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A. Zonta, S.K. Smit, A.E. Eiben (2020). Generating Human-Like Movement: A Comparison Between Two Approaches Based on Environmental Features.

A. Zonta, S. K. Smit, A. E. Eiben (2020). Towards a human-like movements generator based on environmental features. SSCI2020.

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Alessandro Zonta, Ali El Hassouni, David W. Romero, Jakub M. Tomczak (2020). Generative Fourier-based Auto-Encoders: Preliminary Results. LOD2020.

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A. Zonta, S. K. Smit, M. Hoogendoorn & Eiben A. E. (2019). Generation of Human-Like Movements Based on Environmental Features. SSCI2019.

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A. Zonta, S. K. Smit, E. Haasdijk & Eiben A. E. (2018). Modelling Human Movements With Turing Learning. SSCI2018.

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A. Zonta, S.K. Smit, Evert Haasdijk (2017). Predicting Individual Trip Destinations With Artificial Potential Fields. Smart-CT 2017,.

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J.V. Heinerman, A. Zonta, E.W. Haasdijk, A.E. Eiben (2016). On Line Evolution of Foraging Behaviour in a Population of Real Robots. Lecture Notes in Computer Science. 2016.