Dipartimento di Elettronica, Informazione e Bioingegneria – Politecnico di Milano
We are happy to announce the publication of OccamyPy, a python library for solving small- and large-scale inverse problems! Codes and tutorials: https://github.com/fpicetti/occamypy This library has been developed at Stanford University by Ettore Biondi, Guillaume Barnier, Robert Clapp, Stuart Farris
The FORCE Machine Learning competition has come to an end! After reaching the 2nd place in the public prediction leaderbord, our team classified 5th in the final leaderboard on a private dataset. Our approach is based on boosted trees with
The FORCE Machine Predicted Lithology challenge has come to an end. The ISPL team composed by Luca Bondi, Edoardo Daniele Cannas, Vincenzo Lipari and Francesco Picetti with the help of Paolo Bestagini has reached the second place in the Prediction
Francesco Picetti is visiting the Stanford Exploration Project for the quarter. Yesterday he presented his research topics on deep learning applied to seismic imaging.
Vincenzo Lipari and Francesco Picetti are attending the EAGE Annual Meeting in London, UK.Inspiring talks, interesting presentations.. and dancing with dinosaurs!
Francesco Picetti is attending the SEG Annual Meeting in Los Angeles, CA, USA! He’s presenting a new Machine Learning paradigm, the Generative Adversarial Network, for processing seimic images.
Last week our Francesco Picetti has attended the 41st Conference on Telecommunications and Signal Processing, in Athens. He presented a CNN for landmine detection usign GPR!