Eleni Vrochidou

Researcher/ Lecturer

International Hellenic University

Greece

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Eleni Vrochidou is a Lecturer at the International Hellenic University, Greece. Her research interests encompass AI-driven methodologies for mental disorders, deep vision models, and adversarial attacks on industrial systems. Additionally, she investigates applications of AI in wastewater management, pancreatic cancer diagnostics, and agricultural technology. Vrochidou's work contributes significantly to the understanding and advancement of AI applications across various fields.

Articles (20)

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2025

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2022

Collaborators (9)

George Tsekouras

Professor

Panepistemio Patron Schole Thetikon Epistemon

GREECE

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Zongliang Yue

Assistant Research Professor

Auburn University

UNITED STATES

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Vassilis Kaburlasos

Tenured Full Professor

International Hellenic University (IHU)

GREECE

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Ioannis Tsimperidis

International Hellenic University

GREECE

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George A. Papakostas

International Hellenic University

GREECE

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George Broufas

Associate Professor

Democritus University of Thrace

GREECE

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Efthimia Mavridou

Democritus University of Thrace

GREECE

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Theodore Pachidis

International Hellenic University

GREECE

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Lazaros Iliadis

Democritus University of Thrace

GREECE

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Eleni Vrochidou

Research Interests

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Articles (20)

Mapping the brain: AI-driven radiomic approaches to mental disorders

Empirical Evaluation of Invariances in Deep Vision Models

Exposing Vulnerabilities: Physical Adversarial Attacks on AI-Based Fault Diagnosis Models in Industrial Air-Cooling Systems

Advanced Graph–Physics Hybrid Framework (AGPHF) for Holistic Integration of AI-Driven Graph- and Physics- Methodologies to Promote Resilient Wastewater Management in Dynamic Real-World Conditions

Advancements in Radiomics-Based AI for Pancreatic Ductal Adenocarcinoma

Interframe Forgery Video Detection: Datasets, Methods, Challenges, and Search Directions

Data-Driven Decision Support in SaaS Cloud-Based Service Models

The potential of Large Language Models for social robots in special education

Correction: Polymeropoulos et al. Enhancing Solar Plant Efficiency: A Review of Vision-Based Monitoring and Fault Detection Techniques. Technologies 2024, 12, 175

Empowering Kiwifruit Cultivation with AI: Leaf Disease Recognition Using AgriVision-Kiwi Open Dataset

Connecting national flags – a deep learning approach

Identifying Historic Buildings over Time through Image Matching

A Holistic Approach on Airfare Price Prediction Using Machine Learning Techniques

Deep Learning and Optimization-Based Methods for Skin Lesions Segmentation: A Review

Multi-Class Classification of Plant Leaf Diseases Using Feature Fusion of Deep Convolutional Neural Network and Local Binary Pattern

Omics Data and Data Representations for Deep Learning-Based Predictive Modeling

Towards Robotic Marble Resin Application: Crack Detection on Marble Using Deep Learning

Variable Selection on Reflectance NIR Spectra for the Prediction of TSS in Intact Berries of Thompson Seedless Grapes

On Predicting Soccer Outcomes in the Greek League Using Machine Learning

An Overview of End Effectors in Agricultural Robotic Harvesting Systems

Collaborators (9)

George Tsekouras

Zongliang Yue

Vassilis Kaburlasos

Ioannis Tsimperidis

George A. Papakostas

George Broufas

Efthimia Mavridou

Theodore Pachidis

Lazaros Iliadis

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