Addressing class imbalance in deep learning for acoustic target classification

Deep Semisupervised Semantic Segmentation in Multifrequency Echosounder Data

(2023) Changkyu Choi et al.   IEEE JOURNAL OF OCEANIC ENGINEERING

Influence of Class Imbalance and Resampling on Classification Accuracy of Chronic Kidney Disease Detection

(2023) Ayodeji Olalekan Salau et al.   Mathematical Modelling of Engineering Problems

AlexNet, AdaBoost and Artificial Bee Colony Based Hybrid Model for Electricity Theft Detection in Smart Grids

(2022) Ashraf Ullah et al.   IEEE Access

Acoustic Classification of Juvenile Pacific Salmon (Oncorhynchus spp) and Pacific Herring (Clupea pallasii) Schools Using Random Forests

(2022) Shani Rousseau et al.   Frontiers in Marine Science

Evaluation of echosounder data preparation strategies for modern machine learning models

(2022) Alba Ordoñez et al.   FISHERIES RESEARCH

An introduction to distributed training of deep neural networks for segmentation tasks with large seismic datasets

(2021) Claire Birnie et al.   GEOPHYSICS

Semi-supervised target classification in multi-frequency echosounder data

(2021) Changkyu Choi et al.   ICES JOURNAL OF MARINE SCIENCE

Colour maps for fisheries acoustic echograms

(2019) Robert E Blackwell et al.   ICES JOURNAL OF MARINE SCIENCE

Acoustic classification in multifrequency echosounder data using deep convolutional neural networks

(2019) Olav Brautaset et al.   ICES JOURNAL OF MARINE SCIENCE

A systematic study of the class imbalance problem in convolutional neural networks

(2018) Mateusz Buda et al.   NEURAL NETWORKS

Clustering-based undersampling in class-imbalanced data

(2017) Wei-Chao Lin et al.   INFORMATION SCIENCES

Collective structures anchor massive schools of lesser sandeel to the seabed, increasing vulnerability to fishery

(2017) E Johnsen et al.   MARINE ECOLOGY PROGRESS SERIES

Collective structures anchor massive schools of lesser sandeel to the seabed, increasing vulnerability to fishery

(2017) E Johnsen et al.   MARINE ECOLOGY PROGRESS SERIES

The distribution of blue whiting west of the British Isles and Ireland

(2016) Sven Gastauer et al.   FISHERIES RESEARCH

Boosted Near-miss Under-sampling on SVM ensembles for concept detection in large-scale imbalanced datasets

(2016) Lei Bao et al.   NEUROCOMPUTING

Deep learning

(2015) Yann LeCun et al.   NATURE

Neighbourhood sampling in bagging for imbalanced data

(2015) Jerzy Błaszczyński et al.   NEUROCOMPUTING

Classifying imbalanced data sets using similarity based hierarchical decomposition

(2015) Cigdem Beyan et al.   PATTERN RECOGNITION

Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems

(2015) Wing W. Y. Ng et al.   IEEE Transactions on Cybernetics

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

ON MULTI-CLASS COST-SENSITIVE LEARNING

(2010) Zhi-Hua Zhou et al.   COMPUTATIONAL INTELLIGENCE

Size-dependent frequency response of sandeel schools

(2009) E. Johnsen et al.   ICES JOURNAL OF MARINE SCIENCE