Currently browsing: Intelligent Systems and Data Science Research Group

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Chiatti, Agnese; Bardaro, Gianluca; Matteucci, Matteo and Motta, Enrico (2023). Visual Model Building for Robot Sensemaking: Perspectives, Challenges, and Opportunities. In: Bridge Session on AI and Robotics of the thirty-seventh AAAI conference on Artificial Intelligence (AAAI-23), 7-8 Feb 2023, Washington DC, USA, AAAI.

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Allocca, Carlo; Jilal, Samia; Ail, Rohit; Lee, Jaehun; Kim, Byungho; Antonini, Alessio; Motta, Enrico; Schellong, Julia; Stieler, Lisa; Haleem, Muhammad Salman; Georga, Eleni; Pecchia, Leandro; Gaeta, Eugenio and Fico, Giuseppe (2022). Towards a Symbolic AI Approach to the WHO/ACSM Physical Activity & Sedentary Behaviour Guidelines. Applied Sciences, 12(4), article no. 1776.

Antonini, Alessio and Benatti, Francesca (2022). Cultural Challenges of DH Reflecting on DH Waves. In: Digital Humanities Congress 2022, 8-11 Sep 2022, Sheffield, UK.

Brooker, Sam; Antonini, Alessio; Benatti, Francesca and Ohge, Christopher (2022). Missed Connections: Hypertext and Book History. In: DH+BH: An Interdisciplinary Conference on Digital Humanities and Book History, 22-24 Sep 2022, Virtual.

Chiatti, Agnese; Bardaro, Gianluca; Motta, Enrico and Daga, Enrico (2022). A Spatial Reasoning Framework for Commonsense Reasoning in Visually Intelligent Agents. In: AIC 2022, 8th International Workshop on Artificial Intelligence and Cognition, 15-17 Jun 2022, Örebro, Sweden, CEUR.

Chiatti, Agnese and Daga, Enrico (2022). Neuro-symbolic learning for dealing with sparsity in cultural heritage image archives: an empirical journey. In: Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG), co-located with the 21st International Semantic Web Conference (ISWC), 23-24 Oct 2022, Virtual, CEUR Workshop Proceedings 3342.

Trattner, Christoph; Jannach, Dietmar; Motta, Enrico; Costera Meijer, Irene; Diakopoulos, Nicholas; Elahi, Mehdi; Opdahl, Andreas L.; Tessem, Bjørnar; Borch, Njål; Fjeld, Morten; Øvrelid, Lilja; De Smedt, Koenraad and Moe, Hallvard (2022). Responsible media technology and AI: challenges and research directions. AI and Ethics, 2 pp. 585–594.

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