Citation Impact
Citing Papers
Information Privacy Research: an Interdisciplinary Review1
2011 Standout
One-class svms for document classification
2002
Learning to classify text from labeled and unlabeled documents
1998
Context in Web Search.
2000
Recommendation as classification: using social and content-based information in recommendation
1998
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
2006 Standout
Book Recommending Using Text Categorization with Extracted Information
1998
Latent dirichlet allocation
2003 Standout
Large-scale automated synthesis of human functional neuroimaging data
2011 Standout
Machine learning for molecular and materials science
2018 StandoutNature
Data mining in soft computing framework: a survey
2002
Tracking-Learning-Detection
2011 Standout
Web mining in soft computing framework: relevance, state of the art and future directions
2002
Personalised hypermedia presentation techniques for improving online customer relationships
2001
Evolution of networks
2002 Standout
Collective Mining of Bayesian Networks from Distributed Heterogeneous Data
2004
Bayesian Networks and Decision Graphs
2007 Standout
Learning from Imbalanced Data
2009 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Learning to construct knowledge bases from the World Wide Web
2000
Correlation-based Feature Selection for Machine Learning
1998 Standout
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
2007 Standout
Dynamic reference sifting: a case study in the homepage domain
1997
Extracting comprehensible models from trained neural networks
1996
Toward an Integration of Landscape and Food Web Ecology: The Dynamics of Spatially Subsidized Food Webs
1997 Standout
Semi-Supervised Learning Literature Survey
2005 Standout
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
2009 Standout
Text Classification from Labeled and Unlabeled Documents using EM
2000
Top 10 algorithms in data mining
2007 Standout
A Framework for Collaborative, Content-Based and Demographic Filtering
1999 Standout
Applications of machine learning in information retrieval
1999
Cost-sensitive boosting for classification of imbalanced data
2007 Standout
Learning and Revising User Profiles: The Identification of Interesting Web Sites
1997
Predicting missing links via local information
2009 Standout
Application of data mining techniques in customer relationship management: A literature review and classification
2008 Standout
Exploring Versus Exploiting when Learning User Models for Text Recommendation
1998
A few useful things to know about machine learning
2012 Standout
Item-based top-Nrecommendation algorithms
2004 Standout
A peer-to-peer recommender system based on spontaneous affinities
2009
Discretization for naive-Bayes learning: managing discretization bias and variance
2008
The InfoFinder agent: learning user interests through heuristic phrase extraction
1997
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
Big Data: A Survey
2014 Standout
Coauthorship networks and academic literature recommendation
2010
Adaptive Hypermedia
2001 Standout
Focused crawling: a new approach to topic-specific Web resource discovery
1999
Evaluation of recommender systems: A new approach
2007
Recommender systems survey
2013 Standout
Idiot's Bayes—Not So Stupid After All?
2001
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
A survey on semi-supervised learning
2019 Standout
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
1997 Standout
Extended Latent Class Models for Collaborative Recommendation
2004
Evaluating collaborative filtering recommender systems
2004 Standout
Collaborative Filtering beyond the User-Item Matrix
2014 Standout
Anomaly detection
2009 Standout
E-Commerce Recommendation Applications
2001 Standout
Recommendation System based on user interaction data applied to intelligent electronic books
2010
topicmodels: AnRPackage for Fitting Topic Models
2011 Standout
Semi-Supervised Learning
2006 Standout
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
A Survey on Transfer Learning
2009 Standout
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
2016 Standout
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
2005 Standout
A market-based approach to recommender systems
2005
Machine learning in automated text categorization
2002 Standout
One-class document classification via Neural Networks
2006
Friends and neighbors on the Web
2003 Standout
Data mining: concepts and techniques
2012 Standout
Probabilistic memory-based collaborative filtering
2004
Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation
2007 Standout
Using unlabeled data to improve text classification
2001
The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
2010 Standout
Recommender system application developments: A survey
2015 Standout
Recommender Systems Research: A Connection-Centric Survey
2004
A review of novelty detection
2014 Standout
A Personalized System for Conversational Recommendations
2004
Hybrid Recommender Systems: Survey and Experiments
2002 Standout
Learning Analytics
2013 Standout
Data mining with big data
2013 Standout
Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text
2007 Standout
Works of Jack Muramatsu being referenced
Syskill & webert: Identifying interesting web sites
1996
Learning Probabilistic User Profiles: Applications for Finding Interesting Web Sites, Notifying Users of Relevant Changes to Web Pages, and Locating Grant Opportunities
1997