1 code implementation • 28 Oct 2022 • Pooya Mohammadi Kazaj, MohammadHossein Koosheshi, Ali Shahedi, Alireza Vafaei Sadr
Finally, our experiments show that models that have exploited attention modules successfully overcome common skin lesion segmentation problems.
no code implementations • 28 Oct 2022 • Alireza Vafaei Sadr, Bruce A. Bassett, Emmanuel Sekyi
This approach, AHUNT, shows excellent performance on MNIST, CIFAR10, and Galaxy-DESI data, significantly outperforming both standard anomaly detection and active learning algorithms with static feature spaces.
no code implementations • 21 Apr 2022 • André Homeyer, Christian Geißler, Lars Ole Schwen, Falk Zakrzewski, Theodore Evans, Klaus Strohmenger, Max Westphal, Roman David Bülow, Michaela Kargl, Aray Karjauv, Isidre Munné-Bertran, Carl Orge Retzlaff, Adrià Romero-López, Tomasz Sołtysiński, Markus Plass, Rita Carvalho, Peter Steinbach, Yu-Chia Lan, Nassim Bouteldja, David Haber, Mateo Rojas-Carulla, Alireza Vafaei Sadr, Matthias Kraft, Daniel Krüger, Rutger Fick, Tobias Lang, Peter Boor, Heimo Müller, Peter Hufnagl, Norman Zerbe
The recommendations are intended to help AI developers demonstrate the utility of their products and to help regulatory agencies and end users verify reported performance measures.
1 code implementation • 18 May 2020 • Alireza Vafaei Sadr, Bruce A. Bassett, Nadeem Oozeer, Yabebal Fantaye, Chris Finlay
Our results strongly suggest that deep learning on simulations, boosted by transfer learning on real data, will likely play a key role in the future of RFI flagging of radio astronomy data.
Instrumentation and Methods for Astrophysics
1 code implementation • 8 Apr 2020 • Alireza Vafaei Sadr, Farida Farsian
In this work, we propose a new method to inpaint the CMB signal in regions masked out following a point source extraction process.
1 code implementation • 9 Sep 2019 • Alireza Vafaei Sadr, Bruce A. Bassett, Martin Kunz
Anomaly detection is challenging, especially for large datasets in high dimensions.