Faculty

Institution

Unit

Venue

Ioannis Kakadiaris

Professor

University of Houston

Affiliations

College of Natural Sciences and Mathematics

Computer Science

Cullen College of Engineering

Electrical & Computer Engineering

Tilman J. Fertitta Family College of Medicine

Health Systems and Population Health Sciences

Ioannis Kakadiaris is currently serving as a College Of Natural Sciences And Mathematics Professor at University of Houston.

Honors

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Experiences

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Education

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Ioannis Kakadiaris

University of Houston

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

AI-Enabled Cardiac Chambers Volumetry and Calcified Plaque Characterization in Coronary Artery Calcium (Cac) Scans (AI-Cac) Significantly Improves on Agatston Cac Score for Predicting All Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis. Research Square (2024)

Morteza NaghaviAnthony ReevesKyle AtlasChenyu ZhangThomas AtlasClaudia HenschkeDavid YankelevitzMatthew BudoffDong LiSion RoyKhurram NasirJagat NarulaIoannis KakadiarisSabee MolloiZahi FayadDavid MaronMichael McConnellKim WilliamsDaniel LevyNathan Wong

new artificial intelligencecardiologycoronary artery diseaseai healthcareatherosclerosiscardiovascular researchradiologycardiac pathologiesagatston scorecardiovascular diseaseemergency medicinecardiovascular imaging

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care. The Journal of the American Board of Family Medicine (2024)

Richard A. YoungCarmel M. MartinJoachim P. SturmbergSally HallAndrew BazemoreIoannis A. KakadiarisSteven Lin

family medicinecomplexity sciencemachine learningartificial intelligencehealth sciencesprimary care

AI-Snips: A Platform for Network Intelligence-Based Pharmaceutical Security. Proceedings of the AAAI Conference on Artificial Intelligence (2023)

Timothy A. BurtNikos PassasIoannis A. Kakadiaris

computer scienceartificial intelligence

Artificial Intelligence Research Strategy of the United States: Critical Assessment and Policy Recommendations. Frontiers in Big Data (2023)

Furkan GursoyIoannis A. Kakadiaris

critical assessmentdata scienceartificial intelligencebig datapolicy recommendationsunited states

Measuring Public Policy Effectiveness in the Age of Data and AI: Insights From Covid-19. 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET) (2023)

Haileleol TibebuEden MekonnenIoannis A. KakadiarisVaruna De Silva

covid-19data sciencepublic policypublic policy effectivenessartificial intelligenceaugmented intelligencestatistics

Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models. (2022)

Eric IngramFurkan GursoyIoannis A. Kakadiaris

criminal recidivism modelsmachine learningcriminologysocial sciencesfairness

Accuracy-Fairness Tradeoff in Parole Decision Predictions: A Preliminary Analysis. (2022)

John W. GardnerFurkan GursoyIoannis A. Kakadiaris

accuracy-fairness tradeoffbehavioral sciencespreliminary analysisdecision theorypenologycorrectional practiceparole decision predictions

A Critical Assessment of the Algorithmic Accountability Act of 2022. SSRN Electronic Journal (2022)

Furkan GursoyRyan KennedyIoannis Kakadiaris

performance evaluationcritical assessmentcomputer sciencealgorithmic accountability act

Competencies for the Use of Artificial Intelligence in Primary Care. The Annals of Family Medicine (2022)

Winston LiawJacqueline K. KueperSteven LinAndrew BazemoreIoannis Kakadiaris

primary carefamily medicineartificial intelligence

Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems. 2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2022)

Furkan GursoyIoannis A. Kakadiaris

data miningartificial intelligencemeasuring group-based disparitiessystems engineeringautomated decision systems

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Ioannis Kakadiaris

Professor

University of Houston

Affiliations

College of Natural Sciences and Mathematics

Computer Science

Cullen College of Engineering

Electrical & Computer Engineering

Tilman J. Fertitta Family College of Medicine

Health Systems and Population Health Sciences

Ioannis Kakadiaris is currently serving as a College Of Natural Sciences And Mathematics Professor at University of Houston.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ioannis Kakadiaris

University of Houston

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care. The Journal of the American Board of Family Medicine (2024)

Richard A. YoungCarmel M. MartinJoachim P. SturmbergSally HallAndrew BazemoreIoannis A. KakadiarisSteven Lin

family medicinecomplexity sciencemachine learningartificial intelligencehealth sciencesprimary care

AI-Snips: A Platform for Network Intelligence-Based Pharmaceutical Security. Proceedings of the AAAI Conference on Artificial Intelligence (2023)

Timothy A. BurtNikos PassasIoannis A. Kakadiaris

computer scienceartificial intelligence

Artificial Intelligence Research Strategy of the United States: Critical Assessment and Policy Recommendations. Frontiers in Big Data (2023)

Furkan GursoyIoannis A. Kakadiaris

critical assessmentdata scienceartificial intelligencebig datapolicy recommendationsunited states

Measuring Public Policy Effectiveness in the Age of Data and AI: Insights From Covid-19. 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET) (2023)

Haileleol TibebuEden MekonnenIoannis A. KakadiarisVaruna De Silva

covid-19data sciencepublic policypublic policy effectivenessartificial intelligenceaugmented intelligencestatistics

Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models. (2022)

Eric IngramFurkan GursoyIoannis A. Kakadiaris

criminal recidivism modelsmachine learningcriminologysocial sciencesfairness

Accuracy-Fairness Tradeoff in Parole Decision Predictions: A Preliminary Analysis. (2022)

John W. GardnerFurkan GursoyIoannis A. Kakadiaris

accuracy-fairness tradeoffbehavioral sciencespreliminary analysisdecision theorypenologycorrectional practiceparole decision predictions

A Critical Assessment of the Algorithmic Accountability Act of 2022. SSRN Electronic Journal (2022)

Furkan GursoyRyan KennedyIoannis Kakadiaris

performance evaluationcritical assessmentcomputer sciencealgorithmic accountability act

Competencies for the Use of Artificial Intelligence in Primary Care. The Annals of Family Medicine (2022)

Winston LiawJacqueline K. KueperSteven LinAndrew BazemoreIoannis Kakadiaris

primary carefamily medicineartificial intelligence

Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems. 2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2022)

Furkan GursoyIoannis A. Kakadiaris

data miningartificial intelligencemeasuring group-based disparitiessystems engineeringautomated decision systems

1
2
3
4
5
32
10 / page

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biomedical imaging

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image processor

Jun Kong

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Nasser Kehtarnavaz

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digital image processing

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