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Ana Tanevska
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2020 – today
- 2024
- [c11]Raj Korpan
, Amy Eguchi
3rd Workshop on Inclusive HRI: Equity and Diversity in Design, Application, Methods, and Community. HRI (Companion) 2024: 1329-1331 - [i7]Eleonora Mancini, Ana Tanevska, Andrea Galassi, Alessio Galatolo, Federico Ruggeri, Paolo Torroni:
Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders Research. CoRR abs/2406.04116 (2024) - 2023
- [j4]Pablo V. A. Barros
Incorporating rivalry in reinforcement learning for a competitive game. Neural Comput. Appl. 35(23): 16739-16752 (2023) - [j3]Dingsheng Luo
Guest Editorial Special Issue on Emerging Topics on Development and Learning. IEEE Trans. Cogn. Dev. Syst. 15(4): 1795-1800 (2023) - [c10]Sara Mongile
What if a Social Robot Excluded You?: Using a Conversational Game to Study Social Exclusion in Teen-robot Mixed Groups. HRI (Companion) 2023: 208-212 - [c9]Ana Tanevska
Inclusive HRI II: Equity and Diversity in Design, Application, Methods, and Community. HRI (Companion) 2023: 956-958 - 2022
- [c8]Sara Mongile
Are Robots That Assess Their Partner's Attachment Style Better At Autonomous Adaptive Behaviour? HRI 2022: 922-926 - [c7]Sara Mongile
Validating a Cortisol-Inspired Framework for Human-Robot Interaction with a Replication of the Still Face Paradigm. ICDL 2022: 190-196 - [i6]Sara Mongile, Ana Tanevska, Francesco Rea, Alessandra Sciutti:
Validating a Cortisol-Inspired Framework for Human-Robot Interaction with a Replication of the Still Face Paradigm. CoRR abs/2204.03518 (2022) - [i5]Pablo V. A. Barros
Incorporating Rivalry in Reinforcement Learning for a Competitive Game. CoRR abs/2208.10327 (2022) - 2021
- [j2]Ana Tanevska, Francesco Rea, Giulio Sandini, Lola Cañamero
Corrigendum: A Socially Adaptable Framework for Human-Robot Interaction. Frontiers Robotics AI 8: 812583 (2021) - [c6]Pablo Vinicius Alves de Barros
Affect-Aware Learning for Social Robots. UMAP (Adjunct Publication) 2021: 130-132 - 2020
- [b1]Ana Tanevska:
Towards a Cognitive Architecture for Socially Adaptive Human-Robot Interaction. University of Genoa, Italy, 2020 - [j1]Ana Tanevska
A Socially Adaptable Framework for Human-Robot Interaction. Frontiers Robotics AI 7: 121 (2020) - [c5]Pablo V. A. Barros
Moody Learners - Explaining Competitive Behaviour of Reinforcement Learning Agents. ICDL-EPIROB 2020: 1-8 - [c4]Pablo V. A. Barros
Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game. ICPR 2020: 2716-2723 - [i4]Ana Tanevska
A Socially Adaptable Framework for Human-Robot Interaction. CoRR abs/2003.11410 (2020) - [i3]Pablo V. A. Barros, Ana Tanevska
Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game. CoRR abs/2004.04000 (2020) - [i2]Pablo V. A. Barros, Ana Tanevska
Moody Learners - Explaining Competitive Behaviour of Reinforcement Learning Agents. CoRR abs/2007.16045 (2020) - [i1]Pablo V. A. Barros, Ana Tanevska
Incorporating Rivalry in Reinforcement Learning for a Competitive Game. CoRR abs/2011.01337 (2020)
2010 – 2019
- 2019
- [c3]Ana Tanevska
A Cognitive Architecture for Socially Adaptable Robots. ICDL-EPIROB 2019: 195-200 - [c2]Ana Tanevska
Eager to Learn vs. Quick to Complain? How a socially adaptive robot architecture performs with different robot personalities. SMC 2019: 365-371 - 2018
- [c1]Ana Tanevska
Designing an Affective Cognitive Architecture for Human-Humanoid Interaction. HRI (Companion) 2018: 253-254
Coauthor Index
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