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Titlebook: Distributed Computing and Artificial Intelligence, 17th International Conference; Yucheng Dong,Enrique Herrera-Viedma,Sara Rodríguez Confe

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The European Economy in 100 Quotesuss the results of a preliminary experimental evaluation of our approach, trained with the dataset of all the submissions in the Italian National Online Judge, used to train students for the Italian Olympiads in Informatics.
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SMARTSEC4COP: Smart Cyber-Grooming Detection Using Natural Language Processing and Convolutional Neith his development described. The model predicts a high number of false positives, therefore low precision and F-score, but a high 88.4% accuracy and 0.81 AUROC (Area under the Receiver Operating Characteristic).
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Two Agent-Oriented Programming Approaches Checked Against a Coordination Problem,lemented multi-agent systems. In order to devise a quantitative comparison, the two considered languages are used to solve the same coordination problem, and obtained implementations are compared to discuss advantages and drawbacks of the two approaches.
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A Lightweight Pedestrian Detection Model for Edge Computing Systems,mework can effectively reduce the miss rate of the YOLO-tiny detection model from 48.8% to 26.2% while achieving an inference speed of 31 frames per second (FPS) tested on the Caltech pedestrian dataset.
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Collaborative Recommendations in Online Judges Using Autoencoder Neural Networks,uss the results of a preliminary experimental evaluation of our approach, trained with the dataset of all the submissions in the Italian National Online Judge, used to train students for the Italian Olympiads in Informatics.
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Morphometric Characteristics in Discrete Domain for Brain Tumor Recognition, and High Grade (HG), in which the LG group is composed of grade I and II brain tumors, while the HG group is composed of grades III and IV brain tumors [.]. This paper focuses on the morphometric analysis of brain tumors and the study of the correlation of tumor shape with its degree of malignancy.
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