Fabio Stella - RankMe

100 papers A* 1A 6B 4C 4Journal 53Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Causal Discovery Workflow for Rare Diseases: Experts-in-the-Loop Analysis of Sparse Longitudinal Data. J. Medical Syst. Niccolò Rocchi, Alessio Zanga, Alice Bernasconi, Alessandro Gronchi, Dario Callegaro, Alessandra Borghi, Paolo Giovanni Casali, Salvatore Provenzano, Rosalba Miceli, Annalisa Trama, Fabio Stella
2026	J	`jnl`	FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios. CoRR Andrea Moleri, Christian Internò, Ali Raza, Markus Olhofer, David A. Klindt, Fabio Stella, Barbara Hammer
2026	J	`jnl`	On the Relationship between Bayesian Networks and Probabilistic Structural Causal Models. CoRR Peter J. F. Lucas, Eleanora Zullo, Fabio Stella
2025	J	`jnl`	A Guide to Bayesian Networks Software Packages for Structure and Parameter Learning - 2025 Edition. CoRR Joverlyn Gaudillo, Nicole Astrologo, Fabio Stella, Enzo Acerbi, Francesco Canonaco
2025	J	`jnl`	Causal Discovery on Higher-Order Interactions. CoRR Alessio Zanga, Marco Scutari, Fabio Stella
2025	J	`jnl`	Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity. CoRR Francesco Stranieri, Chaaben Kouki, Willem van Jaarsveld, Fabio Stella
2025	—	`conf`	DBNcare: Towards an R Package for Dynamic Bayesian Networks Application in Healthcare. AIME (2) Francesco Canonaco, Federico Pirola, Fabio Stella
2025	J	`jnl`	Expert-Guided POMDP Learning for Data-Efficient Modeling in Healthcare. CoRR Marco Locatelli, Arjen Hommersom, Roberto Clemens Cerioli, Daniela Besozzi, Fabio Stella
2025	J	`jnl`	Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation. CoRR Christian Internò, Andrea Castellani, Sebastian Schmitt, Fabio Stella, Barbara Hammer
2025	J	`jnl`	LUME-DBN: Full Bayesian Learning of DBNs from Incomplete data in Intensive Care. CoRR Federico Pirola, Fabio Stella, Marco Grzegorczyk
2025	J	`jnl`	Multi-armed bandits for performance marketing. Int. J. Data Sci. Anal. Marco Gigli, Fabio Stella
2025	A	`conf`	Towards Privacy-Aware Bayesian Networks: A Credal Approach. ECAI Niccolò Rocchi, Fabio Stella, Cassio de Campos
2025	J	`jnl`	Towards Privacy-Aware Bayesian Networks: A Credal Approach. CoRR Niccolò Rocchi, Fabio Stella, Cassio de Campos
2024	A	`conf`	Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed Rewards. UAI Marco Gigli, Fabio Stella
2024	J	`jnl`	Causal Discovery in Recommender Systems: Example and Discussion. CoRR Emanuele Cavenaghi, Fabio Stella, Markus Zanker
2024	J	`jnl`	DL-based multi-artifact EEG denoising exploiting spectral information. Intelligenza Artificiale Matteo Gabardi, Aurora Saibene, Francesca Gasparini, Daniele Rizzo, Fabio Stella
2024	J	`jnl`	Performance of deep reinforcement learning algorithms in two-echelon inventory control systems. Int. J. Prod. Res. Francesco Stranieri, Fabio Stella, Chaaben Kouki
2024	—	`ed.`	Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024) co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), Bolzano, Italy, 27-28 November 2024. HC@AIxIA Francesco Calimeri, Mauro Dragoni, Fabio Stella
2024	—	`conf`	Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment. HC@AIxIA Marco Locatelli, Roberto Clemens Cerioli, Daniela Besozzi, Arjen Hommersom, Fabio Stella
2024	J	`jnl`	Special issue on learning from multiple data sources for decision making in health care. J. Biomed. Informatics Fabio Stella, Francesco Calimeri, Mauro Dragoni
2024	—	`conf`	The Importance of Causality in Decision Making: A Perspective on Recommender Systems (Short paper). DP@AI*IA Emanuele Cavenaghi, Alessio Zanga, Fabio Stella, Markus Zanker
2024	J	`jnl`	The Importance of Causality in Decision Making: A Perspective on Recommender Systems. CoRR Emanuele Cavenaghi, Alessio Zanga, Fabio Stella, Markus Zanker
2024	J	`jnl`	Towards a Causal Decision-Making Framework for Recommender Systems. Trans. Recomm. Syst. Emanuele Cavenaghi, Alessio Zanga, Fabio Stella, Markus Zanker
2023	J	`jnl`	A Survey on Causal Discovery: Theory and Practice. CoRR Alessio Zanga, Fabio Stella
2023	J	`jnl`	A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems. Trans. Recomm. Syst. Emanuele Cavenaghi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
2023	—	`conf`	Analysis of Relevant Factors in Online Hotel Recommendation Through Causal Models. RecTour@RecSys Emanuele Cavenaghi, Alessio Zanga, Alessandro Rimoldi, Paolo Minasi, Markus Zanker, Fabio Stella
2023	C	`conf`	Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks. TIME Alessandro Bregoli, Karin Rathsman, Marco Scutari, Fabio Stella, Søren Wengel Mogensen
2023	J	`jnl`	Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks. CoRR Alessandro Bregoli, Karin Rathsman, Marco Scutari, Fabio Stella, Søren Wengel Mogensen
2023	B	`conf`	Causal Discovery with Missing Data in a Multicentric Clinical Study. AIME Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2023	J	`jnl`	Causal Discovery with Missing Data in a Multicentric Clinical Study. CoRR Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2023	—	`conf`	Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains. PKDD/ECML Workshops (4) Francesco Stranieri, Fabio Stella
2023	J	`jnl`	Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers. Int. J. Approx. Reason. Carlos Villa-Blanco, Alessandro Bregoli, Concha Bielza, Pedro Larrañaga, Fabio Stella
2023	—	`conf`	Drug Inventory Control: Human Decisions Versus Deep Reinforcement Learning (short paper). AIABI@AI*IA Francesco Stranieri, Alberto Archetti, Enrico Robbiano, Chaaben Kouki, Fabio Stella
2023	—	`ed.`	Proceedings of the 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), Rome, Italy, 08 November 2023. HC@AIxIA Francesco Calimeri, Mauro Dragoni, Fabio Stella
2023	J	`jnl`	Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach. CoRR Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2023	J	`jnl`	Towards a Transportable Causal Network Model Based on Observational Healthcare Data. CoRR Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio Stella
2023	J	`jnl`	Unity is strength: Improving the detection of adversarial examples with ensemble approaches. Neurocomputing Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi
2022	—	`ed.`	1st AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2022) co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), Udine, Italy, November 30 2022. HC@AIxIA Francesco Calimeri, Mauro Dragoni, Fabio Stella
2022	J	`jnl`	A Survey on Causal Discovery: Theory and Practice. Int. J. Approx. Reason. Alessio Zanga, Elif Ozkirimli, Fabio Stella
2022	—	`conf`	An Analysis of User Click Behaviour in Online Hotel Search. IIR Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
2022	—	`conf`	An Online Experiment of a Price-Based Re-Rank Algorithm. RecTour@RecSys Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
2022	J	`jnl`	Deep Reinforcement Learning for a Two-Echelon Supply Chain with Seasonal Demand. CoRR Francesco Stranieri, Fabio Stella
2022	—	`conf`	Parametric Bandits for Search Engine Marketing Optimisation. PAKDD (3) Marco Gigli, Fabio Stella
2022	J	`jnl`	Picture-based and conversational decision support to diagnose post-harvest apple diseases. Expert Syst. Appl. Gabriele Sottocornola, Sanja Baric, Maximilian Nocker, Fabio Stella, Markus Zanker
2022	—	`conf`	Risk Assessment of Lymph Node Metastasis in Endometrial Cancer Patients: A Causal Approach. HC@AIxIA Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2022	—	`conf`	Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers. PGM Carlos Villa-Blanco, Alessandro Bregoli, Concha Bielza, Pedro Larrañaga, Fabio Stella
2021	J	`jnl`	A constraint-based algorithm for the structural learning of continuous-time Bayesian networks. Int. J. Approx. Reason. Alessandro Bregoli, Marco Scutari, Fabio Stella
2021	—	`conf`	Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper). KaRS/ComplexRec@RecSys Gabriele Sottocornola, Sanja Baric, Fabio Stella, Markus Zanker
2021	—	`conf`	Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of Apple. WI/IAT Gabriele Sottocornola, Fabio Stella, Markus Zanker
2021	J	`jnl`	Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases. CoRR Gabriele Sottocornola, Fabio Stella, Markus Zanker
2021	J	`jnl`	EAD: an ensemble approach to detect adversarial examples from the hidden features of deep neural networks. CoRR Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi
2021	J	`jnl`	Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm. Entropy Emanuele Cavenaghi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
2021	—	`ed.`	Proceedings of the Workshop on Towards Smarter Health Care: Can Artificial Intelligence Help? co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), Anywhere, November 29th, 2021. SMARTERCARE@AIxIA Peter Lucas, Fabio Stella
2020	—	`conf`	An Attention-based Architecture for EEG Classification. BIOSIGNALS Italo Zoppis, Alessio Zanga, Sara Manzoni, Giulia Cisotto, Angela Morreale, Fabio Stella, Giancarlo Mauri
2020	—	`conf`	Constraing-Based Learning for Continous-Time Bayesian Networks. PGM Alessandro Bregoli, Marco Scutari, Fabio Stella
2020	J	`jnl`	Constraint-Based Learning for Continuous-Time Bayesian Networks. CoRR Alessandro Bregoli, Marco Scutari, Fabio Stella
2020	A	`conf`	Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple. IUI Gabriele Sottocornola, Maximilian Nocker, Fabio Stella, Markus Zanker
2020	J	`jnl`	Hard and Soft EM in Bayesian Network Learning from Incomplete Data. Algorithms Andrea Ruggieri, Francesco Stranieri, Fabio Stella, Marco Scutari
2020	J	`jnl`	Hard and Soft EM in Bayesian Network Learning from Incomplete Data. CoRR Andrea Ruggieri, Francesco Stranieri, Fabio Stella, Marco Scutari
2020	J	`jnl`	Investigating the Compositional Structure Of Deep Neural Networks. CoRR Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti
2020	—	`conf`	Investigating the Compositional Structure of Deep Neural Networks. LOD (1) Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti
2020	—	`conf`	Understanding Deep Learning with Activation Pattern Diagrams. XAI.it@AI*IA Francesco Craighero, Alex Graudenzi, Fabrizio Angaroni, Fabio Stella, Marco Antoniotti
2019	J	`jnl`	A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity. Artif. Intell. Medicine Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas, Lonneke Boer, Erik Bischoff
2019	J	`jnl`	A survey on Bayesian network structure learning from data. Prog. Artif. Intell. Mauro Scanagatta, Antonio Salmerón, Fabio Stella
2018	A*	`conf`	Learning Continuous Time Bayesian Networks in Non-stationary Domains. IJCAI Simone Villa, Fabio Stella
2018	—	`conf`	Making Continuous Time Bayesian Networks More Flexible. PGM Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas
2018	A	`conf`	Picture-based navigation for diagnosing post-harvest diseases of apple. RecSys Maximilian Nocker, Gabriele Sottocornola, Markus Zanker, Sanja Baric, Greice Amaral Carneiro, Fabio Stella
2018	—	`conf`	Representing Hypoexponential Distributions in Continuous Time Bayesian Networks. IPMU (3) Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas
2017	B	`conf`	A graph based approach to scientific paper recommendation. WI Maha Amami, Rim Faiz, Fabio Stella, Gabriella Pasi
2017	B	`conf`	Towards a deep learning model for hybrid recommendation. WI Gabriele Sottocornola, Fabio Stella, Markus Zanker, Francesco Canonaco
2016	C	`conf`	An LDA-Based Approach to Scientific Paper Recommendation. NLDB Maha Amami, Gabriella Pasi, Fabio Stella, Rim Faiz
2016	J	`jnl`	Analyzing user reviews in tourism with topic models. J. Inf. Technol. Tour. Marco Rossetti, Fabio Stella, Markus Zanker
2016	A	`conf`	Contrasting Offline and Online Results when Evaluating Recommendation Algorithms. RecSys Marco Rossetti, Fabio Stella, Markus Zanker
2016	J	`jnl`	Learning Continuous Time Bayesian Networks in Non-stationary Domains. J. Artif. Intell. Res. Simone Villa, Fabio Stella
2016	—	`conf`	Wearable devices and AI techniques integration to promote physical activity. MobileHCI Adjunct Dario Baretta, Fabio Sartori, Andrea Greco, Riccardo Melen, Fabio Stella, Letizia Bollini, Marco D'addario, Patrizia Steca
2015	C	`conf`	Analysing User Reviews in Tourism with Topic Models. ENTER Marco Rossetti, Fabio Stella, Longbing Cao, Markus Zanker
2015	J	`jnl`	Classification and clustering with continuous time Bayesian network models. J. Intell. Inf. Syst. Daniele Codecasa, Fabio Stella
2015	J	`jnl`	On applying machine learning techniques for design pattern detection. J. Syst. Softw. Marco Zanoni, Francesca Arcelli Fontana, Fabio Stella
2014	J	`jnl`	CTBNCToolkit: Continuous Time Bayesian Network Classifier Toolkit. CoRR Daniele Codecasa, Fabio Stella
2014	—	`conf`	Continuous Time Bayesian Networks for Gene Network Reconstruction: A Comparative Study on Time Course Data. ISBRA Enzo Acerbi, Fabio Stella
2014	J	`jnl`	Gene network inference using continuous time Bayesian networks: a comparative study and application to Th17 cell differentiation. BMC Bioinform. Enzo Acerbi, Teresa Zelante, Vipin Narang, Fabio Stella
2014	J	`jnl`	Integrating Concepts and Knowledge in Large Content Networks. New Gener. Comput. Marco Rossetti, Remo Pareschi, Fabio Stella, Francesca Arcelli Fontana
2014	J	`jnl`	Learning continuous time Bayesian network classifiers. Int. J. Approx. Reason. Daniele Codecasa, Fabio Stella
2014	—	`conf`	Tracking Hot Topics for the Monitoring of Open-World Processes. SIMPDA Remo Pareschi, Marco Rossetti, Fabio Stella
2013	—	`conf`	A Classification Based Scoring Function for Continuous Time Bayesian Network Classifiers. NFMCP Daniele Codecasa, Fabio Stella
2013	B	`conf`	Determining factors in ICT adoption by MSME's in agriculture clusters: An exploratory case study. RCIS Gianluigi Viscusi, Federico Cabitza, Andrea Maurino, Fabio Stella
2013	—	`conf`	Self Organizing Maps to efficiently cluster and functionally interpret protein conformational ensembles. WIVACE Domenico Fraccalvieri, Laura Bonati, Fabio Stella
2013	—	`conf`	Towards Explaining Latent Factors with Topic Models in Collaborative Recommender Systems. DEXA Workshops Marco Rossetti, Fabio Stella, Markus Zanker
2012	J	`jnl`	Continuous time Bayesian network classifiers. J. Biomed. Informatics Fabio Stella, Y. Amer
2012	J	`jnl`	Topic model validation. Neurocomputing Eduardo H. Ramírez, Ramón F. Brena, Davide Magatti, Fabio Stella
2011	J	`jnl`	Conformational and functional analysis of molecular dynamics trajectories by Self-Organising Maps. BMC Bioinform. Domenico Fraccalvieri, Alessandro Pandini, Fabio Stella, Laura Bonati
2010	A	`conf`	Dependency Discovery in Data Quality. CAiSE Daniele Barone, Fabio Stella, Carlo Batini
2010	—	`conf`	Hybrid Syntactic-Semantic Reranking for Parsing Results of ECAs Interactions Using CRFs. IceTAL Enzo Acerbi, Guillermo Pérez, Fabio Stella
2010	—	`conf`	Probabilistic Metrics for Soft-Clustering and Topic Model Validation. Web Intelligence Eduardo H. Ramírez, Ramón F. Brena, Davide Magatti, Fabio Stella
2009	—	`conf`	A Software System for Topic Extraction and Document Classification. Web Intelligence Davide Magatti, Fabio Stella, Marco Faini
2009	C	`conf`	Automatic Labeling of Topics. ISDA Davide Magatti, Silvia Calegari, Davide Ciucci, Fabio Stella
2006	J	`jnl`	An Integrated Forecasting and Regularization Framework for Light Rail Transit Systems. J. Intell. Transp. Syst. Fabio Stella, Vittorio Viganò, Davide Bogni, Matteo Benzoni
2000	J	`jnl`	Stochastic Nonstationary Optimization for Finding Universal Portfolios. Ann. Oper. Res. Alexei A. Gaivoronski, Fabio Stella
1998	J	`jnl`	Stochastic optimization with structured distributions: The case of Bayesian nets. Ann. Oper. Res. Alexei A. Gaivoronski, Fabio Stella
1997	J	`jnl`	Some numerical aspects of the training problem for feed-forward neural nets. Neural Networks John J. McKeown, Fabio Stella, Gary Hall