24 citations · 47 across the 16 of their papers we have counts for
18 papers
Prototype-Rule Neurosymbolic Regularization for Rank-Constrained Tensor Neural Networks under Label Scarcity
Eftychios Protopapadakis, Konstantinos Makantasis, Konstantinos M. Giannoutakis
Rank-constrained tensor neural networks reduce the parameterization of high-order inputs, but they do not explicitly constrain class geometry in the learned representation. This st…
Outlier detection in maritime environments using AIS data and deep recurrent architectures
Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Doulamis
A methodology based on deep recurrent models for maritime surveillance, over publicly available Automatic Identification System (AIS) data, is presented in this paper. The setup em…
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets using Post-Heuristic Approaches
Konstantinos Pasvantis, Eftychios Protopapadakis
The application of deep learning models in medical diagnosis has showcased considerable efficacy in recent years. Nevertheless, a notable limitation involves the inherent lack of e…
Multi-scale Intervention Planning based on Generative Design
Ioannis Kavouras, Ioannis Rallis, Emmanuel Sardis +3
The scarcity of green spaces, in urban environments, consists a critical challenge. There are multiple adverse effects, impacting the health and well-being of the citizens. Small s…
A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation
Iason Katsamenis, Eftychios Protopapadakis, Nikolaos Bakalos +3
Recent studies indicate that deep learning plays a crucial role in the automated visual inspection of road infrastructures. However, current learning schemes are static, implying n…
Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques
Agapi Davradou, Eftychios Protopapadakis, Maria Kaselimi +2
Diabetic foot ulcers (DFUs) constitute a serious complication for people with diabetes. The care of DFU patients can be substantially improved through self-management, in order to…