71 citations · 111 across the 6 of their papers we have counts for
6 papers
Conditional anomaly detection using soft harmonic functions: An application to clinical alerting
Michal Valko, Hamed Valizadegan, Branislav Kveton +2
Timely detection of concerning events is an important problem in clinical practice. In this paper, we consider the problem of conditional anomaly detection that aims to identify da…
Conditional anomaly detection with soft harmonic functions
Michal Valko, Branislav Kveton, Hamed Valizadegan +2
In this paper, we consider the problem of conditional anomaly detection that aims to identify data instances with an unusual response or a class label. We develop a new non-paramet…
Multiplicity Boost Of Transit Signal Classifiers: Validation of 69 New Exoplanets Using The Multiplicity Boost of ExoMiner
Hamed Valizadegan, Miguel J. S. Martinho, Jon M. Jenkins +3
Most existing exoplanets are discovered using validation techniques rather than being confirmed by complementary observations. These techniques generate a score that is typically t…
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier that Validates 301 New Exoplanets
Hamed Valizadegan, Miguel Martinho, Laurent S. Wilkens +10
The kepler and TESS missions have generated over 100,000 potential transit signals that must be processed in order to create a catalog of planet candidates. During the last few yea…
Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems
Igor Melnyk, Arindam Banerjee, Bryan Matthews +1
In this work we consider the problem of anomaly detection in heterogeneous, multivariate, variable-length time series datasets. Our focus is on the aviation safety domain, where da…
Relative Comparison Kernel Learning with Auxiliary Kernels
Eric Heim, Hamed Valizadegan, Milos Hauskrecht
In this work we consider the problem of learning a positive semidefinite kernel matrix from relative comparisons of the form: "object A is more similar to object B than it is to C"…