DEFAD: ensemble classifier for DDOS enabled flood attack defense in distributed network environment
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2808-5
Abstract: Technological advancements in the information systems and networks are the outcome of potential developments resulting in the networking and communications. The role of Critical Infrastructure is playing a vital role in imparting the condition of… read more here.
Keywords: ensemble classifier; network; defad ensemble; ddos enabled ... See more keywords
Fusion of Hyperspectral and LiDAR Data With a Novel Ensemble Classifier
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2816958
Abstract: Due to the development of sensors and data acquisition technology, the fusion of features from multiple sensors is a very hot topic. In this letter, the use of morphological features to fuse a hyperspectral (HS)… read more here.
Keywords: fusion hyperspectral; ensemble classifier; lidar data; morphological features ... See more keywords
Diagnosis of Neuromuscular Disorders Using DT-CWT and Rotation Forest Ensemble Classifier
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2019.2918596
Abstract: Electromyographic (EMG) signals are utilized to analyze the neuromuscular disorders. Machine learning algorithms have been employed as a decision support system to detect neuromuscular disorders. EMG signals contain noise from different sources, such as electrical… read more here.
Keywords: emg signals; forest ensemble; neuromuscular disorders; rotation forest ... See more keywords
A Novel Method for Creating an Optimized Ensemble Classifier by Introducing Cluster Size Reduction and Diversity
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3025173
Abstract: In this paper, a new method is proposed for creating an optimized ensemble classifier. The proposed method mitigates the issue of class imbalances by partitioning the input data into its various data classes. The partitions… read more here.
Keywords: optimized ensemble; classifier; ensemble classifier; creating optimized ... See more keywords
Residual Sketch Learning for a Feature-Importance-Based and Linguistically Interpretable Ensemble Classifier.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3242049
Abstract: Motivated by both the commonly used "from wholly coarse to locally fine" cognitive behavior and the recent finding that simple yet interpretable linear regression model should be a basic component of a classifier, a novel… read more here.
Keywords: importance based; feature importance; residual sketch; ensemble classifier ... See more keywords
Condition monitoring of water pump bearings using ensemble classifier
Sign Up to like & getrecommendations! Published in 2022 at "Advances in Mechanical Engineering"
DOI: 10.1177/16878132221089170
Abstract: The bearings faults are reported to be the major reason for centrifugal pump (CPs) failures. Limited literature is available to diagnose the minor scratches in the bearing surface through non-intrusive condition monitoring techniques. Recent research… read more here.
Keywords: condition monitoring; pump; feature; ensemble classifier ... See more keywords
eccCL: parallelized GPU implementation of Ensemble Classifier Chains
Sign Up to like & getrecommendations! Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1783-9
Abstract: BackgroundMulti-label classification has recently gained great attention in diverse fields of research, e.g., in biomedical application such as protein function prediction or drug resistance testing in HIV. In this context, the concept of Classifier Chains… read more here.
Keywords: ensemble classifier; graphics processing; classifier; ecccl parallelized ... See more keywords
Random Subspace K-NN Based Ensemble Classifier for Driver Fatigue Detection Utilizing Selected EEG Channels
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380501
Abstract: Received: 6 September 2021 Accepted: 2 October 2021 Nowadays, many studies have been conducted to assess driver fatigue, as it has become one of the leading causes of traffic crashes. However, with the use of… read more here.
Keywords: ensemble classifier; fatigue; fatigue detection; driver fatigue ... See more keywords
Development of an ensemble classifier with data from description sheets to classify forest stands in site qualities
Sign Up to like & getrecommendations! Published in 2017 at "Sumarski List"
DOI: 10.31298/sl.141.3-4.3
Abstract: Aim of study: In this work, we tested the technique of combining the predictions of classifiers for the development of a single, ensemble classifier, in order to classify forest stands in site qualities. Area of… read more here.
Keywords: ensemble classifier; forest stands; classifier; site qualities ... See more keywords
In Silico Prediction of Drug-Induced Liver Injury Based on Ensemble Classifier Method
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms20174106
Abstract: Drug-induced liver injury (DILI) is a major factor in the development of drugs and the safety of drugs. If the DILI cannot be effectively predicted during the development of the drug, it will cause the… read more here.
Keywords: ensemble classifier; liver injury; drug induced; drug ... See more keywords