Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence
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(FIVE YEARS 12)

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(FIVE YEARS 2)

Published By Springer International Publishing

9783030285524, 9783030285531

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

3D Object Categorization in Cluttered Scene Using Deep Belief Network Architectures

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence ◽

10.1007/978-3-030-28553-1_8 ◽

2019 ◽

pp. 161-186

Author(s):

Nabila Zrira ◽

Mohamed Hannat ◽

El Houssine Bouyakhf

Keyword(s):

Deep Belief Network ◽

Object Categorization ◽

Network Architectures ◽

Belief Network ◽

3D Object

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A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence ◽

10.1007/978-3-030-28553-1_7 ◽

2019 ◽

pp. 137-159 ◽

Cited By ~ 3

Author(s):

Janmenjoy Nayak ◽

Bighnaraj Naik ◽

Danilo Pelusi ◽

A. Vamsi Krishna

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Performance Analysis ◽

Firefly Algorithm ◽

Comprehensive Review ◽

Artificial Neural ◽

And Performance

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Extraction of Named Entities from Social Media Text in Tamil Language Using N-Gram Embedding for Disaster Management

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence ◽

10.1007/978-3-030-28553-1_10 ◽

2019 ◽

pp. 207-223

Author(s):

G. Remmiya Devi ◽

M. Anand Kumar ◽

K. P. Soman

Keyword(s):

Social Media ◽

Disaster Management ◽

Named Entities ◽

Social Media Text ◽

N Gram

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Adaptive Improved Flower Pollination Algorithm for Global Optimization

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence ◽

10.1007/978-3-030-28553-1_1 ◽

2019 ◽

pp. 1-21

Author(s):

Douglas Rodrigues ◽

Gustavo Henrique de Rosa ◽

Leandro Aparecido Passos ◽

João Paulo Papa

Keyword(s):

Global Optimization ◽

Flower Pollination Algorithm ◽

Flower Pollination

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Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence ◽

10.1007/978-3-030-28553-1_6 ◽

2019 ◽

pp. 113-136 ◽

Cited By ~ 2

Author(s):

Mohamed Alloghani ◽

Thar Baker ◽

Dhiya Al-Jumeily ◽

Abir Hussain ◽

Jamila Mustafina ◽

...

Keyword(s):

Deep Learning ◽

Vital Signs ◽

Healthcare Services

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Classification and Clustering Algorithms of Machine Learning with their Applications

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence ◽

10.1007/978-3-030-28553-1_11 ◽

2019 ◽

pp. 225-248 ◽

Cited By ~ 4

Author(s):

Ravinder Ahuja ◽

Aakarsha Chug ◽

Shaurya Gupta ◽

Pratyush Ahuja ◽

Shruti Kohli

Keyword(s):

Machine Learning ◽

Clustering Algorithms ◽

Classification And Clustering

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Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence ◽

10.1007/978-3-030-28553-1_9 ◽

2019 ◽

pp. 187-206

Author(s):

Mohamed Alloghani ◽

Dhiya Al-Jumeily ◽

Abir Hussain ◽

Panagiotis Liatsis ◽

Ahmed J. Aljaaf

Keyword(s):

Machine Learning ◽

Cardiovascular Disease ◽

Chronic Kidney Disease ◽

High Risk ◽

Kidney Disease

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An Improved Extreme Learning Machine Tuning by Flower Pollination Algorithm

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence ◽

10.1007/978-3-030-28553-1_5 ◽

2019 ◽

pp. 95-112 ◽

Cited By ~ 1

Author(s):

Adis Alihodzic ◽

Eva Tuba ◽

Milan Tuba

Keyword(s):

Extreme Learning Machine ◽

Flower Pollination Algorithm ◽

Flower Pollination ◽

Learning Machine

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Algorithms for Optimization and Machine Learning over Cloud

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence ◽

10.1007/978-3-030-28553-1_2 ◽

2019 ◽

pp. 23-46

Author(s):

Ratnik Gandhi ◽

Mehul S Raval

Keyword(s):

Machine Learning

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Comparative Analysis of Different Classifiers on Crisis-Related Tweets: An Elaborate Study

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence ◽

10.1007/978-3-030-28553-1_4 ◽

2019 ◽

pp. 77-94 ◽

Cited By ~ 2

Author(s):

Sukanya Manna ◽

Haruto Nakai

Keyword(s):

Comparative Analysis

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Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

3D Object Categorization in Cluttered Scene Using Deep Belief Network Architectures

A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks

Extraction of Named Entities from Social Media Text in Tamil Language Using N-Gram Embedding for Disaster Management

Adaptive Improved Flower Pollination Algorithm for Global Optimization

Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services

Classification and Clustering Algorithms of Machine Learning with their Applications

Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients

An Improved Extreme Learning Machine Tuning by Flower Pollination Algorithm

Algorithms for Optimization and Machine Learning over Cloud

Comparative Analysis of Different Classifiers on Crisis-Related Tweets: An Elaborate Study

Nature-Inspired Computation in Data Mining and Machine Learning - Studies in Computational Intelligence
Latest Publications