Statistical Assessment of QC Metrics on Raw LC-MS/MS Data.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6747-6_22
Abstract: Data quality assessment is important for reproducibility of proteomics experiments and reusability of proteomics data. We describe a set of statistical tools to routinely visualize and examine the quality control (QC) metrics obtained for raw… read more here.
Keywords: quality; statistical assessment; assessment metrics; metrics raw ... See more keywords
Inductive learning of robot task knowledge from raw data and online expert feedback
Sign Up to like & getrecommendations! Published in 2025 at "Machine Learning"
DOI: 10.1007/s10994-024-06636-6
Abstract: The increasing level of autonomy of robots poses challenges of trust and social acceptance, especially in human-robot interaction scenarios. This requires an interpretable implementation of robotic cognitive capabilities, possibly based on formal methods as logics… read more here.
Keywords: task; task knowledge; methodology; raw data ... See more keywords
Learning personalized ADL recognition models from few raw data
Sign Up to like & getrecommendations! Published in 2020 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2020.101916
Abstract: Recognition of activities of daily living (ADL) is an essential component of assisted living systems based on actigraphy. This task can nowadays be performed by machine learning models which are able to automatically extract and… read more here.
Keywords: adl recognition; recognition models; personalized adl; recognition ... See more keywords
The extraction of the training subset for the spatial distribution modelling of the heavy metals in topsoil
Sign Up to like & getrecommendations! Published in 2021 at "CATENA"
DOI: 10.1016/j.catena.2021.105699
Abstract: Abstract The choice of the method of raw data dividing into train and test subsets in the models based on the artificial neural networks (ANN) is one of the underexplored problems of continuous Spatio-temporal field… read more here.
Keywords: extraction; training; training subset; spatial distribution ... See more keywords
Methods comparison for attitude determination of a lightweight buoy by raw data of IMU
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2018.11.061
Abstract: Abstract Today, one of the most important issues is the determination of instantaneous sea level and distinguishing the Tsunami by floating buoy in the ocean. Usually, gyroscopes are used to measure the angular velocity of… read more here.
Keywords: raw data; euler angles; comparison attitude; attitude determination ... See more keywords
Fast adaptive neighbors clustering via embedded clustering
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.087
Abstract: Abstract Recently, spectral clustering (SC) has been gaining more and more attention due to its excellent performance in unsupervised learning. However, the computational complexity of the SC is high. Also, the adjacency graph matrix of… read more here.
Keywords: graph embedded; embedded data; fast adaptive; raw data ... See more keywords
An integrated approach for spatial distribution of potentially toxic elements (Cu, Pb and Zn) in topsoil
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-86937-1
Abstract: In this study, statistical analysis and spatial distribution were performed to compare raw data and centred log-ratio (clr) transformed data of three copper (Cu), lead (Pb), and zinc (Zn) potentially toxic elements (PTEs) concentration for… read more here.
Keywords: toxic elements; integrated approach; potentially toxic; spatial distribution ... See more keywords
Towards a raw-data dynamic structural model with its descriptive applications
Sign Up to like & getrecommendations! Published in 2025 at "Econometric Reviews"
DOI: 10.1080/07474938.2025.2492611
Abstract: Abstract Regarding the current development in multivariate time series analysis, this article contributes to the theory of dynamic structural equation model (DSEM) with an estimation procedure performed on raw data and macroeconomic uses. The analytical… read more here.
Keywords: raw data; towards raw; data dynamic; dynamic structural ... See more keywords
GlycoPOST realizes FAIR principles for glycomics mass spectrometry data
Sign Up to like & getrecommendations! Published in 2021 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkaa1012
Abstract: Abstract For the reproducibility and sustainability of scientific research, FAIRness (Findable, Accessible, Interoperable and Re-usable), with respect to the release of raw data obtained by researchers, is one of the most important principles underpinning the… read more here.
Keywords: mass spectrometry; realizes fair; glycopost realizes; glycopost ... See more keywords
Universal Adversarial Attacks on the Raw Data From a Frequency Modulated Continuous Wave Radar
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3218349
Abstract: As more and more applications rely on Artificial Intelligence (AI), it is inevitable to explore the associated safety and security risks, especially for sensitive applications where physical integrity is at risk. One of the most… read more here.
Keywords: data frequency; adversarial attacks; universal adversarial; radar ... See more keywords
U-Net-Based Raw Data-Driven Approach for Seismic Signal Processing and Spectrogram Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3625057
Abstract: This work addresses the challenge of automatically detecting and isolating weak seismic signals generated by mass-gathering events, which are typically obscured by noise and lack a clear physical model. A novel U-Net-based framework that operates… read more here.
Keywords: raw data; segmentation; net based; signal ... See more keywords