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Results 1 - 20 of 1,428  for All Library Resources

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1
Classifiers Combination Techniques: A Comprehensive Review
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Classifiers Combination Techniques: A Comprehensive Review

IEEE access, 2018-01, Vol.6, p.19626-19639 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2813079 ;CODEN: IAECCG

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2
An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach
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An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach

IEEE access, 2021, Vol.9, p.67488-67500 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3075140 ;CODEN: IAECCG

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3
Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers
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Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers

IEEE access, 2020, Vol.8, p.76516-76531 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2989857 ;CODEN: IAECCG

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4
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System
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TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System

IEEE access, 2019, Vol.7, p.94497-94507 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2928048 ;CODEN: IAECCG

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5
Online Active Learning Ensemble Framework for Drifted Data Streams
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Online Active Learning Ensemble Framework for Drifted Data Streams

IEEE transaction on neural networks and learning systems, 2019-02, Vol.30 (2), p.486-498

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2018.2844332 ;CODEN: ITNNAL

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6
Phishing Detection System through Hybrid Machine Learning Based on URL
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Phishing Detection System through Hybrid Machine Learning Based on URL

IEEE access, 2023-01, Vol.11, p.1-1 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2023.3252366 ;CODEN: IAECCG

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7
ECG Signal Preprocessing and SVM Classifier-Based Abnormality Detection in Remote Healthcare Applications
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ECG Signal Preprocessing and SVM Classifier-Based Abnormality Detection in Remote Healthcare Applications

IEEE access, 2018-01, Vol.6, p.9767-9773 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2794346 ;CODEN: IAECCG

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8
CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection
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Article
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CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection

IEEE access, 2020, Vol.8, p.132911-132921 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3009843 ;CODEN: IAECCG

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9
False-Alarm-Controllable Radar Detection for Marine Target Based on Multi Features Fusion via CNNs
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Article
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False-Alarm-Controllable Radar Detection for Marine Target Based on Multi Features Fusion via CNNs

IEEE sensors journal, 2021-04, Vol.21 (7), p.9099-9111 [Peer Reviewed Journal]

ISSN: 1530-437X ;EISSN: 1558-1748 ;DOI: 10.1109/JSEN.2021.3054744 ;CODEN: ISJEAZ

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10
A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters
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A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters

IEEE access, 2019, Vol.7, p.118310-118321 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2936454 ;CODEN: IAECCG

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11
Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification Using RVVC Model
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Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification Using RVVC Model

IEEE access, 2021, Vol.9, p.78621-78634 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3083638 ;CODEN: IAECCG

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12
Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections
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Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections

IEEE transactions on antennas and propagation, 2018-12, Vol.66 (12), p.7315-7327 [Peer Reviewed Journal]

ISSN: 0018-926X ;EISSN: 1558-2221 ;DOI: 10.1109/TAP.2018.2874430 ;CODEN: IETPAK

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13
A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers
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A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers

IEEE access, 2019, Vol.7, p.156360-156373 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2949059 ;CODEN: IAECCG

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14
A Novel Fault Classification Scheme for Series Capacitor Compensated Transmission Line Based on Bagged Tree Ensemble Classifier
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Article
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A Novel Fault Classification Scheme for Series Capacitor Compensated Transmission Line Based on Bagged Tree Ensemble Classifier

IEEE access, 2018-01, Vol.6, p.27373-27382 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2836401 ;CODEN: IAECCG

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15
BadNets: Evaluating Backdooring Attacks on Deep Neural Networks
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BadNets: Evaluating Backdooring Attacks on Deep Neural Networks

IEEE access, 2019, Vol.7, p.47230-47244 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2909068 ;CODEN: IAECCG

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16
Deep Learning Approach for Intelligent Intrusion Detection System
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Article
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Deep Learning Approach for Intelligent Intrusion Detection System

IEEE access, 2019, Vol.7, p.41525-41550 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2895334 ;CODEN: IAECCG

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17
Efficient Medical Diagnosis of Human Heart Diseases Using Machine Learning Techniques With and Without GridSearchCV
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Article
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Efficient Medical Diagnosis of Human Heart Diseases Using Machine Learning Techniques With and Without GridSearchCV

IEEE access, 2022, Vol.10, p.80151-80173 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2022.3165792 ;CODEN: IAECCG

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18
Analysis of Dimensionality Reduction Techniques on Big Data
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Article
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Analysis of Dimensionality Reduction Techniques on Big Data

IEEE access, 2020-01, Vol.8, p.1-1 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2980942 ;CODEN: IAECCG

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19
Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model
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Article
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Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model

IEEE access, 2020, Vol.8, p.133541-133564 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3010556 ;CODEN: IAECCG

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20
An Intelligent Data Mining-Based Fault Detection and Classification Strategy for Microgrid
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Article
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An Intelligent Data Mining-Based Fault Detection and Classification Strategy for Microgrid

IEEE access, 2021, Vol.9, p.22470-22479 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3056534 ;CODEN: IAECCG

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