Final Program

Energy and Environment
Natalia Selini Hadjidimitriou, Thorsten Koch, Milena Petkovic, Marco Lippi and Marco Mamei Analysis of the Impact of COVID-19 and Russo-Ukraine War on Natural Gas Transmission Using Time Series Forecasting Regular Main Conference
Fabio Turazza, Marcello Pietri, Natalia Hadjidimitriou and Marco Mamei Forecasting Energy Availability in Local Energy Communities via LSTM Federated Learning Regular Main Conference
Halima Amekran and Adel Noureddine Green IT and Sustainable Practices of Local Authorities in France (Online) Regular Main Conference
Gerald Kremer, Pia Maas, Sophie Schwartz, Morgan Geldenhuys and Rainer Stark Visual Analytics for Qualification Support of an Interpretable Machine Learning Application for Predictive Maintenance of Gas Turbine Blades Short Paper Main Conference
Recommendation Systems
Shera Potka, Isla Li, Jason Kepler and Alex Thomo Enhancing Structural Minority Visibility in Link Recommendations Regular Main Conference
Ngoc Luyen Le and Marie-Hélène Abel From Individual to Group: Developing a Context-Aware Multi-Criteria Group Recommender System Regular Main Conference
Nadia Ben Hadj Boubaker, Nadia Yacoubi Ayadi and Zahra Kodia Personalized E-Learning Knowledge Graph-based Recommender System using Ensemble Attention Networks Regular Main Conference
Antonio Becerra-Teron, Antonio Jesús Fernández-García and Azahara Martínez-Manzanares Optimizing Recommender Systems through Enhanced User-Item Pair Exchanges Regular Student Track
Social Networks and Emotion Recognition
Awatef Messaoudi, Hayet Boughrara and Zied Lachiri Assessing Pre-trained Transformer Models for Textual Emotion Sensing In Continuous Space Regular Main Conference
Ines Ramos, Gabriele Gianini and Ernesto Damiani Unlabeled Multimodal Datasets for Robust Emotion Recognition Regular Main Conference
Panteleimon Stanimeros and Alexandros Karakasidis Near: A Mobile Social Network for Finding Nearest Users with Privacy Preservation Short Paper Main Conference
Medical and Health issues
Mariem Haous and Raouia Mokni A Hybrid Deep Learning Model for Predicting the Mental Health States of Individuals from Digital Media Content to Prevent Suicide Regular Main Conference
Saman Fouladi, Gabriele Gianini, Deborah Fazzini, Alessandro Maiocchi, Ernesto Damiani, Sergio Papa and Marco Alì Advanced Prostate MRI Analysis: UNET-based Models for Zonal and Lesion Segmentation Regular Main Conference
Bachar Kachouh, Layth Sliman, Abed Ellatif Samhat and Kamel Barkaoui Data-Centric Security Model Based on Attribute-based cryptography For healthcare systems Regular Main Conference
Vincenza Carchiolo, Michele Malgeri and Lorenzo Spadaro Sapari A Conversational Agent for Handling Health Report Inquiries Short Paper Main Conference
Cybersecurity and Privacy
Sabri Allani, Karam Bou Chaaya and Helmi Rais ELISAR: An Adaptive Framework for Cybersecurity Risk Assessment Powered by GenAI Regular Main Conference
Manel Mena, José Andrés Asensio, Juan Alberto Llopis, Javier Criado and Nicolás Padilla Towards the Integration of Lightweight Components in Cyber-Physical Systems Regular Main Conference
Nafea Alhammadi, Mohamed Mabrouk and Mounir Zrigui A Distributed Multi-agent-based Deep Learning Model for Detecting DDoS Flooding Attacks in Cloud Computing Environment Short Paper Main Conference
Manuel Alves, Tiago Ribeiro, Anabela Marto, Alexandrino Gonçalves, Carlos Rabadão, Leonel Santos and Rogério Luís Costa Evaluating Service-based Privacy-Protection for Augmented Reality Applications Short Paper Main Conference
Data Mining Operations
Imen Ouled Dlala, Said Jabbour and Badran Raddaoui Boosting the Discovery of Interval Patterns using SAT Regular Main Conference
Antonios Kagias and Georgios Evangelidis Classification on Multi-label Data with Ordered Labels Regular Main Conference
Duha Al-Darras, Nesreen Hamad and Bashar Al-Shboul Exploring Clustering Improvement: A Comparative Study of Utilizing Metaheuristics and Initialization Strategies Regular Main Conference
Shahad Al-Khalifa and Hend Alkhalifa Understanding Users’ Behavior in Food Delivery Applications: The EBAI Conceptual Model for Clickstream-Based Segmentation Regular Main Conference
Parallel and Distributed Systems
Juan Alberto Llopis, Luis Iribarne, Javier Criado, Antonio Jesús Fernández García and Richard Chbeir rog Regular Main Conference
Vasileios Tsogkas and Georgia Koloniari Parallel Suffix Array Blocking for Efficient Entity Resolution based on Spark Regular Main Conference
Mohammad Hajarian Mars Button: Gamifying Asynchronous Communication for Enhanced User Engagement Across Digital Platforms Short Paper Main Conference
Nawel Hamdi, Chiraz El Hog, Raoudha Ben Djemaa and Layth Sliman Semantic SLA Ontology for Blockchain Smart Contract Short Paper Main Conference
Applications
Kento Yano, Koichiro Ito and Shohei Yokoyama Whose Smartphone? Pairing each Individual in the Panoramic Video with their Pespective Smartphone Regular Student Track
Ilef Ben Slima, Amel Borgi and Feriel Sellem Clustering and Association Rules Mining for Coral Reef Fish Distribution: A Data-Driven Approach in the Mediterranean Sea Short Paper Main Conference
Taija Kolehmainen, Reetta-Kaisa Ghezzi and Tommi Mikkonen Modeling Government Business Ecosystems with Ecosystem Governance Compass Short Paper Student Track
Bashar Al-Shboul and Reem Abudayah Stylometric Features Embedding for theTask of Author Attibution Short Paper Main Conference
Network Aspects
Maroun Ayli, Youssef El Bakouny, Hani Seifeddine, Nader Jalloul and Rima Kilany Enhancing UI Tests Robustness With Graph Convolutional Networks Regular Student Track
Rania Abidi, Wissem Inoubli and Mouhamed Ghaith Ayadi Leveraging Large Language Models (LLMs) to Match Job Offers with Candidate CVs Regular Main Conference
Gabriele Gianini, Francesca Cappitelli, Sara Goidanich, Fabrizio Passarini and Letizia Berti The Dual Role of Subaerial Biofilms through the Lens of AI: the case for Causal Networks and Targeted Learning Short Paper Main Conference

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