Faculty

Institution

Unit

Venue

Ophir Frieder

Professor

Georgetown University

Affiliations

Georgetown University College of Arts & Sciences

Computer Science

Ophir Frieder is currently serving as a Computer Science Professor at Georgetown University.

Honors

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Experiences

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Education

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Ophir Frieder

Georgetown University

Professor

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computer science information retrieval machine learning systems engineering data science natural language processing information technology communication parallel computing information science informatics data mining databases search technology optical engineering search technique knowledge discovery parallel processing data retrieval graph theory document processing information management query analysis web search distributed computing database technology query optimization peer-to-peer file-sharing systems online information distributed systems network routing algorithm network routing relevance feedback ranking algorithms structured data relational database information fusion computational intelligence wireless communications scientific computing knowledge management communication security data security routing protocols knowledge retrieval retrieval technique indexing technique data indexing query expansion technology-assisted review drug prescription conversational search localization machine translation distributed processing automatic classification information theory document classification text indexing social medium monitoring classification method storage allocation image retrieval keyword search repeatable evaluation web queries physical interference model metaphor identification biological sequence analysis cube-connected multicomputer system clinical decision support dynamic program updating multihop wireless networks known-item retrieval gait assessment optimal placement health informatics data-intensive platform health technology health information science

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Gender Matters: On Recurrence Risk of Cardiovascular Complications for Type 2 Diabetes Subjects. Research Square (Research Square) (2024)

Michele GentiliStefano LeonardiFabrizio SilvestriFederico CroceRiccardo RosatiGiorgio GraniRiccardo CandidoGraziano Di CianniDomenico ManninoPaola PonzaniGiuseppina RussoAntonio NicolucciOphir FriederMarianna Maranghi

diabetes carediabetesgender inequalitydiabetes mellitusrecurrence riskchronic diseasesgender studiescardiovascular diseasewomen's healthcardiovascular researchpreventive cardiologydiabetes researchcardiovascular complicationsgender mattersdiabetes subjectsdiabetic medicinegender diversityepidemiologygestational diabetesinsulin managementpublic healthdiabetes epidemiology

Genetic Approach to Mitigate Hallucination in Generative Ir. arXiv (Cornell University) (2024)

Kulkarni, HrishikeshGoharian, NazliFrieder, OphirMacAvaney, Sean

geneticsgenetic algorithmsgenerative irneurosciencecognitive scienceartificial intelligence

LEXBOOST: Improving Lexical Document Retrieval With Nearest Neighbors. (2024)

Hrishikesh KulkarniNazli GoharianOphir FriederSean MacAvaney

nearest neighborscomputer scienceinformation retrieval

Self-Supervised Representation Learning on Electronic Health Records With Graph Kernel Infomax. ACM Transactions on Computing for Healthcare (2024)

Hao-Ren YaoNairen CaoKatina RussellDer-Chen ChangOphir FriederJeremy T. Fineman

self-supervised learningdeep learningcomputer sciencehealth informaticshealth carehealth sciencesmachine learningknowledge discoverygraph kernel infomaxself-supervised representationehealthpublic healthsupervised learningubiquitous computingai healthcarebiomedical informatics

Commonsense Injection in Conversational Systems: An Adaptable Framework for Query Expansion. (2023)

Guido RocchiettiOphir FriederCristina Ioana MunteanFranco Maria NardiniRaffaele Perego

computer scienceadaptable frameworkcommonsense injectionmachine learningnatural language processingquery expansionconversational systems

Genetic Generative Information Retrieval. (2023)

Hrishikesh KulkarniZachary YoungNazli GoharianOphir FriederSean MacAvaney

geneticsinformation retrievalgenomics

Heat Kernels on Unit Spheres and Applications to Graph Kernels. Journal of Nonlinear and Variational Analysis (2023)

Der-Chen ChangOphir FriederChi-Feng HungHao-Ren Yao

variational analysisgraph theoryunit spheresheat kernelsapplied mathematics

Knowledge Augmentation for Early Depression Detection. Studies in computational intelligence (2023)

Hrishikesh KulkarniSean MacAvaneyNazli GoharianOphir Frieder

computer sciencecomputational intelligencemachine learningintelligent computingnatural language processingdata sciencemachine intelligenceartificial intelligenceknowledge augmentationearly depression detectionbehavioral sciences

Lexically-Accelerated Dense Retrieval. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023)

Hrishikesh KulkarniSean MacAvaneyNazli GoharianOphir Frieder

lexicographylexiconcomputer scienceinformation retrievalpattern recognitionlexically-accelerated dense retrievalmachine learningnatural language processingcomputer visionretrieval techniqueimage retrieval

On Democratizing Data: Diminishing Disparity and Increasing Scientific Productivity. Harvard data science review (2023)

Ophir Frieder

scientific datascientific communicationscientific computingdiminishing disparityknowledge managementsocial sciencesdata sciencescientific data managementscientific productivitydata integrationdata-driven innovationsscientometricsdata publishingdemocratizationdata reductiondata-driven sciencebig datadata privacydata management

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Ophir Frieder

Professor

Georgetown University

Affiliations

Georgetown University College of Arts & Sciences

Computer Science

Ophir Frieder is currently serving as a Computer Science Professor at Georgetown 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

Ophir Frieder

Georgetown University

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Gender Matters: On Recurrence Risk of Cardiovascular Complications for Type 2 Diabetes Subjects. Research Square (Research Square) (2024)

Genetic Approach to Mitigate Hallucination in Generative Ir. arXiv (Cornell University) (2024)

Kulkarni, HrishikeshGoharian, NazliFrieder, OphirMacAvaney, Sean

geneticsgenetic algorithmsgenerative irneurosciencecognitive scienceartificial intelligence

LEXBOOST: Improving Lexical Document Retrieval With Nearest Neighbors. (2024)

Hrishikesh KulkarniNazli GoharianOphir FriederSean MacAvaney

nearest neighborscomputer scienceinformation retrieval

Self-Supervised Representation Learning on Electronic Health Records With Graph Kernel Infomax. ACM Transactions on Computing for Healthcare (2024)

Hao-Ren YaoNairen CaoKatina RussellDer-Chen ChangOphir FriederJeremy T. Fineman

Commonsense Injection in Conversational Systems: An Adaptable Framework for Query Expansion. (2023)

Guido RocchiettiOphir FriederCristina Ioana MunteanFranco Maria NardiniRaffaele Perego

computer scienceadaptable frameworkcommonsense injectionmachine learningnatural language processingquery expansionconversational systems

Genetic Generative Information Retrieval. (2023)

Hrishikesh KulkarniZachary YoungNazli GoharianOphir FriederSean MacAvaney

geneticsinformation retrievalgenomics

Heat Kernels on Unit Spheres and Applications to Graph Kernels. Journal of Nonlinear and Variational Analysis (2023)

Der-Chen ChangOphir FriederChi-Feng HungHao-Ren Yao

variational analysisgraph theoryunit spheresheat kernelsapplied mathematics

Knowledge Augmentation for Early Depression Detection. Studies in computational intelligence (2023)

Hrishikesh KulkarniSean MacAvaneyNazli GoharianOphir Frieder

Lexically-Accelerated Dense Retrieval. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023)

Hrishikesh KulkarniSean MacAvaneyNazli GoharianOphir Frieder

On Democratizing Data: Diminishing Disparity and Increasing Scientific Productivity. Harvard data science review (2023)

Ophir Frieder

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