Lazaros Iliadis

Democritus University of Thrace

Greece

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Articles (17)

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

Year:

2022

Collaborators (10)

Eleni Vrochidou

Researcher/ Lecturer

International Hellenic University

GREECE

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Christos Akratos

Associate Professor

Demokriteio Panepistemio Thrakes Polytechnike Schole

GREECE

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Ioannis Kavvadias

Assistant Professor

Democritus University of Thrace

GREECE

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Ioannis Dokas

Associate Professor

Democritus University of Thrace

GREECE

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KONSTANTINOS RANTOS

Assoc. Professor

International Hellenic University

GREECE

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George Broufas

Associate Professor

Democritus University of Thrace

GREECE

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Giorgos Mallinis

Associate Professor

Aristotle University of Thessaloniki

GREECE

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Eugenia Bezirtzoglou

Democritus University of Thrace

GREECE

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Efthimia Mavridou

Democritus University of Thrace

GREECE

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Irene Chrysafis

Aristotle University of Thessaloniki

GREECE

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Lazaros Iliadis

Research Interests

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Contact this professor

Articles (17)

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

Seismic Response Prediction of Rigid Rocking Structures Using Explainable LightGBM Models

Investigation of Structural Seismic Vulnerability Using Machine Learning on Rapid Visual Screening

Rapid Visual Screening Feature Importance for Seismic Vulnerability Ranking via Machine Learning and SHAP Values

Analytical Equations for the Prediction of the Failure Mode of Reinforced Concrete Beam–Column Joints Based on Interpretable Machine Learning and SHAP Values

Derivation of Analytical Equations for the Fundamental Period of Framed Structures Using Machine Learning and SHAP Values

Machine Learning Ensemble Methodologies for the Prediction of the Failure Mode of Reinforced Concrete Beam–Column Joints

Interpretable Machine Learning for Assessing the Cumulative Damage of a Reinforced Concrete Frame Induced by Seismic Sequences

A Cross-Modal Dynamic Attention Neural Architecture to Detect Anomalies in Data Streams from Smart Communication Environments

A Secure and Privacy-Preserving Blockchain-Based XAI-Justice System

Federated Auto-Meta-Ensemble Learning Framework for AI-Enabled Military Operations

A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations

Special Issue “Advance in Machine Learning”

Machine Learning Algorithms for the Prediction of the Seismic Response of Rigid Rocking Blocks

Structural Damage Prediction of a Reinforced Concrete Frame under Single and Multiple Seismic Events Using Machine Learning Algorithms

Establishment of a Risk and Resilience Assessment Center in the Region of East Macedonia and Thrace in Greece: The Wildfire Hazard Module

Fuzzy Algebraic Modeling of Spatiotemporal Timeseries’ Paradoxes in Cosmic Scale Kinematics

Collaborators (10)

Eleni Vrochidou

Christos Akratos

Ioannis Kavvadias

Ioannis Dokas

KONSTANTINOS RANTOS

George Broufas

Giorgos Mallinis

Eugenia Bezirtzoglou

Efthimia Mavridou

Irene Chrysafis

Make your next move.

Lazaros Iliadis

Research Interests

Explore related searches

Contact this professor

Articles (17)

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

Seismic Response Prediction of Rigid Rocking Structures Using Explainable LightGBM Models

Investigation of Structural Seismic Vulnerability Using Machine Learning on Rapid Visual Screening

Rapid Visual Screening Feature Importance for Seismic Vulnerability Ranking via Machine Learning and SHAP Values

Analytical Equations for the Prediction of the Failure Mode of Reinforced Concrete Beam–Column Joints Based on Interpretable Machine Learning and SHAP Values

Derivation of Analytical Equations for the Fundamental Period of Framed Structures Using Machine Learning and SHAP Values

Machine Learning Ensemble Methodologies for the Prediction of the Failure Mode of Reinforced Concrete Beam–Column Joints

Interpretable Machine Learning for Assessing the Cumulative Damage of a Reinforced Concrete Frame Induced by Seismic Sequences

A Cross-Modal Dynamic Attention Neural Architecture to Detect Anomalies in Data Streams from Smart Communication Environments

A Secure and Privacy-Preserving Blockchain-Based XAI-Justice System

Federated Auto-Meta-Ensemble Learning Framework for AI-Enabled Military Operations

A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations

Special Issue “Advance in Machine Learning”

Machine Learning Algorithms for the Prediction of the Seismic Response of Rigid Rocking Blocks

Structural Damage Prediction of a Reinforced Concrete Frame under Single and Multiple Seismic Events Using Machine Learning Algorithms

Establishment of a Risk and Resilience Assessment Center in the Region of East Macedonia and Thrace in Greece: The Wildfire Hazard Module

Fuzzy Algebraic Modeling of Spatiotemporal Timeseries&rsquo; Paradoxes in Cosmic Scale Kinematics

Collaborators (10)

Eleni Vrochidou

Christos Akratos

Ioannis Kavvadias

Ioannis Dokas

KONSTANTINOS RANTOS

George Broufas

Giorgos Mallinis

Eugenia Bezirtzoglou

Efthimia Mavridou

Irene Chrysafis

Make your next move.

Fuzzy Algebraic Modeling of Spatiotemporal Timeseries’ Paradoxes in Cosmic Scale Kinematics