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ORCIDFabio Stella
Fabio Antonio Stella
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- affiliation: University of Milano-Bicocca, Italy
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2020 – today
- 2024
[j27]Matteo Gabardi, Aurora Saibene, Francesca Gasparini, Daniele Rizzo, Fabio Stella:
DL-based multi-artifact EEG denoising exploiting spectral information. Intelligenza Artificiale 18(1): 89-102 (2024)- [j26]Francesco Stranieri, Fabio Stella, Chaaben Kouki:
Performance of deep reinforcement learning algorithms in two-echelon inventory control systems. Int. J. Prod. Res. 62(17): 6211-6226 (2024) - [j25]Fabio Stella
, Francesco Calimeri, Mauro Dragoni:
Special issue on learning from multiple data sources for decision making in health care. J. Biomed. Informatics 153: 104645 (2024) - [i15]Emanuele Cavenaghi, Fabio Stella, Markus Zanker:
Causal Discovery in Recommender Systems: Example and Discussion. CoRR abs/2409.10271 (2024) - [i14]Emanuele Cavenaghi, Alessio Zanga, Fabio Stella, Markus Zanker:
The Importance of Causality in Decision Making: A Perspective on Recommender Systems. CoRR abs/2410.01822 (2024) - 2023
- [j24]Carlos Villa-Blanco, Alessandro Bregoli, Concha Bielza, Pedro Larrañaga, Fabio Stella:
Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers. Int. J. Approx. Reason. 159: 108945 (2023) - [j23]Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi:
Unity is strength: Improving the detection of adversarial examples with ensemble approaches. Neurocomputing 554: 126576 (2023) - [j22]Emanuele Cavenaghi, Gabriele Sottocornola, Fabio Stella, Markus Zanker:
A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems. Trans. Recomm. Syst. 1(3): 1-23 (2023) - [c39]Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio Antonio Stella:
Towards a Transportable Causal Network Model Based on Observational Healthcare Data. HC@AIxIA 2023: 67-82 - [c38]Francesco Stranieri, Alberto Archetti, Enrico Robbiano, Chaaben Kouki, Fabio Stella:
Drug Inventory Control: Human Decisions Versus Deep Reinforcement Learning (short paper). AIABI@AI*IA 2023 - [c37]Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella:
Causal Discovery with Missing Data in a Multicentric Clinical Study. AIME 2023: 40-44 - [c36]Matteo Gabardi, Aurora Saibene, Francesca Gasparini, Daniele Rizzo, Fabio Antonio Stella:
A multi-artifact EEG denoising by frequency-based deep learning. AIxHMI@AI*IA 2023: 28-41 - [c35]Emanuele Cavenaghi, Alessio Zanga, Alessandro Rimoldi, Paolo Minasi, Markus Zanker, Fabio Stella:
Analysis of Relevant Factors in Online Hotel Recommendation Through Causal Models. RecTour@RecSys 2023: 1-9 - [c34]Alessandro Bregoli, Karin Rathsman, Marco Scutari, Fabio Stella, Søren Wengel Mogensen:
Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks. TIME 2023: 8:1-8:21 - [e3]Francesco Calimeri, Mauro Dragoni, Fabio Stella:
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. CEUR Workshop Proceedings 3578, CEUR-WS.org 2023 [contents] - [i13]Alessio Zanga, Fabio Stella:
A Survey on Causal Discovery: Theory and Practice. CoRR abs/2305.10032 (2023) - [i12]Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella:
Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach. CoRR abs/2305.10041 (2023) - [i11]Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella:
Causal Discovery with Missing Data in a Multicentric Clinical Study. CoRR abs/2305.10050 (2023) - [i10]Alessandro Bregoli, Karin Rathsman, Marco Scutari, Fabio Stella, Søren Wengel Mogensen:
Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks. CoRR abs/2308.10606 (2023) - [i9]Matteo Gabardi, Aurora Saibene, Francesca Gasparini, Daniele Rizzo, Fabio Antonio Stella:
A multi-artifact EEG denoising by frequency-based deep learning. CoRR abs/2310.17335 (2023) - [i8]Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio Stella:
Towards a Transportable Causal Network Model Based on Observational Healthcare Data. CoRR abs/2311.08427 (2023) - 2022
- [j21]Gabriele Sottocornola, Sanja Baric, Maximilian Nocker, Fabio Stella, Markus Zanker:
Picture-based and conversational decision support to diagnose post-harvest apple diseases. Expert Syst. Appl. 189: 116052 (2022) - [j20]Alessio Zanga, Elif Ozkirimli, Fabio Stella:
A Survey on Causal Discovery: Theory and Practice. Int. J. Approx. Reason. 151: 101-129 (2022) - [c33]Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella:
Risk Assessment of Lymph Node Metastasis in Endometrial Cancer Patients: A Causal Approach. HC@AIxIA 2022: 1-15 - [c32]Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker:
An Analysis of User Click Behaviour in Online Hotel Search. IIR 2022 - [c31]Marco Gigli, Fabio Stella:
Parametric Bandits for Search Engine Marketing Optimisation. PAKDD (3) 2022: 326-337 - [c30]Carlos Villa-Blanco, Alessandro Bregoli, Concha Bielza, Pedro Larrañaga, Fabio Stella:
Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers. PGM 2022: 313-324 - [c29]Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker:
An Online Experiment of a Price-Based Re-Rank Algorithm. RecTour@RecSys 2022: 83-91 - [e2]Francesco Calimeri, Mauro Dragoni, Fabio Stella:
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. CEUR Workshop Proceedings 3307, CEUR-WS.org 2022 [contents] - [i7]Francesco Stranieri, Fabio Stella:
Deep Reinforcement Learning for a Two-Echelon Supply Chain with Seasonal Demand. CoRR abs/2204.09603 (2022) - 2021
- [j19]Emanuele Cavenaghi, Gabriele Sottocornola, Fabio Stella, Markus Zanker:
Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm. Entropy 23(3): 380 (2021) - [j18]Alessandro Bregoli, Marco Scutari, Fabio Stella:
A constraint-based algorithm for the structural learning of continuous-time Bayesian networks. Int. J. Approx. Reason. 138: 105-122 (2021) - [c28]Gabriele Sottocornola, Sanja Baric, Fabio Stella, Markus Zanker:
Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper). KaRS/ComplexRec@RecSys 2021 - [c27]Gabriele Sottocornola, Fabio Stella, Markus Zanker:
Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of Apple. WI/IAT 2021: 241-248 - [e1]Peter Lucas, Fabio Stella:
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. CEUR Workshop Proceedings 3060, CEUR-WS.org 2021 [contents] - [i6]Gabriele Sottocornola, Fabio Stella, Markus Zanker:
Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases. CoRR abs/2102.04214 (2021) - [i5]Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi:
EAD: an ensemble approach to detect adversarial examples from the hidden features of deep neural networks. CoRR abs/2111.12631 (2021) - 2020
- [j17]Andrea Ruggieri, Francesco Stranieri, Fabio Stella, Marco Scutari:
Hard and Soft EM in Bayesian Network Learning from Incomplete Data. Algorithms 13(12): 329 (2020) - [c26]Francesco Craighero, Alex Graudenzi, Fabrizio Angaroni, Fabio Stella, Marco Antoniotti:
Understanding Deep Learning with Activation Pattern Diagrams. XAI.it@AI*IA 2020: 119-126 - [c25]Italo Zoppis, Alessio Zanga, Sara Manzoni, Giulia Cisotto, Angela Morreale, Fabio Stella, Giancarlo Mauri:
An Attention-based Architecture for EEG Classification. BIOSIGNALS 2020: 214-219 - [c24]Gabriele Sottocornola, Maximilian Nocker, Fabio Stella, Markus Zanker:
Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple. IUI 2020: 83-87 - [c23]Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti:
Investigating the Compositional Structure of Deep Neural Networks. LOD (1) 2020: 322-334 - [c22]Alessandro Bregoli, Marco Scutari, Fabio Stella:
Constraing-Based Learning for Continous-Time Bayesian Networks. PGM 2020: 41-52 - [i4]Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti:
Investigating the Compositional Structure Of Deep Neural Networks. CoRR abs/2002.06967 (2020) - [i3]Alessandro Bregoli, Marco Scutari, Fabio Stella:
Constraint-Based Learning for Continuous-Time Bayesian Networks. CoRR abs/2007.03248 (2020) - [i2]Andrea Ruggieri, Francesco Stranieri, Fabio Stella, Marco Scutari:
Hard and Soft EM in Bayesian Network Learning from Incomplete Data. CoRR abs/2012.05269 (2020)
2010 – 2019
- 2019
- [j16]Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas, Lonneke Boer, Erik Bischoff:
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity. Artif. Intell. Medicine 95: 104-117 (2019) - [j15]Mauro Scanagatta, Antonio Salmerón, Fabio Stella:
A survey on Bayesian network structure learning from data. Prog. Artif. Intell. 8(4): 425-439 (2019) - 2018
- [c21]Simone Villa, Fabio Stella:
Learning Continuous Time Bayesian Networks in Non-stationary Domains. IJCAI 2018: 5656-5660 - [c20]Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas:
Representing Hypoexponential Distributions in Continuous Time Bayesian Networks. IPMU (3) 2018: 565-577 - [c19]Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas:
Making Continuous Time Bayesian Networks More Flexible. PGM 2018: 237-248 - [c18]Maximilian Nocker, Gabriele Sottocornola, Markus Zanker, Sanja Baric, Greice Amaral Carneiro, Fabio Stella:
Picture-based navigation for diagnosing post-harvest diseases of apple. RecSys 2018: 506-507 - 2017
- [c17]Maha Amami, Rim Faiz, Fabio Stella, Gabriella Pasi:
A graph based approach to scientific paper recommendation. WI 2017: 777-782 - [c16]Gabriele Sottocornola, Fabio Stella, Markus Zanker, Francesco Canonaco:
Towards a deep learning model for hybrid recommendation. WI 2017: 1260-1264 - 2016
- [j14]Simone Villa, Fabio Stella:
Learning Continuous Time Bayesian Networks in Non-stationary Domains. J. Artif. Intell. Res. 57: 1-37 (2016) - [j13]Marco Rossetti, Fabio Stella, Markus Zanker:
Analyzing user reviews in tourism with topic models. J. Inf. Technol. Tour. 16(1): 5-21 (2016) - [c15]Dario Baretta, Fabio Sartori, Andrea Greco, Riccardo Melen, Fabio Stella, Letizia Bollini, Marco D'addario, Patrizia Steca:
Wearable devices and AI techniques integration to promote physical activity. MobileHCI Adjunct 2016: 1105-1108 - [c14]Maha Amami, Gabriella Pasi, Fabio Stella, Rim Faiz:
An LDA-Based Approach to Scientific Paper Recommendation. NLDB 2016: 200-210 - [c13]Marco Rossetti, Fabio Stella, Markus Zanker:
Contrasting Offline and Online Results when Evaluating Recommendation Algorithms. RecSys 2016: 31-34 - 2015
- [j12]Daniele Codecasa, Fabio Stella:
Classification and clustering with continuous time Bayesian network models. J. Intell. Inf. Syst. 45(2): 187-220 (2015) - [j11]Marco Zanoni, Francesca Arcelli Fontana, Fabio Stella:
On applying machine learning techniques for design pattern detection. J. Syst. Softw. 103: 102-117 (2015) - [c12]Marco Rossetti, Fabio Stella, Longbing Cao, Markus Zanker:
Analysing User Reviews in Tourism with Topic Models. ENTER 2015: 47-58 - 2014
- [j10]Enzo Acerbi, Teresa Zelante, Vipin Narang, Fabio Stella:
Gene network inference using continuous time Bayesian networks: a comparative study and application to Th17 cell differentiation. BMC Bioinform. 15: 387 (2014) - [j9]Daniele Codecasa, Fabio Stella:
Learning continuous time Bayesian network classifiers. Int. J. Approx. Reason. 55(8): 1728-1746 (2014) - [j8]Marco Rossetti, Remo Pareschi, Fabio Stella, Francesca Arcelli Fontana:
Integrating Concepts and Knowledge in Large Content Networks. New Gener. Comput. 32(3-4): 309-330 (2014) - [c11]Enzo Acerbi, Fabio Stella:
Continuous Time Bayesian Networks for Gene Network Reconstruction: A Comparative Study on Time Course Data. ISBRA 2014: 176-187 - [c10]Remo Pareschi, Marco Rossetti, Fabio Stella:
Tracking Hot Topics for the Monitoring of Open-World Processes. SIMPDA 2014: 138-149 - [i1]Daniele Codecasa, Fabio Stella:
CTBNCToolkit: Continuous Time Bayesian Network Classifier Toolkit. CoRR abs/1404.4893 (2014) - 2013
- [c9]Marco Rossetti, Fabio Stella, Markus Zanker:
Towards Explaining Latent Factors with Topic Models in Collaborative Recommender Systems. DEXA Workshops 2013: 162-167 - [c8]Daniele Codecasa, Fabio Stella:
A Classification Based Scoring Function for Continuous Time Bayesian Network Classifiers. NFMCP 2013: 35-50 - [c7]Gianluigi Viscusi, Federico Cabitza, Andrea Maurino, Fabio Stella:
Determining factors in ICT adoption by MSME's in agriculture clusters: An exploratory case study. RCIS 2013: 1-9 - [c6]Domenico Fraccalvieri, Laura Bonati, Fabio Stella:
Self Organizing Maps to efficiently cluster and functionally interpret protein conformational ensembles. WIVACE 2013: 83-86 - 2012
- [j7]Eduardo H. Ramírez, Ramón F. Brena, Davide Magatti, Fabio Stella:
Topic model validation. Neurocomputing 76(1): 125-133 (2012) - [j6]Fabio Stella, Y. Amer:
Continuous time Bayesian network classifiers. J. Biomed. Informatics 45(6): 1108-1119 (2012) - 2011
- [j5]Domenico Fraccalvieri, Alessandro Pandini, Fabio Stella, Laura Bonati:
Conformational and functional analysis of molecular dynamics trajectories by Self-Organising Maps. BMC Bioinform. 12: 158 (2011) - 2010
- [c5]Daniele Barone, Fabio Stella, Carlo Batini:
Dependency Discovery in Data Quality. CAiSE 2010: 53-67 - [c4]Enzo Acerbi, Guillermo Pérez, Fabio Stella:
Hybrid Syntactic-Semantic Reranking for Parsing Results of ECAs Interactions Using CRFs. IceTAL 2010: 15-26 - [c3]Eduardo H. Ramírez, Ramón F. Brena, Davide Magatti, Fabio Stella:
Probabilistic Metrics for Soft-Clustering and Topic Model Validation. Web Intelligence 2010: 406-412
2000 – 2009
- 2009
- [c2]Davide Magatti, Silvia Calegari, Davide Ciucci, Fabio Stella:
Automatic Labeling of Topics. ISDA 2009: 1227-1232 - [c1]Davide Magatti, Fabio Stella, Marco Faini:
A Software System for Topic Extraction and Document Classification. Web Intelligence 2009: 283-286 - 2006
- [j4]Fabio Stella, Vittorio Viganò, Davide Bogni, Matteo Benzoni:
An Integrated Forecasting and Regularization Framework for Light Rail Transit Systems. J. Intell. Transp. Syst. 10(2): 59-73 (2006) - 2000
- [j3]Alexei A. Gaivoronski, Fabio Stella:
Stochastic Nonstationary Optimization for Finding Universal Portfolios. Ann. Oper. Res. 100(1-4): 165-188 (2000)
1990 – 1999
- 1998
- [j2]Alexei A. Gaivoronski, Fabio Stella:
Stochastic optimization with structured distributions: The case of Bayesian nets. Ann. Oper. Res. 81: 189-212 (1998) - 1997
- [j1]John J. McKeown, Fabio Stella, Gary Hall:
Some numerical aspects of the training problem for feed-forward neural nets. Neural Networks 10(8): 1455-1463 (1997)
Coauthor Index
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