no code implementations • 3 Nov 2022 • Stefano Pini, Christian S. Perone, Aayush Ahuja, Ana Sofia Rufino Ferreira, Moritz Niendorf, Sergey Zagoruyko
The code for training and testing our model on a public prediction dataset and the video of the road test are available at https://woven. mobi/safepathnet
1 code implementation • 5 Oct 2022 • Eesha Kumar, Yiming Zhang, Stefano Pini, Simon Stent, Ana Ferreira, Sergey Zagoruyko, Christian S. Perone
The imitation learning of self-driving vehicle policies through behavioral cloning is often carried out in an open-loop fashion, ignoring the effect of actions to future states.
no code implementations • 9 Jul 2021 • Christian S. Perone, Roberto Pereira Silveira, Thomas Paula
We hope our method can open new research directions on using quantities already computed by optimizers for uncertainty estimation in deep neural networks.
no code implementations • 20 Jul 2020 • Christian S. Perone
This article contains a series of analyses done for the SARS-CoV-2 outbreak in Rio Grande do Sul (RS) in the south of Brazil.
Populations and Evolution Physics and Society
2 code implementations • 2 Aug 2019 • MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David
We then apply our quantization algorithm to three datasets: (1) the Spinal Cord Gray Matter Segmentation (GM), (2) the ISBI challenge for segmentation of neuronal structures in Electron Microscopic (EM), and (3) the public National Institute of Health (NIH) dataset for pancreas segmentation in abdominal CT scans.
3 code implementations • 11 Jul 2019 • Melanie Lubrano di Scandalea, Christian S. Perone, Mathieu Boudreau, Julien Cohen-Adad
In this paper we provide a framework for Deep Active Learning applied to a real-world scenario.
no code implementations • 28 Jun 2019 • Telmo Felgueira, Silvio Rodrigues, Christian S. Perone, Rui Castro
The cost of wind energy can be reduced by using SCADA data to detect faults in wind turbine components.
1 code implementation • 14 Nov 2018 • Christian S. Perone, Pedro Ballester, Rodrigo C. Barros, Julien Cohen-Adad
Recent advances in deep learning methods have come to define the state-of-the-art for many medical imaging applications, surpassing even human judgment in several tasks.
no code implementations • 12 Jul 2018 • Christian S. Perone, Julien Cohen-Adad
Recently proposed techniques for semi-supervised learning such as Temporal Ensembling and Mean Teacher have achieved state-of-the-art results in many important classification benchmarks.
14 code implementations • 16 Jun 2018 • Christian S. Perone, Roberto Silveira, Thomas S. Paula
Despite the fast developmental pace of new sentence embedding methods, it is still challenging to find comprehensive evaluations of these different techniques.
no code implementations • 11 Nov 2017 • Christian S. Perone
In this work, we propose a straightforward method to derive Elliptic Curve Digital Signature Algorithm (ECDSA) key pairs from embeddings created using Deep Learning and Metric Learning approaches.
1 code implementation • 2 Oct 2017 • Christian S. Perone, Evan Calabrese, Julien Cohen-Adad
Gray matter (GM) tissue changes have been associated with a wide range of neurological disorders and was also recently found relevant as a biomarker for disability in amyotrophic lateral sclerosis.
no code implementations • 1 Feb 2015 • Christian S. Perone
This study describes the experimental application of Machine Learning techniques to build prediction models that can assess the injury risk associated with traffic accidents.