GreenAI@AIxIA 2024
Green-Aware Artificial Intelligence 2024

Table of Contents

• Preface
  Summary: There were a total of 8 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 4 as regular papers and 3 as short papers.

• Exploiting Outlier Explanation to Unveil Key-aspects of High Green Comparative Advantage Nations 1--10
  Fabrizio Angiulli , Fabio Fassetti , Simona Nisticò , Luigi Palopoli
• On the Environmental Impact of the Algorithm LatentOut for Unsupervised Anomaly Detection (SHORT PAPER) 11--18
  Fabrizio Angiulli , Fabio Fassetti , Luca Ferragina
• A Lightweight Meta-Feature Extraction Strategy for Deep Reinforcement Anomaly Detection (SHORT PAPER) 19--23
  Simone Amirato , Fabrizio Angiulli , Fabio Fassetti , Luca Ferragina
• DPET: A Data and Parameter Efficient Training Framework for Green AI (SHORT PAPER) 24--28
  Francesco Scala , Luigi Pontieri , Sergio Flesca
• Enhancing the Evaluation of Fault Detection Models in Smart Agriculture Using LLM Agents for Rule-Based Anomaly Generation 29--39
  Paolo Lindia , Riccardo Cantini , Francesco Bettucci , Luigi Sartori , Paolo Trunfio
• A Declarative Framework for Temporal Reasoning in Green-Aware Applications 40--49
  Giuseppe De Giacomo , Valeria Fionda , Nicola Gigante , Antonio Ielo , Francesco Ricca , Alessandra Russo ,
• Optimizing Photosensor Placement for Energy-Efficient Lighting in Sustainable Building Design based on Multivariate Long Short-Term Memory Models 50--59
  Giacomo Potenza , Cristina Baglivo , Marina Bonomolo , Patrizia Ribino