The Alternating Decision Tree Learning Algorithm

Logistic Regression, AdaBoost and Bregman Distances

Machine Learning

Combining Simple Discriminators for Object Discrimination

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III

Multiclass Alternating Decision Trees

ECML '02 Proceedings of the 13th European Conference on Machine Learning

Wrapping Boosters against Noise

AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

Optimizing the Induction of Alternating Decision Trees

PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Theoretical Views of Boosting and Applications

ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory

Adaptive duplicate detection using learnable string similarity measures

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

A Grey-Based Nearest Neighbor Approach for Missing Attribute Value Prediction

Applied Intelligence

Interruptible anytime algorithms for iterative improvement of decision trees

UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining

Deception Detection through Automatic, Unobtrusive Analysis of Nonverbal Behavior

IEEE Intelligent Systems

Dialog generation for voice browsing

W4A '06 Proceedings of the 2006 international cross-disciplinary workshop on Web accessibility (W4A): Building the mobile web: rediscovering accessibility?

Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization

IEEE Transactions on Knowledge and Data Engineering

Bayesian learning in text summarization

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing

ML-KNN: A lazy learning approach to multi-label learning

Pattern Recognition

Enhancing software quality estimation using ensemble-classifier based noise filtering

Intelligent Data Analysis

Evaluating noise elimination techniques for software quality estimation

Intelligent Data Analysis

Anytime Learning of Decision Trees

The Journal of Machine Learning Research

Delineating the citation impact of scientific discoveries

Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries

Diagnosing scrapie in sheep: A classification experiment

Computers in Biology and Medicine

Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study

IEEE Transactions on Knowledge and Data Engineering

Inductive logic programming for gene regulation prediction

Machine Learning

Improving multiclass pattern recognition with a co-evolutionary RBFNN

Pattern Recognition Letters

Learning Disjointness

ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications

How an Ensemble Method Can Compute a Comprehensible Model

DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery

INDUCTION FROM MULTI-LABEL EXAMPLES IN INFORMATION RETRIEVAL SYSTEMS: A CASE STUDY

Applied Artificial Intelligence

Consolidation of References to Persons in Bibliographic Databases

ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information

Software quality analysis by combining multiple projects and learners

Software Quality Control

A decision support system for detecting products missing from the shelf based on heuristic rules

Decision Support Systems

Ml-rbf: RBF Neural Networks for Multi-Label Learning

Neural Processing Letters

LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction

Proceedings of the 2009 ACM symposium on Applied Computing

A link mining algorithm for earnings forecast and trading

Data Mining and Knowledge Discovery

Classifying Biomedical Abstracts Using Committees of Classifiers and Collective Ranking Techniques

Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence

Latent classification models for binary data

Pattern Recognition

Feature fusion using Gabor filters and cooccurrence probabilities for fingerprint antispoofing

International Journal of Intelligent Systems Technologies and Applications

Feature selection for multi-label naive Bayes classification

Information Sciences: an International Journal

A fast boosting-based learner for feature-rich tagging and chunking

CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning

Any time induction of decision trees: an iterative improvement approach

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

A two-stage approach to retrieving answers for how-to questions

EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop

Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography

Computational Statistics & Data Analysis

Multi-hierarchy Information Visualization Research Based on Three-Dimensional Display of Products System

Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009

Inducing interpretable voting classifiers without trading accuracy for simplicity: theoretical results, approximation algorithms, and experiments

Journal of Artificial Intelligence Research

A framework for the application of decision trees to the analysis of SNPs data

CIBCB'09 Proceedings of the 6th Annual IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology

MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio

DS '09 Proceedings of the 12th International Conference on Discovery Science

Computing a Comprehensible Model for Spam Filtering

DS '09 Proceedings of the 12th International Conference on Discovery Science

Monitoring and analyzing influential factors of business process performance

EDOC'09 Proceedings of the 13th IEEE international conference on Enterprise Distributed Object Computing

Development of traditional Chinese medicine clinical data warehouse for medical knowledge discovery and decision support

Artificial Intelligence in Medicine

Learning multi-label alternating decision trees from texts and data

MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition

Evolving decision tree rule based system for audio stego anomalies detection based on Hausdorff distance statistics

Information Sciences: an International Journal

BOAI: fast alternating decision tree induction based on bottom-up evaluation

PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining

Exploiting propositionalization based on random relational rules for semi-supervised learning

PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining

Spoofing protection for fingerprint scanner by fusing ridge signal and valley noise

Pattern Recognition

Lexicographic multi-objective evolutionary induction of decision trees

International Journal of Bio-Inspired Computation

Audio steganalysis with Hausdorff distance higher order statistics using a rule based decision tree paradigm

Expert Systems with Applications: An International Journal

Learning a board Balanced Scorecard to improve corporate performance

Decision Support Systems

Real-time detection of apneas on a PDA

IEEE Transactions on Information Technology in Biomedicine

Complex feature alternating decision tree

International Journal of Intelligent Systems Technologies and Applications

GSM churn management by using fuzzy c-means clustering and adaptive neuro fuzzy inference system

Expert Systems with Applications: An International Journal

Automatic example queries for ad hoc databases

Proceedings of the 2011 ACM SIGMOD International Conference on Management of data

A lung cancer outcome calculator using ensemble data mining on SEER data

Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics

A supervised machine learning approach for duplicate detection over gazetteer records

GeoS'11 Proceedings of the 4th international conference on GeoSpatial semantics

Learning to select the correct answer in multi-stream question answering

Information Processing and Management: an International Journal

ETree miner: a new GUHA procedure for building exploration trees

ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems

Identifying significant features in HIV sequence to predict patients' response to therapies

BSB'11 Proceedings of the 6th Brazilian conference on Advances in bioinformatics and computational biology

Autonomous link spam detection in purely collaborative environments

Proceedings of the 7th International Symposium on Wikis and Open Collaboration

Automatic morphological classification of lung cancer subtypes with boosting algorithms for optimizing therapy

MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging

FSKNN: Multi-label text categorization based on fuzzy similarity and k nearest neighbors

Expert Systems with Applications: An International Journal

Multi-instance multi-label learning

Artificial Intelligence

Boosting in PN spaces

ECML'06 Proceedings of the 17th European conference on Machine Learning

Detection of pathological cells in phase contrast cytological images

ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems

A modular framework for the automatic classification of chromosomes in Q-band images

Computer Methods and Programs in Biomedicine

Motif discovery through predictive modeling of gene regulation

RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology

On the use of selective ensembles for relevance classification in case-based web search

ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning

Predicting genetic regulatory response using classification: yeast stress response

RRG'04 Proceedings of the 2004 RECOMB international conference on Regulatory Genomics

Adapting the naive bayes classifier to rank procedural texts

ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval

Multi-Test decision trees for gene expression data analysis

SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems

Predicting software maintenance effort through evolutionary-based decision trees

Proceedings of the 27th Annual ACM Symposium on Applied Computing

Learning patterns of university student retention

Expert Systems with Applications: An International Journal

Development of a data mining-based analysis framework for multi-attribute construction project information

Advanced Engineering Informatics

From throw-away traffic to bots: detecting the rise of DGA-based malware

Security'12 Proceedings of the 21st USENIX conference on Security symposium

Searching biosignal databases by content and context: Research Oriented Integration System for ECG Signals (ROISES)

Computer Methods and Programs in Biomedicine

Making a Shallow Network Deep: Conversion of a Boosting Classifier into a Decision Tree by Boolean Optimisation

International Journal of Computer Vision

Predicting the secondary structure of proteins using machine learning algorithms

International Journal of Data Mining and Bioinformatics

Threading machine generated email

Proceedings of the sixth ACM international conference on Web search and data mining

Defect cluster recognition system for fabricated semiconductor wafers

Engineering Applications of Artificial Intelligence

Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data

Applied Intelligence

Decision trees: a recent overview

Artificial Intelligence Review

Metafraud: a meta-learning framework for detecting financial fraud

MIS Quarterly

Exploiting user feedback to learn to rank answers in q&a forums: a case study with stack overflow

Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval

Community-based features for identifying spammers in online social networks

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Predicting students' final performance from participation in on-line discussion forums

Computers & Education

Automated morphological classification of lung cancer subtypes using H&E tissue images

Machine Vision and Applications

Social network analysis for customer churn prediction

Applied Soft Computing

Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation

Information Sciences: an International Journal

BoostingTree: parallel selection of weak learners in boosting, with application to ranking

Machine Learning

Lung cancer survival prediction using ensemble data mining on SEER data

Scientific Programming - Biological Knowledge Discovery and Data Mining

Building fast decision trees from large training sets

Intelligent Data Analysis