Results 31 to 40 of about 3,121,843 (279)
A study of hierarchical and flat classification of proteins [PDF]
, 2008 Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that expert-defined hierarchies of protein classes exist and can potentially be ...
Buchwald, Fabian +3 more
core +2 more sources
Beat histogram features from NMF-based novelty functions for music classification [PDF]
, 2015 In this paper we present novel rhythm features derived from drum tracks extracted from polyphonic music and evaluate them in a genre classification task. Musical excerpts are analyzed using an optimized, partially fixed Non-Negative Matrix Factorization (
Lerch, Alexander +2 more
core +1 more source
Applied Sciences, 2020 Machine learning algorithms are crucial for crop identification and mapping. However, many works only focus on the identification results of these algorithms, but pay less attention to their classification performance and mechanism.
Peng Fang +6 more
doaj +1 more source
The development of a new sport-specific classification of coping and a meta-analysis of the relationship between different coping strategies and moderators on sporting outcomes [PDF]
, 2016 There is an ever growing coping and sports performance literature, with researchers using many different methods to assess performance and different classifications of coping.
Carroll, Sean +3 more
core +2 more sources
Classification of Performance and Quality Indicators in Manufacturing [PDF]
, 2006 A critical aspect in operations management is to represent the firm goals properly. This is usually done by translating the organisational results and objectives in ‘performance measurements'.
Franceschini, Fiorenzo +2 more
core +1 more source
Towards the optimal Pixel size of dem for automatic mapping of landslide areas [PDF]
, 2017 Determining appropriate spatial resolution of digital elevation model (DEM) is a key step for effective landslide analysis based on remote sensing data. Several studies demonstrated that choosing the finest DEM resolution is not always the best solution.
Borkowski, A. +2 more
core +3 more sources
Automated Detection of Epileptic Seizures in EEG Signals via Micro-Capsule Networks
Brain SciencesBackground: Epilepsy is a chronic neurological disorder that affects individuals across all age groups. Early detection and intervention are crucial for minimizing both physical and psychological distress.
Baozeng Wang +4 more
doaj +1 more source
Over the Air Deep Learning Based Radio Signal Classification
, 2017 We conduct an in depth study on the performance of deep learning based radio signal classification for radio communications signals. We consider a rigorous baseline method using higher order moments and strong boosted gradient tree classification and ...
Clancy, T. Charles +2 more
core +1 more source
Back‐dropout transfer learning for action recognition
IET Computer Vision, 2018 Transfer learning aims at adapting a model learned from source dataset to target dataset. It is a beneficial approach especially when annotating on the target dataset is expensive or infeasible.
Huamin Ren +7 more
doaj +1 more source
, 2013 We use partial class memberships in soft classification to model uncertain labelling and mixtures of classes. Partial class memberships are not restricted to predictions, but may also occur in reference labels (ground truth, gold standard diagnosis) for ...
Beleites, Claudia +2 more
core +1 more source