Citation Impact
Citing Papers
A Review of Metaverse’s Definitions, Architecture, Applications, Challenges, Issues, Solutions, and Future Trends
2022 Standout
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
2007
Transfer Learning for Reinforcement Learning Domains: A Survey
2009
Continual lifelong learning with neural networks: A review
2019 Standout
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 Standout
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Incremental Learning of Concept Drift in Nonstationary Environments
2011
An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.
2009 Standout
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 Standout
Sensorimotor coupling in music and the psychology of the groove.
2011 Standout
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Exponentially weighted moving average charts for detecting concept drift
2011
Incremental learning with partial instance memory
2003
The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift
2009
The adARC pattern analysis architecture for adaptive human activity recognition systems
2011
How To Build and Interpret a Nomogram for Cancer Prognosis
2008 Standout
Predictive Handling of Asynchronous Concept Drifts in Distributed Environments
2012
Active Learning With Drifting Streaming Data
2013
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
2017 Standout
Local Interpretable Model-Agnostic Explanations For Music Content Analysis.
2017
Selecting Examples for Partial Memory Learning
2000
Learning from Imbalanced Data
2009 Standout
Semantic audio content-based music recommendation and visualization based on user preference examples
2012
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
A case-based technique for tracking concept drift in spam filtering
2005
Detecting the change of customer behavior based on decision tree analysis
2005
Reinforcement learning for building controls: The opportunities and challenges
2020 Standout
An introduction to ROC analysis
2005 Standout
Support vector machines in remote sensing: A review
2010 Standout
The WEKA data mining software
2009 Standout
Using multiple windows to track concept drift
2004
Mining the change of customer behavior in an internet shopping mall
2001
Functional Trees
2004
Data-driven Soft Sensors in the process industry
2009 Standout
On the window size for classification in changing environments
2009
Learning model trees from evolving data streams
2010
Zeitgeist or chameleon? A quantitative analysis of CSR definitions
2016 Standout
Ensemble-based classifiers
2009 Standout
An introduction to decision tree modeling
2004
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
2013 Standout
Change Detection in Streaming Multivariate Data Using Likelihood Detectors
2011
Cost-sensitive boosting for classification of imbalanced data
2007 Standout
Classifier Technology and the Illusion of Progress
2006
Progress and prospects for event tourism research
2015 Standout
Learning from streaming data with concept drift and imbalance: an overview
2012
Learning drifting concepts: Example selection vs. example weighting
2004
Tracking recurring contexts using ensemble classifiers: an application to email filtering
2009
Scalable and efficient multi-label classification for evolving data streams
2012
Show Me the Band and I Will Show You the Market
2012
A Comprehensive Survey on Transfer Learning
2020 Standout
EROS: Ensemble rough subspaces
2007
Application of data mining techniques in customer relationship management: A literature review and classification
2008 Standout
A combinational incremental ensemble of classifiers as a technique for predicting students’ performance in distance education
2010
Tolerating Concept and Sampling Shift in Lazy Learning Using Prediction Error Context Switching
1997
Combining similarity in time and space for training set formation under concept drift
2011
Learning in Nonstationary Environments: A Survey
2015
Collaborative filtering with temporal dynamics
2010
Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams
2006
Gradual Forgetting for Adaptation to Concept Drift
2000
A tutorial on human activity recognition using body-worn inertial sensors
2014 Standout
Decision trees for mining data streams
2006
Ensemble of online neural networks for non-stationary and imbalanced data streams
2013
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network
2020 Standout
Singer Identification for Metaverse with Timbral and Middle-Level Perceptual Features
2022
Recommender systems survey
2013 Standout
User Modeling for Adaptive News Access
2000
EVE: a framework for event detection
2012
Incremental Learning of Concept Drift from Streaming Imbalanced Data
2012
Predicting students' final performance from participation in on-line discussion forums
2013 Standout
Separate-and-Conquer Rule Learning
1999
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
SMOTE: Synthetic Minority Over-sampling Technique
2002 Standout
Itemset trees for targeted association querying
2003
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
1998
Fuzzy classification in dynamic environments
2010
Review of adaptation mechanisms for data-driven soft sensors
2010
Online neural network model for non-stationary and imbalanced data stream classification
2013
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
Performance of some variable selection methods when multicollinearity is present
2005 Standout
Oil spill detection by satellite remote sensing
2005 Standout
Beyond the beat: Modeling metric structure in music and performance
2008
A Method of Automated Nonparametric Content Analysis for Social Science
2009 Standout
A comparison of fraud cues and classification methods for fake escrow website detection
2009
Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?
2011
Satellite‐based precipitation estimation using watershed segmentation and growing hierarchical self‐organizing map
2006
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
2005 Standout
Extracting Hidden Context
1998
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 Standout
Credit card fraud detection and concept-drift adaptation with delayed supervised information
2015
Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams
2012
How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument
2017 Standout
A survey on concept drift adaptation
2014 Standout
A Review on Multi-Label Learning Algorithms
2013 Standout
A survey of transfer learning
2016 Standout
A Model of Text for Experimentation in the Social Sciences
2016 Standout
On evaluating stream learning algorithms
2012
GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier
2013
Incremental learning with multi-level adaptation
2011
A unifying view on dataset shift in classification
2011
A review of novelty detection
2014 Standout
Boosting classifiers for drifting concepts
2006
A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields
2022 Standout
Chemical gas sensor drift compensation using classifier ensembles
2012 Standout
Structural Topic Models for Open‐Ended Survey Responses
2014 Standout
Dealing With Concept Drifts in Process Mining
2013
Works of Gerhard Widmer being referenced
Recognition and Exploitation of Contextual CLues via Incremental Meta-Learning.
1996
Combining robustness and flexibility in learning drifting concepts
1994
Music performer recognition using an ensemble of simple classifiers
2002
Combining Knowledge-Based and Instance-Based Learning to Exploit Qualitative Knowledge.
1993
Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study
2001
Learning flexible concepts from streams of examples: FLORA2
1992
Feature-combination hybrid recommender systems for automated music playlist continuation
2019
Guest Editors'Introduction
1998
Automatic identification of music performers with learning ensembles
2005
Tracking Context Changes through Meta-Learning
1997
Novelty Detection Based On Spectral Similarity Of Songs.
2005
Sense in expressive music performance: Data acquisition, computational studies, and models
2008
A music information system automatically generated via Web content mining techniques
2010
On Rhythm And General Music Similarity.
2009
Islands Of Gaussians: The Self Organizing Map And Gaussian Music Similarity Features.
2010
Towards Light-Weight, Real-Time-Capable Singing Voice Detection.
2013
Classification Of Dance Music By Periodicity Patterns.
2003
I-VECTORS FOR TIMBRE-BASED MUSIC SIMILARITY AND MUSIC ARTIST CLASSIFICATION
2015
Learning in the Presence of Concept Drift and Hidden Contexts
1996
Learning in the presence of concept drift and hidden contexts
1996
Exploring Music Collections by Browsing Different Views
2004