Lista de obras - Kiri L. Wagstaff - Dominio Público Uruguay

A Machine Learning Classifier for Fast Radio Burst Detection at the VLBA ⬇️

scholarly article by Kiri L. Wagstaff et al published 22 June 2016 in Publications of the Astronomical Society of the Pacific

A framework for collaborative review of candidate events in high data rate streams: the V-FASTR experiment as a case study

artículo científico publicado en 2014

A framework for interpreting fast radio transients search experiments: application to the V-FASTR experiment ⬇️

artículo científico publicado en 2013

Active Constrained Clustering by Examining Spectral Eigenvectors

article by Qianjun Xu et al published 2005 in Lecture Notes in Computer Science

Active Learning with Irrelevant Examples

Agile Science for Primitive Bodies and Deep Space Exploration

Alpha seeding for support vector machines

An evaluation of information-theoretic methods for detecting structural microbial biosignatures

artículo científico

Autonomous real-time detection of plumes and jets from moons and comets ⬇️

artículo científico publicado en 2014

Autonomy for remote sensing — Experiences from the IPEX CubeSat

article published in 2015

Characterization of a sulfur-rich Arctic spring site and field analog to Europa using hyperspectral data

article

Classification of ASKAP VAST Radio Light Curves

Clustering with Constraints

Clustering with Missing Values: No Imputation Required

Computing in Astronomy: Applications and Examples

scholarly article by F. Alexander Bogert et al published September 2014 in Computer

Confidence-Based Feature Acquisition to Minimize Training and Test Costs

article published in 2010

Data Clustering

artículo científico publicado en 2012

Detection of fast radio transients with multiple stations: a case study using the very long baseline array ⬇️

artículo científico publicado en 2011

Dynamic Landmarking for Surface Feature Identification and Change Detection

Enhanced flyby science with onboard computer vision: Tracking and surface feature detection at small bodies

scholarly article by Thomas J. Fuchs et al published October 2015 in Earth and Space Science

Fast Transient Detection as a Prototypical “Big Data” Problem

article

Field demonstration of an instrument performing automatic classification of geologic surfaces

artículo científico

Forecasting space weather: Predicting interplanetary shocks using neural networks

Generalized clustering, supervised learning, and data assignment

Improving onboard analysis of Hyperion images by filtering mislabeled training data examples

article

Introduction

article published in 2008

K-means in space

Learning user preferences for sets of objects

Limits on fast radio bursts from four years of the V-FASTR experiment ⬇️

artículo científico publicado en 2016

Limits on the event rates of fast radio transients from the V-FASTR experiment ⬇️

scholarly article

Machine learning for science and society

scholarly article by Cynthia Rudin & Kiri L. Wagstaff published 28 November 2013 in Machine Learning

Machine learning in space: extending our reach

scholarly article by Amy McGovern & Kiri L. Wagstaff published 30 April 2011 in Machine Learning

Marginalia in the digital age: Are digital reading devices meeting the needs of today's readers?

Measuring Constraint-Set Utility for Partitional Clustering Algorithms

scholarly article by Ian Davidson et al published 2006 in Lecture Notes in Computer Science

Mining GPS Traces for Map Refinement

article by Stefan Schroedl et al published July 2004 in Data Mining and Knowledge Discovery

Modelling and learning user preferences over sets

Multidocument summarization via information extraction

Multiple-Instance Regression with Structured Data

scholarly article published December 2008

Observations of the north polar water ice annulus on Mars using THEMIS and TES

On-board analysis of uncalibrated data for a spacecraft at mars

Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission

Onboard detection of natural sulfur on a glacier via a SVM and Hyperion data

Onboard machine learning classification of images by a cubesat in Earth orbit

scholarly article by David R. Thompson et al published 16 June 2015 in AI matters

Online Classification for Time-Domain Astronomy ⬇️

scholarly article published December 2013

Progressive refinement for support vector machines

Robotic space exploration agents

artículo científico publicado en 2017

Semi-supervised Eigenbasis novelty detection

Simulating and Detecting Radiation-Induced Errors for Onboard Machine Learning

scholarly article published July 2009

Surface Sulfur Detection via Remote Sensing and Onboard Classification

The Smart/Empire TIPSTER IR system

The VLBA Fast Radio Transient Experiment: Progress and Early Results

Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning

artículo científico publicado en 2019

Lista de obras de Kiri L. Wagstaff

A Machine Learning Classifier for Fast Radio Burst Detection at the VLBA ⬇️

A framework for collaborative review of candidate events in high data rate streams: the V-FASTR experiment as a case study

A framework for interpreting fast radio transients search experiments: application to the V-FASTR experiment ⬇️

Active Constrained Clustering by Examining Spectral Eigenvectors

Active Learning with Irrelevant Examples

Agile Science for Primitive Bodies and Deep Space Exploration

Alpha seeding for support vector machines

An evaluation of information-theoretic methods for detecting structural microbial biosignatures

Autonomous real-time detection of plumes and jets from moons and comets ⬇️

Autonomy for remote sensing — Experiences from the IPEX CubeSat

Characterization of a sulfur-rich Arctic spring site and field analog to Europa using hyperspectral data

Classification of ASKAP VAST Radio Light Curves

Clustering with Constraints

Clustering with Missing Values: No Imputation Required

Computing in Astronomy: Applications and Examples

Confidence-Based Feature Acquisition to Minimize Training and Test Costs

Data Clustering

Detection of fast radio transients with multiple stations: a case study using the very long baseline array ⬇️

Dynamic Landmarking for Surface Feature Identification and Change Detection

Enhanced flyby science with onboard computer vision: Tracking and surface feature detection at small bodies

Fast Transient Detection as a Prototypical “Big Data” Problem

Field demonstration of an instrument performing automatic classification of geologic surfaces

Forecasting space weather: Predicting interplanetary shocks using neural networks

Generalized clustering, supervised learning, and data assignment

Improving onboard analysis of Hyperion images by filtering mislabeled training data examples

Introduction

K-means in space

Learning user preferences for sets of objects

Limits on fast radio bursts from four years of the V-FASTR experiment ⬇️

Limits on the event rates of fast radio transients from the V-FASTR experiment ⬇️

Machine learning for science and society

Machine learning in space: extending our reach

Marginalia in the digital age: Are digital reading devices meeting the needs of today's readers?

Measuring Constraint-Set Utility for Partitional Clustering Algorithms

Mining GPS Traces for Map Refinement

Modelling and learning user preferences over sets

Multidocument summarization via information extraction

Multiple-Instance Regression with Structured Data

Observations of the north polar water ice annulus on Mars using THEMIS and TES

On-board analysis of uncalibrated data for a spacecraft at mars

Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission

Onboard detection of natural sulfur on a glacier via a SVM and Hyperion data

Onboard machine learning classification of images by a cubesat in Earth orbit

Online Classification for Time-Domain Astronomy ⬇️

Progressive refinement for support vector machines

Robotic space exploration agents

Semi-supervised Eigenbasis novelty detection

Simulating and Detecting Radiation-Induced Errors for Onboard Machine Learning

Surface Sulfur Detection via Remote Sensing and Onboard Classification

The Smart/Empire TIPSTER IR system

The VLBA Fast Radio Transient Experiment: Progress and Early Results

Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning

Using machine learning to reduce observational biases when detecting new impacts on Mars

V-FASTR: the VLBA fast radio transients experiment ⬇️

VAST: An ASKAP Survey for Variables and Slow Transients

Value, Cost, and Sharing: Open Issues in Constrained Clustering

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