Titlebook: Machine Learning, Optimization, and Data Science; 9th International Co Giuseppe Nicosia,Varun Ojha,Renato Umeton Conference proceedings 202

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,A Machine Learning Approach for Source Code Similarity via Graph-Focused Features,e in many activities regarding software development and analysis which have the potential of assisting software teams working on large codebases. Existing approaches aim at computing similarity between two codes by suitable representation of them which captures syntactic and semantic properties. How

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,ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation,ncodes a range of challenges commonly encountered in real-world sequential decision making problems, such as uncertainty. It can be configured to instantiate problems of varying degrees of difficulty, e.g., in terms of variable dimensionality. Our benchmark differs from other reinforcement learning

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,Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Informationow-resource scenario, where there is very limited amount of high quality annotated data. In this paper we benchmark machine learning approaches for . that may be very effective in such cases, and compare their performance in a novel application; information extraction of research infrastructure from

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,Comparative Analysis of Machine Learning Models for Time-Series Forecasting of , Contamination in Pfish, posing a risk to human health. This can result in the reclassification of shellfish production areas or even prohibit harvesting, leading to significant economic losses. Therefore, it is crucial to establish effective strategies for predicting contamination of shellfish by the bacteria . (.).