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2017
1 Fortuna, João; Martens, Harald.
Multivariate data modelling for de-shadowing of airborne hyperspectral imaging. Journal of Spectral Imaging 2017 ;Volum 6.(a2) s. -
NTNU Untitled
 
2 Gale, Serge; Rahmati, Hodjatolah; Gravdahl, Jan Tommy; Martens, Harald.
Improvement of a Robotic Manipulator Model Based on Multivariate Residual Modeling. Frontiers in Robotics and AI 2017 ;Volum 4. s. -
NTNU Untitled
 
3 Olsen, Hanne Gro; Knutsen, Tim Martin; Kohler, Achim; Svendsen, Morten; Gidskehaug, Lars Halvor; Grove, Harald; Nome, Torfinn; Sodeland, Marte; Sundsaasen, Kristil Kindem; Kent, Matthew Peter; Martens, Harald; Lien, Sigbjørn.
Genome-wide association mapping for milk fat composition and fine mapping of a QTL for de novo synthesis of milk fatty acids on bovine chromosome 13. Genetics Selection Evolution 2017 ;Volum 49:20. s. 1-13
HAVFORSK NOFIMA NTNU UIA NMBU Untitled
 
4 Skjaervold, Nils Kristian; Brovold, Helge; Rahmati, Hodjatolah; Martens, Harald; Tøndel, Kristin; Cedersund, Gunnar; Munck, Lars M..
Multivariate Analyses and the Bridging of Biology's ‘Math-Gap’. I: Encyclopedia of analytical chemistry. John Wiley & Sons 2017 ISBN 9780470027318. s. 1-23
NTNU Untitled
 
5 Vitale, Raffaele; Zhyrova, Anna; Fortuna, João; de Noord, Onno E.; Ferrer, Alberto; Martens, Harald.
On-The-Fly Processing of continuous high-dimensional data streams. Chemometrics and Intelligent Laboratory Systems 2017 ;Volum 161. s. 118-129
NTNU Untitled
 
2016
6 Fortuna, João; Martens, Harald.
Multivariate Data Modelling for deshadowing and On-The-Fly self-modelling. Remote sensing; 2016-09-28 - 2016-09-28
NTNU Untitled
 
7 Fortuna, João; Martens, Harald.
Multivariate Data Modelling for De-shadowing of Airborne Hyperspectral Imaging. IASIM-2016, 6th International Conference in Spectral Imaging; 2016-07-03 - 2016-07-06
NTNU Untitled
 
8 Martens, Harald.
Bedre oversikt og mer presise alarmer i intensivovervåking ved bruk av myk datamodellering. HelsIT; 2016-04-19 - 2016-04-20
NTNU Untitled
 
9 Martens, Harald.
Big Data i kjemi - Mer matte, statistikk og informatikk, takk! men mindre macho-matematikk, Gucci-statistikk og Blind maskinæring.. Seminar; 2016-11-06 - 2016-11-06
NTNU Untitled
 
10 Martens, Harald.
BIG DATA: Keeping humans in the loop. BIG DATA: Keeping humans in the loop; 2016-12-14 - 2016-12-14
NTNU Untitled
 
11 Martens, Harald.
Brobygging mellom medisin og matematikk. FjordOmics: Medisinsk informasjonsrevolusjon; 2016-05-02 - 2016-05-03
NTNU Untitled
 
12 Martens, Harald.
Høydimensjonale datastrømmmer: Ikke Gucci-statistikk ikke Macho-matematikk ikke Blind Maskinlæring, men heller Rhythm & Blues fra data. Eksenter-aften i studenersamfunnet, Trondheim; 2016-10-06 - 2016-10-06
NTNU Untitled
 
13 Martens, Harald.
Nonlinear integrative subspace cybernetics (NISC) in the biosciences. Workshop on Machine Learning and Neuroscience; 2016-01-07 - 2016-01-07
NTNU Untitled
 
14 Martens, Harald.
Rhythm & Blues i Big Data: Matematikk uten tårer. Åpen Dat; 2016-04-27 - 2016-04-27
NTNU Untitled
 
15 Martens, Harald; Fortuna, João.
Hyperspectral video: compression & comprehension. Invitation Chemometrics & Statistics in Image Analysis; 2016-11-03 - 2016-11-03
NTNU Untitled
 
16 Martens, Harald; Fortuna, João; Reberg, Jan Otto; Skjaervold, Nils Kristian.
Høydimesjonale datastrømmer i helsesektoren. HelsIT; 2016-08-28 - 2016-08-29
NTNU Untitled
 
17 Rahmati, Hodjatolah; Martens, Harald; Aamo, Ole Morten; Stavdahl, Øyvind; Støen, Ragnhild; Adde, Lars.
Frequency analysis and feature reduction method for prediction of cerebral palsy in young infants. IEEE transactions on neural systems and rehabilitation engineering 2016 ;Volum 24.(11) s. 1225-1234
NTNU STO Untitled
 
2015
18 Kohler, Achim; Böcker, Ulrike; Shapaval, Volha; Forsmark, Annabelle; Andersson, Mats; Warringer, Jonas; Martens, Harald; Omholt, Stig William; Blomberg, Anders.
High-Throughput Biochemical Fingerprinting of Saccharomyces cerevisiae by Fourier Transform Infrared Spectroscopy. PLoS ONE 2015 ;Volum 10.(2)
NOFIMA NMBU Untitled
 
19 Martens, Harald.
Quantitative Big Data: where chemometrics can contribute. Journal of Chemometrics 2015 ;Volum 29.(11) s. 563-581
NTNU Untitled
 
20 Nhek, Sarin; Tessema, Barbara; Indahl, Ulf Geir; Martens, Harald; Mosleth, Ellen Færgestad.
2D electrophoresis image segmentation within a pixel-based framework. Chemometrics and Intelligent Laboratory Systems 2015 ;Volum 141. s. 33-46
NOFIMA NMBU Untitled
 
21 Rahmati, Hodjatolah; Martens, Harald; Aamo, Ole Morten; Stavdahl, Øyvind; Støen, Ragnhild; Adde, Lars.
Frequency-Based Features for Early Cerebral Palsy Prediction. The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 2015-08-25 - 2015-08-29
NTNU NMBU Untitled
 
22 Rahmati, Hodjatolah; Martens, Harald; Aamo, Ole Morten; Stavdahl, Øyvind; Støen, Ragnhild; Adde, Lars.
Frequency-based features for early cerebral palsy prediction. IEEE Engineering in Medicine and Biology Society. Conference Proceedings 2015 ;Volum 2015-November. s. 5187-5190
NTNU STO Untitled
 
23 Voit, Eberhard; Martens, Harald; Omholt, Stig William.
150 Years of the Mass Action Law. PloS Computational Biology 2015 ;Volum 11.(1) s. -
NTNU Untitled
 
2014
24 Martens, Harald.
From Measurements to Models and back – and forth. Virtual Human Physiome (VPH'14); 2014-09-09 - 2014-09-12
NTNU Untitled
 
25 Martens, Harald.
Measurement and modelling in six domains. 5th IASIM conference in spectral imaging; 2014-12-03 - 2014-12-05
NTNU Untitled
 
26 Martens, Harald.
Modelometrics=Multivariate Metamodelling. Årsmøte, Kjemometrisk faggruppe; 2014-04-04
NTNU Untitled
 
27 Martens, Harald.
Multivariate soft modelling in hyperspectral imaging and hyperspectral video. Joint BM1205 COST Action and NTNU workshop on Hyperspectral imaging in medicine; 2014-05-06 - 2014-05-07
NTNU Untitled
 
28 Martens, Harald.
Separating physics from chemistry in optimcal measurements bo Optimized EMSC. 17th Internatl Diffuse Reflectance conference, Chambersburg PA; 2014-08-02 - 2014-08-08
NTNU Untitled
 
29 Martens, Harald.
Sparse nominal-level PLSR with interactions. From time series data to nonlinear differential equation model. PLS 2014 - Partial Least Squares and Related Methods Conference is; 2014-05-26 - 2014-05-28
NTNU Untitled
 
30 Martens, Harald.
Storing massive amounts of multichannel measurements in a searchable, but strongly compressed format. ANAEE Computational Database Workshop; 2014-03-18
NTNU Untitled
 
31 Martens, Harald.
The importance of spectral preprocessing in data analysis for aquaphotomics. 5th Kobe University Brussels European Centre Symposium: Innovation, Environment and Globalization. Latest EU-Japan Research Collaboration; 2014-10-14 - 2014-10-15
NTNU Untitled
 
32 Martens, Harald; Fougner, Anders Lyngvi; Rahmati, Hodjatolah; Stavdahl, Øyvind; Aamo, Ole Morten.
From measurements to models and back – and forth. Virtual Physiological Human Conference 2014; 2014-09-09 - 2014-09-12
NTNU Untitled
 
33 Nordbø, Øyvind; Lamata, P.; Land, Sander; Niederer, Steven A.; Aronsen, Jan Magnus; Louch, William Edward; Sjaastad, Ivar; Martens, Harald; Gjuvsland, Arne Bjørke; Tøndel, Kristin; Torp, Hans; Lohezic, M; Schneider, Jürgen; Remme, Espen W.; Smith, Nicolas P; Omholt, Stig W; Vik, Jon Olav.
A computational pipeline for quantification of mouse myocardial stiffness parameters. Computers in Biology and Medicine 2014 ;Volum 53. s. 65-75
BJORKNES NTNU OUS UiO NMBU Untitled
 
34 Tafintseva, Valeria; Tøndel, Kristin; Ponossov, Arkadi; Martens, Harald.
Global structure of sloppiness in a nonlinear model. Journal of Chemometrics 2014 ;Volum 28.(8) s. 645-655
NTNU NMBU Untitled
 
35 Tøndel, Kristin; Martens, Harald.
Analyzing complex mathematical model behavior by partial least squares regression-based multivariate metamodeling. Wiley Interdisciplinary Reviews: Computational Statistics 2014 ;Volum 6.(6) s. 440-475
NTNU Untitled
 
36 Wu, Tim; Martens, Harald; Hunter, Peter; Mithraratne, Kumar.
Emulating facial biomechanics using multivariate partial least squares surrogate models. International Journal for Numerical Methods in Biomedical Engineering 2014 ;Volum 30.(11) s. 1103-1120
NTNU Untitled
 
2013
37 Martens, Harald; Tøndel, Kristin; Wu, Tim; Omholt, Stig W.
What does my model really do, - how can I improve it and speed it up, - what are its best parameter values, and how sure can I be about all of this?. Scandinavian Symposium on Chemometrics; 2013-06-01 - 2013-06-02
NOFIMA UiO NMBU Untitled
 
38 Martens, Harald; Tøndel, Kristin; Wu, Tim; Omholt, Stig W.
What does my model really do, - how can I improve it and speed it up, - what are its best parameter values, and how sure can I be about all of this?. Mathematical Methods and Modeling of Biophysical Phenomena; 2013-03-04 - 2013-03-08
NOFIMA NTNU NMBU Untitled
 
39 Shapaval, Volha; Böcker, Ulrike; Forsmark, A; Andersson, M; Warringer, Jonas; Martens, Harald; Omholt, Stig W; Blomberg, A; Kohler, Achim.
Fourier transform infrared spectroscopy for high-throughput phenotyping of Saccharomyce cereviseae. Yeast 2013; 2013-08-29 - 2013-09-03
NOFIMA NMBU Untitled
 
40 Shapaval, Volha; Böcker, Ulrike; Forsmark, Annabelle; Andersson, Mats; Warringer, Jonas; Martens, Harald; Omholt, Stig W; Blomberg, Anders; Kohler, Achim.
Fourier transform infrared spectroscopy for high-throughput phenotyping of Saccharomyces cereviseae. Yeast 2013 ;Volum 30. s. 137-137
NOFIMA NMBU Untitled
 
41 Tøndel, Kristin; Vik, Jon Olav; Martens, Harald; Indahl, Ulf Geir; Smith, Nic; Omholt, Stig W.
Hierarchical multivariate regression-based sensitivity analysis reveals complex parameter interaction patterns in dynamic models. Chemometrics and Intelligent Laboratory Systems 2013 ;Volum 120. s. 25-41
NMBU Untitled
 
42 Karaman, Ibrahim; Qannari, El Mostafa; Martens, Harald; Hedemann, Mette Skou; Knudsen, Knud Erik Bach; Kohler, Achim.
Comparison of Sparse and Jack-knife partial least squares regression methods for variable selection. Chemometrics and Intelligent Laboratory Systems 2013 ;Volum 122. s. 65-77
NOFIMA NMBU Untitled
 
43 Liland, Kristian Hovde; Høy, Martin; Martens, Harald; Sæbø, Solve.
Distribution based truncation for variable selection in subspace methods for multivariate regression. Chemometrics and Intelligent Laboratory Systems 2013 ;Volum 122. s. 103-111
NOFIMA NMBU Untitled
 
44 Martens, Harald.
For mye data- for lite informasjon. CAMO brukermøte; 2013-11-14 - 2013-11-14
NOFIMA Untitled
 
45 Martens, Harald.
For mye data- for lite informasjon. Rotary møte; 2013-09-28 - 2013-09-28
NOFIMA Untitled
 
46 Martens, Harald.
Matematikk på levende organismer. Biologien innbyr til engasjerende hands-on erfaring med kvantitative metoder Realfag passer for mange, mange fler!. MNT-konferanse; 2013-03-12 - 2013-03-13
NOFIMA Untitled
 
47 Martens, Harald.
Meta-modelling in mathematical biology. CAMO user meeting; 2013-04-24 - 2013-04-24
NOFIMA Untitled
 
48 Martens, Harald.
NIR: From Dirty Data to Clean Information. NIR 2013; 2013-06-05 - 2013-06-06
NOFIMA Untitled
 
49 Martens, Harald.
Nytt perspektiv på statistikkutdanningen: Verktøy til å se verden med. Nytt perspektiv på statistikkutdanningen: Verktøy til å se verden med. Den nasjonale ressursgruppen for CSE; 2013-02-27 - 2013-02-27
NOFIMA Untitled
 
50 Martens, Harald.
Om macho-modellering, meta-modellering og tvilens struktur i beregningsbiologi. Matematisk feilernæring i naturvitenskapene kan stenge for kjærligheten til sannhet og sunnhet. Pecha Kucha foredrag; 2013-08-08 - 2013-08-08
NOFIMA Untitled
 
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