Mazzola Luca HSLU I

Dr. Luca Mazzola Luca Mazzola

Hochspezialisierter Senior Wissenschaftlicher Mitarbeiter

Mazzola Luca HSLU I

Hochschule Luzern – Informatik

Raum 7.32
Campus Zug-Rotkreuz
Suurstoffi 1
6343 Rotkreuz


Forschung

Hochspezialisierter Senior Wissenschaftlicher Mitarbeiter

Co-Head Information Systems Lab

+41 41 757 68 90

E-Mail anzeigen

Biografie

Dr. Luca Mazzola is research associate at the Hochschule Luzern-Informatik in the Information Systems Research Lab, with interest from Big Data to Machine Learning applications, including distributed ledgers and Neural network models for data analysis.

He holds a MSc. of Engineering in Computer Sciences (Politecnico di Milano, 2004) and a PhD. in Technologies for Human Communication (Università della Svizzera italiana, 2014).

Fächer
  • DASB - Data Science Basic
  • INLP - Introduction to Natural Language Processing

Projekte

Forschungsprojekte

  • P2Sr Profila Privacy Simplified reloaded
  • Music DNA - Personalised Event Matching
  • ARGUMENT REPRESENTATION LEARNING (ARL)
  • Blockchain-based business process management in healthcare
  • IAC
  • ChatBot-like students' Q&A
  • Databarter- Secure and Fair P2P Data Marketplace
  • Blockchain 4 Industry
  • International Blockchain Forum Rotkreuz 2020
  • NLP Model und Embedding Toolchain
  • P2S : Profila Privacy Simplified - Innovation Cheque
  • EU Blockchain Observatory and Forum
  • Automatisierte Empfehlungen für Aus- und Weiterbildungen mittels Bildungsgraphen
  • X-MAS: Plattformübergreifende Mediatior-, Assoziations- und Suchmaschine
  • Proof of Concept Social Media Analyse
  • Blockchain-basierte Plattform für Transparenz im Antiquitäten und Luxusgüterhandel
  • Immobilienbewirtschaftung mit SmartContracts
  • Automatisierte Empfehlungen für Aus- und Weiterbildungen mittels Bildungsgraphen
  • Persönliches Datenmanagement

Publikationen und Präsentationen

Publikationen und Präsentationen - Artikel, Rezension; peer reviewed

  • Shankar, Atreya; Waldis, Andreas; Bless, Christof; Andueza Rodriguez, Maria & Mazzola, Luca (2023). PrivacyGLUE: A Benchmark Dataset for General Language Understanding in Privacy Policies. Applied Sciences / MDPI, 13(6), 3701. doi: https://doi.org/10.3390/app13063701
  • Alexander, Denzler; Andreas, Waldis; Atreya, Shankar; Christof, Bless; Maria, A. Rodriguez; Mazzola, Luca & Michiel, van Roey (2023). A Question Answering Tool for Website Privacy Policy Comprehension. HCI for Cybersecurity, Privacy and Trust. HCII 2023. Lecture Notes in Computer Science, vol 14045. Springer, Cham, 194-212. doi: 10.1007/978-3-031-35822-7_14
  • Mazzola, Luca; Waldis, Andreas; Shankar, Atreya; Argyris, Diamantis; Denzler, Alexander & Michiel, van Roey (2022). Privacy and Customer’s Education: NLP for Information Resources Suggestions and Expert Finder Systems. LNCS, Lecture Notes in Computer Science, 2022(13333), 62-77. doi: 10.1007/978-3-031-05563-8_5
  • Stalder, Florian; Denzler, Alexander & Mazzola, Luca (2021). Towards Granular Knowledge Structures: Comparison of Different Approaches. 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI), 2021, 261-266. doi: 10.1109/SAMI50585.2021.9378677
  • Waldis, Andreas; Denzler, Alexander & Mazzola, Luca (2020). Towards eXplainable AI in Text Features Engineering for Concept Recognition. [Besprechung des Buchs Waldis A., Mazzola L., Denzler A. (2020) Towards eXplainable AI in Text Features Engineering for Concept Recognition. In: Espinosa-Anke L., Martín-Vide C., Spasić I. (eds) Statistical Language and Speech Processing. SLSP 2020. Lecture Notes in Computer Science, vol 12379. Springer, Cham. https://doi.org/10.1007/978-3-030-59430-5_10]. Lecture Notes in Computer Science, LNCS, 2020(12379), 122-133.
  • Christen, Ramón; Mazzola, Luca; Denzler, Alexander & Portmann, Edy (2020). Exogenous Data for Load Forecasting: A Review. Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: CI4EMS, 489-500. doi: 10.5220/0010213204890500
  • Christen, Ramón; Denzler, Alexander & Mazzola, Luca (2020). Peer-to-Peer Energy Trading in Microgrids: Towards an Integrated Open and Distributed Market. 2020 International Conference on Electrical Engineering and Control Technologies (CEECT), 2020, 1-10. doi: 10.1109/CEECT50755.2020.9298633
  • Dubovitskaya, Alevtina; Mazzola, Luca & Denzler, Alexander (2019). Towards a Trusted Support Platform for the Job Placement Task [Besprechung des Buchs Dubovitskaya, A., Mazzola, L., & Denzler, A. (2019). Towards a Trusted Support Platform for the Job Placement Task. In European Conference on Parallel Processing (pp. 203-215). Springer, Cham.]. LNCS, Lecture Notes in Computer Science, 2019(11997), 203-215.
  • Mazzola, Luca; Kapahnke, Patrick & Klusch, Matthias (2018). Semantic composition of optimal process service plans in manufacturing with ODERU. International Journal of Web Information Systems, Volume 14(Issue 4), 495-523.
  • Mazzola, Luca; Siegfried, Patrick; Waldis, Andreas; Kaufmann, Michael & Denzler, Alexander (2018). A domain specific ESA inspired approach for document semantic description. Proceedings of the 2018 IEEE International Conference on Intelligent Systems (IS), nd.
  • Waldis, Andreas; Mazzola, Luca & Kaufmann, Michael (2018). Concept Extraction with Convolutional Neural Networks. Proceedings of the 7th International Conference on Data Science, Technology and Applications, 118-129.
  • Kaphanke, Patrick; Klusch, Matthias; Mazzola, Luca & Waibel, Philipp (2018). Smart Process Optimization and Adaptive Execution with Semantic Services in Cloud Manufacturing. Information, Volume 9(issue 11), 279.

Publikationen und Präsentationen - Artikel, Rezension; not peer reviewed

  • Waldis, Andreas & Mazzola, Luca (2021). Nested and Balanced Entity Recognition using Multi-Task Learning. arXiv preprint, 1-10.
  • Christen, Ramón; Denzler, Alexander & Mazzola, Luca (2020). Towards a Peer-to-Peer Energy Market: an Overview. arXiv, 2020, arXiv-2003.

Publikationen und Präsentationen - Buchkapitel/Gesetzeskommentar/Lexikonartikel

  • Mazzola, Luca; Stalder, Florian; Waldis, Andreas; Siegfried, Patrick; Renold, Christian; Reber, David & Meier, Philipp (2021). Security Rules Identification and Validation: The Role of Explainable Clustering and Information Visualisation. In Stephanidis C., Antona M., Ntoa S. (Hrsg.), Communications in Computer and Information Science (CCIS) - Proceedings of HCI International 2021 (Vol.1420, S. 431-438). Cham, CH: Springer Nature Switzerland AG.
  • Mazzola, Luca; Siegfried, Patrick; Waldis, Andreas; Stalder, Florian; Denzler, Alexander & Kaufmann, Michael (2020). A Domain Specific ESA Method for Semantic Text Matching. Intelligent Systems: Theory, Research and Innovation in Application (S. 25-49). Cham: Springer Nature Switzerland AG.
  • Waldis, Andreas; Mazzola, Luca & Kaufmann, Michael (2019). Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction. In Quix C., Bernardino J. (eds) (Hrsg.), Data Management Technologies and Applications. DATA 2018. Communications in Computer and Information Science, vol 862. (S. 160-188). Cham: Springer Nature Switzerland AG.