George Ioannou

Marios Tzouvaras

Nerea Ibarrola Subiza

Ramon Brcic

Michael Eineder

Proceedings of the IGARSS 2024, 2024

2023

AdaLip: An Adaptive Learning Rate Method per Layer for Stochastic Optimization.

[BibT_eX]

[DOI]

Neural Process. Lett., October, 2023

Online Batch Selection for Enhanced Generalization in Imbalanced Datasets.

[BibT_eX]

[DOI]

Algorithms, February, 2023

Analyzing User Reviews in the Tourism & Cultural Domain - The Case of the City of Athens, Greece.

[BibT_eX]

[DOI]

Tasos Papagiannis

Konstantinos Michalakis

George Caridakis

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

The Issue of Baselines in Explainability Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Laurent Pantera

Petr Stulík

Antoni Vidal-Ferràndiz

Sensors, 2022

2021

Visual interpretability analysis of Deep CNNs using an Adaptive Threshold method on Diabetic Retinopathy images.

[BibT_eX]

[DOI]

Tasos Papagiannis

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019

Putting Together Wavelet-based Scaleograms and Convolutional Neural Networks for Anomaly Detection in Nuclear Reactors.

[BibT_eX]

[DOI]

Maria Sdraka

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence, 2019

Improving the Convergence Speed of Deep Neural Networks with Biased Sampling.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Advances in Artificial Intelligence, 2019

1998

A review of current research in manufacturing shop design integration.

[BibT_eX]

[DOI]