Athanasios Kanavos

According to our database, Athanasios Kanavos authored at least 21 papers between 2022 and 2026.

Collaborative distances:

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

2026

Guest Editorial: Special Issue on Mining of Humanistic Data (Part II).

Athanasios Kanavos, Katia Lida Kermanidis, Christos Makris, Phivos Mylonas, Spyros Sioutas

Int. J. Artif. Intell. Tools, February, 2026

2025

Optimized Neural Network Architectures for Brain Tumor Classification and Precision Medicine.

Orestis Papadimitriou, Athanasios Kanavos, Manolis Maragoudakis, Ioannis Karamitsos

Int. J. Artif. Intell. Tools, September, 2025

LegNER: a domain-adapted transformer for legal named entity recognition and text anonymization.

Ioannis Karamitsos, Nikolaos Roufas, Khalil Al-Hussaeni, Athanasios Kanavos

Frontiers Artif. Intell., 2025

Integrating Attention Mechanisms into Convolutional Neural Networks for Image Classification.

Gerasimos Vonitsanos, Emmanouela-Electra Economopoulou, Spyros Sioutas, Athanasios Kanavos, Phivos Mylonas

Proceedings of the 10th South-East Europe Design Automation, 2025

Designing and Regularizing Deep CNN Architectures for Dog Versus Cat Image Classification.

Athanasios Kanavos, Gerasimos Vonitsanos, Manolis Maragoudakis, Phivos Mylonas

Proceedings of the Novel and Intelligent Digital Systems: Proceedings of the 5th International Conference, 2025

Do Deeper Layers Explain Better? An LID-Based Study of Transformer Explainability.

Nikolaos Roufas, Athanasios Kanavos, Ioannis Karamitsos, Khalil Al-Hussaeni, Manolis Maragoudakis

Proceedings of the IEEE International Conference on Big Data, 2025

Thyroid Nodule Classification Using Convolutional Neural Networks in Ultrasound Imaging.

Athanasios Kanavos, Ioannis Karamitsos, Manolis Maragoudakis

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2025 IFIP WG 12.5 International Workshops, 2025

2024

Real-Time Detection of Face Mask Usage Using Convolutional Neural Networks.

Athanasios Kanavos, Orestis Papadimitriou, Khalil Al-Hussaeni, Manolis Maragoudakis, Ioannis Karamitsos

Comput., July, 2024

Enhancing Emotion Classification with a Hybrid BERT and CNN Architecture.

Orestis Papadimitriou, Athanasios Kanavos, Gerasimos Vonitsanos, Manolis Maragoudakis, Panagiotis Karkazis, Phivos Mylonas

Proceedings of the 19th International Workshop on Semantic and Social Media Adaptation & Personalization, 2024

Advanced CNN Architectures for Improved Garbage Image Classification: An In-depth Evaluation.

Athanasios Kanavos, Orestis Papadimitriou, Gerasimos Vonitsanos, Manolis Maragoudakis, Phivos Mylonas

Proceedings of the 9th South-East Europe Design Automation, 2024

Advancing Sentiment Analysis of IMDB Movie Reviews with a Hybrid Multinomial Naive Bayes and LSTM Approach.

Orestis Papadimitriou, Athanasios Kanavos, Gerasimos Vonitsanos, Manolis Maragoudakis, Phivos Mylonas

Proceedings of the Novel and Intelligent Digital Systems: Proceedings of the 4th International Conference, 2024

A Comparative Study of Sentiment Analysis on Twitter and Reddit Using Deep Learning Techniques.

Orestis Papadimitriou, Athanasios Kanavos, Manolis Maragoudakis, Vassilis C. Gerogiannis

Proceedings of the 2024 8th International Conference on Algorithms, Computing and Systems, 2024

Analyzing Deep Learning Techniques in Natural Scene Image Classification.

Athanasios Kanavos, Orestis Papadimitriou, Khalil Al-Hussaeni, Ioannis Karamitsos, Manolis Maragoudakis

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Advancing Weather Image Classification Using Deep Convolutional Neural Networks.

Orestis Papadimitriou, Athanasios Kanavos, Phivos Mylonas, Manolis Maragoudakis

Proceedings of the 18th International Workshop on Semantic and Social Media Adaptation and Personalization, 2023

Enhancing COVID-19 Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks.

Athanasios Kanavos, Orestis Papadimitriou, Manolis Maragoudakis

Proceedings of the 18th International Workshop on Semantic and Social Media Adaptation and Personalization, 2023

Classification of Alzheimer's Disease Subjects from MRI Using Deep Convolutional Neural Networks.

Orestis Papadimitriou, Athanasios Kanavos, Phivos Mylonas, Manolis Maragoudakis

Proceedings of the Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023), 2023

Automated Pneumonia Detection from Chest X-Ray Images Using Deep Convolutional Neural Networks.

Orestis Papadimitriou, Athanasios Kanavos, Manolis Maragoudakis

Proceedings of the 14th International Conference on Information, 2023

Enhancing Sign Language Recognition Using Deep Convolutional Neural Networks.

Athanasios Kanavos, Orestis Papadimitriou, Phivos Mylonas, Manolis Maragoudakis

Proceedings of the 14th International Conference on Information, 2023

Enhancing Disease Diagnosis: A CNN-Based Approach for Automated White Blood Cell Classification.

Athanasios Kanavos, Orestis Papadimitriou, Alexios Kaponis, Manolis Maragoudakis

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Efficient comparison of sentence embeddings.

Spyros Zoupanos, Stratis Kolovos, Athanasios Kanavos, Orestis Papadimitriou, Manolis Maragoudakis

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Breast Cancer Classification of Histopathological Images using Deep Convolutional Neural Networks.

Athanasios Kanavos, Efstratios Kolovos, Orestis Papadimitriou, Manolis Maragoudakis

Proceedings of the 7th South-East Europe Design Automation, 2022