Related references
Note: Only part of the references are listed.A novel hybrid wrapper-filter approach based on genetic algorithm, particle swarm optimization for feature subset selection
Fateme Moslehi et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2020)
Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis
Wasiat Khan et al.
SOFT COMPUTING (2020)
Artificial gravitational cuckoo search algorithm along with particle bee optimized associative memory neural network for feature selection in heart disease classification
Vijayashree Jayaraman et al.
Journal of Ambient Intelligence and Humanized Computing (2019)
Improved salp swarm algorithm based on particle swarm optimization for feature selection
Rehab Ali Ibrahim et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2019)
An improved dynamic discrete firefly algorithm for blind image steganalysis
Rita Rana Chhikara et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2018)
Pattern graph tracking-based stock price prediction using big data
Seungwoo Jeon et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification
Ran Liu et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)
Swarm Intelligence Algorithms for Feature Selection: A Review
Lucija Brezocnik et al.
APPLIED SCIENCES-BASEL (2018)
Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network
Dang Lien Minh et al.
IEEE ACCESS (2018)
Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market?
Lin Chen et al.
IEEE ACCESS (2018)
Semi-Supervised Spam Detection in Twitter Stream
Surendra Sedhai et al.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2018)
HOW DOES STOCK MARKET VOLATILITY REACT TO OIL PRICE SHOCKS?
Andrea Bastianin et al.
MACROECONOMIC DYNAMICS (2018)
Forecasting daily stock market return using dimensionality reduction
Xiao Zhong et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
A study on real-time low-quality content detection on Twitter from the users' perspective
Weiling Chen et al.
PLOS ONE (2017)
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2017)
Predicting Stock Using Microblog Moods
Danfeng Yan et al.
CHINA COMMUNICATIONS (2016)
Big Data: A Parallel Particle Swarm Optimization-Back-Propagation Neural Network Algorithm Based on MapReduce
Jianfang Cao et al.
PLOS ONE (2016)
Text Mining News System - Quantifying Certain Phenomena Effect on the Stock Market Behavior
Monica Tirea et al.
2015 17TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING (SYNASC) (2016)
Can Online Emotions Predict the Stock Market in China?
Zhenkun Zhou et al.
WEB INFORMATION SYSTEMS ENGINEERING - WISE 2016, PT I (2016)
Audio-visual speech recognition using deep learning
Kuniaki Noda et al.
APPLIED INTELLIGENCE (2015)
Directional Prediction of Stock Prices using Breaking News on Twitter
Ham Alostad et al.
2015 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT), VOL 1 (2015)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
Image steganalysis using a bee colony based feature selection algorithm
F. Ghareh Mohammadi et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2014)
The effect of news and public mood on stock movements
Qing Li et al.
INFORMATION SCIENCES (2014)
News impact on stock price return via sentiment analysis
Xiaodong Li et al.
KNOWLEDGE-BASED SYSTEMS (2014)
An Ant Colony Optimization Based Feature Selection for Web Page Classification
Esra Sarac et al.
SCIENTIFIC WORLD JOURNAL (2014)
Generalizing the Majority Voting Scheme to Spatially Constrained Voting
Andras Hajdu et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2013)
Predicting Disputes in Public-Private Partnership Projects: Classification and Ensemble Models
Jui-Sheng Chou et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2013)
Stock Prediction Using Event-based Sentiment Analysis
Masoud Makrehchi et al.
2013 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 1 (2013)
Financial distress prediction using support vector machines: Ensemble vs. individual
Jie Sun et al.
APPLIED SOFT COMPUTING (2012)
Predicting stock returns by classifier ensembles
Chih-Fong Tsai et al.
APPLIED SOFT COMPUTING (2011)
A Comparative Study of Nonlinear Machine Learning for the In Silico Depiction of Tyrosinase Inhibitory Activity from Molecular Structure
Huong Le-Thi-Thu et al.
MOLECULAR INFORMATICS (2011)
Is combining classifiers with stacking better than selecting the best one?
S Dzeroski et al.
MACHINE LEARNING (2004)
Combining classifiers with meta decision trees
L Todorovski et al.
MACHINE LEARNING (2003)
Combination of multiple classifiers for the customer's purchase behavior prediction
E Kim et al.
DECISION SUPPORT SYSTEMS (2003)
Biomimicry of bacterial foraging for distributed optimization and control
KM Passino
IEEE CONTROL SYSTEMS MAGAZINE (2002)