[BOEK][B] An introduction to audio content analysis: Music Information Retrieval tasks and applications
A Lerch - 2022 - books.google.com
An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …
Classification of MODIS EVI time series for crop map** in the state of Mato Grosso, Brazil
D Arvor, M Jonathan, MSP Meirelles… - … Journal of Remote …, 2011 - Taylor & Francis
Agriculture in Brazilian Amazonia is going through a period of intensification. Crop map**
is important in understanding the way this intensification is occurring and the impact it is …
is important in understanding the way this intensification is occurring and the impact it is …
Feature selection in multimedia: the state-of-the-art review
Multimedia data mining, particularly feature selection (FS), has been successfully applied in
recent classification and recognition works. However, only a few studies in the contemporary …
recent classification and recognition works. However, only a few studies in the contemporary …
A systematic feature selection procedure for short-term data-driven building energy forecasting model development
An accurate building energy forecasting model is the key for real-time model based control
of building energy systems and building-grid integration. Data-driven models, though have …
of building energy systems and building-grid integration. Data-driven models, though have …
Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification
The term pap-smear refers to samples of human cells stained by the so-called Papanicolaou
method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell …
method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell …
Quantum-enhanced support vector machine for large-scale multi-class stellar classification
In this study, we introduce an innovative Quantum-enhanced Support Vector Machine
(QSVM) approach for stellar classification problems. The QSVM algorithm in our work shows …
(QSVM) approach for stellar classification problems. The QSVM algorithm in our work shows …
Ant colony and particle swarm optimization for financial classification problems
Financial decisions are often based on classification models which are used to assign a set
of observations into predefined groups. Such models ought to be as accurate as possible …
of observations into predefined groups. Such models ought to be as accurate as possible …
[BOEK][B] Scientific data mining: a practical perspective
C Kamath - 2009 - SIAM
Advances in sensors, information technology, and high-performance computing have
resulted in massive data sets becoming available in many scientific disciplines. These data …
resulted in massive data sets becoming available in many scientific disciplines. These data …
Filter-based feature selection methods for industrial sensor data: a review
The amount of produced data in industrial environments is continuously rising, containing
relevant but also irrelevant or redundant data. The size and dimensionality of gathered data …
relevant but also irrelevant or redundant data. The size and dimensionality of gathered data …
Particle swarm optimization for pap-smear diagnosis
The term pap-smear refers to samples of human cells stained by the so-called Papanicolaou
method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell …
method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell …