Faculty

Institution

Unit

Venue

Yelena Yesha

Professor

University of Miami

Affiliations

College of Arts and Sciences

Computer Science

Yelena Yesha is currently serving as a College Of Arts And Sciences Professor at University of Miami.

Honors

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Experiences

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Education

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Yelena Yesha

University of Miami

Professor

You can click a keyword to filter the displayed items

computer science systems engineering data science machine learning information technology data management health sciences cloud computing internet of things ubiquitous computing information retrieval big data pervasive computing informatics electronic commerce databases knowledge discovery blockchain respiratory medicine vascular surgery service discovery mobile computing computed tomography data security service computing information management computational imaging library science pervasive computing environments semantic web service management database theory service-oriented computing ontology (information science) communication security database technology distributed computing data provenance quality-of-service association rules smart internet serverless cloud distance education collaborative filtering online education data warehousing provenance analysis tracking systems disease risk assessment data indexing generative models laparoscopy earth observation policy management keyword extraction geospatial data digital libraries systematic review virtualized services multi-agent simulation clinical trial analytics climate studies unified framework read-only data atmospheric radiances reputation management knowledge technology data engineering knowledge engineering information filtering system digital culture organizational structure future directions next generation challenges service composition mobile environments climate prediction forecasting climate development climate forecasting environmental impact assessment environmental data climatic change earth science analytics climate change

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Composite Risk Assessment Model for Venous Thromboembolism. Journal of Vascular Surgery Venous and Lymphatic Disorders (2024)

Mary Sixian LinHilary HayssenMinerva Mayorga-CarlinShalini SahooTariq SiddiquiGeorges JreijBrian R EnglumPhuong NguyenYelena YeshaJohn David SorkinBrajesh K Lal

patient safetyvascular surgeryepidemiologyvenous diseasevascular diseaseendovascular managementvenous thrombosisvenous thromboembolism

Blockchain-Based Fine-Grained Access Control for Space Resource Sharing and Management. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024)

Yusen WuAlex Pissinou MakkiKevin PadronPhuong NguyenStephen DennisYelena Yesha

access controlmanagementblockchainremote sensingspace resource sharing

Clinical Factors Impacting Differences in Rates of Venous Thromboembolism Black and White Veterans. Journal of Vascular Surgery Venous and Lymphatic Disorders (2024)

Hilary HayssenShalini SahooBrian EnglumMinerva Mayorga-CarlinTariq SiddiquiPhuong NguyenAman KankariaYelena YeshaJohn SorkinBrajesh Lal

cardiologymedicinehematologyemergency medicineracial discriminationnephrologyvascular surgeryclinical evidenceclinical factorsvascular diseasewhite veteranslymphatic systemclinical epidemiologycritical carelymphatic diseasevenous thromboembolismhemostasis

Data-Driven Pso-Catboost Machine Learning Model to Predict the Compressive Strength of Cfrp- Confined Circular Concrete Specimens. Thin-Walled Structures (2024)

Nima KhodadadiHossein RoghaniFrancisco De CasoEl-Sayed M. El-kenawyYelena YeshaAntonio Nanni

construction engineeringmaterials sciencedata-driven predictionstructural engineeringconcrete technologymachine learning modelsmaterials engineeringdurability performancestructural mechanicscivil engineeringcompressive strengthfragmentation effectmachine learningcomposite scienceengineering

Decentralized Condition Monitoring for Distributed Wind Systems: A Federated Learning-Based Approach to Enhance Scada Data Privacy. (2024)

Gang LiYusen WuYelena Yesha

systems engineeringdata privacydecentralised systemdecentralized privacydistributed energy systemsscada data privacyfederated learningdistributed wind systemscondition monitoring

Efficient Data-Sketches and Fine-Tuning for Early Detection of Distributional Drift in Medical Imaging. arXiv (Cornell University) (2024)

Wu, YusenChen, HaoMakki, Alex PissinouNguyen, PhuongYesha, Yelena

distributional driftefficient data-sketchesmedical imagingdata sciencebiomedical imaging

Improving Vte Identification Through Language Models From Radiology Reports: A Comparative Study of Mamba, Phi-3 Mini, and Bert. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2024)

Jamie DengYusen WuYelena YeshaPhuong Nguyen

biomedical data sciencebiomedical informaticsradiologycomparative studybiomedical engineeringbiomedical text miningdeep learninglanguage modelsnatural language processingvte identificationcomputational biologybioinformatics

Quantifying Input Data Drift in Medical Machine Learning Models by Detecting Change-Points in Time-Series Data. Medical Imaging 2018: Computer-Aided Diagnosis (2024)

Smriti PrathapanRavi K. SamalaNathan HadjiyskiPierre-François D’HaeseFabien MaldonadoPhuong NguyenYelena YeshaBerkman Sahiner

real-time datachange detectioninput data drifttime-series datadata sciencemachine learning

Ability of Caprini and Padua Risk-Assessment Models to Predict Venous Thromboembolism in a Nationwide Veterans Affairs Study. Journal of Vascular Surgery Venous and Lymphatic Disorders (2023)

Hilary HayssenShalini SahooPhuong NguyenMinerva Mayorga-CarlinTariq SiddiquiBrian EnglumJulia F. SlejkoC. Daniel MullinsYelena YeshaJohn D. SorkinBrajesh K. Lal

public healthvascular surgeryemergency medicinehematologydisease risk assessmentrisk-assessment modelshealth risk assessmentrespiratory medicinehealth sciencesvenous thromboembolism

Active Semi-Supervised Learning via Bayesian Experimental Design for Lung Cancer Classification Using Low Dose Computed Tomography Scans. Applied Sciences (2023)

Phuong NguyenAnkita RathodDavid ChapmanSmriti PrathapanSumeet MenonMichael MorrisYelena Yesha

thoracic oncologyradiation oncologycancer researchactive semi-supervised learningdeep learningmedical imagingcancer imagingoncologycomputed tomographyrespiratory medicinebayesian experimental designlung cancer classificationbiomedical imagingapplied physicscomputational medicinemachine learninghealth sciences

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Yelena Yesha

Professor

University of Miami

Affiliations

College of Arts and Sciences

Computer Science

Yelena Yesha is currently serving as a College Of Arts And Sciences Professor at University of Miami.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yelena Yesha

University of Miami

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Composite Risk Assessment Model for Venous Thromboembolism. Journal of Vascular Surgery Venous and Lymphatic Disorders (2024)

Mary Sixian LinHilary HayssenMinerva Mayorga-CarlinShalini SahooTariq SiddiquiGeorges JreijBrian R EnglumPhuong NguyenYelena YeshaJohn David SorkinBrajesh K Lal

patient safetyvascular surgeryepidemiologyvenous diseasevascular diseaseendovascular managementvenous thrombosisvenous thromboembolism

Blockchain-Based Fine-Grained Access Control for Space Resource Sharing and Management. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024)

Yusen WuAlex Pissinou MakkiKevin PadronPhuong NguyenStephen DennisYelena Yesha

access controlmanagementblockchainremote sensingspace resource sharing

Clinical Factors Impacting Differences in Rates of Venous Thromboembolism Black and White Veterans. Journal of Vascular Surgery Venous and Lymphatic Disorders (2024)

Hilary HayssenShalini SahooBrian EnglumMinerva Mayorga-CarlinTariq SiddiquiPhuong NguyenAman KankariaYelena YeshaJohn SorkinBrajesh Lal

Data-Driven Pso-Catboost Machine Learning Model to Predict the Compressive Strength of Cfrp- Confined Circular Concrete Specimens. Thin-Walled Structures (2024)

Nima KhodadadiHossein RoghaniFrancisco De CasoEl-Sayed M. El-kenawyYelena YeshaAntonio Nanni

Decentralized Condition Monitoring for Distributed Wind Systems: A Federated Learning-Based Approach to Enhance Scada Data Privacy. (2024)

Gang LiYusen WuYelena Yesha

systems engineeringdata privacydecentralised systemdecentralized privacydistributed energy systemsscada data privacyfederated learningdistributed wind systemscondition monitoring

Efficient Data-Sketches and Fine-Tuning for Early Detection of Distributional Drift in Medical Imaging. arXiv (Cornell University) (2024)

Wu, YusenChen, HaoMakki, Alex PissinouNguyen, PhuongYesha, Yelena

distributional driftefficient data-sketchesmedical imagingdata sciencebiomedical imaging

Jamie DengYusen WuYelena YeshaPhuong Nguyen

Quantifying Input Data Drift in Medical Machine Learning Models by Detecting Change-Points in Time-Series Data. Medical Imaging 2018: Computer-Aided Diagnosis (2024)

Smriti PrathapanRavi K. SamalaNathan HadjiyskiPierre-François D’HaeseFabien MaldonadoPhuong NguyenYelena YeshaBerkman Sahiner

real-time datachange detectioninput data drifttime-series datadata sciencemachine learning

Ability of Caprini and Padua Risk-Assessment Models to Predict Venous Thromboembolism in a Nationwide Veterans Affairs Study. Journal of Vascular Surgery Venous and Lymphatic Disorders (2023)

Hilary HayssenShalini SahooPhuong NguyenMinerva Mayorga-CarlinTariq SiddiquiBrian EnglumJulia F. SlejkoC. Daniel MullinsYelena YeshaJohn D. SorkinBrajesh K. Lal

public healthvascular surgeryemergency medicinehematologydisease risk assessmentrisk-assessment modelshealth risk assessmentrespiratory medicinehealth sciencesvenous thromboembolism

Active Semi-Supervised Learning via Bayesian Experimental Design for Lung Cancer Classification Using Low Dose Computed Tomography Scans. Applied Sciences (2023)

Phuong NguyenAnkita RathodDavid ChapmanSmriti PrathapanSumeet MenonMichael MorrisYelena Yesha

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