Citation Impact
Citing Papers
The spread of true and false news online
2018 StandoutScience
Building Intelligent Learning Database Systems
2000
Experiments with a new boosting algorithm
1996 Standout
Systematic Literature Review on the Spread of Health-related Misinformation on Social Media
2019 Standout
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 Standout
COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies
2020 Standout
Understanding online health information: Evaluation, tools, and strategies
2016
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Echo chambers and viral misinformation: Modeling fake news as complex contagion
2018
Deep learning in neural networks: An overview
2014 Standout
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Turning telecommunications call details to churn prediction: a data mining approach
2002
Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
2000 Standout
Learning Recognition and Segmentation Using the Cresceptron
1997
Pattern Recognition and Neural Networks
1996 Standout
Qualitative system identification: deriving structure from behavior
1996
Characteristics of dissociable human learning systems
1994 Standout
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study
2010
Feature selection for classification
1997 Standout
A snapshot of trusted personal devices applicable to transaction processing
2009
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
2013 Standout
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
2009 Standout
Random Forests for land cover classification
2005 Standout
Wrappers for feature subset selection
1997 Standout
A Model of Online Misinformation
2023 StandoutNobel
The CN2 induction algorithm
1989
Ensemble-based classifiers
2009 Standout
Decision trees and decision-making
1990
KernelADASYN: Kernel based adaptive synthetic data generation for imbalanced learning
2015
Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Performance
1987
Data clustering
1999 Standout
Anatomy of news consumption on Facebook
2017
Application of data mining techniques in customer relationship management: A literature review and classification
2008 Standout
Particle swarm optimization for parameter determination and feature selection of support vector machines
2007 Standout
A survey of trust in social networks
2013 Standout
Analyzing undergraduate students' performance using educational data mining
2017 Standout
Decomposition in data mining: an industrial case study
2000
Ensemble of keyword extraction methods and classifiers in text classification
2016 Standout
Inductive policy: The pragmatics of bias selection
1995
Fake news on Twitter during the 2016 U.S. presidential election
2019 StandoutScience
How to improve Bayesian reasoning without instruction: Frequency formats.
1995 Standout
Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
1992
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
1993
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts
1995
Understanding Conspiracy Theories
2019 Standout
A Survey on Deep Learning
2018
PRIMEROSE: PROBABILISTIC RULE INDUCTION METHOD BASED ON ROUGH SETS AND RESAMPLING METHODS
1995
Instance-Based Learning Algorithms
1991 Standout
Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry
2006 Standout
Separate-and-Conquer Rule Learning
1999
Effective data generation for imbalanced learning using conditional generative adversarial networks
2017 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
2014 Standout
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
1997 Standout
From model-based control to data-driven control: Survey, classification and perspective
2012 Standout
Rough set approach to knowledge-based decision support
1997 Standout
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Automated learning of decision rules for text categorization
1994
A comprehensive review on protection challenges and fault diagnosis in PV systems
2018 Standout
Addressing imbalanced data with argument based rule learning
2015
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
Improving prediction of preterm birth using a new classification scheme and rule induction.
1994
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
1999 Standout
The spreading of misinformation online
2016
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Data clustering: 50 years beyond K-means
2009 Standout
On digital soil mapping
2003 Standout
Machine learning in automated text categorization
2002 Standout
A Nearest Hyperrectangle Learning Method
1991
Data mining: concepts and techniques
2012 Standout
The CN2 Induction Algorithm
1989
Selection of relevant features and examples in machine learning
1997 Standout
Big data techniques in auditing research and practice: Current trends and future opportunities
2018
The Impact of Artificial Intelligence and Blockchain on the Accounting Profession
2020 Standout
Direct induction of compact rule-based classifiers for resource mapping
1994
Analysis of traffic accident severity using Decision Rules via Decision Trees
2013 Standout
A discretization algorithm based on Class-Attribute Contingency Coefficient
2007
Explorations of an Incremental, Bayesian Algorithm for Categorization
1992
Instance-based learning algorithms
1991 Standout
Data mining with big data
2013 Standout
Works of Igor Mozetič being referenced
The multi-purpose incremental learning system AQ15 and its testing application to three medical domains
1986
Emotional Dynamics in the Age of Misinformation
2015
Sentiment of Emojis
2015
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
2016
Cohesiveness in Financial News and its Relation to Market Volatility
2014
The AQ15 Inductive Learning System: An Overview and Experiments
1986
AQ15: Incremental Learning of Attribute-Based Descriptions from Examples: The Method and User's Guide
1986
Methods for knowledge acquisition and refinement in second generation expert systems
1989
An Ontology for Virtual Organization Breeding Environments
2007