Mirko Polato

Publications

• J06 "Learning with subsampled kernel-based methods: Environmental and financial applications", M. Aminian Shahrokhabadi, A. Neisy, Emma Perracchione and Mirko Polato, Dolomites Research Notes on Approximation (2019), Padova University Press, Vol. 12, ISSN 20356803, pp. 2035-6803, Padova, IT, 2019. PDF code bibtex

  Bibtex - copy to clipboard

  @article{Shahrokhabadi:2019,
      title = "Learning with subsampled kernel-based methods: Environmental and financial applications",
      journal = "Dolomites Research Notes on Approximation",
      volume = "12",
      pages = "2035 - 6803",
      year = "2019",
      issn = "2035-6803",
      author = "M. Aminian Shahrokhabadi and A. Neisy and E. Perracchione and M. Polato"
  }

  Close
• J05 "Boolean kernels for rule based interpretation of Support Vector Machines", Mirko Polato and Fabio Aiolli. Neurocomputing (2019), Elsevier Science Ltd., Vol. 342, pp. 113-124, Oxford, UK, 2019. PDF bibtex

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  @article{Polato-neuro:2019,
      title = "Boolean kernels for rule based interpretation of support vector machines",
      journal = "Neurocomputing",
      volume = "342",
      pages = "113 - 124",
      year = "2019",
      note = "Advances in artificial neural networks, machine learning and computational intelligence",
      issn = "0925-2312",
      doi = "https://doi.org/10.1016/j.neucom.2018.11.094",
      author = "Mirko Polato and Fabio Aiolli"
  }

  Close
• J04 "A novel Boolean kernels family for categorical data", Mirko Polato, Ivano Lauriola and Fabio Aiolli. Entropy (2018), MDPI, Vol. 10, Iss. 6, Art. num. 444, Basel, CH, doi: 10.3390/e20060444, ISSN: 1099-4300, 2018. PDF bibtex

  Bibtex - copy to clipboard

  @Article{Polato-entropy:2018,
      AUTHOR = {Polato, Mirko and Lauriola, Ivano and Aiolli, Fabio},
      TITLE = {A Novel Boolean Kernels Family for Categorical Data},
      JOURNAL = {Entropy},
      VOLUME = {20},
      YEAR = {2018},
      NUMBER = {6},
      ARTICLE-NUMBER = {444},
      ISSN = {1099-4300},
      DOI = {10.3390/e20060444}
  }

  Close
• J03 "Boolean kernels for collaborative filtering in top-N item recommendation", Mirko Polato and Fabio Aiolli. Neurocomputing (2018), Elsevier Science Ltd., Vol. 286, pp. 214-225, Oxford, UK, doi: 10.1016/j.neucom.2018.01.057, ISSN: 0925-2312, 2018. PDF code bibtex

  Bibtex - copy to clipboard

  @article{Polato-neuro:2018,
      title = "Boolean kernels for collaborative filtering in top-N item recommendation",
      journal = "Neurocomputing",
      volume = "286",
      pages = "214 - 225",
      year = "2018",
      issn = "0925-2312",
      doi = "https://doi.org/10.1016/j.neucom.2018.01.057",
      author = "Mirko Polato and Fabio Aiolli",
      keywords = "Boolean kernel, Kernel methods, Recommender systems, Collaborative filtering, Implicit feedback"
  }

  Close
• J02 "Time and activity sequence prediction of business process instances", Mirko Polato, Alessandro Sperduti, Andrea Burattin, Massimiliano de Leoni. Computing (2018), Springer Nature, Vol. 100, Iss. 9, pp. 1005-1031, Berlin, GE, doi: 10.1007/s00607-018-0593-x, ISSN: 1436-5057, 2018. PDF code bibtex

  Bibtex - copy to clipboard

  @Article{Polato-computing:2018,
      author="Polato, Mirko
      and Sperduti, Alessandro
      and Burattin, Andrea
      and de Leoni, Massimiliano",
      title="Time and activity sequence prediction of business process instances",
      journal="Computing",
      year="2018",
      volume="100",
      number="9",
      pages="1005--1031",
      issn="1436-5057",
      doi="10.1007/s00607-018-0593-x"
  }

  Close
• J01 "Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation", Mirko Polato and Fabio Aiolli. Neurocomputing (2017), Elsevier Science Ltd., Vol. 268, pp. 17-26, Oxford, UK, doi: 10.1016/j.neucom.2016.12.090, ISSN: 0925-2312, 2017. PDF code bibtex

  Bibtex - copy to clipboard

  @article{Polato-neuro:2017,
      title = "Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation",
      journal = "Neurocomputing",
      volume = "268",
      pages = "17 - 26",
      year = "2017",
      note = "Advances in artificial neural networks, machine learning and computational intelligence",
      issn = "0925-2312",
      doi = "https://doi.org/10.1016/j.neucom.2016.12.090",
      author = "Mirko Polato and Fabio Aiolli",
      keywords = "Top-N recommendation, Kernel, Collaborative filtering, Large scale"
  }

  Close

• P01 "Conditioned Variational Autoencoder for top-N item recommendation" Tommaso Carraro, Mirko Polato and Fabio Aiolli. 2020.

• C16 "Recency Aware Collaborative Filtering for Next Basket Recommendation" Guglielmo Faggioli, Mirko Polato and Fabio Aiolli. (to appear) ACM Conference On User Modelling, Adaptation And Personalization (UMAP'20), Genova, Italy, 2020.
• C15 "Playing the large margin preference game" Mirko Polato, Guglielmo Faggioli, Ivano Lauriola and Fabio Aiolli. International Conference on Artificial Neural Networks (ICANN'19), Monaco, Germany, 2019. PDF bibtex

  Bibtex - copy to clipboard

  @InProceedings{Polato:2019icann,
  	author="Polato, Mirko
  	and Faggioli, Guglielmo
  	and Lauriola, Ivano
  	and Aiolli, Fabio",
  	title="Playing the Large Margin Preference Game",
  	booktitle="Artificial Neural Networks and Machine Learning -- ICANN 2019: Deep Learning",
  	year="2019",
  	publisher="Springer International Publishing",
  	pages="792--804"
  }

  Close
• C14 "Evaluation of tag clusterings for user profiling in movie recommendation", Guglielmo Faggioli, Ivano Lauriola, Mirko Polato and Fabio Aiolli. International Conference on Artificial Neural Networks (ICANN'19), Monaco, Germany, 2019. PDF bibtex

  Bibtex - copy to clipboard

  @InProceedings{Faggioli:2019icann,
  	author="Faggioli, Guglielmo
  	and Polato, Mirko
  	and Lauriola, Ivano
  	and Aiolli, Fabio",
  	title="Evaluation of Tag Clusterings for User Profiling in Movie Recommendation",
  	booktitle="Artificial Neural Networks and Machine Learning -- ICANN 2019: Workshop and Special Sessions",
  	year="2019",
  	publisher="Springer International Publishing",
  	pages="456--468"
  }

  Close
• C13 "A Preference-Learning framework for modeling Relational data", Ivano Lauriola, Mirko Polato, Guglielmo Faggioli and Fabio Aiolli. INNS Conference on Big Data and Deep Learning (INNS BDDL'19), Sestri Levante, Italy, 2019. PDF bibtex

  Bibtex - copy to clipboard

  @InProceedings{Lauriola:2019,
  	author="Lauriola, Ivano
  	and Polato, Mirko
  	and Faggioli, Guglielmo
  	and Aiolli, Fabio",
  	title="A Preference-Learning Framework for Modeling Relational Data",
  	booktitle="Recent Advances in Big Data and Deep Learning",
  	year="2019",
  	publisher="Springer International Publishing",
  	pages="359--369",
  	isbn="978-3-030-16841-4"
  }

  Close
• C12 "Mind Your Wallet's Privacy: Identifying Bitcoin Wallet Apps and User's Actions through Network Traffic Analysis", Fabio Aiolli, Mauro Conti, Ankit Gangwal and Mirko Polato. ACM Symposium On Applied Computing (SAC'19), Limassol, Cyprus, 2019. PDF bibtex

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  @inproceedings{Aiolli:2019wallet,
  	author = {Aiolli, Fabio and Conti, Mauro and Gangwal, Ankit and Polato, Mirko},
  	title = {Mind Your Wallet's Privacy: Identifying Bitcoin Wallet Apps and User's Actions Through Network Traffic Analysis},
  	booktitle = {Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing},
  	series = {SAC '19},
  	year = {2019},
  	isbn = {978-1-4503-5933-7},
  	location = {Limassol, Cyprus},
  	pages = {1484--1491},
  	numpages = {8},
  	doi = {10.1145/3297280.3297430},
  	acmid = {3297430},
  	publisher = {ACM},
  	address = {New York, NY, USA}
  } 

  Close
• C11 "Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning", Mirko Polato and Fabio Aiolli. AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, USA, 2019. PDF Poster code bibtex

  Bibtex - copy to clipboard

  @inproceedings{Polato:2019aaai,
    author    = {Mirko Polato and
                 Fabio Aiolli},
    title     = {Interpretable Preference Learning: {A} Game Theoretic Framework for
                 Large Margin On-Line Feature and Rule Learning},
    booktitle = {The Thirty-Third {AAAI} Conference on Artificial Intelligence, {AAAI}
                 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019.},
    pages     = {4723--4730},
    year      = {2019}
  }

  Close
• C10 "A game-theoretic framework for interpretable preference and feature learning", Mirko Polato and Fabio Aiolli. International Conference on Artificial Neural Networks (ICANN'18), Rhodes, GR. Springer, pp. 659-668, Basil, CH, 2018. PDF bibtex

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  @inproceedings{Polato:2018icann,
  	author={Polato, Mirko and Aiolli, Fabio},
  	title={A Game-Theoretic Framework for Interpretable Preference and Feature Learning},
  	booktitle={Artificial Neural Networks and Machine Learning -- ICANN 2018},
  	year={2018},
  	publisher={Springer International Publishing},
  	pages={659--668}
  }

  Close
• C09 "Learning preferences for large scale multi-label problems", Ivano Lauriola, Mirko Polato, Alberto Lavelli, Fabio Rinaldi and Fabio Aiolli. International Conference on Artificial Neural Networks (ICANN'18), Rhodes, GR. Springer, pp. 546-555, Basil, CH, 2018. PDF bibtex

  Bibtex - copy to clipboard

  @inproceedings{Lauriola:2018icann,
  	author={Lauriola, Ivano and Polato, Mirko and Lavelli, Alberto and Rinaldi, Fabio and Aiolli, Fabio}
  	title={A Game-Theoretic Framework for Interpretable Preference and Feature Learning},
  	booktitle={Artificial Neural Networks and Machine Learning -- ICANN 2018},
  	year={2018},
  	publisher={Springer International Publishing},
  	pages={546--555}
  }

  Close
• C08 "The Minimum Effort Maximum Output Principle applied to Multiple Kernel Learning", Ivano Lauriola, Mirko Polato and Fabio Aiolli. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'18), Bruges, BE, ISBN: 978-287587047-6, 2018. PDF bibtex

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  @inproceedings{Lauriola-esann:2018,
      title={The Minimum Effort Maximum Output Principle applied to Multiple Kernel Learning},
      author={Ivano Lauriola and Mirko Polato and Fabio Aiolli},
      booktitle={European Symposium on Artificial Neural Networks, Computational Intelligence
              and Machine Learning},
      series={ESANN'18}
      year={2018}
  }

  Close
• C07 "Boolean kernels for interpretable kernel machines", Mirko Polato and Fabio Aiolli. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'18), Bruges, BE, ISBN: 978-287587047-6, 2018. PDF bibtex

  Bibtex - copy to clipboard

  @inproceedings{Polato-esann:2018,
      title={Boolean kernels for interpretable kernel machines},
      author={Fabio Aiolli and Mirko Polato},
      booktitle={European Symposium on Artificial Neural Networks, Computational Intelligence
              and Machine Learning},
      series={ESANN'18}
      year={2018}
  }

  Close
• C06 "LSTM networks for data-aware remaining time prediction of business process instances", Nicolò Navarin, Beatrice Vincenzi, Mirko Polato and Alessandro Sperduti. IEEE Symposium Series on Computational Intelligence (SSCI'17), Honolulu, HI, USA. IEEE, pp. 119-124, doi: 10.1109/SSCI.2017.8285184, ISBN: 978-1-5386-2726-6, 2017. PDF bibtex

  Bibtex - copy to clipboard

  @INPROCEEDINGS{Navarin-ssci:2017,
  author={N. Navarin and B. Vincenzi and M. Polato and A. Sperduti},
  booktitle={2017 IEEE Symposium Series on Computational Intelligence (SSCI)},
  title={LSTM networks for data-aware remaining time prediction of business process instances},
  year={2017},
  pages={1-7},
  doi={10.1109/SSCI.2017.8285184},
  }

  Close
• C05 "Model-free predictive current control for a SynRM drive based on an effective update of measured current responses", Davide Da Rù, Mirko Polato and Silverio Bolognani. International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE'17), Pilsen, Czech Republic. IEEE, pp. 119-124, doi: 10.1109/PRECEDE.2017.8071279, ISBN: 978-1-5386-0507-3, 2017. PDF bibtex

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  @INPROCEEDINGS{DaRu:2017,
  author={D. D. Rù and M. Polato and S. Bolognani},
  booktitle={2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)},
  title={Model-free predictive current control for a SynRM drive based on an effective update of measured current responses},
  year={2017},
  pages={119-124},
  doi={10.1109/PRECEDE.2017.8071279},
  }

  Close
• C04 "Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning", Ivano Lauriola, Mirko Polato, and Fabio Aiolli. International Conference on Artificial Neural Networks (ICANN'17), Alghero, IT. Springer, pp. 183-191, Basil, CH, ISBN: 978-3-319-68612-7, 2017. PDF bibtex

  Bibtex - copy to clipboard

  @InProceedings{Lauriola-icann:2017,
      author="Lauriola, Ivano
      and Polato, Mirko
      and Aiolli, Fabio",
      title="Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning",
      booktitle="Artificial Neural Networks and Machine Learning -- ICANN 2017",
      year="2017",
      publisher="Springer International Publishing",
      pages="183--191",
      isbn="978-3-319-68612-7"
  }

  Close
• C03 "Classification of Categorical Data in the Feature Space of Monotone DNFs", Mirko Polato, Ivano Lauriola and Fabio Aiolli. International Conference on Artificial Neural Networks (ICANN'17), Alghero, IT. Springer, pp. 279-286, Basil, CH, ISBN: 978-3-319-68612-7, 2017. PDF bibtex

  Bibtex - copy to clipboard

  @InProceedings{Polato-icann:2017,
      author="Polato, Mirko
      and Lauriola, Ivano
      and Aiolli, Fabio",
      title="Classification of Categorical Data in the Feature Space of Monotone DNFs",
      booktitle="Artificial Neural Networks and Machine Learning -- ICANN 2017",
      year="2017",
      publisher="Springer International Publishing",
      pages="279--286",
      isbn="978-3-319-68612-7"
  }

  Close
• C02 "Kernel based collaborative filtering for very large scale top-N item recommendation", Mirko Polato and Fabio Aiolli. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'16), Bruges, BE, ISBN: 978-287587027-8, 2016. PDF bibtex

  Bibtex - copy to clipboard

  @inproceedings{Polato-esann:2016,
      title={Kernel based collaborative filtering for very large scale top-N item recommendation},
      author={Mirko Polato and Fabio Aiolli},
      booktitle={European Symposium on Artificial Neural Networks, Computational Intelligence
              and Machine Learning},
      series={ESANN'16}
      year={2016}
  }

  Close
• C01 "Data-aware remaining time prediction of business process instances", Mirko Polato, Alessandro Sperduti, Andrea Burattin and Massimiliano de Leoni. IEEE International Joint Conference on Neural Networks (IJCNN'14), Beijing, China, pp. 816-823, doi: 10.1109/IJCNN.2014.6889360, ISSN: 2161-4407, 2014. PDF bibtex

  Bibtex - copy to clipboard

  @INPROCEEDINGS{Polato:2014,
      author={M. Polato and A. Sperduti and A. Burattin and M. de Leoni},
      booktitle={2014 International Joint Conference on Neural Networks (IJCNN)},
      title={Data-aware remaining time prediction of business process instances},
      year={2014},
      pages={816-823},
      doi={10.1109/IJCNN.2014.6889360},
      ISSN={2161-4407}
  } 

  Close

• W05 "A look inside the black-box: towards the interpretability of Conditioned Variational Autoencoder for Collaborative Filtering" Tommaso Carraro, Mirko Polato and Fabio Aiolli. (to appear) International Workshop on Explanable and Holistic User Modeling at The 27th ACM Conference On User Modelling, Adaptation And Personalization (UMAP '20), Genova, Italy, 2020.
• W04 "Tag-Based User Profiling: A Game Theoretic Approach", Guglielmo Faggioli, Mirko Polato and Fabio Aiolli. International Workshop on Explanable and Holistic User Modeling at The 27th ACM Conference On User Modelling, Adaptation And Personalization (UMAP '19), Larnaca, Cyprus, 2019. bibtex

  Bibtex - copy to clipboard

  @inproceedings{Faggioli:2019exhum,
  	author = {Faggioli, Guglielmo and Polato, Mirko and Aiolli, Fabio},
  	title = {Tag-Based User Profiling: A Game Theoretic Approach},
  	booktitle = {Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization},
  	series = {UMAP'19 Adjunct},
  	year = {2019},
  	isbn = {978-1-4503-6711-0},
  	location = {Larnaca, Cyprus},
  	pages = {267--271},
  	numpages = {5},
  	acmid = {3323462},
  	publisher = {ACM},
  	address = {New York, NY, USA}
  }

  Close
• W03 "Efficient Similarity Based Methods For The Playlist Continuation Task", Guglielmo Faggioli, Mirko Polato and Fabio Aiolli. ACM Recommender Systems (RecSys'18) Challenge 2018, Vancouver, Canada. ACM, pp. 15:1-15:6, New York, NY, USA, doi:10.1145/3267471.3267486, ISBN: 978-1-4503-6586-4, 2018. PDF code bibtex

  Bibtex - copy to clipboard

  @inproceedings{Faggioli:2018,
      author = {Faggioli, Guglielmo and Polato, Mirko and Aiolli, Fabio},
      title = {Efficient Similarity Based Methods For The Playlist Continuation Task},
      booktitle = {Proceedings of the ACM Recommender Systems Challenge 2018},
      series = {RecSys Challenge '18},
      year = {2018},
      isbn = {978-1-4503-6586-4},
      location = {Vancouver, BC, Canada},
      pages = {15:1--15:6},
      articleno = {15},
      numpages = {6},
      url = {http://doi.acm.org/10.1145/3267471.3267486},
      doi = {10.1145/3267471.3267486},
      acmid = {3267486},
      publisher = {ACM},
      address = {New York, NY, USA},
      keywords = {Collaborative Filtering, Playlist continuation, Top-N recommendation},
  } 

  Close
• W02 "Disjunctive Boolean Kernels-based Collaborative Filtering for top-N Item Recommendation", Mirko Polato and Fabio Aiolli. Italian Information Retrieval Workshop 2017, Lugano, CH. CEUR, pp. 97-100, 2017. PDF code bibtex

  Bibtex - copy to clipboard

  @inproceedings{Polato-iir:2017,
      title={Disjunctive Boolean Kernels-based Collaborative Filtering for top-N Item Recommendation},
      author={Mirko Polato and Fabio Aiolli},
      booktitle = {Proceedings of the 8th Italian Information Retrieval Workshop, Lugano, Switzerland, June 05-07, 2017.},
      pages = {97--100},
      series = {IIR '18},
      year={2017},
      location={Lugano, Switzerland}
  }

  Close
• W01 "A Preliminary Study on a Recommender System for the Job Recommendation Challenge", Mirko Polato and Fabio Aiolli. ACM Recommender Systems (RecSys'16) Challenge 2016, Boston, MA, USA. ACM, pp. 1:1-1:4, New York, NY, USA, doi:10.1145/2987538.2987549, ISBN: 978-1-4503-4801-0, 2016. PDF bibtex

  Bibtex - copy to clipboard

  @inproceedings{Polato-recsys:2016,
      author = {Polato, Mirko and Aiolli, Fabio},
      title = {A Preliminary Study on a Recommender System for the Job Recommendation Challenge},
      booktitle = {Proceedings of the Recommender Systems Challenge},
      series = {RecSys Challenge '16},
      year = {2016},
      isbn = {978-1-4503-4801-0},
      location = {Boston, Massachusetts, USA},
      pages = {1:1--1:4},
      articleno = {1},
      numpages = {4},
      url = {http://doi.acm.org/10.1145/2987538.2987549},
      doi = {10.1145/2987538.2987549},
      acmid = {2987549},
      publisher = {ACM},
      address = {New York, NY, USA},
      keywords = {collaborative filtering, job recommendation challenge, top-n recommendation},
  }

  Close

• T02 "Modelling and processing services and tools", E. Perracchione, M. Polato, D. Tran, F. Piazzon, F. Aiolli, S. De Marchi, S. Kollet, C. Montzka, A. Sperduti, M. Vianello, M. Putti. GEO Essential Deliverable 1.3, 2019. PDF
• T01 "Data fusion guidelines", E. Perracchione, M. Polato, D. Tran, F. Piazzon, F. Aiolli, S. De Marchi, S. Kollet, C. Montzka, A. Sperduti, M. Vianello, M. Putti. GEO Essential Deliverable 1.6, 2019. PDF

• Ph.D. Definition and learning of logic-based kernels for categorical data, and application to collaborative filtering, Mirko Polato supervised by Prof. Fabio Aiolli, and co-supervised by Prof. Anna Spagnolli, 2018. PDF
• Master Development of a support tool for email classification concerning IT services help desk, Mirko Polato supervised by Prof. Alessandro Sperduti, 2013. PDF (ITA)
• Bachelor Design and development of a CAD environment, Mirko Polato supervised by Prof. Paolo Baldan and by Alberto Conz. Report about the development of a CAD Environment for IT+Robotics s.r.l., 2010. PDF (ITA)

Teaching Support

• SC02121720 AA1920 Laboratorio Architettura degli elaboratori (Laurea triennale in Informatica) Moodle
• SC01122905 AA1920 Laboratorio Apprendimento Automatico (Laurea magistrale in Informatica) Moodle
• SCM0014406 AA1920 Laboratorio di Programmazione (Laurea triennale in Matematica) Moodle
• SC02121720 AA1819 Laboratorio Architettura degli elaboratori (Laurea triennale in Informatica) Moodle
• SC01122905 AA1819 Laboratorio Apprendimento Automatico (Laurea magistrale in Informatica) Home Google Group
• SCM0014406 AA1819 Laboratorio di Programmazione (Laurea triennale in Matematica) Home Moodle Google Group
• SC01122905 AA1718 Laboratorio Apprendimento Automatico (Laurea magistrale in Informatica) Home Google Group
• SCM0014406 AA1617 Laboratorio di Programmazione (Laurea triennale in Matematica) Home Google Group
• SC01122905 AA1617 Laboratorio Apprendimento Automatico (Laurea magistrale in Informatica) Home Google Group
• SCM0014406 AA1516 Laboratorio di Programmazione (Laurea triennale in Matematica) Home Google Group
• SCM0014406 AA1415 Laboratorio di Programmazione (Laurea triennale in Matematica) Home Google Group

Awards

• RecSys'18 Top 10 position in the Spotify® RecSys Challenge 2018, Vancouver, Canada, 2018.
• ICANN'17 ENNS Student Travel Grant, in 26th International Conference on Artificial Neural Networks (ICANN'17), September 11-14, Alghero, Italy, 2017.
• INNS BDDL'19 Best Student Paper Award, in 3rd INNS Conference on Big Data and Deep Learning (BDDL'19), April 16-18, Sestri Levante, Genova, Italy, 2019.

Refereeing

Journal and Magazine Referee

• Transactions on Neural Networks and Learning Systems (IEEE)
• Neurocomputing (Elsevier)
• Neural Processing Letters (Springer)
• Transactions on Information Systems (ACM)
• Transactions on Information Forensics & Security (IEEE)
• Mathematics (MDPI)
• Neural Networks (Elsevier)
• Computing (Springer)
• Concurrency and Computation: Practice and Experience (Wiley)
• Knowledge and Information Systems (Springer)
• Journal of Information and Knowledge Management (World Scientific Publishing Co.)
• Entropy (MDPI)
• International Journal of Finance and Economics (Wiley)
• PLOS ONE
• International Journal of Information Security (Springer)
• Mathematics (MDPI)
• Symmetry (MDPI)
• Stats (MDPI)
• Applied Sciences (MDPI)
• Advances in Water Resources (Elsevier)

• Conference on Neural Information Processing Systems (NeurIPS)
• AAAI Conference on Artificial Intelligence (AAAI)
• International Conference on Machine Learning (ICML)
• International Joint Conferences on Artificial Intelligence (IJCAI)
• IEEE International Joint Conference on Neural Networks (IJCNN)
• European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning (ESANN)
• ENNS International Conference on Artificial Neural Networks (ICANN)
• Workshop on Machine Learning for Signal Processing, New Generation of Circuits and Systems (NGCAS)
• INNS Conference on Big Data and Deep Learning (INNS BDDL)
• International conference of the Italian Association for Artifical Intelligence (AIXIA 2019)
• ASIA Conference on Computer and Communications Security (ASIACCS)
• European Symposium on Research in Computer Security (ESORICS)
• IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
• International Conference on Information and Communications Security (ICICS)

Co-advising

• Master (completed) Riccardo Minato, Fellowship researcher at University of Padova.
• Master (completed) Jacopo Cavallarin, Master in Computer Science at University of Padova.
• Master (completed) Guglielmo Faggioli, Ph.D. Student in Computer Engineering at University of Padova.
• Master (completed) Stefano Cecconello, Ph.D. Student in Brain, Mind and Computer Science at University of Padova.
• Master (completed) Andrea Domenico Giuliano, Master in Computer Science at University of Padova.
• Master (completed) Cecilia Muraro, Master in Chemistry at University of Padova.
• Master (completed) Roberto Cedolin, Master in Computer Science at University of Padova.
• Master (ongoing) Tommaso Carraro, Bachelor degree in Computer Science at University of Padova.
• Master (ongoing) Alberto Gallinaro, Bachelor degree in Computer Science at University of Padova.
• Master (ongoing) Alberto Bezzon, Bachelor degree in Computer Science at University of Padova.

Random Links

• Fabio Aiolli My former supervisor's homepage.
• rectorch project A pytorch-based framework for RecSys written by me.
• pyros project A RecSys module for Python written by me.
• PRL project Python implementation of the PRL algorithm.
• MKLpy project A package for Multiple Kernel Learning in Python written by Ivano Lauriola.
• Github My Github profile :)
• Playing Chess My favorite hobby!