Michail S. Alexiou

According to our database, Michail S. Alexiou authored at least 24 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Kyrtos: A methodology for automatic deep analysis of graphic charts with curves in technical documents.

Michail S. Alexiou, Nikolaos G. Bourbakis

Pattern Recognit., 2025

A Preliminary Study on Extending the Apache Spark Framework for FPGA-Based Task Offloading.

Panagiotis Katsoudas, Michail S. Alexiou, Miltiadis Alamaniotis

Proceedings of the 16th International Conference on Information, 2025

BrainDil: Enhanced and Efficient Brain Tumor Classification in MRI Images Using Dilated Convolution.

Ryan Deem, Md Abdullah Al Hafiz Khan, Garrett Goodman, Michail S. Alexiou

Proceedings of the 16th International Conference on Information, 2025

Exploration of Few-Shot Learning with the Constrained State-Preserved Extreme Learning Machine.

Tyson Dancy, Michail S. Alexiou, Garrett Goodman

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Iteration, Mother of Transferability: A Study of Black-Box Iterative Adversarial Attacks Across CNNs and Vision Transformers.

Michail S. Alexiou, Sachin Sharma, Matthew S. Mickelson, J. Sukarno Mertoguno

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks.

Ryan Deem, Garrett Goodman, Waqas Majeed, Md Abdullah Al Hafiz Khan, Michail S. Alexiou

Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

Investigating the Transferability and Robustness of Adversarial Attacks Between Standard and Dilated CNN Architectures.

Sachin Sharma, Jiho Noh, Michail S. Alexiou

Proceedings of the Advanced Information Networking and Applications, 2025

2024

Abax: Extracting Mathematical Formulas from Chart Images Using Spatial Pixel Information.

Michail S. Alexiou, Nikolaos G. Bourbakis

Int. J. Artif. Intell. Tools, March, 2024

A Method for Fast Autonomy Transfer in Reinforcement Learning.

Dinuka Sahabandu, Bhaskar Ramasubramanian, Michail S. Alexiou, J. Sukarno Mertoguno, Linda Bushnell, Radha Poovendran

CoRR, 2024

Recent Advancements in Search-Engine Algorithms for Efficiency, Privacy and Security.

Jeremy Wolfe, Clark Pfohl, Hariharan Subramanian, J. Sukarno Mertoguno, Michail S. Alexiou

Proceedings of the 15th International Conference on Information, 2024

Analyzing the Impact of Preprocessing Techniques on the Efficiency and Accuracy of Sentiment Classification Algorithms.

Sai Nikhila Kanigiri, Chachi Mekuriyaw, Garrett Goodman, Michail S. Alexiou

Proceedings of the 15th International Conference on Information, 2024

Rapid Autonomy Transfer in Reinforcement Learning with a Single Pre- Trained Critic.

Muhammad Faraz Karim, Yunjie Deng, Luyao Niu, Bhaskar Ramasubramanian, Michail S. Alexiou, Dinuka Sahabandu, Radha Poovendran, J. Sukarno Mertoguno

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

Recognizing Binary Code Semantics Towards Achieving Software Segmentation.

Michail S. Alexiou, Zeezoo Ryu, Grace Abawe, J. Sukarno Mertoguno

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

2023

Behavioral analysis of bar charts in documents via stochastic petri-net modeling.

Michail S. Alexiou, Nikolaos G. Bourbakis

Pattern Recognit. Lett., December, 2023

Pinakas: A Methodology for Deep Analysis of Tables in Technical Documents.

Michail S. Alexiou, Nikolaos G. Bourbakis

Int. J. Artif. Intell. Tools, June, 2023

Not-in-Perspective: Towards Shielding Google's Perspective API Against Adversarial Negation Attacks.

Michail S. Alexiou, J. Sukarno Mertoguno

Proceedings of the 14th International Conference on Information, 2023

Automated Binary Program Partitioning through Structural Analysis.

Michail S. Alexiou, J. Sukarno Mertoguno

Proceedings of the 14th International Conference on Information, 2023

An Evaluation of Table Detection Methods in Document Images.

Michail S. Alexiou, Euripides G. M. Petrakis, Nikolaos G. Bourbakis

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

A Survey on Recent Advancements in Lightweight Generative Adversarial Networks, their Applications and Datasets.

Michail S. Alexiou, J. Sukarno Mertoguno

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2021

Deep Understanding of Technical Documents: An Enhancement on Diagrams Understanding.

Michail S. Alexiou, Nikolaos Gkorgkolis, J. Sukarno Mertoguno, Nikolaos G. Bourbakis

Int. J. Artif. Intell. Tools, 2021

Towards a Masked Face Recognition Algorithm: A Novel Rule Based Hybrid Algorithm.

Michail S. Alexiou, Iosif Papadakis Ktistakis, Garrett Goodman

Proceedings of the 6th South-East Europe Design Automation, 2021

An Evaluation of Methods on Detecting, Recognizing and Understanding Graphics Images in Technical Documents.

Michail S. Alexiou, Nikolaos G. Bourbakis

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Automatic Deep Understanding of Tables in Technical Documents.

Michail S. Alexiou, Nikolaos G. Bourbakis

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Elixir: An Agent for Supporting Elasticity in Docker Swarm.

Michail S. Alexiou, Euripides G. M. Petrakis

Proceedings of the Advanced Information Networking and Applications, 2020