- Daniele Spoladore, Atieh Mahroo, Marco Sacco:
Leveraging Ontology to Enable Indoor Comfort Customization in the Smart Home. FQAS 2019: 63-74 - Nicolas Spyratos, Tsuyoshi Sugibuchi:
Data Exploration in the HIFUN Language. FQAS 2019: 176-187 - V. S. Subrahmanian:
Logic, Machine Learning, and Security. FQAS 2019: 3-6 - Bas Testerink, Daphne Odekerken, Floris Bex:
A Method for Efficient Argument-Based Inquiry. FQAS 2019: 114-125 - Matthias Thimm:
Algorithmic Approaches to Computational Models of Argumentation. FQAS 2019: 18-21 - Guy De Tré, Toon Boeckling, Yoram Timmerman, Slawomir Zadrozny:
Handling Veracity of Nominal Data in Big Data: A Multipolar Approach. FQAS 2019: 317-328 - Eugenio Vocaturo, Ester Zumpano, Pierangelo Veltri:
On the Usefulness of Pre-Processing Step in Melanoma Detection Using Multiple Instance Learning. FQAS 2019: 374-382 - Alfredo Cuzzocrea, Sergio Greco, Henrik Legind Larsen, Domenico Saccà, Troels Andreasen, Henning Christiansen:
Flexible Query Answering Systems - 13th International Conference, FQAS 2019, Amantea, Italy, July 2-5, 2019, Proceedings. Lecture Notes in Computer Science 11529, Springer 2019, ISBN 978-3-030-27628-7 [contents]