M
Monique A. Ladds
Researcher at Wellington Management Company
Publications - 27
Citations - 664
Monique A. Ladds is an academic researcher from Wellington Management Company. The author has contributed to research in topics: Natural disaster & Economic impact analysis. The author has an hindex of 10, co-authored 26 publications receiving 530 citations. Previous affiliations of Monique A. Ladds include Victoria University of Wellington & Macquarie University.
Papers
More filters
Book ChapterDOI
Changes in impacts of climate extremes: Human systems and ecosystems
John Handmer,Yasushi Honda,Zbigniew W. Kundzewicz,Nigel W. Arnell,Gerardo Benito,Jerry L. Hatfield,Ismail Fadl Mohamed,Pascal Peduzzi,Shaohong Wu,Boris Sherstyukov,Kiyoshi Takahashi,Zheng Yan,Sebastián Vicuña,Avelino Suarez,Amjad Abdulla,Laurens M. Bouwer,John Campbell,Masahiro Hashizume,Fred F. Hattermann,Robert Heilmayr,Adriana Keating,Monique A. Ladds,Katharine J. Mach,Michael D. Mastrandrea,Reinhard Mechler,Carlos Nobre,Apurva Sanghi,James A. Screen,Joel B. Smith,Adonis F. Velegrakis,Walter Vergara,Anya M. Waite,Jason R. Westrich,Joshua Whittaker,Yin Yunhe,Hiroya Yamano +35 more
TL;DR: In this article, two types of impacts on human and ecological systems are examined: (i) impacts of extreme weather and climate events; and (ii) extreme impacts triggered by less-than-extreme weather or climate events (in combination with nonclimatic factors, such as high exposure and/or vulnerability).
Journal ArticleDOI
Super machine learning: improving accuracy and reducing variance of behaviour classification from accelerometry
Monique A. Ladds,Adam P. Thompson,Julianna-Piroska Kadar,David J. Slip,David P. Hocking,Robert Harcourt +5 more
TL;DR: This work used a new method, super learning, that combines base learners in an optimal manner to achieve overall improved accuracy and found that all criteria tested contributed to the models’ overall accuracies.
Journal ArticleDOI
How much do disasters cost? A comparison of disaster cost estimates in Australia
TL;DR: In this article, the authors examined five examples of aggregate disaster loss and impacts of natural disasters in Australia, and comparisons between them reveal significant data shortcomings, and highlighted the need for consistent and comparable data collection and analysis, to respond to the increasing frequency and severity of disasters.
Journal ArticleDOI
Seeing It All: Evaluating Supervised Machine Learning Methods for the Classification of Diverse Otariid Behaviours.
Monique A. Ladds,Adam P. Thompson,David J. Slip,David J. Slip,David P. Hocking,Robert Harcourt +5 more
TL;DR: Results show that model selection is important when classifying behaviour and that by using animal characteristics the authors can strengthen the overall accuracy, as well as investigating the influence of feature statistics.
Journal ArticleDOI
Chew, shake, and tear: Prey processing in Australian sea lions (Neophoca cinerea)
David P. Hocking,David P. Hocking,Monique A. Ladds,Monique A. Ladds,David J. Slip,Erich M. G. Fitzgerald,Alistair R. Evans,Alistair R. Evans +7 more
TL;DR: This study explored the range of prey-processing behaviors used by Australian sea lions when presented with large prey during captive feeding trials and found that sea lions used chewing to create weak points in large prey to aid further processing and to prepare secured pieces of prey for swallowing.