Fast Sequence Clustering Using A Suffix Array Algorithm. - Ketil Malde; Eivind Coward; Inge Jonassen (Bioinform., 2003)

A graph based algorithm for generating EST consensus sequences. - Ketil Malde; Eivind Coward; Inge Jonassen (Bioinform., 2005)

RBR: library-less repeat detection for ESTs. - Ketil Malde; Korbinian Schneeberger; Eivind Coward; Inge Jonassen (Bioinform., 2006)

Calculating PSSM probabilities with lazy dynamic programming. - Ketil Malde; Robert Giegerich (J. Funct. Program., 2006)

The effect of sequence quality on sequence alignment. - Ketil Malde (Bioinform., 2008)

Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell. - Ketil Malde; Bryan O'Sullivan (PADL, 2009)

Systematic exploration of error sources in pyrosequencing flowgram data. - Susanne Balzer; Ketil Malde; Inge Jonassen (Bioinform., 2011)

Characteristics of 454 pyrosequencing data - enabling realistic simulation with flowsim. - Susanne Balzer; Ketil Malde; Anders Lanzén; Animesh Sharma; Inge Jonassen (Bioinform., 2011)

Flower: extracting information from pyrosequencing data. - Ketil Malde (Bioinform., 2011)

Can Software Transactional Memory Make Concurrent Programs Simple and Safe?. - Ketil Malde (BIOINFORMATICS, 2013)

Filtering duplicate reads from 454 pyrosequencing data. - Susanne Balzer; Ketil Malde; Markus A. Grohme; Inge Jonassen (Bioinform., 2013)

Beyond image classification: zooplankton identification with deep vector space embeddings. - Ketil Malde; Hyeongji Kim (CoRR, 2019)

Proper measure for adversarial robustness. - Hyeongji Kim; Ketil Malde (CoRR, 2020)

Automatic interpretation of salmon scales using deep learning. - Rune Vabø; Endre Moen; Szymon Smolinski; Åse Husebø; Nils Olav Handegard; Ketil Malde (Ecol. Informatics, 2021)

Distance-Ratio-Based Formulation for Metric Learning. - Hyeongji Kim; Pekka Parviainen; Ketil Malde (CoRR, 2022)

Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary. - Hyeongji Kim; Pekka Parviainen; Ketil Malde (NLDL, 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 Tallaksen Halvorsen (NLDL, 2023)

Inspecting class hierarchies in classification-based metric learning models. - Hyeongji Kim; Pekka Parviainen; Terje Berge; Ketil Malde (CoRR, 2023)

Age interpretation of cod otoliths using deep learning. - Endre Moen; Rune Vabø; Szymon Smolinski; Côme Denechaud; Nils Olav Handegard; Ketil Malde (Ecol. Informatics, 2023)

ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation. - Hyeongji Kim; Changkyu Choi; Michael Kampffmeyer; Terje Berge; Pekka Parviainen; Ketil Malde (ECCV Workshops (17), 2024)

Trajectory-based fish event classification through pre-training with diffusion models. - Noemi Canovi; Benjamin A. Ellis; Tonje Knutsen Sørdalen; Vaneeda Allken; Kim Tallaksen Halvorsen; Ketil Malde; Cigdem Beyan (Ecol. Informatics, 2024)

Self-supervised feature learning for acoustic data analysis. - Ahmet Pala; Anna Oleynik; Ketil Malde; Nils Olav Handegard (Ecol. Informatics, 2024)

YASMOT: Yet another stereo image multi-object tracker. - Ketil Malde (CoRR, 2025)