Program

The entire Workshop - except the Keynote talk - will be held in Room 0.03, Ground Floor, Folcara Campus

## Thursday, 7 May

9:00 - 9:30 Registration

9:30 – 10:00 Opening — Dept. Dean, UNICAS Eut+ representatives, Hichem Snoussi, Giovanni C Porzio

10:00 - 11:40 SESSION A — Statistical Foundations & Inference

10:00 – 10:20 Hichem Snoussi

Particle Filtering on Riemannian Manifolds

10:20 – 10:40 Houyem Demni

Cylindrical Data Clustering: a Robustness Point of View

10:40 – 11:00 Sebastian Döhler & Iqraa Meah

A unified class of null-proportion estimators with plug-in control

11:00 – 11:20 Demissie Alemayehu et al.

A Weighted Feature Selection Strategy for Integrating High-Dimensional Genomic and Low-Dimensional Clinical Data

11:20 – 11:40 Igor Nikiforov (online)

Sequential Detection of Transient Changes: New Bounds for the Operating Characteristics of the Finite Moving Average Test

11:40 – 12:10 Coffee break

12:10 - 13:30 SESSION B — Machine Learning & AI Applications

12:10 – 12:30 Fjodorovs & Fjodorova

Copula-Based First-Passage Algorithms for Financial Derivative Pricing

12:30 – 12:50 Abdul Rahman et al.

Gait Analysis and Circular Statistics: Improving Parkinson’s Disease Diagnostics

12:50 – 13:10 Ciro Russo; Bria; Marrocco

A Data-Centric Evaluation of GravityNet for Nuclei Detection in Computational Cytology

13:10 – 13:30 Makombe; Balzano; Demni; Porzio, University of Cassino and Southern Lazio

Policies to foster the use of sustainable mobility tools: an empirical analysis

13:30 – 14:30 Light Lunch

14:30 – 15:30 UNICAS Main Hall - and streamed online on  unicas.it/live 

KEYNOTE — Javier Cabrera, Rutgers University

AI methodology that competes with some of the statistical methodology

15:30 - 16:30 SESSION C — Explainable AI, Fairness & Trustworthy AI

15:30 – 15:50 Horst Zisgen, Hochschule Darmstadt

A statistical view on explaining AI methods for saliency maps

15:50 – 16:10 Chiara Marciano & Guarracino

Fairness and Bias in AI-Based Credit Scoring

16:10 – 16:30 Anca Marginean & Adrian Groza

From ML Predictions to Informed Diagnostic Assistance using the Toulmin model of Argumentation

16:30 – 17:00 Coffee break

17:00 - 18:00 SESSION D — AI in Higher Education

17:00 – 17:20 Karolina Hance

Using Generative Artificial Intelligence to Support Educators' Work in Higher Education: Opportunities, Applications, and Challenges

17:20 – 17:40 Sirine Ben Mansour et al.

Evaluating Causal Explanations in Large Language Models: a Student Perspective

17:40 – 18:00 Luis Miralles et al.

ChatGPT in Education: Challenges, Risks, and Opportunities for Academic Integrity

18:00 – 18:30 Open discussion: Teaching Data Science in the AI Era

20:30 KEYDINNER @ La Vecchia Pesa, Via Domenico Cimarosa interno parco Baden Powell, 03043, Cassino 

  Let's go pizza :) - please inform your will to participate upon your arrival at the registration desk.

## Friday, 8 May

8:30 - 9:30 SESSION E (Online) - Applied Data Analysis & AI Real-World Applications

8:30 – 8:50 Pascucci; Balzano; Pop, University of Cassino and Southern Lazio, Technical University of Cluj-Napoca

Sustainable Mobility Transitions in Academic Hubs: A PLS-SEM Analysis of Student Intentions in Baia Mare

8:50 – 9:10 Esvanth Mohankumar, National College Of Ireland

AI AgroCraft Robotics: A Neuro-Enhanced Architecture for Autonomous Multi-Agent Smart Agriculture in 2040

9:10 – 9:30 Rashmi Manjunath, National College Of Ireland

Retrieval-Augmented AI Assistants for Product Documentation Analysis: Supporting Data-Driven Product Backlog Decisions

09:40 - 11:30 SESSION F - Networks & AI Real-World Applications

9:40 – 10:00 Puneet Warathe, National College Of Ireland

Design and Evaluation of a Machine Learning-Enabled Agentic AI System for Generating AI Adoption Roadmaps for SMEs in the Food and Beverage Sector

10:00 – 10:20 Bernhardt & Guarracino, University of Cassino and Southern Lazio

Extending Quota-Based Centrality to Bipartite Trade Networks

10:20 – 10:40 Chetan Dinesh Panchal, National College of Ireland

AI Driven Personalized Property Recommendation and Emerging Location Prediction Using Machine Learning and Data Analytics

10:40 – 11:00 Portase & Potolea, Technical University of Cluj-Napoca

Leveraging IoT data to solve real-world problems

11:00 – 11:30 Coffee break

11:30 - 13:30 SESSION G - Data Analysis, Machine Learning & AI Applications

11:30 – 11:50 Slavescu; Tabulac; Slavescu, Technical University of Cluj-Napoca

Colonoscopic Video Sequence Segmentation with ConvNeXt and KAN — A Statistical Evaluation

11:50 – 12:10 Antonesi; Cioara; Danciulescu, Technical University of Cluj-Napoca

Hybrid TCN-Transformer Model with Local and ProbSparse Attention for Energy Forecasting

12:10 – 12:30 Susanna Bravi; Tieri; Santoro, Istituto per le Applicazioni del Calcolo ‘Mauro Picone’, CNR

BORIS: Bot Obviously Re-wrItes SBML. Automated Generation of Biologically Grounded Pathway Annotations from SBML via Code-Specialized LLM

12:30 – 12:50 Heaney; Hickey; Murphy; Purcell, Technological University Dublin

An Exploratory Analysis of Pathology Test Ordering at St. Vincent’s University Hospital

12:50 – 13:10 Chris Gomes

Predicting Click-Through Rate in Multi-Channel Digital Advertising Using Machine Learning Models

13:10 – 13:30 Mohammed; Bernhardt; Guarracino, University of Cassino and Southern Lazio

A Statistical Analysis of Social, Economic, and Financial Indicators Impacting Municipal Wealth in Italy

13:30 – 14:30 Lunch

14:30 – 16:00 Wrap-up session — EUt+ ERG in Data Science: future initiatives