AIxIA-DC 2023
AIxIA Doctoral Consortium 2023

Table of Contents

• Preface
  Summary: There were 25 papers submitted. Out of these, 20 papers were accepted for this volume, 0 as regular papers and 20 as short papers.

Session 1: November, 6 , 2023

• RBF Based NN Architecture for Structural Health Analysis of Railway Steel Bridges (Short paper)
  Muhammad Asad, Giovanni De Gasperis, Stefania Costantini
• Neural Network Heuristics for Numeric Planning: A Preliminary Study (Abstract)
  Valerio Borelli, Alfonso Emilio Gerevini, Enrico Scala, Ivan Serina
• Neuro-Symbolic Recommender Systems (Short paper)
  Tommaso Carraro
• Specification Languages and ASP-based Solutions for Scheduling Problems in Healthcare (Short paper)
  Simone Caruso
• XAI-DAOs: Decentralised Autonomous Organisations with Explainable Intelligence (Short paper)
  Sante Dino Facchini
• Knowledge Graph Completion with Probabilistic Logic Programming (Short paper)
  Elisabetta Gentili
• Migratable AI Systems for Tailoring User Experience through Multimodal Affective-Cognitive State Analysis (Short paper)
  Ludovica La Monica
• Monte Carlo Tree Search with State Merging for Reinforcement Learning in Regular Decision Processes (Short paper)
  Gabriel Paludo Licks
• Machine Learning-Based Prediction of Bio-Oil Yields from Pyrolysis of Biomass: A Comparative Study of Imputation Algorithms and Model Benchmarking (Short paper)
  Antonio Elia Pascarella
• Bridging Causal Theory and LLMs: A User Centric Approach to Causal Graph Generation (Short paper)
  Daniele Potertì
• Skills-Hunter: Adapting Large Language Models to the Labour Market for Skills Extraction (Short paper)
  Antonio Serino

Session 2: November, 7 , 2023

• Knowledge Distillation for a Domain-Adaptive Visual Recommender System (Short paper)
  Alessandro Abluton
• Analysing Open-Ended Questions in ESPAD-MedSPAD Bridge Project: a Manually Labelled Dataset (Short paper)
  Giada Anastasi, Corrado Fizzarotti, Lorenzo Nelli, Rodolfo Cotichini, Elisa Benedetti, Claudia Luppi, Sabrina Molinaro
• Continual Learning: an Approach via Feature Maps Extrapolation (Short paper)
  Edoardo De Rose
• Evaluating the Aspect-Category-Opinion-Sentiment Task on a Custom Dataset (Short paper)
  Loris Di Quilio
• Autoencoder with Dual Loss Function for Follow-up Estimation (Short paper)
  Marco Dossena, Christopher Irwin
• Supervised Bias Detection in Transformers-based Language Models (Short paper)
  Michele Dusi, Alfonso Emilio Gerevini, Luca Putelli, Ivan Serina
• Towards an Evaluation Framework for Indoor Recommender Systems (Short paper)
  Alessio Ferrato
• Monocular 3D Object Detection in Roadside Settings: Extending Data and Enhancing Models (Short paper)
  Sondos Mohamed
• Symbiotic Conversational Recommender Systems: A New Approach to Improving Transparency and Persuasion (Short paper)
  Alessandro Petruzzelli
• Optimized GNC Techniques for Service Robotics (Short paper)
  Romisaa Ali