113 citations · 131 across the 9 of their papers we have counts for
9 papers
Causal Discovery on Higher-Order Interactions
Alessio Zanga, Marco Scutari, Fabio Stella
Causal discovery combines data with knowledge provided by experts to learn the DAG representing the causal relationships between a given set of variables. When data are scarce, bag…
The Importance of Causality in Decision Making: A Perspective on Recommender Systems
Emanuele Cavenaghi, Alessio Zanga, Fabio Stella +1
Causality is receiving increasing attention in the Recommendation Systems (RSs) community, which has realised that RSs could greatly benefit from causality to transform accurate pr…
Using GPT-4 to guide causal machine learning
Anthony C. Constantinou, Neville K. Kitson, Alessio Zanga
Since its introduction to the public, ChatGPT has had an unprecedented impact. While some experts praised AI advancements and highlighted their potential risks, others have been cr…
Towards a Transportable Causal Network Model Based on Observational Healthcare Data
Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas +2
Over the last decades, many prognostic models based on artificial intelligence techniques have been used to provide detailed predictions in healthcare. Unfortunately, the real-worl…
Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach
Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas +4
Assessing the pre-operative risk of lymph node metastases in endometrial cancer patients is a complex and challenging task. In principle, machine learning and deep learning models…
The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study
Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas +4
Causal inference for testing clinical hypotheses from observational data presents many difficulties because the underlying data-generating model and the associated causal graph are…
A Survey on Causal Discovery: Theory and Practice
Alessio Zanga, Elif Ozkirimli, Fabio Stella
Understanding the laws that govern a phenomenon is the core of scientific progress. This is especially true when the goal is to model the interplay between different aspects in a c…
ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens
Giulia Cisotto, Andrea Trentini, Italo Zoppis +5
As the worldwide population gets increasingly aged, in-home telemedicine and mobile-health solutions represent promising services to promote active and independent aging and to con…
Comparison of Attention-based Deep Learning Models for EEG Classification
Giulia Cisotto, Alessio Zanga, Joanna Chlebus +3
Objective: To evaluate the impact on Electroencephalography (EEG) classification of different kinds of attention mechanisms in Deep Learning (DL) models. Methods: We compared three…