Lars Erik Solberg
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View article: Welfare Indicators for Aquaculture Research: Toolboxes for Five Farmed European Fish Species
Welfare Indicators for Aquaculture Research: Toolboxes for Five Farmed European Fish Species Open
Refining approaches to measuring, monitoring and appraising animal welfare in aquaculture research is key to (i) protecting and optimizing it, (ii) documenting the severity of how and when it deviates, and (iii) ensuring good scientific qu…
View article: FishProx: Proximate conspecific interaction of Atlantic salmon (<i>Salmo salar</i>) for behavioural analysis through instance segmentation masks
FishProx: Proximate conspecific interaction of Atlantic salmon (<i>Salmo salar</i>) for behavioural analysis through instance segmentation masks Open
In modern fish production and experimental facilities, camera installations are increasingly common for monitoring animal welfare. This opens up a new alley of autonomous tracking systems levering streamed data. However, the substantial am…
View article: Applying deep learning and the ecological home range concept to document the spatial distribution of Atlantic salmon parr (Salmo salar L.) in experimental tanks
Applying deep learning and the ecological home range concept to document the spatial distribution of Atlantic salmon parr (Salmo salar L.) in experimental tanks Open
Measuring and monitoring fish welfare in aquaculture research relies on the use of outcome- (biotic) and input-based (e.g., abiotic) welfare indicators (WIs). Incorporating behavioural auditing into this toolbox can sometimes be challengin…
View article: Applying deep learning and the ecological home range concept to document the spatial distribution of Atlantic salmon parr (Salmo salar L.) in experimental tanks
Applying deep learning and the ecological home range concept to document the spatial distribution of Atlantic salmon parr (Salmo salar L.) in experimental tanks Open
Auditing fish welfare within the aquaculture research community relies on the thorough monitoring of outcome- (biotic) and input-based (e.g., abiotic) elements. The community utilises operational and laboratory-based welfare indicators (i.…
View article: Computational Test for Conditional Independence
Computational Test for Conditional Independence Open
Conditional Independence (CI) testing is fundamental in statistical analysis. For example, CI testing helps validate causal graphs or longitudinal data analysis with repeated measures in causal inference. CI testing is difficult, especiall…
View article: Computational Test for Conditional Independence (with Categorical Variables)
Computational Test for Conditional Independence (with Categorical Variables) Open
Conditional Independence (CI) testing is fundamental in statistical analysis. For example, CI testing helps validate causal graphs or longitudinal data analysis with repeated measures in causal inference. CI testing is difficult, especiall…
View article: A Computational Procedure for Testing Conditional Independence in Causal Directed Acyclic Graphs
A Computational Procedure for Testing Conditional Independence in Causal Directed Acyclic Graphs Open
This study introduces a novel computational approach for testing conditional independence (BB CI test) within causal Directed Acyclic Graphs (DAGs), leveraging Bayesian non-parametric bootstrap and machine learning techniques. Our method o…
View article: Calibration transfer between different spectrometers by wavelength correspondence
Calibration transfer between different spectrometers by wavelength correspondence Open
In this paper we present a method for transferring calibrations between different spectrometers based on assigning wavelength correspondence. It has been tested for near-infrared (NIR) and Raman spectroscopic instruments, and three example…
View article: Diagnosing the cage of covariance to increase understanding and robustness of spectroscopic calibration models
Diagnosing the cage of covariance to increase understanding and robustness of spectroscopic calibration models Open
When vibrational spectroscopy is used for quantification purposes, multivariate analysis is often used to extract information from covariances between the spectra and any given reference values. In complex samples, there is a high risk tha…
View article: The role of biospectroscopy and chemometrics as enabling technologies for upcycling of raw materials from the food industry
The role of biospectroscopy and chemometrics as enabling technologies for upcycling of raw materials from the food industry Open
It is important to utilize the entire animal in meat and fish production to ensure sustainability. Rest raw materials, such as bones, heads, trimmings, and skin, contain essential nutrients that can be transformed into high-value products.…
View article: In-Line Near-Infrared Spectroscopy Gives Rapid and Precise Assessment of Product Quality and Reveals Unknown Sources of Variation—A Case Study from Commercial Cheese Production
In-Line Near-Infrared Spectroscopy Gives Rapid and Precise Assessment of Product Quality and Reveals Unknown Sources of Variation—A Case Study from Commercial Cheese Production Open
Quality testing in the food industry is usually performed by manual sampling and at/off-line laboratory analysis, which is labor intensive, time consuming, and may suffer from sampling bias. For many quality attributes such as fat, water a…
View article: In-Line Estimation of Fat Marbling in Whole Beef Striploins (Longissimus lumborum) by NIR Hyperspectral Imaging. A Closer Look at the Role of Myoglobin
In-Line Estimation of Fat Marbling in Whole Beef Striploins (Longissimus lumborum) by NIR Hyperspectral Imaging. A Closer Look at the Role of Myoglobin Open
Fat marbling, the amount, and distribution of intramuscular fat, is an important quality trait for beef loin (Longissimus lumborum) and is closely connected to sensory properties such as tenderness, juiciness, and flavor. For meat producer…
View article: Making sense of multiple distance matrices through common and distinct components
Making sense of multiple distance matrices through common and distinct components Open
Multiblock analysis attacks the problem of how to combine data from various data sources for purposes such as prediction, classification, clustering, or visual data analysis. A key concept is the distinction between “common” and “distinct”…
View article: Diagnosing indirect relationships in multivariate calibration models
Diagnosing indirect relationships in multivariate calibration models Open
Problems concerning covariance among independent variables are well understood and dealt with by inverse regression methods like partial least squares regression. However, covariance between dependent variables has only received minor atte…
View article: Cage of covariance in calibration modeling: Regressing multiple and strongly correlated response variables onto a low rank subspace of explanatory variables
Cage of covariance in calibration modeling: Regressing multiple and strongly correlated response variables onto a low rank subspace of explanatory variables Open
In analytical chemistry, multivariate calibration is applied when substituting a time-consuming reference measurement (based on e.g. chromatography) with a high-throughput measurement (based on e.g. vibrational spectroscopy). An average er…
View article: Improved control of Listeria monocytogenes during storage of raw salmon by treatment with the fermentate Verdad N6 and nisin
Improved control of Listeria monocytogenes during storage of raw salmon by treatment with the fermentate Verdad N6 and nisin Open
Fresh Atlantic salmon (Salmo salar) represents a healthy, nutritious food with global distribution and increasing consumption and economic value. Contaminating Listeria monocytogenes in fresh salmon represents a health hazard to consumers,…
View article: The predictive power of earnings conference calls : predicting stock price movement with earnings call transcripts
The predictive power of earnings conference calls : predicting stock price movement with earnings call transcripts Open
Earnings conference calls are considered a valuable text based information source for\ninvestors. This paper investigates the possibility to predict the direction of stock prices\nby analyzing the transcripts of earnings conference calls. …
View article: Radar based central blood pressure estimation
Radar based central blood pressure estimation Open
This is a feasibility study in using radar for estimating blood pressure and which could allow for continuous, non-invasive measurements both inside and outside the clinic. Blood pressure has extensive use in emergency care for monitoring …