Computer-Aided Breast Cancer Diagnosis with Optimal Feature Sets: Reduction Rules and Optimization Techniques.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6613-4_17
Abstract: This chapter introduces a new method for knowledge extraction from databases for the purpose of finding a discriminative set of features that is also a robust set for within-class classification. Our method is generic and… read more here.
Keywords: feature; breast cancer; optimal feature; feature set ... See more keywords
Multiple feature set with feature selection for anomaly search in videos using hybrid classification
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6348-z
Abstract: An examination of abnormal activities in video scenes is a very difficult task in computer vision community. An efficient anomaly detection technique to detect anomalies in crowded scenes is presented in this paper. It uses… read more here.
Keywords: feature selection; feature; multiple feature; feature set ... See more keywords
Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma.
Sign Up to like & getrecommendations! Published in 2018 at "American journal of ophthalmology"
DOI: 10.1016/j.ajo.2018.07.005
Abstract: PURPOSE To test the hypothesis that contact lens sensor (CLS)-based 24-hour profiles of ocular volume changes contain information complementary to intraocular pressure (IOP) to discriminate between primary open-angle glaucoma (POAG) and healthy (H) eyes. DESIGN… read more here.
Keywords: poag; cls parameters; cls; feature set ... See more keywords
A study on the effect of psychophysiological signal features on classification methods
Sign Up to like & getrecommendations! Published in 2017 at "Measurement"
DOI: 10.1016/j.measurement.2017.01.019
Abstract: Abstract The most important factor affecting the performance of a BCI (Brain Computer Interface) systems, is classification feature set. Choosing the right features to increase the success of classification is the key point. In BCI… read more here.
Keywords: classification; signal features; psychophysiological signal; effect psychophysiological ... See more keywords
Ultra-Short-Term Building Cooling Load Prediction Model Based on Feature Set Construction and Ensemble Machine Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3027061
Abstract: As the requirements for the optimal control of building systems increase, the accuracy and speed of load predictions should also increase. However, the accuracy of load predictions is related to not only the prediction algorithm,… read more here.
Keywords: feature; set construction; model; feature set ... See more keywords
Explainable Recommendation via Personalized Features on Dynamic Preference Interactions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3219076
Abstract: An Explainable Recommendation system has become more prominent because it could convince the user to trust the prediction. However, the existing Explainable Recommendation systems face one of these two limitations. The first limitation is the… read more here.
Keywords: interaction; recommendation; feature set; explainable recommendation ... See more keywords
Generalized Sparse Learning of Linear Models Over the Complete Subgraph Feature Set
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2016.2567399
Abstract: Supervised learning over graphs is an intrinsically difficult problem: simultaneous learning of relevant features from the complete subgraph feature set, in which enumerating all subgraph features occurring in given graphs is practically intractable due to… read more here.
Keywords: subgraph feature; sparse learning; generalized sparse; complete subgraph ... See more keywords
Intelligent Prediction Mathematical Model of Industrial Financial Fraud Based on Data Mining
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/8520094
Abstract: The essence of enterprise financial modeling is to use mathematical models to classify and sort out all kinds of enterprise information according to the main line of value creation and on this basis to complete… read more here.
Keywords: model; feature set; fraud; fraud identification ... See more keywords
Emotional Variance Analysis: A new sentiment analysis feature set for Artificial Intelligence and Machine Learning applications
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0274299
Abstract: Sentiment Analysis (SA) is a category of data mining techniques that extract latent representations of affective states within textual corpuses. This has wide ranging applications from online reviews to capturing mental states. In this paper,… read more here.
Keywords: feature set; variance analysis; emotional variance; analysis ... See more keywords
Plant Leaf Classification and Comparative Analysis of Combined Feature Set Using Machine Learning Techniques
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380603
Abstract: The main purpose of this research work is to apply machine learning and image processing techniques for plant classification efficiently. In the plant classification system, the conventional method is time-consuming and needs to apply expensive… read more here.
Keywords: classification; feature set; plant; optimal feature ... See more keywords
Incorporating CNN Features for Optimizing Performance of Ensemble Classifier for Cardiovascular Disease Prediction
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12061474
Abstract: Cardiovascular diseases (CVDs) have been regarded as the leading cause of death with 32% of the total deaths around the world. Owing to the large number of symptoms related to age, gender, demographics, and ethnicity,… read more here.
Keywords: incorporating cnn; feature set; model; ensemble model ... See more keywords