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
Multi‐view learning for benign epilepsy with centrotemporal spikes
IET Computer Vision, 2019 Benign epilepsy with centrotemporal spikes (BECT) may be the most popular epilepsy to attack children. In recent years, more and more studies have shown that magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) are promising ...
Ming Yan +3 more
doaj +1 more source
A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm [PDF]
, 2005 IEEE Congress on Evolutionary Computation. Edimburgo, 5 september 2005This paper shows the performance of the binary PSO algorithm as a classification system.
Cervantes, Alejandro +2 more
core +3 more sources
Enhancing random forests performance in microarray data classification [PDF]
, 2013 Random forests are receiving increasing attention for classification of microarray datasets. We evaluate the effects of a feature selection process on the performance of a random forest classifier as well as on the choice of two critical parameters, i.e.
DESSI, NICOLETTA +2 more
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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
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Selection of optimum frequency bands for detection of epileptiform patterns
Healthcare Technology Letters, 2019 The significant research effort in the domain of epilepsy has been directed toward the development of an automated seizure detection system. In their usage of the electrophysiological recordings, most of the proposals thus far have followed the ...
Piyush Swami +6 more
doaj +1 more source
Customizing kernel functions for SVM-based hyperspectral image classification [PDF]
, 2008 Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms.
Baofeng Guo +4 more
core +2 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
Deep Neural Networks with Transfer Learning for Medical Image Classification [PDF]
EPJ Web of ConferencesMedical image classification is a crucial component in the aid of clinical diagnosis and disease screening. Deep learning models usually suffer from a lack of data as well as low interpretability in the medical imaging context.
Joshi Gajanan
doaj +1 more source