Bianca Zadrozny

According to our database1, Bianca Zadrozny authored at least 53 papers between 2001 and 2019.

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Bibliography

2019
Efficient variography with partition variograms.
Computers & Geosciences, 2019

Learning Multi-Party Turn-Taking Models from Dialogue Logs.
CoRR, 2019

Semantic Segmentation of Seismic Images.
CoRR, 2019

2018
Correlation analysis of performance measures for multi-label classification.
Inf. Process. Manage., 2018

Categorizing feature selection methods for multi-label classification.
Artif. Intell. Rev., 2018

Efficient Classification of Seismic Textures.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
A data-driven workflow for predicting horizontal well production using vertical well logs.
CoRR, 2017

2016
A Fast and Effective Strategy for Feature Selection in High-dimensional Datasets.
JIDM, 2016

Pooling Hybrid Representations for Web Structured Data Annotation.
CoRR, 2016

2015
Information Gain Feature Selection for Multi-Label Classification.
JIDM, 2015

USapiens: A System for Urban Trajectory Data Analytics.
Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

Detecting Semantically Equivalent Questions in Online User Forums.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Learning Hybrid Representations to Retrieve Semantically Equivalent Questions.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Bus Travel Time Predictions Using Additive Models.
CoRR, 2014

A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer's disease and mild cognitive impairment.
Comp. in Bio. and Med., 2014

Training State-of-the-Art Portuguese POS Taggers without Handcrafted Features.
Proceedings of the Computational Processing of the Portuguese Language, 2014

Learning Character-level Representations for Part-of-Speech Tagging.
Proceedings of the 31th International Conference on Machine Learning, 2014

Bus Travel Time Predictions Using Additive Models.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Relevance Measures for Multivalued Attributes in Multiclass Datasets.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

Vistradas: Visual Analytics for Urban Trajectory Data.
Proceedings of the XV Brazilian Symposium on Geoinformatics, Campos do Jordão, São Paulo, Brazil, November 30, 2014

2013
A Relevance Measure for Multivalued Attributes.
JIDM, 2013

Undersampling Strategy Based on Clustering to Improve the Performance of Splice Site Classification in Human Genes.
Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013

2012
Predicting Conditional Quantiles via Reduction to Classification.
CoRR, 2012

2011
Sensor data analysis for equipment monitoring.
Knowl. Inf. Syst., 2011

Improving Lazy Attribute Selection.
JIDM, 2011

Lazy attribute selection: Choosing attributes at classification time.
Intell. Data Anal., 2011

2010
A Method for Generating Emergent Behaviors Using Machine Learning to Strategy Games.
Proceedings of the 2010 Brazilian Symposium on Games and Digital Entertainment, 2010

2009
Modeling Quantiles.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Exploiting contexts to deal with uncertainty in classification.
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009

Tutorial summary: Reductions in machine learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Guest editorial: special issue on utility-based data mining.
Data Min. Knowl. Discov., 2008

2007
Ranking-based evaluation of regression models.
Knowl. Inf. Syst., 2007

High-quantile modeling for customer wallet estimation and other applications.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006
UBDM 2006: Utility-Based Data Mining 2006 workshop report.
SIGKDD Explorations, 2006

Predicting Conditional Quantiles via Reduction to Classification.
Proceedings of the UAI '06, 2006

Outlier detection by active learning.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Using secure coprocessors for privacy preserving collaborative data mining and analysis.
Proceedings of the Workshop on Data Management on New Hardware, 2006

2005
Report on UBDM-05: Workshop on Utility-Based Data Mining.
SIGKDD Explorations, 2005

Relating reinforcement learning performance to classification performance.
Proceedings of the Machine Learning, 2005

Error limiting reductions between classification tasks.
Proceedings of the Machine Learning, 2005

Ranking-Based Evaluation of Regression Models.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Business Performance Management System for CRM and Sales Execution.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

Estimating Class Membership Probabilities using Classifier Learners.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

Weighted One-Against-All.
Proceedings of the Proceedings, 2005

2004
An iterative method for multi-class cost-sensitive learning.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Learning and evaluating classifiers under sample selection bias.
Proceedings of the Machine Learning, 2004

2003
Cost-Sensitive Learning by Cost-Proportionate Example Weighting.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Transforming classifier scores into accurate multiclass probability estimates.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Sequential cost-sensitive decision making with reinforcement learning.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001
Learning and making decisions when costs and probabilities are both unknown.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001


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