Andreas
Waldis
Andreas Waldis
Waldis Andreas HSLU I
Research Associate Doctoral Student
Research projects
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P2Sr Profila Privacy Simplified reloaded
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Music DNA - Personalised Event Matching
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Konzeptansatz Graph neuronales Netzwerk
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ARGUMENT REPRESENTATION LEARNING (ARL)
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ITC Solar Netzwerk
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IAC
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ChatBot-like students' Q&A
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P2S : Profila Privacy Simplified - Innovation Cheque
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Automatisierte Empfehlungen für Aus- und Weiterbildungen mittels Bildungsgraphen
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X-MAS: Cross-Plattform Mediation, Association and Search Engine
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Intuitive Knowledge Connectivity
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Intuitive Knowledge Connectivity
Publications and presentations
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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
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Waldis, Andreas (2022). Composing Structure-Aware Batches for Pairwise Sentence Classification. Findings of the Association for Computational Linguistics: ACL 2022, 2022, 3031-3045.
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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
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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.
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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.
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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.
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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.
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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.
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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.
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Kaufmann, Michael; Waldis, Andreas; Siegfried, Patrick; Wilke, Gwendolin; Portmann, Edy & Hemmje, Matthias (2016). Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks. In Franz Lehner, Nora Fteimi (Hrsg.), Knowledge Science, Engineering and Management (S. 337-348). Cham, Switzerland: Springer International Publishing.
Publications and presentations - Article, review; peer reviewed
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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
-
Waldis, Andreas (2022). Composing Structure-Aware Batches for Pairwise Sentence Classification. Findings of the Association for Computational Linguistics: ACL 2022, 2022, 3031-3045.
-
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
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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.
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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.
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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.
Publications and presentations - Article, review; not peer reviewed
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Waldis, Andreas & Mazzola, Luca (2021). Nested and Balanced Entity Recognition using Multi-Task Learning. arXiv preprint, 1-10.
Publications and presentations - Chapter/legal commentary/lexicon article
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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.
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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.
-
Kaufmann, Michael; Waldis, Andreas; Siegfried, Patrick; Wilke, Gwendolin; Portmann, Edy & Hemmje, Matthias (2016). Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks. In Franz Lehner, Nora Fteimi (Hrsg.), Knowledge Science, Engineering and Management (S. 337-348). Cham, Switzerland: Springer International Publishing.
