53 citations · 277 across the 18 of their papers we have counts for
18 papers
Clusternets: A deep learning approach to probe clustering dark energy
Amirmohammad Chegeni, Farbod Hassani, Alireza Vafaei Sadr +2
Machine Learning (ML) algorithms are becoming popular in cosmology for extracting valuable information from cosmological data. In this paper, we evaluate the performance of a Convo…
SKA Science Data Challenge 2: analysis and results
P. Hartley, A. Bonaldi, R. Braun +105
The Square Kilometre Array Observatory (SKAO) will explore the radio sky to new depths in order to conduct transformational science. SKAO data products made available to astronomer…
U-Net-based Models for Skin Lesion Segmentation: More Attention and Augmentation
Pooya Mohammadi Kazaj, MohammadHossein Koosheshi, Ali Shahedi +1
According to WHO[1], since the 1970s, diagnosis of melanoma skin cancer has been more frequent. However, if detected early, the 5-year survival rate for melanoma can increase to 99…
Learning to Detect Interesting Anomalies
Alireza Vafaei Sadr, Bruce A. Bassett, Emmanuel Sekyi
Anomaly detection algorithms are typically applied to static, unchanging, data features hand-crafted by the user. But how does a user systematically craft good features for anomali…
Deep Learning in Searching the Spectroscopic Redshift of Quasars
F. Rastegar Nia, M. T. Mirtorabi, R. Moradi +2
Studying the cosmological sources at their cosmological rest-frames is crucial to track the cosmic history and properties of compact objects. In view of the increasing data volume…
The Hydrogen Intensity and Real-time Analysis eXperiment: 256-Element Array Status and Overview
Devin Crichton, Moumita Aich, Adam Amara +97
The Hydrogen Intensity and Real-time Analysis eXperiment (HIRAX) is a radio interferometer array currently in development, with an initial 256-element array to be deployed at the S…