2024
ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation
Hyeongji Kim, Changkyu Choi, Michael Christian Kampffmeyer, Terje Berge, Pekka Parviainen, Ketil Malde
Lecture Notes in Computer Science (LNCS)
2024
Trajectory-based fish event classification through pre-training with diffusion models
Noemi Canovi, Benjamin A. Ellis, Tonje Knutsen Sørdalen, Vaneeda Allken, Kim Aleksander Tallaksen Halvorsen, Ketil Malde, Cigdem Beyan
Ecological Informatics
82
2023
Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary
Hyeongji Kim, Pekka Parviainen, Ketil Malde
Proceedings of the Northern Lights Deep Learning Workshop
2023
A contrastive learning approach for individual re-identification in a wild fish population
Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Aleksander Tallaksen Halvorsen
Proceedings of the Northern Lights Deep Learning Workshop
4
2023
Age interpretation of cod otoliths using deep learning
Endre Moen, Rune Vabø, Szymon Smolinski, Côme Denechaud, Nils Olav Handegard, Ketil Malde
Ecological Informatics
2023
Annotating otoliths with a deep generative model
Troels Arnfred Bojesen, Côme Denechaud, Ketil Malde
ICES Journal of Marine Science
2023
Machine learning in marine ecology: an overview of techniques and applications
Peter Rubbens, Stephanie Brodie, Tristan Cordier, Diogo Desto Barcellos, Paul DeVos, Jose A Fernandes-Salvador, Jennifer Fincham, Alessandra Gomes, Nils Olav Handegard, Kerry L. Howell, Cédric Jamet, Kyrre Heldal Kartveit, Hassan Moustahfid, Clea Parcerisas, Dimitris V. Politikos, Raphaëlle Sauzède, Maria Sokolova, Laura Uusitalo, Laure Van den Bulcke, Aloysius van Helmond, Jordan T. Watson, Heather Welch, Oscar Beltran-Perez, Samuel Chaffron, David S. Greenberg, Bernhard Kühn, Rainer Kiko, Madiop Lo, Rubens M. Lopes, Klas Ove Möller, William Michaels, Ahmet Pala, Jean-Baptiste Romagnan, Pia Schuchert, Vahid Seydi, Sebastian Villasante, Ketil Malde, Jean-Olivier Irisson
ICES Journal of Marine Science
80
p. 1829-1853
2023
Machine learning in marine ecology: an overview of techniques and applications
Peter Rubbens, Stephanie Brodie, Tristan Cordier, Diogo Desto Barcellos, Paul DeVos, Jose A Fernandes-Salvador, Jennifer Fincham, Alessandra Gomes, Nils Olav Handegard, Kerry L. Howell, Cédric Jamet, Kyrre Heldal Kartveit, Hassan Moustahfid, Clea Parcerisas, Dimitris V. Politikos, Raphaëlle Sauzède, Maria Sokolova, Laura Uusitalo, Laure Van den Bulcke, Aloysius van Helmond, Jordan T. Watson, Heather Welch, Oscar Beltran-Perez, Samuel Chaffron, David S. Greenberg, Bernhard Kühn, Rainer Kiko, Madiop Lo, Rubens M. Lopes, Klas Ove Möller, William Michaels, Ahmed Pala, Jean-Baptiste Romagnan, Pia Schuchert, Vahid Seydi, Sebastian Villasante, Ketil Malde, Jean-Olivier Irisson
ICES Journal of Marine Science
80
p. 1829-1853
2022
The salmon louse genome may be much larger than sequencing suggests
Grace Wyngaard, Rasmus Skern-Mauritzen, Ketil Malde, Rachel Prendergast, Stefano Peruzzi
Scientific Reports
12
p. 1-14
2022
DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images
Dimitris V. Politikos, Nikolaos Sykiniotis, Georgios Petasis, Pavlos Dedousis, Alba Ordonez, Rune Vabø, Aikaterini Anastasopoulou, Endre Moen, Chryssi Mytilineou, Arnt-Børre Salberg, Archontia Chatzispyrou, Ketil Malde
Fishes
7
2021
A real-world dataset and data simulation algorithm for automated fish species identification
Vaneeda Allken, Shale Pettit Rosen, Nils Olav Handegard, Ketil Malde
Geoscience Data Journal
2021
Automatic interpretation of salmon scales using deep learning
Rune Vabø, Endre Moen, Szymon Smolinski, Åse Husebø, Nils Olav Handegard, Ketil Malde
Ecological Informatics
63
2021
A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images
Vaneeda Allken, Shale Pettit Rosen, Nils Olav Handegard, Ketil Malde
ICES Journal of Marine Science
78
p. 3780-3792
2021
The salmon louse genome: Copepod features and parasitic adaptations
Rasmus Skern-Mauritzen, Ketil Malde, Christiane Eichner, Michael Dondrup, Tomasz Furmanek, Francois Besnier, Anna Zofia Komisarczuk, Michael Nuhn, Sussie Dalvin, Rolf Brudvik Edvardsen, Sven Klages, Bruno Huettel, Kurt Stueber, Sindre Grotmol, Egil Erlingsson Karlsbakk, Paul Kersey, Jong S Leong, Kevin Alan Glover, Richard Reinhardt, Sigbjørn Lien, Inge Jonassen, Ben F Koop, Frank Nilsen
Genomics
113
p. 3666-3680
2020
Genome wide analysis reveals genetic divergence between Goldsinny wrasse populations
Eeva Jansson, Francois Besnier, Ketil Malde, Carl André, Geir Dahle, Kevin Glover
BMC Genetics
21
p. 1-15
2020
Acoustic classification in multifrequency echosounder data using deep convolutional neural networks
Olav Brautaset, Anders Ueland Waldeland, Espen Johnsen, Ketil Malde, Line Eikvil, Arnt-Børre Salberg, Nils Olav Handegard
ICES Journal of Marine Science
77
p. 1391-1400
2020
Machine intelligence and the data-driven future of marine science
Ketil Malde, Nils Olav Handegard, Line Eikvil, Arnt Børre Salberg
ICES Journal of Marine Science
2020
Microbial communities associated with the parasitic copepod Lepeophtheirus salmonis.
Sussie Dalvin, Kai Ove Skaftnesmo, Ketil Malde, Kevin Glover, Jong S Leong, Ben F. Koop, Rolf Brudvik Edvardsen, Nina Sandlund
Marine Genomics
49
2019
An efficient protocol and data set for automated otolith image analysis
Savannah Carolyn Myers, Anders Thorsen, Szymon Smolinski, Jane Aanestad Godiksen, Ketil Malde, Nils Olav Handegard
Geoscience Data Journal
p. 1-9
2019
Airgun blasts used in marine seismic surveys have limited effects on mortality, and no sublethal effects on behaviour or gene expression, in the copepod Calanus finmarchicus
David M. Fields, Nils Olav Handegard, John Dalen, Christiane Eichner, Ketil Malde, Ørjan Karlsen, Anne Berit Skiftesvik, Caroline Durif, Howard Browman
ICES Journal of Marine Science
76
p. 2033-2044
2019
Machine intelligence and the data-driven future of marine science
Ketil Malde, Nils Olav Handegard, Line Eikvil, Arnt-Børre Salberg.
ICES Journal of Marine Science
2019
Microbial communities associated with the parasitic copepod Lepeophtheirus salmonis.
Sussie Dalvin, Kai Ove Skaftnesmo, Ketil Malde, Kevin Alan Glover, Jong Leong, Ben Koop, Rolf Brudvik Edvardsen, Nina Sandlund.
Marine Genomics
In Press
2019
\emph{Airgun blasts used in marine seismic surveys have a minor effect on survival at distances less than 10 m and no sub-lethal effects on behaviour or gene expression in the copepod Calanus finmarchicus}
David M Fields, Nils Olav Handegard, John Dalen, Christiane Eichner, Ketil Malde, Ørjan Karlsen, Anne Berit Skiftesvik, Caroline M. F. Durif, Howard I Browman.
ICES Journal of Marine Science
In press
2019
Levels and temporal trends of persistent organic pollutants (POPs) in Atlantic cod (Gadus morhua) and haddock (Melanogrammus aeglefinus) from the southern Barents Sea
Stepan Boitsov, Bjørn Einar Grøsvik, Guri Nesje, Ketil Malde, Jarle Klungsøyr
Environmental Research
172
p. 89-97
2018
Automatic interpretation of otoliths using deep learning
Endre Moen, Nils Olav Handegard, Vaneeda Allken, Ole Thomas Albert, Alf Harbitz, Ketil Malde
PLOS ONE
13
p. 1-14
2018
Fish species identification using a convolutional neural network trained on synthetic data
Vaneeda Allken, Nils Olav Handegard, Shale Rosen, Tiffanie Schreyeck, Thomas Mahiout, Ketil Malde
ICES Journal of Marine Science
76
p. 342-349
2018
Judging a salmon by its spots: Environmental variation is the primary determinant of spot patterns in Salmo salar
Katarina Mariann Jørgensen, Monica Favnebøe Solberg, Francois Besnier, Anders Thorsen, Per Gunnar Fjelldal, Øystein Skaala, Ketil Malde, Kevin Glover
BMC Ecology
18:14
p. 1-13
2017
Whole genome resequencing reveals diagnostic markers for investigating global migration and hybridization between minke whale species
Ketil Malde, Bjørghild Breistein Seliussen, Maria Quintela Sanchez, Geir Dahle, Francois Besnier, Hans J. Skaug, Nils Inge Øien, Hiroko Kato Solvang, Tore Haug, Rasmus Skern-Mauritzen, Naohisa Kanda, Luis A. Pastene, Inge Jonassen, Kevin Glover
BMC Genomics
18:76
p. 1-11
2015
Characterization of a novel RXR receptor in the salmon louse (Lepeophtheirus salmonis, Copepoda) regulating growth and female reproduction
Christiane Eichner, Sussie Trine Dalvin, Rasmus Skern-Mauritzen, Ketil Malde, Heidi Kongshaug, Frank Nilsen
BMC Genomics
16:81
2014
Estimating the information value of polymorphic sites using pooled sequences
Malde, Ketil
BMC Genomics
15
2014
Human-induced evolution caught in action: SNP-array reveals rapid amphi-atlantic spread of pesticide resistance in the salmon ecotoparasite Lepeophtheirus salmonis
Francois Besnier, Matthew Peter Kent, Rasmus Skern-Mauritzen, Sigbjørn Lien, Ketil Malde, Rolf Edvardsen, Simon Taylor, Lina Ljungfeldt, Frank Nilsen, Kevin Glover
BMC Genomics
2014
Gene expression in five salmon louse (Lepeophtheirus salmonis, Krøyer 1837) tissues
Rolf Edvardsen, Sussie Trine Dalvin, Tomasz Furmanek, Ketil Malde, Stig Mæhle, Bjørn Olav Kvamme, Rasmus Skern-Mauritzen
Marine Genomics
18
p. 39-44
2014
Simulating a population genomics data set using FlowSim
Malde, Ketil
BMC Research Notes
7:68
2013
How does sequence variability affect de novo assembly quality?
Rasmus Skern-Mauritzen, Ketil Malde, Francois Besnier, Frank Nilsen, Inge Jonassen, Richard Reinhardt, Ben F. Koop, Sussie Trine Dalvin, Stig Mæhle, Heidi Kongshaug, Kevin Glover
Journal of Natural History
47
p. 901-910
2013
Increasing Sequence Search Sensitivity with Transitive Alignments
Ketil Malde, Tomasz Furmanek
PLOS ONE
8
2013
Filtering duplicate reads from 454 pyrosequencing data
Susanne Balzer, Ketil Malde, Markus A. Grohme, Inge Jonassen
Bioinformatics
29
p. 830-836
2012
Maternal 3 ' UTRs: from egg to onset of zygotic transcription in Atlantic cod
Lene Kleppe, Rolf Edvardsen, H Kuhl, Ketil Malde, Tomasz Furmanek, O Drivenes, R Reinhardt, Geir Lasse Taranger, Anna Wargelius
BMC Genomics
13
2011
The genome sequence of Atlantic cod reveals a unique immune system
Bastiaan Star, Alexander Johan Nederbragt, Sissel Jentoft, Unni Grimholt, Martin Malmstrøm, Tone Fredsvik Gregers, Trine Ballestad Rounge, Jonas Paulsen, Monica Hongrø Solbakken, Animesh Sharma, Ola Frang Wetten, Anders Lanzén, Roger Winer, James Knight, Jan-Hinnerk Vogel, Bronwen Aken, Øivind Andersen, Karin Lagesen, Ave Tooming-Klunderud, Rolf Edvardsen, G. Tina Kirubakaran, Mari Espelund, Chirag Nepal, A. Christopher Previti, Bård Ove Karlsen, Truls Moum, Morten Skage, Paul Ragnar Berg, Tor Gjøen, Heiner Kuhl, Jim Thorsen, Ketil Malde, Richard Reinhardt, Lei Du, Steinar Daae Johansen, Steve Searle, Sigbjørn Lien, Frank Nilsen, Inge Jonassen, Stig W Omholt, Nils Christian Stenseth, Kjetill Sigurd Jakobsen
Nature
477
p. 207-210
2011
Systematic exploration of error sources in pyrosequencing flowgram data
Susanne Balzer, Ketil Malde, Inge Jonassen
Bioinformatics
27
p. I304-I309
2011
EST resources and establishment and validation of a 16 k cDNA microarray from Atlantic cod (Gadus morhua)
Rolf Edvardsen, Ketil Malde, Christian Mittelholzer, Geir Lasse Taranger, Frank Nilsen
Comparative Biochemistry and Physiology - Part D:Genomics and Proteomics
6
p. 23-30
2011
Flower: extracting information from pyrosequencing data
Malde, Ketil
Bioinformatics
27
p. 1041-1042
2011
Identification of vimentin- and elastin-like transcripts specifically expressed in developing notochord of Atlantic salmon (Salmo salar L.)
Anita Sagstad, Sindre Grotmol, Harald Kryvi, Christel Krossøy, Geir Kåre Totland, Ketil Malde, Shou Wang, Tom Johnny Hansen, Anna Sofie Troedsson Wargelius
Cell and Tissue Research
346
p. 191-202
2010
Calcium from salmon and cod bone is well absorbed in young healthy men: a double-blinded randomised crossover design
Marian Kjellevold Malde, S Bugel, M. Kristensen, Ketil Malde, Ingvild Eide Graff, Jan I Pedersen
Nutrition & Metabolism
7
2010
Characteristics of 454 pyrosequencing data-enabling realistic simulation with flowsim
Susanne Balzer, Ketil Malde, Anders Lanzén, Animesh Sharma, Inge Jonassen
Bioinformatics
26
p. i420-i425
2009
Identification of immune related genes in Atlantic halibut (Hippoglossus hippoglossus L.) following in vivo antigenic and in vitro mitogenic stimulation
Sonal Patel, Kjetil Malde, Anders Lanzén, Rolf Hetlelid Olsen, Audun H. Nerland
Fish and Shellfish Immunology
27
p. 729-738
2008
The effect of sequence quality on sequence alignment
Malde, Ketil
Bioinformatics
24
p. 897-900
2008
Repeats and EST analysis for new organisms
Ketil Malde, Inge Jonassen
BMC Genomics
9
2006
Calculating PSSM probabilities with lazy dynamic programming
Ketil Malde, Robert Giegerich
Journal of functional programming
16
p. 75-81
2006
RBR: library-less repeat detection for ESTs
Ketil Malde, Korbinian Schneeberger, Eivind Coward, Inge Jonassen
Bioinformatics
22
p. 2232-2236
2005
A graph based algorithm for generating EST consensus sequences
Ketil Malde, Eivind Coward, Inge Jonassen
Bioinformatics
21
p. 1371-1375
2005
Masking repeats while clustering ESTs
Korbinian Schneeberger, Ketil Malde, Eivind Coward, Inge Jonassen
Nucleic Acids Research (NAR)
33
p. 2176-2180
2003
Fast Sequence Clustering Using a Suffix Array Algorithm
Ketil Malde, Eivind Coward, Inge Jonassen
Bioinformatics
19
p. 1221-1226
2003
A Fast Algorithm for EST Clustering using Suffix Arrays
Ketil Malde, Eivind Coward, Inge Jonasen
Bioinformatics
2024
Processing of large datasets using python and Korona
Inge Kristian Eliassen, Ketil Malde
2024
Analysing large amounts of echosounder data using cloud based data access combined with deep learning models
Nils Olav Handegard, Leif Bildøy, Olav Brautaset, Tomasz Furmanek, Arne Johannes Holmin, Ahmet Pala, Ingrid Utseth, Ketil Malde
2024
Decoding female mimicry in a fish using deep learning
Tonje Knutsen Sørdalen, Ketil Malde, Kim Aleksander Tallaksen Halvorsen
2024
Deep Learning for Fisheries Acoustics
Ahmet Pala, Nils Olav Handegaard, Guttorm Alendal, Ketil Malde
2024
Fisheries acoustics and deep learning
Nils Olav Handegard, Leif Bildøy, Olav Brautaset, Tomasz Furmanek, Arne Johannes Holmin, Ingrid Utseth, Ketil Malde
2024
Annotation-Free Feature Learning for Improved Acoustic Target Classification
Ahmet Pala, Anna Oleynik, Ketil Malde, Nils Olav Handegard
2024
Unraveling Acoustic Signal Patterns in Fisheries Through DINO-Based Self-Supervised Learning
Ahmet Pala, Anna Oleynik, Ketil Malde, Nils Olav Handegard
2023
Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary
Ketil Malde, Pekka Parviainen, Hyeongji Kim
2023
A story about data extraction and deep learning applied to fishery acoustic data
Nils Olav Handegard, Leif Bildøy, Olav Brautaset, Tomasz Furmanek, Arne Johannes Holmin, Ingrid Utseth, Sindre Vatnehol, Ketil Malde
2022
Artificial Intelligence methods for fisheries management
Malde, Ketil
2022
An online otolith age reader using deep neural networks: Perspectives and challenges
Dimitris V. Politikos, Nikolaos Sykiniotis, Georgios Petasis, Pavlos Dedousis, Alba Ordonez, Rune Vabø, Aikaterini Anastasopoulou, Endre Moen, Chryssi Mytilineou, Arnt-Børre Salberg, Archontia Chatzispyrou, Ketil Malde
2022
Using deep learning models to count and identify fish species from in-trawl images
Vaneeda Allken, Thor Aleksander Klevjer, Kristoffer Løvall, Ketil Malde, Shale Pettit Rosen, Eugenie Heliana Taraneh Westergerling, Nils Olav Handegard
2022
Exploring imaging protocols and neural network architectures for automated otolith analysis
Endre Moen, Rune Vabø, Come Denechaud, Szymon Smolinski, Ketil Malde
2022
Selecting maximally informative frequency subsets for acoustic surveys
Knut T. A. Holager, Nils Olav Handegard, Ketil Malde
2022
A deep learning approach for individual re-identification (re-ID) of fish in the wild
Vaneeda Allken, Tonje Knutsen Sørdalen, Cigdem Beyan, Ketil Malde, Howard Browman, Kim Aleksander Tallaksen Halvorsen
2021
Combined trawl-mounted optic and acoustic methods to study the mesopelagic ecosystem
Shale Pettit Rosen, Eva Garcia Seoane, Melanie Underwood, Thor Aleksander Klevjer, Gavin John Macaulay, Mette Dalgaard Agersted, Webjørn Raunsgård Melle, Nils Olav Handegard, Ketil Malde, Vaneeda Allken
2019
Using a CNN trained on synthetic data for fish species identification
Vaneeda Allken, Nils Olav Handegard, Shale Rosen, Ketil Malde
2019
Using a CNN trained on synthetic data for fish species identification
Vaneeda Allken, Nils Olav Handegard, Shale Rosen, Ketil Malde
2019
The COGMAR project
Arnt Børre Salberg, Line Eikvil, Ketil Malde, Nils Olav Handegard
2018
Drowning in data: Can deep learning approaches be the solution?
Nils Olav Handegard, Vaneeda Allken, Ketil Malde
2016
Big Data og Big Analysis - hvordan drikke fra brannslangen
Malde, Ketil
2015
Insitute of Marine Research - a research and advisory institute
Malde, Ketil
2013
Identifying diagnostic SNPs in the presence of sequencing errors
Malde, Ketil
2013
Can Software Transactional Memory make concurrent programs simple and safe?
Malde, Ketil
2012
Attempts to induce sterility in Atlantic salmon by morfolino and zink finger techniques
Anna Wargelius, Rolf Edvardsen, Trine Haugen, Ståle Ellingsen, Eva Andersson, Ketil Malde, Ørjan Karlsen, Per Gunnar Fjelldal, Geir Lasse Taranger, Øyvind Drivenes
2012
Transcriptomic analysis of the salmon louse
Rolf Edvardsen, Stig Mæhle, Tomasz Furmanek, Ketil Malde, Bjørn Olav Kvamme, Sussie Trine Dalvin, Rasmus Skern-Mauritzen
2012
The Salmon Louse Genome Project
Rasmus Skern-Mauritzen, Ketil Malde, Tomasz Furmanek, Richard Reinhardt, Ben F Koop, Frank Nilsen
2011
Maternal 3'UTRs: from egg to onset of zygotic transcription in Atlantic cod
Lene Kleppe, Rolf Edvardsen, Heiner Kuhl, Ketil Malde, Tomasz Furmanek, Øyvind Drivenes, Richard Reinhardt, Geir Lasse Taranger, Anna Wargelius
2009
Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell
Ketil Malde, Bryan O'Sullivan
2002
A Fast Algorithm for EST Clustering using Suffix Trees
Ketil Malde, Eivind Coward, Inge Jonasen