Riccardo Crupi

30 papers A* 1C 1Journal 17Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advances on TSLies: Time Series AnomaLIES, an efficient machine learning based anomaly detection framework. Astron. Comput. Andrea Adelfio, Sara Cutini, Francesco Longo, Stefano Germani, Pasquale Lubrano, Riccardo Crupi, Simone Maldera
2025	J	`jnl`	Anomaly Detection in High-Dimensional Bank Account Balances via Robust Methods. CoRR Federico Maddanu, Tommaso Proietti, Riccardo Crupi
2025	C	`conf`	Anomaly Detection with Machine Learning on Time Series: Unveiling Lost Transients Data. PDP Andrea Adelfio, Riccardo Crupi, Sara Cutini, Stefano Germani, Francesco Longo, Pasquale Lubrano, Simone Maldera
2024	J	`jnl`	Counterfactual explanations as interventions in latent space. Data Min. Knowl. Discov. Riccardo Crupi, Alessandro Castelnovo, Daniele Regoli, Beatriz San Miguel González
2024	J	`jnl`	DTOR: Decision Tree Outlier Regressor to explain anomalies. CoRR Riccardo Crupi, Daniele Regoli, Alessandro Damiano Sabatino, Immacolata Marano, Massimiliano Brinis, Luca Albertazzi, Andrea Cirillo, Andrea Claudio Cosentini
2024	J	`jnl`	Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes. CoRR Riccardo Crupi
2024	J	`jnl`	Denoising ESG: quantifying data uncertainty from missing data with Machine Learning and prediction intervals. CoRR Sergio Caprioli, Jacopo Foschi, Riccardo Crupi, Alessandro Damiano Sabatino
2024	J	`jnl`	Disambiguation of company names via deep recurrent networks. Expert Syst. Appl. Alessandro Basile, Riccardo Crupi, Michele Grasso, Alessandro Mercanti, Daniele Regoli, Simone Scarsi, Shuyi Yang, Andrea Cosentini
2024	J	`jnl`	Evaluative Item-Contrastive Explanations in Rankings. Cogn. Comput. Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli
2024	J	`jnl`	HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts. CoRR Emmanuele Lacavalla, Shuyi Yang, Riccardo Crupi, Joseph E. Gonzalez
2024	—	`conf`	Unraveling Anomalies: Explaining Outliers with DTOR. xAI (Late-breaking Work, Demos, Doctoral Consortium) Riccardo Crupi, Daniele Regoli, Alessandro Damiano Sabatino, Immacolata Marano, Massimiliano Brinis, Luca Albertazzi, Andrea Cirillo, Andrea Claudio Cosentini
2023	—	`conf`	An Open-Source Toolkit to Generate Biased Datasets. EWAF Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli
2023	A*	`conf`	Bias On Demand: Investigating Bias with a Synthetic Data Generator. IJCAI Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini, Riccardo Crupi, Nicole Inverardi, Daniele Regoli
2023	—	`conf`	Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias. FAccT Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli
2023	J	`jnl`	Disambiguation of Company names via Deep Recurrent Networks. CoRR Alessandro Basile, Riccardo Crupi, Michele Grasso, Alessandro Mercanti, Daniele Regoli, Simone Scarsi, Shuyi Yang, Andrea Cosentini
2023	J	`jnl`	Evaluative Item-Contrastive Explanations in Rankings. CoRR Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli
2023	—	`conf`	Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper). AIABI@AI*IA Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Daniele Regoli
2023	—	`conf`	Preserving Utility in Fair Top-k Ranking with Intersectional Bias. BIAS Nicola Alimonda, Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica
2023	—	`conf`	Quantifying Credit Portfolio Sensitivity to Asset Correlations With Interpretable Generative Neural Networks. AIABI@AI*IA Sergio Caprioli, Emanuele Cagliero, Riccardo Crupi
2023	J	`jnl`	Quantifying Credit Portfolio sensitivity to asset correlations with interpretable generative neural networks. CoRR Sergio Caprioli, Emanuele Cagliero, Riccardo Crupi
2023	J	`jnl`	Searching for long faint astronomical high energy transients: a data driven approach. CoRR Riccardo Crupi, Giuseppe Dilillo, Elisabetta Bissaldi, Fabrizio Fiore, Andrea Vacchi
2022	—	`conf`	Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation. BEWARE@AI*IA Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini
2022	J	`jnl`	Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation. CoRR Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini
2022	—	`conf`	Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users. ICAART (2) Riccardo Crupi, Beatriz San Miguel González, Alessandro Castelnovo, Daniele Regoli
2021	J	`jnl`	BeFair: Addressing Fairness in the Banking Sector. CoRR Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González
2021	J	`jnl`	Counterfactual Explanations as Interventions in Latent Space. CoRR Riccardo Crupi, Alessandro Castelnovo, Daniele Regoli, Beatriz San Miguel González
2021	J	`jnl`	The zoo of Fairness metrics in Machine Learning. CoRR Alessandro Castelnovo, Riccardo Crupi, Greta Greco, Daniele Regoli
2020	—	`conf`	BeFair: Addressing Fairness in the Banking Sector. IEEE BigData Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González
2019	—	`conf`	An Ecological Studybased on Textile Sensory Platforms to Improve Safety and Well-Being at Work. EMBC Rita Paradiso, Riccardo Crupi, Maria Pacelli, Mark Saunder, Gabriel M. Cuervo
2015	—	`conf`	Preliminary evaluation of Wearable Wellness System for Obstructive Sleep Apnea detection. EMBC Riccardo Crupi, Tommaso Faetti, Rita Paradiso