Nicosia Machine Learning, Optimization, and Data Science

Machine Learning, Optimization, and Data Science

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11th International Conference, LOD 2025, Castiglione della Pescaia, Italy, September 21–24, 2025, Revised Selected Papers, Part II

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Beschreibung

The two-volume set LNCS 16467-16468 constitutes the refereed proceedings of the 11th International Conference on Machine Learning, Optimization, and Data Science, LOD 2025, held in Castiglione della Pescaia, Italy, during September 21-24, 2025.
The 58 full papers included in this book were carefully reviewed and selected from 180 submissions. They focus on machine learning, deep learning, AI, computational optimization, neuroscience and big data that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.


Autor*in

Giuseppe Nicosia

Themen in »Machine Learning, Optimization, and Data Science«

Deep Learning Reinforcement Learning Neural Networks Deep Reinforcement Learning Optimization Global Optimization Multi-Objective Optimization Computational Optimization Data Science Big Data Data Analytics Generative Artificial Intelligence Neuroscience Cognitive Science Computational Neuroscience

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Details

ISBN: 9783032214805
Verlag: Springer International Publishing
Erscheinung: 27.05.2026

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