Faculty

Institution

Unit

Venue

Farshad Fotouhi

Professor

Wayne State University

Affiliations

College of Engineering

Computer Science

Farshad Fotouhi is currently serving as a College Of Engineering Professor at Wayne State University.

Honors

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Experiences

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Education

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Farshad Fotouhi

Wayne State University

Professor

You can click a keyword to filter the displayed items

computer science data science machine learning information retrieval informatics databases data management natural language processing semantic web systems engineering linguistics pattern recognition data mining information technology information science multimedia retrieval knowledge discovery query optimization image databases image retrieval xml querying medical image computing database theory ontology (information science) data security data provenance knowledge engineering data engineering scientific computing knowledge management biomedical imaging scientific data scientific workflow system medical image analysis ontology engineering biomedical informatics logic in computer science machine learning research service computing recommender systems semantic processing database technology query analysis xml dtds efficient processing temporal object system xml data classification method web semantics semantic learning information technology management computational semantics video processing optical engineering xml security scientific workflow provenance emergent semantics xml documents multimodal keywords document clustering data classification classifier systems language engineering data consistency 3d imaging multimedia semantic web disclosure risk measures global disclosure risk structured media objects relational storage adaptive clustering image clustering complex objects computational genomics gene expression profiling incremental learning biomedical ontologies

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Decor 2024: Where Data Engineering Meets Intelligent Food and Cooking Innovation. (2024)

Frederic AndresFarshad FotouhiGheorghita GhineaSteve Tanimoto

technologyinformaticsdata engineeringfood innovationcooking innovation

Abstract P05: Epistonet: An Ensemble of Deep Convolutional Neural Networks Using Mixture of Discriminative Experts for Detecting Covid-19 on Chest X-Ray Images. Clinical Cancer Research (2021)

Seyed Ziae Mousavi MojabSeyedmohammad ShamsFarshad FotouhiHamid Soltanian-Zadeh

medicinemedical image analysiscancer biologyrespiratory medicinedisease detectiondiagnostic imagingobject detectionclinical investigationbiomedical imagingdiscriminative expertsoncologycancer researchcancer carechest x-ray imagesradiologyhealth sciencescovid-19cancer imagingclinical researchmedical imaging

A Novel Recommender System Using Interest Extracting Agents and User Feedback. (2021)

Bilal HawashinAyman MansourFarshad FotouhiShadi AlZu'biTarek Kanan

agent theoryuser feedbackrecommender systemsdata scienceinformation retrieval

Epistocracy Algorithm: A Novel Hyper-Heuristic Optimization Strategy for Solving Complex Optimization Problems. Lecture notes in networks and systems (2021)

Seyed Ziae Mousavi MojabSeyedmohammad ShamsHamid Soltanian-ZadehFarshad Fotouhi

epistocracy algorithmsystems engineeringcomplex optimization problemsmachine learning

EPISTONET: An Ensemble of Epistocracy-Optimized Mixture of Experts for Detecting Covid-19 on Chest X-Ray Images. Scientific Reports (2021)

Seyed Ziae Mousavi MojabSeyedmohammad ShamsFarshad FotouhiHamid Soltanian-Zadeh

covid-19biomedical imagingmedical image computingmedical image analysisbreast imagingepistocracy-optimized mixtureensemble algorithmschest x-ray imagesmachine learningmedical imagingdisease detectionradiologyimage analysisobject detectionhealth sciencesdeep learningepidemiology

An Efficient Cold Start Solution for Recommender Systems Based on Machine Learning and User Interests. (2020)

Bilal HawashinShadi AlzubiAla MughaidFarshad FotouhiAhmad Abusukhon

computer scienceuser interestsmachine learning

Surface Registration With Eigenvalues and Eigenvectors. IEEE Transactions on Visualization and Computer Graphics (2019)

Hajar HamidianZichun ZhongFarshad FotouhiJing Hua

surface registrationcomputer sciencemachine learningdata sciencevisualizationspectral theorycomputer vision

An Efficient Cold Start Solution Based on Group Interests for Recommender Systems. (2018)

Bilal HawashinAyman MansourTarek KananFarshad Fotouhi

systems engineeringgroup interests

Foreword for the Special Issue of Selected Papers From the 7Th Edbt/Icdt Workshop on Privacy and Anonymity in Information Society (Pais 2014). Transactions on data privacy (2015)

Traian Marius TrutaLi XiongFarshad Fotouhi

data scienceinformation societydata privacyinformation security

Adapting Medical Image Processing Tasks to a Scalable Scientific Workflow System. (2014)

Hajar HamidianShiyong LuSatyendra RanaFarshad FotouhiHamid Soltanian-Zadeh

scientific workflow systemsystems engineering

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Farshad Fotouhi

Professor

Wayne State University

Affiliations

College of Engineering

Computer Science

Farshad Fotouhi is currently serving as a College Of Engineering Professor at Wayne 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

Farshad Fotouhi

Wayne State University

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Decor 2024: Where Data Engineering Meets Intelligent Food and Cooking Innovation. (2024)

Frederic AndresFarshad FotouhiGheorghita GhineaSteve Tanimoto

technologyinformaticsdata engineeringfood innovationcooking innovation

Abstract P05: Epistonet: An Ensemble of Deep Convolutional Neural Networks Using Mixture of Discriminative Experts for Detecting Covid-19 on Chest X-Ray Images. Clinical Cancer Research (2021)

Seyed Ziae Mousavi MojabSeyedmohammad ShamsFarshad FotouhiHamid Soltanian-Zadeh

A Novel Recommender System Using Interest Extracting Agents and User Feedback. (2021)

Bilal HawashinAyman MansourFarshad FotouhiShadi AlZu'biTarek Kanan

agent theoryuser feedbackrecommender systemsdata scienceinformation retrieval

Epistocracy Algorithm: A Novel Hyper-Heuristic Optimization Strategy for Solving Complex Optimization Problems. Lecture notes in networks and systems (2021)

Seyed Ziae Mousavi MojabSeyedmohammad ShamsHamid Soltanian-ZadehFarshad Fotouhi

epistocracy algorithmsystems engineeringcomplex optimization problemsmachine learning

EPISTONET: An Ensemble of Epistocracy-Optimized Mixture of Experts for Detecting Covid-19 on Chest X-Ray Images. Scientific Reports (2021)

Seyed Ziae Mousavi MojabSeyedmohammad ShamsFarshad FotouhiHamid Soltanian-Zadeh

An Efficient Cold Start Solution for Recommender Systems Based on Machine Learning and User Interests. (2020)

Bilal HawashinShadi AlzubiAla MughaidFarshad FotouhiAhmad Abusukhon

computer scienceuser interestsmachine learning

Surface Registration With Eigenvalues and Eigenvectors. IEEE Transactions on Visualization and Computer Graphics (2019)

Hajar HamidianZichun ZhongFarshad FotouhiJing Hua

surface registrationcomputer sciencemachine learningdata sciencevisualizationspectral theorycomputer vision

An Efficient Cold Start Solution Based on Group Interests for Recommender Systems. (2018)

Bilal HawashinAyman MansourTarek KananFarshad Fotouhi

systems engineeringgroup interests

Foreword for the Special Issue of Selected Papers From the 7Th Edbt/Icdt Workshop on Privacy and Anonymity in Information Society (Pais 2014). Transactions on data privacy (2015)

Traian Marius TrutaLi XiongFarshad Fotouhi

data scienceinformation societydata privacyinformation security

Adapting Medical Image Processing Tasks to a Scalable Scientific Workflow System. (2014)

Hajar HamidianShiyong LuSatyendra RanaFarshad FotouhiHamid Soltanian-Zadeh

scientific workflow systemsystems engineering

1
2
3
4
5
32
10 / page

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machine learning

computer science

Cyrus Shahabi

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spatial analysis

database

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University of Illinois Chicago

language resource

multidisciplinary ai

Xiaohua Tony Hu

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