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Machine intelligence and the data-driven future of marine science

ICES journal of marine science, 2020-07, Vol.77 (4), p.1274-1285

2020

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Fish species identification using a convolutional neural network trained on synthetic data

ICES journal of marine science, 2019-01, Vol.76 (1), p.342-349

2019

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The salmon louse genome may be much larger than sequencing suggests

Scientific reports, 2022-04, Vol.12 (1), p.6616-14, Article 6616

2022

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Automatic interpretation of otoliths using deep learning

PloS one, 2018-12, Vol.13 (12), p.e0204713-e0204713

2018

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Systematic exploration of error sources in pyrosequencing flowgram data

Bioinformatics, 2011-07, Vol.27 (13), p.i304-i309

2011

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Trajectory-based fish event classification through pre-training with diffusion models

Ecological informatics, 2024-09, Vol.82, p.102733, Article 102733

2024

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A real‐world dataset and data simulation algorithm for automated fish species identification

Geoscience data journal, 2021-11, Vol.8 (2), p.199-209

2021

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Increasing sequence search sensitivity with transitive alignments

PloS one, 2013-02, Vol.8 (2), p.e54422-e54422

2013

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Calcium from salmon and cod bone is well absorbed in young healthy men: a double-blinded randomised crossover design

Nutrition & metabolism, 2010-07, Vol.7 (1), p.61-61

2010

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DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images

Fishes, 2022-06, Vol.7 (3), p.121

2022

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Judging a salmon by its spots: environmental variation is the primary determinant of spot patterns in Salmo salar

BMC ecology, 2018-04, Vol.18 (1), p.14-14, Article 14

2018

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Estimating the information value of polymorphic sites using pooled sequences

BMC genomics, 2014-10, Vol.15 Suppl 6 (S6), p.S20-S20, Article S20

Malde, Ketil

2014

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An efficient protocol and data set for automated otolith image analysis

Geoscience data journal, 2020-06, Vol.7 (1), p.80-88

2020

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Maternal 3'UTRs: from egg to onset of zygotic transcription in Atlantic cod

BMC genomics, 2012-09, Vol.13 (1), p.443-443

2012

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Repeats and EST analysis for new organisms

BMC genomics, 2008-01, Vol.9 (1), p.23-23

2008

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Annotating otoliths with a deep generative model

ICES journal of marine science, 2024-01, Vol.81 (1), p.55-65

2024

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Flower: extracting information from pyrosequencing data

Bioinformatics, 2011-04, Vol.27 (7), p.1041-1042

MALDE, Ketil

2011

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A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images

ICES journal of marine science, 2021-12, Vol.78 (10), p.3780-3792

2021

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The effect of sequence quality on sequence alignment

Bioinformatics, 2008-04, Vol.24 (7), p.897-900

Malde, Ketil

2008

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Simulating a population genomics data set using FlowSim

BMC research notes, 2014-01, Vol.7 (1), p.68-68, Article 68

Malde, Ketil

2014

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Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary

Proceedings of the Northern Lights Deep Learning Workshop, 2023-01, Vol.4

2023

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Characteristics of 454 pyrosequencing data—enabling realistic simulation with flowsim

Bioinformatics, 2010-09, Vol.26 (18), p.i420-i425

2010

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Acoustic classification in multifrequency echosounder data using deep convolutional neural networks

ICES journal of marine science, 2020-07, Vol.77 (4), p.1391-1400

2020

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Genome wide analysis reveals genetic divergence between Goldsinny wrasse populations

BMC genetics, 2020-10, Vol.21 (1), p.118, Article 118

2020

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Machine intelligence and the data-driven future of marine science

Fish species identification using a convolutional neural network trained on synthetic data

The salmon louse genome may be much larger than sequencing suggests

Automatic interpretation of otoliths using deep learning

Systematic exploration of error sources in pyrosequencing flowgram data

Trajectory-based fish event classification through pre-training with diffusion models

A real‐world dataset and data simulation algorithm for automated fish species identification

Increasing sequence search sensitivity with transitive alignments

Calcium from salmon and cod bone is well absorbed in young healthy men: a double-blinded randomised crossover design

DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images

Judging a salmon by its spots: environmental variation is the primary determinant of spot patterns in Salmo salar

Estimating the information value of polymorphic sites using pooled sequences

An efficient protocol and data set for automated otolith image analysis

Maternal 3'UTRs: from egg to onset of zygotic transcription in Atlantic cod

Repeats and EST analysis for new organisms

Annotating otoliths with a deep generative model

Flower: extracting information from pyrosequencing data

A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images

The effect of sequence quality on sequence alignment

Simulating a population genomics data set using FlowSim

Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary

Characteristics of 454 pyrosequencing data—enabling realistic simulation with flowsim

Acoustic classification in multifrequency echosounder data using deep convolutional neural networks

The genome sequence of Atlantic cod reveals a unique immune system

Genome wide analysis reveals genetic divergence between Goldsinny wrasse populations

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