Fabio Stella

Trans. Recomm. Syst., September, 2023

Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., August, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Causal Discovery: Theory and Practice.

[BibT_eX]

[DOI]

Alessio Zanga

CoRR, 2023

Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks.

[BibT_eX]

[DOI]

Søren Wengel Mogensen

Proceedings of the 30th International Symposium on Temporal Representation and Reasoning, 2023

Analysis of Relevant Factors in Online Hotel Recommendation Through Causal Models.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Recommenders in Tourism co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains.

[BibT_eX]

[DOI]

Francesco Stranieri

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

A multi-artifact EEG denoising by frequency-based deep learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2023

Drug Inventory Control: Human Decisions Versus Deep Reinforcement Learning (short paper).

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Alessio Zanga

Elif Ozkirimli

Int. J. Approx. Reason., 2022

Picture-based and conversational decision support to diagnose post-harvest apple diseases.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

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

[BibT_eX]

[DOI]

Francesco Stranieri

CoRR, 2022

An Online Experiment of a Price-Based Re-Rank Algorithm.

[BibT_eX]

[DOI]

Lorenzo Camaione

Paolo Minasi

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Parametric Bandits for Search Engine Marketing Optimisation.

[BibT_eX]

[DOI]

Marco Gigli

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

An Analysis of User Click Behaviour in Online Hotel Search.

[BibT_eX]

[DOI]

Lorenzo Camaione

Paolo Minasi

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Risk Assessment of Lymph Node Metastasis in Endometrial Cancer Patients: A Causal Approach.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Alessandro Bregoli

Marco Scutari

Int. J. Approx. Reason., 2021

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

[BibT_eX]

[DOI]

Entropy, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of Apple.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

Sanja Baric

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.

[BibT_eX]

[DOI]

Alessandro Bregoli

Marco Scutari

CoRR, 2020

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

[BibT_eX]

[DOI]

Algorithms, 2020

Constraing-Based Learning for Continous-Time Bayesian Networks.

[BibT_eX]

[DOI]

Alessandro Bregoli

Marco Scutari

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Investigating the Compositional Structure of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple.

[BibT_eX]

[DOI]

Maximilian Nocker

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

An Attention-based Architecture for EEG Classification.

[BibT_eX]

[DOI]

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Understanding Deep Learning with Activation Pattern Diagrams.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mauro Scanagatta

Antonio Salmerón

Prog. Artif. Intell., 2019

A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2019

2018

Picture-based navigation for diagnosing post-harvest diseases of apple.

[BibT_eX]

[DOI]

Maximilian Nocker

Sanja Baric

Greice Amaral Carneiro

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Making Continuous Time Bayesian Networks More Flexible.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Representing Hypoexponential Distributions in Continuous Time Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

2017

Towards a deep learning model for hybrid recommendation.

[BibT_eX]

[DOI]

Francesco Canonaco

Proceedings of the International Conference on Web Intelligence, 2017

A graph based approach to scientific paper recommendation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Web Intelligence, 2017

2016

Analyzing user reviews in tourism with topic models.

[BibT_eX]

[DOI]

J. Inf. Technol. Tour., 2016

Learning Continuous Time Bayesian Networks in Non-stationary Domains.

[BibT_eX]

[DOI]

Simone Villa

J. Artif. Intell. Res., 2016

Contrasting Offline and Online Results when Evaluating Recommendation Algorithms.

[BibT_eX]

[DOI]

Francesca Arcelli Fontana

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

An LDA-Based Approach to Scientific Paper Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Information Systems, 2016

Wearable devices and AI techniques integration to promote physical activity.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Marco Zanoni

J. Syst. Softw., 2015

Classification and clustering with continuous time Bayesian network models.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2015

Analysing User Reviews in Tourism with Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Information and Communication Technologies in Tourism 2015, 2015

2014

Integrating Concepts and Knowledge in Large Content Networks.

[BibT_eX]

[DOI]

Remo Pareschi

Francesca Arcelli Fontana

New Gener. Comput., 2014

Learning continuous time Bayesian network classifiers.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2014

CTBNCToolkit: Continuous Time Bayesian Network Classifier Toolkit.

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

BMC Bioinform., 2014

Tracking Hot Topics for the Monitoring of Open-World Processes.

[BibT_eX]

[DOI]

Remo Pareschi

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.

[BibT_eX]

[DOI]

Enzo Acerbi

Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

2013

Self Organizing Maps to efficiently cluster and functionally interpret protein conformational ensembles.

[BibT_eX]

[DOI]

Domenico Fraccalvieri

Laura Bonati

Proceedings of the Proceedings Wivace 2013, 2013

Determining factors in ICT adoption by MSME's in agriculture clusters: An exploratory case study.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the New Frontiers in Mining Complex Patterns, 2013

Towards Explaining Latent Factors with Topic Models in Collaborative Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013

2012

Continuous time Bayesian network classifiers.

[BibT_eX]

[DOI]

Y. Amer

J. Biomed. Informatics, 2012

Topic model validation.

[BibT_eX]

[DOI]

Neurocomputing, 2012

2011

Conformational and functional analysis of molecular dynamics trajectories by Self-Organising Maps.

[BibT_eX]

[DOI]

Domenico Fraccalvieri

Alessandro Pandini

Laura Bonati

BMC Bioinform., 2011

2010

Probabilistic Metrics for Soft-Clustering and Topic Model Validation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Enzo Acerbi

Guillermo Pérez

Proceedings of the Advances in Natural Language Processing, 2010

Dependency Discovery in Data Quality.

[BibT_eX]

[DOI]

Daniele Barone

Carlo Batini

Proceedings of the Advanced Information Systems Engineering, 22nd International Conference, 2010

2009

A Software System for Topic Extraction and Document Classification.

[BibT_eX]

[DOI]

Davide Magatti

Marco Faini

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Automatic Labeling of Topics.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Intell. Transp. Syst., 2006

2000

Stochastic Nonstationary Optimization for Finding Universal Portfolios.

[BibT_eX]

[DOI]

Alexei A. Gaivoronski

Ann. Oper. Res., 2000

1998

Stochastic optimization with structured distributions: The case of Bayesian nets.

[BibT_eX]

[DOI]

Alexei A. Gaivoronski

Ann. Oper. Res., 1998

1997

Some numerical aspects of the training problem for feed-forward neural nets.

[BibT_eX]

[DOI]

John J. McKeown