Publications deriving from the scientific work conducted during project are available below:
GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors
Federico Sabbatini, Giovanni Ciatto & Andrea Omicini. International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems (EXTRAAMAS 2021), pp. 18-38. Available Here.
Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search
Andrea Agiollo, Giovanni Ciatto & Andrea Omicini. International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems (EXTRAAMAS 2021), pp. 63-82. Available Here.
Symbolic Knowledge Extraction from Opaque ML Predictors in PSyKE: Platform Design & Experiments
Federico Sabbatini, Giovanni Ciatto, Roberta Calegari & Andrea Omicini. 22nd Workshop “From Objects to Agents” (WOA 2021). Intelligenza Articiale, 16 (1), pp. 27-48. Available Here.
Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap
Andrea Agiollo, Giovanni Ciatto & Andrea Omicini. 22nd Workshop “From Objects to Agents” (WOA 2021). CEUR Workshop Proceedings. Available Here.
Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO
Federico Sabbatini & Roberta Calegari. Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning Applications and Systems (2022). Available Here.
Constrained Hardware Dimensioning for AI Algorithms
Allegra De Filippo & Andrea Borghesi. Frontiers in Artificial Intelligence and Applications (PAIS 2022). Available Here.
HADA: An Automated Tool for Hardware Dimensioning of AI Applications
Allegra De Filippo, Andrea Borghesi, Andrea Boscarino & Michela Milano. Knowledge-Based Systems (2022). Available Here.
Detecting Arguments in CJEU Decisions on Fiscal State Aid
Giulia Grundler, Piera Santin, Andrea Galassi, Federico Galli, Francesco Godano, Francesca Lagioia, Elena Palmieri, Federico Ruggeri, Giovanni Sartor & Paolo Torroni. Proceedings of the 9th Workshop on Argument Mining (2022). Available Here.
Multimodal Argument Mining: A Case Study in Political Debates
Eleonora Mancini, Federico Ruggeri, Andrea Galassi & Paolo Torroni. Proceedings of the 9th Workshop on Argument Mining (2022). Available Here.
A Privacy-Preserving Dialogue System Based on Argumentation
Bettina Fazzinga, Andrea Galassi & Paolo Torroni. Intelligent Systems with Applications (2022). Available Here.
Combining WordNet and Word Embeddings in Data Augmentation for Legal Texts
Sezen Percin, Andrea Galassi, Francesca Lagioia, Federico Ruggeri, Piera Santin, Giovanni Sartor & Paolo Torroni. Proceedings of the Natural Language Processing Workshop (2022). Available Here.
A Sentiment and Emotion Annotated Dataset for Bitcoin Price Forecasting Based on Reddit Posts
Pavlo Seroyizhko, Zhanel Zhexenova, Muhammad Zohaib Shafiq, Fabio Merizzi, Andrea Galassi & Federico Ruggeri. Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP 2022). Available Here.