Πλοήγηση ανά Θέμα "Classification (of information)"
Αποτελέσματα 41-60 από 61
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On the Use of a Sequential Deep Learning Scheme for Financial Fraud Detection
(2021)Forecasting fraud detection has never been more essential for the finance industry than today. The detection of fraud has been a major concern for the banking industry due to the high impact on banks’ revenues and reputation. ... -
Pathway analysis using xgboost classification in biomedical data
(2018)Given the fact that our biological existence is rooted in a complex system within our cells with thousands of interactions among genes and metabolites, research community in biological and medical fields have shifted their ... -
Precision‐Based Weighted Blending Distributed Ensemble Model for Emotion Classification
(2022)Focusing on emotion recognition, this paper addresses the task of emotion classification and its performance with respect to accuracy, by investigating the capabilities of a distributed ensemble model using precision‐based ... -
Real-time arm gesture recognition using 3D skeleton joint data
(2019)In this paper we present an approach towards real-time hand gesture recognition using the Kinect sensor, investigating several machine learning techniques. We propose a novel approach for feature extraction, using measurements ... -
Recognition of urban sound events using deep context-aware feature extractors and handcrafted features
(2019)This paper proposes a method for recognizing audio events in urban environments that combines handcrafted audio features with a deep learning architectural scheme (Convolutional Neural Networks, CNNs), which has been trained ... -
Reconstruction-based classification rule hiding through controlled data modification
(2009)In this paper, we propose a reconstruction-based approach to classification rule hiding in categorical datasets. The proposed methodology modifies transactions supporting both sensitive and nonsensitive classification rules ... -
RuleMR: Classification rule discovery with MapReduce
(2014)The vast amounts of data generated, exchanged and consumed on a daily basis by contemporary networks and devices renders their analysis a cumbersome procedure with inherent difficulties. On the one hand, the need for ... -
The same, only different: Contrasting mobile operator behavior from crowdsourced dataset
(2018)Crowdsourcing mobile network performance evaluation is rapidly gaining popularity, with new applications aiming to deliver more accurate and reliable results every day. From the perspective of end-users, these utilities ... -
A Self-Pruning Classification Model for News
(2019)News aggregators are on-line services that collect articles from numerous reputable media and news providers and reorganize them in a convenient manner with the aim of assisting their users to access the information they ... -
Speed optimized face recognition on mobile devices using Eigenfaces decomposition
(2010)Face recognition on mobile devices can be utilized for security applications (e.g., user authentication) or in the context of pervasive and assistive computing for the support of elderly suffering from dementia in recognizing ... -
Staircase detection using a lightweight look-behind fully convolutional neural network
(2019)Staircase detection in natural images has several applications in the context of robotics and visually impaired navigation. Previous works are mainly based on handcrafted feature extraction and supervised learning using ... -
A study of cAnt-Miner2 parameters using medical data sets
(2010)This paper presents a study of the user-defined parameters of the cAnt-Miner2 algorithm which extended the approach of coping with continuous attributes that was introduced by the cAnt-Miner algorithm. Experiments on two ... -
Summarization of User-Generated Videos Fusing Handcrafted and Deep Audiovisual Features
(2022)The ever-increasing amount of user-generated audiovisual content has increased the demand for easy navigation across content collections and repositories, necessitating detailed, yet concise content representations. A ... -
A supervised machine learning classification algorithm for research articles
(2013)The issue of the automatic classification of research articles into one or more fields of science is of primary importance for scientific databases and digital libraries. A sophisticated classification strategy renders ... -
Supervised papers classification on large-scale high-dimensional data with apache spark
(2018)The problem of classifying a research article into one or more fields of science is of particular importance for the academic search engines and digital libraries. A robust classification algorithm offers the users a wide ... -
Text Analysis of COVID-19 Tweets
(2022)During the COVID-19 pandemic many countries were forced to implement lockdowns to prevent further spread of the SARS-CoV-2, prohibiting people from face-to-face social interactions. This unprecedented circumstance led to ... -
Towards the Interpretation of Convolutional Neural Networks for Image Classification Using Fuzzy Sets
(2022)Convolutional Neural Networks (CNNs) have demonstrated an outstanding performance on a range of image classification problems in various domains. However, their major drawback is that they are 'black box' and opaque ... -
Using deep learning neural networks for ECG based authentication
(2017)Traditional password based authentication has been proven inadequate and the use of biometrics have provided multiple solutions through the past years. One of the most recent approaches to biometric authentication is using ... -
Vra Core 4.0 Metadata Standard for the Facades of the Historic Houses of Athens (19th – Early 20th Century)
(2022)The development of technology and the continuous production of information through research in culture have created the need to store a large amount of new and existing digital data. The digital storage of information ... -
Wafer Map Defect Pattern Recognition using Imbalanced Datasets
(2022)The accurate and automatic inspection of wafer maps is vital for semiconductor engineers to identify defect causes and to optimize the wafer fabrication process. This research work seeks to address the pattern recognition ...