432 citations · 1.1k across the 15 of their papers we have counts for
15 papers
Optical Spectroscopy of Type Ia Supernovae by the Carnegie Supernova Projects I and II
N. Morrell, M. M. Phillips, G. Folatelli +57
We present the second and final release of optical spectroscopy of Type Ia Supernovae (SNe Ia) obtained during the first and second phases of the Carnegie Supernova Project (CSP-I…
A Game-theoretic Understanding of Repeated Explanations in ML Models
Kavita Kumari, Murtuza Jadliwala, Sumit Kumar Jha +1
This paper formally models the strategic repeated interactions between a system, comprising of a machine learning (ML) model and associated explanation method, and an end-user who…
The CARMENES search for exoplanets around M dwarfs -- Planet occurrence rates from a subsample of 71 stars
S. Sabotta, M. Schlecker, P. Chaturvedi +25
The CARMENES exoplanet survey of M dwarfs has obtained more than 18 000 spectra of 329 nearby M dwarfs over the past five years as part of its guaranteed time observations (GTO) pr…
Applying a random projection algorithm to optimize machine learning model for breast lesion classification
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei +4
Machine learning is widely used in developing computer-aided diagnosis (CAD) schemes of medical images. However, CAD usually computes large number of image features from the target…
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala +2
Background and Objective: Non-invasively predicting the risk of cancer metastasis before surgery plays an essential role in determining optimal treatment methods for cancer patient…
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani +3
As the rapid spread of coronavirus disease (COVID-19) worldwide, chest X-ray radiography has also been used to detect COVID-19 infected pneumonia and assess its severity or monitor…