Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments

How do climate and catchment attributes influence flood generating processes? A large‐sample study for 671 catchments across the contiguous USA

(2021) L. Stein et al.   WATER RESOURCES RESEARCH

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

(2020) Alex Sherstinsky   PHYSICA D-NONLINEAR PHENOMENA

Spatial Dependence of Floods Shaped by Spatiotemporal Variations in Meteorological and Land‐Surface Processes

(2020) Manuela I. Brunner et al.   GEOPHYSICAL RESEARCH LETTERS

Classifying floods by quantifying driver contributions in the Eastern Monsoon Region of China

(2020) Wencong Yang et al.   JOURNAL OF HYDROLOGY

Floods due to Atmospheric Rivers along the U.S. West Coast: The Role of Antecedent Soil Moisture in a Warming Climate

(2020) Qian Cao et al.   JOURNAL OF HYDROMETEOROLOGY

Interpretable spatio-temporal attention LSTM model for flood forecasting

(2020) Yukai Ding et al.   NEUROCOMPUTING

Enhancing streamflow forecast and extracting insights using long‐short term memory networks with data integration at continental scales

(2020) Dapeng Feng et al.   WATER RESOURCES RESEARCH

Advancing opportunistic sensing in hydrology: a novel approach to measuring rainfall with ordinary surveillance cameras

(2019) Shijie Jiang et al.   WATER RESOURCES RESEARCH

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

The relative importance of different flood‐generating mechanisms across Europe

(2019) Wouter R. Berghuijs et al.   WATER RESOURCES RESEARCH

Causative classification of river flood events

(2019) Larisa Tarasova et al.   Wiley Interdisciplinary Reviews-Water

DARPA’s Explainable Artificial Intelligence (XAI) Program

(2019) David Gunning et al.   AI MAGAZINE

Identification of homogeneous regions in terms of flood seasonality using a complex network approach

(2019) Wencong Yang et al.   JOURNAL OF HYDROLOGY

On extended long short-term memory and dependent bidirectional recurrent neural network

(2019) Yuanhang Su et al.   NEUROCOMPUTING

Recent advances and applications of machine learning in solid-state materials science

(2019) Jonathan Schmidt et al.   npj Computational Materials

Definitions, methods, and applications in interpretable machine learning

(2019) W. James Murdoch et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Flash Flood Forecasting Based on Long Short-Term Memory Networks

(2019) Tianyu Song et al.   Water

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Detection of trends in magnitude and frequency of flood peaks across Europe

(2018) Walter Mangini et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks

(2018) Hendrik Strobelt et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

River flood seasonality in the Northeast United States: Characterization and trends

(2018) Mathias J. Collins   HYDROLOGICAL PROCESSES

Delineation of flood generating processes and their hydrological response

(2017) Luise Keller et al.   HYDROLOGICAL PROCESSES

Changing climate shifts timing of European floods

(2017) Günter Blöschl et al.   SCIENCE

A Genetic Programming Approach to System Identification of Rainfall-Runoff Models

(2017) Jayashree Chadalawada et al.   WATER RESOURCES MANAGEMENT

Full-flow-regime storage-streamflow correlation patterns provide insights into hydrologic functioning over the continental US

(2017) Kuai Fang et al.   WATER RESOURCES RESEARCH

Quantum-chemical insights from deep tensor neural networks

(2017) Kristof T. Schütt et al.   Nature Communications

Snowmelt rate dictates streamflow

(2016) Theodore B. Barnhart et al.   GEOPHYSICAL RESEARCH LETTERS

Fragmented patterns of flood change across the United States

(2016) S. A. Archfield et al.   GEOPHYSICAL RESEARCH LETTERS

Dominant flood generating mechanisms across the United States

(2016) Wouter R. Berghuijs et al.   GEOPHYSICAL RESEARCH LETTERS

Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal

(2015) Raquel Florez-Lopez et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning for regulatory genomics

(2015) Yongjin Park et al.   NATURE BIOTECHNOLOGY

The changing nature of flooding across the central United States

(2015) Iman Mallakpour et al.   Nature Climate Change

On the relationship between hydro-meteorological patterns and flood types

(2014) Manuela Nied et al.   JOURNAL OF HYDROLOGY

Links between flood frequency and annual water balance behaviors: A basis for similarity and regionalization

(2014) Jiali Guo et al.   WATER RESOURCES RESEARCH

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Snow cover, snowmelt timing and stream power in the Wind River Range, Wyoming

(2011) Dorothy K. Hall et al.   GEOMORPHOLOGY