Guido Bologna

HES-SO University of Applied Sciences and Arts Western Switzerland — Switzerland

Neuroscience · Life Sciences

21h-index1.8kcitations105works0.42yr avg
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Research Topics

Tactile and Sensory Interactions(26), Neural Networks and Applications(23), Multisensory perception and integration(15), Rough Sets and Fuzzy Logic(14), Fuzzy Logic and Control Systems(13)

Publications103 total

Enhancing the Interpretability of Rule-based Explanations through Information Retrieval
arXiv (Cornell University)·2025Open Access
766 Impact of Missing Data on AI Fairness for Breast Cancer Radiotherapy: Insights from the PRE-ACT Project
Radiotherapy and Oncology·2025
Fidex and FidexGlo: From Local Explanations to Global Explanations of Deep Models
Algorithms·2025Open Access
Fidex and FidexGlo: From Local Explanations to Global Explanations of Deep Models
Preprints.org·2025Open Access
PRE-ACT: Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification
Journal of Cancer Policy·2024· 1 cited
Physicians’ Views on Explainable Artificial Intelligence Models to Predict the Risk of Toxicity Following Breast Radiotherapy
International Journal of Radiation Oncology*Biology*Physics·2024
Development of an ai prediction model for arm lymphoedema following breast cancer surgery and radiotherapy
European Journal of Surgical Oncology·2024
Fidex: An Algorithm for the Explainability of Ensembles and SVMs
Lecture notes in computer science·2024· 1 cited
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion·2023· 164 citedOpen Access
Research Challenges in Trustworthy Artificial Intelligence and Computing for Health: The Case of the PRE-ACT project
2023
Transferring CNN Features Maps to Ensembles of Explainable Neural Networks
Information·2023Open Access
Explaining CNN Classifications by Propositional Rules Generated from DCT Feature Maps
Lecture notes in computer science·2022· 1 cited
A Rule Extraction Technique Applied to Ensembles of Neural Networks, Random Forests, and Gradient-Boosted Trees
Algorithms·2021· 19 citedOpen Access
Transparent Ensembles for Covid-19 Prognosis
Lecture notes in computer science·2021· 1 cited
A Two-Step Rule-Extraction Technique for a CNN
Electronics·2020· 13 citedOpen Access
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Neurocomputing·2020· 296 citedOpen Access
A Simple Convolutional Neural Network with Rule Extraction
Applied Sciences·2019· 26 citedOpen Access
Propositional Rules Generated at the Top Layers of a CNN
Lecture notes in computer science·2019· 3 cited
A Rule Extraction Study from SVM on Sentiment Analysis
Big Data and Cognitive Computing·2018· 18 citedOpen Access
A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs
Applied Computational Intelligence and Soft Computing·2018· 42 citedOpen Access
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Frequent Co-authors

Thierry Pun(18), Benoît Deville(8), Michel Vinckenbosch(7), Yoichi Hayashi(6), Juan Diego Gómez(4), Dimitrios Tzovaras(3), Christian Pellegrini(3), Séverine Cloix(3), Viviana Weiss(3), David Hasler(3), J. M. Górriz(2), Javier Ramı́rez(2), Andrés Ortíz(2), Francisco J. Martínez-Murcia(2), F. Segovia(2), Matthew Leming(2), Yudong Zhang(2), Ricardo Contreras(2), Richard J. Duro(2), Antonio Fernández‐Caballero(2)