Fabio Stella

Orcid: 0000-0002-1394-0507

Affiliations:
  • University of Milano-Bicocca, Italy


According to our database1, Fabio Stella authored at least 69 papers between 1997 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Unity is strength: Improving the detection of adversarial examples with ensemble approaches.
Neurocomputing, October, 2023

A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems.
Trans. Recomm. Syst., September, 2023

Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers.
Int. J. Approx. Reason., August, 2023

Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach.
CoRR, 2023

A Survey on Causal Discovery: Theory and Practice.
CoRR, 2023

Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks.
Proceedings of the 30th International Symposium on Temporal Representation and Reasoning, 2023

Analysis of Relevant Factors in Online Hotel Recommendation Through Causal Models.
Proceedings of the Workshop on Recommenders in Tourism co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

A multi-artifact EEG denoising by frequency-based deep learning.
Proceedings of the 2nd Workshop on Artificial Intelligence for Human-Machine Interaction 2023 co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

Causal Discovery with Missing Data in a Multicentric Clinical Study.
Proceedings of the Artificial Intelligence in Medicine, 2023

Drug Inventory Control: Human Decisions Versus Deep Reinforcement Learning (short paper).
Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2023) co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AI*IA 2023), 2023

Towards a Transportable Causal Network Model Based on Observational Healthcare Data.
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), 2023

2022
A Survey on Causal Discovery: Theory and Practice.
Int. J. Approx. Reason., 2022

Picture-based and conversational decision support to diagnose post-harvest apple diseases.
Expert Syst. Appl., 2022

Deep Reinforcement Learning for a Two-Echelon Supply Chain with Seasonal Demand.
CoRR, 2022

An Online Experiment of a Price-Based Re-Rank Algorithm.
Proceedings of the Workshop on Recommenders in Tourism (RecTour 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Parametric Bandits for Search Engine Marketing Optimisation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

An Analysis of User Click Behaviour in Online Hotel Search.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Risk Assessment of Lymph Node Metastasis in Endometrial Cancer Patients: A Causal Approach.
Proceedings of the 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), 2022

2021
A constraint-based algorithm for the structural learning of continuous-time Bayesian networks.
Int. J. Approx. Reason., 2021

Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm.
Entropy, 2021

EAD: an ensemble approach to detect adversarial examples from the hidden features of deep neural networks.
CoRR, 2021

Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases.
CoRR, 2021

Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of Apple.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper).
Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

2020
Constraint-Based Learning for Continuous-Time Bayesian Networks.
CoRR, 2020

Hard and Soft EM in Bayesian Network Learning from Incomplete Data.
Algorithms, 2020

Constraing-Based Learning for Continous-Time Bayesian Networks.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Investigating the Compositional Structure of Deep Neural Networks.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple.
Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

An Attention-based Architecture for EEG Classification.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Understanding Deep Learning with Activation Pattern Diagrams.
Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence, 2020

2019
A survey on Bayesian network structure learning from data.
Prog. Artif. Intell., 2019

A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity.
Artif. Intell. Medicine, 2019

2018
Picture-based navigation for diagnosing post-harvest diseases of apple.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Making Continuous Time Bayesian Networks More Flexible.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Representing Hypoexponential Distributions in Continuous Time Bayesian Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

2017
Towards a deep learning model for hybrid recommendation.
Proceedings of the International Conference on Web Intelligence, 2017

A graph based approach to scientific paper recommendation.
Proceedings of the International Conference on Web Intelligence, 2017

2016
Analyzing user reviews in tourism with topic models.
J. Inf. Technol. Tour., 2016

Learning Continuous Time Bayesian Networks in Non-stationary Domains.
J. Artif. Intell. Res., 2016

Contrasting Offline and Online Results when Evaluating Recommendation Algorithms.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

An LDA-Based Approach to Scientific Paper Recommendation.
Proceedings of the Natural Language Processing and Information Systems, 2016

Wearable devices and AI techniques integration to promote physical activity.
Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2016

2015
On applying machine learning techniques for design pattern detection.
J. Syst. Softw., 2015

Classification and clustering with continuous time Bayesian network models.
J. Intell. Inf. Syst., 2015

Analysing User Reviews in Tourism with Topic Models.
Proceedings of the Information and Communication Technologies in Tourism 2015, 2015

2014
Integrating Concepts and Knowledge in Large Content Networks.
New Gener. Comput., 2014

Learning continuous time Bayesian network classifiers.
Int. J. Approx. Reason., 2014

CTBNCToolkit: Continuous Time Bayesian Network Classifier Toolkit.
CoRR, 2014

Gene network inference using continuous time Bayesian networks: a comparative study and application to Th17 cell differentiation.
BMC Bioinform., 2014

Tracking Hot Topics for the Monitoring of Open-World Processes.
Proceedings of the 4th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2014), 2014

Continuous Time Bayesian Networks for Gene Network Reconstruction: A Comparative Study on Time Course Data.
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

2013
Self Organizing Maps to efficiently cluster and functionally interpret protein conformational ensembles.
Proceedings of the Proceedings Wivace 2013, 2013

Determining factors in ICT adoption by MSME's in agriculture clusters: An exploratory case study.
Proceedings of the IEEE 7th International Conference on Research Challenges in Information Science, 2013

A Classification Based Scoring Function for Continuous Time Bayesian Network Classifiers.
Proceedings of the New Frontiers in Mining Complex Patterns, 2013

Towards Explaining Latent Factors with Topic Models in Collaborative Recommender Systems.
Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013

2012
Continuous time Bayesian network classifiers.
J. Biomed. Informatics, 2012

Topic model validation.
Neurocomputing, 2012

2011
Conformational and functional analysis of molecular dynamics trajectories by Self-Organising Maps.
BMC Bioinform., 2011

2010
Probabilistic Metrics for Soft-Clustering and Topic Model Validation.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Hybrid Syntactic-Semantic Reranking for Parsing Results of ECAs Interactions Using CRFs.
Proceedings of the Advances in Natural Language Processing, 2010

Dependency Discovery in Data Quality.
Proceedings of the Advanced Information Systems Engineering, 22nd International Conference, 2010

2009
A Software System for Topic Extraction and Document Classification.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Automatic Labeling of Topics.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2006
An Integrated Forecasting and Regularization Framework for Light Rail Transit Systems.
J. Intell. Transp. Syst., 2006

2000
Stochastic Nonstationary Optimization for Finding Universal Portfolios.
Ann. Oper. Res., 2000

1998
Stochastic optimization with structured distributions: The case of Bayesian nets.
Ann. Oper. Res., 1998

1997
Some numerical aspects of the training problem for feed-forward neural nets.
Neural Networks, 1997


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