Faculty

Institution

Unit

Venue

Anca L Ralescu

Professor

University of Cincinnati

Affiliations

College of Engineering & Applied Science

Computer Science

Anca L Ralescu is currently serving as a College Of Engineering & Applied Science Professor at University of Cincinnati.

Honors

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Experiences

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Education

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Anca L Ralescu

University of Cincinnati

Professor

You can click a keyword to filter the displayed items

computer science machine learning pattern recognition data science fuzzy logic computer vision artificial intelligence cognitive science fuzzy systems neuroscience natural language processing computational intelligence fuzzy computing fuzzy sets computer security deep learning soft computing machine learning research fuzzy mathematics classification method data classification object recognition fuzzy classifiers information security fuzzy optimization similarity measure fuzzy modeling eeg signal processing malware analysis classifier systems fuzzy classifier decision science feature selection software security supervised learning image retrieval image segmentation image understanding information technology multiple-criteria decision analysis automatic control vehicular technology knowledge management data security approximate reasoning firmware detection self-supervised learning control engineering scene interpretation adaptive control optical engineering working memory threat detection signal separation eeg analysis fuzzy cluster validity perceptual information processing heterogeneous data human-computer interaction scientific computing guidance system ranking algorithms decision analysis spatial filtering explainable ai spatial organization image processing qualitative knowledge perceptual organization linguistic modeling systematic review point cloud surfaces class imbalance problem cybernetics knowledge engineering primitive spatial relations applied artificial intelligence intelligent processing intelligent data analysis fuzzy classification imbalanced data

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advanced Hog Research: Multi-Scale Partitioning Hog Algorithm. IEEE Access (2025)

computational optimizationcomputational geometryadvanced hog researchalgorithmic efficiencypattern recognitionimage analysiscomputer science

Automated Detection of Spreading Depolarizations in Electrocorticography. Scientific Reports (2025)

electrophysiological evaluationelectrophysiologymedical image computingsignal processingwaveform analysis

Using Clinical and Radiographic Variables to Predict Intracranial Aneurysm Rupture Status With Machine Learning. Surgical Neurology International (2025)

neurosurgeryneurologyradiologyneuroimagingdiagnosisneuroradiologycomputer-aided diagnosisintelligent diagnosticsai healthcareradiographic variablesmedical image computingmachine learning researchdata sciencedigital medicinemachine learningneurovascular diseases

A Contour-Based Feature Extraction Algorithm. Advances in Artificial Intelligence and Machine Learning (2024)

Wenjiao LiuăAnca Ralescu

machine intelligencefeature extractionmachine learningcomputer visionartificial intelligencemachine visionpattern recognitioncomputational intelligencecomputer science

A Novel Deep Multimodal Contrastive Network for Early Prediction of Cognitive Deficits Using Multimodal Mri and Clinical Data. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024)

Zhiyuan LiHailong LiNehal ParikhJonathan DillmanAnca RalescuLili He

magnetic resonance imagingmedicinemagnetic resonanceneuroimagingdeep learningmedical imagingcognitive deficitsmultimodal mri

Empirical Network Structure of Malicious Programs. Advances in Artificial Intelligence and Machine Learning (2024)

John MusgraveAlina CampanTemesguen Messay-KebedeDavid KappBoyang Wang

machine intelligencenetwork analysismachine learningmalicious programscomputer securityartificial intelligenceempirical network structurethreat detectioncomputer science

Insights Into Image Understanding: Segmentation Methods for Object Recognition and Scene Classification. Algorithms (2024)

Sarfaraz Ahmed MohammedAnca L. Ralescu

image understandingimage segmentationsegmentation methodscomputer visionscene classificationobject recognitioncomputer science

Joint Self-Supervised and Supervised Contrastive Learning for Multimodal Mri Data: Towards Predicting Abnormal Neurodevelopment. Artificial Intelligence in Medicine (2024)

Zhiyuan LiHailong LiAnca L RalescuJonathan R DillmanMekibib AltayeKim M CecilNehal A ParikhLili He

magnetic resonance imagingabnormal neurodevelopmentneuroimagingsupervised contrastive learningdeep learningimage analysisdata scienceknowledge discoveryself-supervised learningsupervised learningmachine learningneurosciencemultimodal mri data

Knn Classification of Malware Data Dependency Graph Features. arXiv (Cornell University) (2024)

John MusgraveAnca Ralescu

informaticsknn classificationmachine learningcomputer securitydata scienceinformation securitydata securitydependency analysiscomputer sciencemalware analysisbioinformatics

The Aggregated Model for Human Target Classification. (2024)

Wenjiao LiuAnca Ralescu

machine learningclassification methodbiostatisticsaggregated modelmachine learning researchdata sciencehuman target classificationcomputer science

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Anca L Ralescu

Professor

University of Cincinnati

Affiliations

College of Engineering & Applied Science

Computer Science

Anca L Ralescu is currently serving as a College Of Engineering & Applied Science Professor at University of Cincinnati.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Anca L Ralescu

University of Cincinnati

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advanced Hog Research: Multi-Scale Partitioning Hog Algorithm. IEEE Access (2025)

computational optimizationcomputational geometryadvanced hog researchalgorithmic efficiencypattern recognitionimage analysiscomputer science

Automated Detection of Spreading Depolarizations in Electrocorticography. Scientific Reports (2025)

electrophysiological evaluationelectrophysiologymedical image computingsignal processingwaveform analysis

Using Clinical and Radiographic Variables to Predict Intracranial Aneurysm Rupture Status With Machine Learning. Surgical Neurology International (2025)

A Contour-Based Feature Extraction Algorithm. Advances in Artificial Intelligence and Machine Learning (2024)

Wenjiao LiuăAnca Ralescu

machine intelligencefeature extractionmachine learningcomputer visionartificial intelligencemachine visionpattern recognitioncomputational intelligencecomputer science

Zhiyuan LiHailong LiNehal ParikhJonathan DillmanAnca RalescuLili He

magnetic resonance imagingmedicinemagnetic resonanceneuroimagingdeep learningmedical imagingcognitive deficitsmultimodal mri

Empirical Network Structure of Malicious Programs. Advances in Artificial Intelligence and Machine Learning (2024)

John MusgraveAlina CampanTemesguen Messay-KebedeDavid KappBoyang Wang

machine intelligencenetwork analysismachine learningmalicious programscomputer securityartificial intelligenceempirical network structurethreat detectioncomputer science

Insights Into Image Understanding: Segmentation Methods for Object Recognition and Scene Classification. Algorithms (2024)

Sarfaraz Ahmed MohammedAnca L. Ralescu

image understandingimage segmentationsegmentation methodscomputer visionscene classificationobject recognitioncomputer science

Joint Self-Supervised and Supervised Contrastive Learning for Multimodal Mri Data: Towards Predicting Abnormal Neurodevelopment. Artificial Intelligence in Medicine (2024)

Zhiyuan LiHailong LiAnca L RalescuJonathan R DillmanMekibib AltayeKim M CecilNehal A ParikhLili He

Knn Classification of Malware Data Dependency Graph Features. arXiv (Cornell University) (2024)

John MusgraveAnca Ralescu

informaticsknn classificationmachine learningcomputer securitydata scienceinformation securitydata securitydependency analysiscomputer sciencemalware analysisbioinformatics

The Aggregated Model for Human Target Classification. (2024)

Wenjiao LiuAnca Ralescu

machine learningclassification methodbiostatisticsaggregated modelmachine learning researchdata sciencehuman target classificationcomputer science

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