imaging of an Early-Stage Ovarian Cancer Mouse Model. PLoS ONE (2016)

Martin R. L. PaineJaeyeon KimRachel V. BennettR. Mitchell ParryDavid A. GaulMay D. WangMartin M. MatzukFacundo M. Fernández

cancer biologymatrix factorizationoncologyovarian cancermass spectrometryplo biologybiological imaginggynecology

1
2
3
4
10 / page

Dr. Mitch Parry

Associate Professor Graduate Program Director

Appalachian State University

Affiliations

Appalachian State University

University College

College Of Arts And Sciences

College of Arts and Sciences

Department Of Computer Science

College Of Arts And Sciences

Department Of Computer Science

Dr. Mitch Parry is currently serving as an Appalachian State University Associate Professor Graduate Program Director at Appalachian State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Dr. Mitch Parry

Appalachian State University

Associate Professor Graduate Program Director

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Honey Bee Piping Detection Utilizing Convolutional Neural Networks. IEEE Sensors Journal (2025)

deep learningpattern recognitionsoft computingcomputer visionmachine visionsensorsbio-inspired computationconvolutional neural networksneural network (machine learning)image representation

Bee Traffic Estimation With Yolo and Optical Flow. (2024)

vehicular technologytraffic flowsystems engineeringsignal processingbee traffic estimationartificial bee

Utilizing Yolo for Determining Honey Beehive Health Based on the Cast Ratio at the Entrance. SSRN Electronic Journal (2024)

Will O'BrienRahman TashakkoriTayo OlofintuyiR. Mitchell ParryChristopher Leigh Campell

anthropologyavian biologyhoney beehive healthcast ratioentomology

Non-Invasive Spectral-Based Swarm Detection. (2023)

swarm dynamicsystems engineeringswarm intelligencelocalizationsignal processingsensors

Estimating the Number of Drones at the Entrance of a Honey Bee Hive Using Machine Learning Tools. SoutheastCon 2022 (2022)

Fast Heuristic Detection of Offensive Words in Wordwheel Puzzles. Proceedings of the AAAI Conference on Artificial Intelligence (2022)

applied linguisticscontent analysissemantic evaluationfast heuristic detectionlanguage resourceslanguagecomputational linguisticscomputational lexicologylinguistics

BEEPHON: A Web-Application for Beehive Audio Exploration. (2019)

audio miningcomputer musicsoundmusic information retrievalaudio retrievalspoken language technologyacoustic musicmusicbeehive audio explorationaudio interfacemusic technology (electronic and digital)

Saving the Sea, Socially. Communication Design Quarterly (2017)

Measuring the Validity of Algorithms to Automatically Categorize Facebook Content. (2016)

Whole Reproductive System Non-Negative Matrix Factorization Mass Spectrometry Imaging of an Early-Stage Ovarian Cancer Mouse Model. PLoS ONE (2016)

Martin R. L. PaineJaeyeon KimRachel V. BennettR. Mitchell ParryDavid A. GaulMay D. WangMartin M. MatzukFacundo M. Fernández

cancer biologymatrix factorizationoncologyovarian cancermass spectrometryplo biologybiological imaginggynecology

1
2
3
4
10 / page