Orestis Papadimitriou

According to our database1, Orestis Papadimitriou authored at least 11 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Real-Time Detection of Face Mask Usage Using Convolutional Neural Networks.
Comput., July, 2024

Advanced CNN Architectures for Improved Garbage Image Classification: An In-depth Evaluation.
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.
Proceedings of the Novel and Intelligent Digital Systems: Proceedings of the 4th International Conference, 2024

2023
Advancing Weather Image Classification Using Deep Convolutional Neural Networks.
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.
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.
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.
Proceedings of the 14th International Conference on Information, 2023

Enhancing Sign Language Recognition Using Deep Convolutional Neural Networks.
Proceedings of the 14th International Conference on Information, 2023

Enhancing Disease Diagnosis: A CNN-Based Approach for Automated White Blood Cell Classification.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Efficient comparison of sentence embeddings.
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.
Proceedings of the 7th South-East Europe Design Automation, 2022


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