Michele Mastropietro

According to our database, Michele Mastropietro authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

LAAT: Locally Aligned Ant Technique for Discovering Multiple Faint Low Dimensional Structures of Varying Density.

Abolfazl Taghribi, Kerstin Bunte, Rory Smith, Jihye Shin, Michele Mastropietro, Reynier F. Peletier, Peter Tino

IEEE Trans. Knowl. Data Eng., June, 2023

2022

ASAP - A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping.

Abolfazl Taghribi, Marco Canducci, Michele Mastropietro, Sven De Rijcke, Kerstin Bunte, Peter Tino

Neurocomputing, 2022

1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments.

Marco Canducci, P. Awad, Abolfazl Taghribi, Mohammad Mohammadi, Michele Mastropietro, Sven De Rijcke, Reynier Peletier, Rory Smith, Kerstin Bunte, Peter Tiño

Astron. Comput., 2022

Probabilistic modelling of general noisy multi-manifold data sets.

Marco Canducci, Peter Tiño, Michele Mastropietro

Artif. Intell., 2022

2021

Tracking the Temporal-Evolution of Supernova Bubbles in Numerical Simulations.

Marco Canducci, Abolfazl Taghribi, Michele Mastropietro, Sven De Rijcke, Reynier Peletier, Kerstin Bunte, Peter Tino

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020

LAAT: Locally Aligned Ant Technique for detecting manifolds of varying density.

Abolfazl Taghribi, Kerstin Bunte, Rory Smith, Jihye Shin, Michele Mastropietro, Reynier F. Peletier, Peter Tiño

CoRR, 2020

ASAP - A Sub-sampling Approach for Preserving Topological Structures.

Abolfazl Taghribi, Kerstin Bunte, Michele Mastropietro, Sven De Rijcke, Peter Tiño

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020