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Bianca Zadrozny
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2020 – today
- 2023
- [i15]Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad
, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran:
Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR abs/2310.18660 (2023) - 2022
- [c34]Dário A. B. Oliveira, Jorge Guevara Diaz
Controlling Weather Field Synthesis Using Variational Autoencoders. IGARSS 2022: 5027-5030 - [i14]Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson:
Wildfire risk forecast: An optimizable fire danger index. CoRR abs/2203.15558 (2022) - 2021
- [j16]Júlio Hoffimann, Maciel Zortea, Breno de Carvalho, Bianca Zadrozny:
Geostatistical Learning: Challenges and Opportunities. Frontiers Appl. Math. Stat. 7: 689393 (2021) - [j15]Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann
A lazy feature selection method for multi-label classification. Intell. Data Anal. 25(1): 21-34 (2021) - [i13]Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz:
A modular framework for extreme weather generation. CoRR abs/2102.04534 (2021) - [i12]Júlio Hoffimann, Maciel Zortea, Breno de Carvalho, Bianca Zadrozny:
Geostatistical Learning: Challenges and Opportunities. CoRR abs/2102.08791 (2021) - [i11]Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson, David Gold:
Decadal Forecasts with ResDMD: a Residual DMD Neural Network. CoRR abs/2106.11111 (2021) - [i10]Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell D. Watson:
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network. CoRR abs/2107.06846 (2021) - [i9]Jorge Guevara Diaz, Dario Borges, Campbell D. Watson, Bianca Zadrozny:
A comparative study of stochastic and deep generative models for multisite precipitation synthesis. CoRR abs/2107.08074 (2021) - [i8]Dário Augusto Borges Oliveira, Jorge Guevara Diaz
Controlling Weather Field Synthesis Using Variational Autoencoders. CoRR abs/2108.00048 (2021) - [i7]Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood:
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. CoRR abs/2112.05254 (2021)
2010 – 2019
- 2019
- [j14]Júlio Hoffimann
Efficient variography with partition variograms. Comput. Geosci. 131: 52-59 (2019) - [i6]Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny:
Semantic Segmentation of Seismic Images. CoRR abs/1905.04307 (2019) - [i5]Maíra Gatti de Bayser, Paulo Rodrigo Cavalin, Claudio S. Pinhanez, Bianca Zadrozny:
Learning Multi-Party Turn-Taking Models from Dialogue Logs. CoRR abs/1907.02090 (2019) - 2018
- [j13]Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann
Categorizing feature selection methods for multi-label classification. Artif. Intell. Rev. 49(1): 57-78 (2018) - [j12]Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann
Correlation analysis of performance measures for multi-label classification. Inf. Process. Manag. 54(3): 359-369 (2018) - [c33]Daniel Salles Chevitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny:
Efficient Classification of Seismic Textures. IJCNN 2018: 1-8 - 2017
- [i4]Jorge Guevara Diaz, Matthias Kormaksson, Bianca Zadrozny, Ligang Lu, John Tolle, Tyler Croft, Mingqi Wu, Jan Limbeck, Detlef Hohl:
A data-driven workflow for predicting horizontal well production using vertical well logs. CoRR abs/1705.06556 (2017) - 2016
- [j11]Mariana Tasca, Alexandre Plastino, Celso C. Ribeiro, Bianca Zadrozny:
A Fast and Effective Strategy for Feature Selection in High-dimensional Datasets. J. Inf. Data Manag. 7(2): 155-165 (2016) - [i3]Luciano Barbosa, Breno W. Carvalho, Bianca Zadrozny:
Pooling Hybrid Representations for Web Structured Data Annotation. CoRR abs/1610.00493 (2016) - 2015
- [j10]Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz H. C. Merschmann:
Information Gain Feature Selection for Multi-Label Classification. J. Inf. Data Manag. 6(1): 48-58 (2015) - [c32]Cícero Nogueira dos Santos, Luciano Barbosa, Dasha Bogdanova, Bianca Zadrozny:
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions. ACL (2) 2015: 694-699 - [c31]Dasha Bogdanova, Cícero Nogueira dos Santos, Luciano Barbosa, Bianca Zadrozny:
Detecting Semantically Equivalent Questions in Online User Forums. CoNLL 2015: 123-131 - [c30]Marcos R. Vieira, Luciano Barbosa, Matthias Kormaksson, Bianca Zadrozny:
USapiens: A System for Urban Trajectory Data Analytics. MDM (1) 2015: 255-262 - [e1]Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavaldà, Dino Pedreschi, Francesco Bonchi, Jaime S. Cardoso, Myra Spiliopoulou:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9286, Springer 2015, ISBN 978-3-319-23460-1 [contents] - 2014
- [j9]Flávio Luiz Seixas
A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer's disease and mild cognitive impairment. Comput. Biol. Medicine 51: 140-158 (2014) - [c29]Luciano Barbosa, Matthias Kormaksson, Marcos R. Vieira, Rafael Lage Tavares, Bianca Zadrozny:
Vistradas: Visual Analytics for Urban Trajectory Data. GeoInfo 2014: 174-179 - [c28]Mariana Tasca, Bianca Zadrozny, Alexandre Plastino:
Relevance Measures for Multivalued Attributes in Multiclass Datasets. IBERAMIA 2014: 344-355 - [c27]Matthias Kormaksson, Luciano Barbosa, Marcos R. Vieira, Bianca Zadrozny:
Bus Travel Time Predictions Using Additive Models. ICDM 2014: 875-880 - [c26]Cícero Nogueira dos Santos, Bianca Zadrozny:
Learning Character-level Representations for Part-of-Speech Tagging. ICML 2014: 1818-1826 - [c25]Cícero Nogueira dos Santos, Bianca Zadrozny:
Training State-of-the-Art Portuguese POS Taggers without Handcrafted Features. PROPOR 2014: 82-93 - [i2]Matthias Kormaksson, Luciano Barbosa, Marcos R. Vieira, Bianca Zadrozny:
Bus Travel Time Predictions Using Additive Models. CoRR abs/1411.7973 (2014) - 2013
- [j8]Mariana Tasca, Bianca Zadrozny, Alexandre Plastino:
A Relevance Measure for Multivalued Attributes. J. Inf. Data Manag. 4(3): 421-436 (2013) - [c24]Claudia Galarda Varassin, Alexandre Plastino, Helena Cristina da Gama Leitão, Bianca Zadrozny:
Undersampling Strategy Based on Clustering to Improve the Performance of Splice Site Classification in Human Genes. DEXA Workshops 2013: 85-89 - 2012
- [i1]John Langford, Roberto Oliveira, Bianca Zadrozny:
Predicting Conditional Quantiles via Reduction to Classification. CoRR abs/1206.6860 (2012) - 2011
- [j7]Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas:
Lazy attribute selection: Choosing attributes at classification time. Intell. Data Anal. 15(5): 715-732 (2011) - [j6]Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas:
Improving Lazy Attribute Selection. J. Inf. Data Manag. 2(3): 447-462 (2011) - [j5]Ana Cristina Bicharra Garcia
Sensor data analysis for equipment monitoring. Knowl. Inf. Syst. 28(2): 333-364 (2011) - 2010
- [c23]Alex Fernandes da V. Machado, Esteban Clua
A Method for Generating Emergent Behaviors Using Machine Learning to Strategy Games. SBGames 2010: 12-18
2000 – 2009
- 2009
- [c22]Alina Beygelzimer, John Langford, Bianca Zadrozny:
Tutorial summary: Reductions in machine learning. ICML 2009: 12 - [c21]Bianca Zadrozny, Gisele L. Pappa, Wagner Meira Jr., Marcos André Gonçalves
Exploiting contexts to deal with uncertainty in classification. KDD Workshop on Knowledge Discovery from Uncertain Data 2009: 19-22 - [r1]Claudia Perlich, Saharon Rosset, Bianca Zadrozny:
Modeling Quantiles. Encyclopedia of Data Warehousing and Mining 2009: 1324-1329 - 2008
- [j4]Gary M. Weiss
Guest editorial: special issue on utility-based data mining. Data Min. Knowl. Discov. 17(2): 129-135 (2008) - 2007
- [j3]Saharon Rosset, Claudia Perlich, Bianca Zadrozny:
Ranking-based evaluation of regression models. Knowl. Inf. Syst. 12(3): 331-353 (2007) - [c20]Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny:
High-quantile modeling for customer wallet estimation and other applications. KDD 2007: 977-985 - 2006
- [j2]Bianca Zadrozny, Gary M. Weiss
UBDM 2006: Utility-Based Data Mining 2006 workshop report. SIGKDD Explor. 8(2): 98-101 (2006) - [c19]Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth A. Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apté:
Using secure coprocessors for privacy preserving collaborative data mining and analysis. DaMoN 2006: 1 - [c18]Naoki Abe, Bianca Zadrozny, John Langford:
Outlier detection by active learning. KDD 2006: 504-509 - [c17]John Langford, Roberto Oliveira, Bianca Zadrozny:
Predicting Conditional Quantiles via Reduction to Classification. UAI 2006 - 2005
- [j1]Gary M. Weiss
Report on UBDM-05: Workshop on Utility-Based Data Mining. SIGKDD Explor. 7(2): 145-147 (2005) - [c16]Alina Beygelzimer, John Langford, Bianca Zadrozny:
Weighted One-Against-All. AAAI 2005: 720-725 - [c15]John Langford, Bianca Zadrozny:
Estimating Class Membership Probabilities using Classifier Learners. AISTATS 2005: 198-205 - [c14]Markus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe:
Business Performance Management System for CRM and Sales Execution. DEXA Workshops 2005: 908-913 - [c13]Saharon Rosset, Claudia Perlich, Bianca Zadrozny:
Ranking-Based Evaluation of Regression Models. ICDM 2005: 370-377 - [c12]Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu:
An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. ICDM 2005: 605-608 - [c11]Alina Beygelzimer, Varsha Dani
Error limiting reductions between classification tasks. ICML 2005: 49-56 - [c10]John Langford, Bianca Zadrozny:
Relating reinforcement learning performance to classification performance. ICML 2005: 473-480 - 2004
- [c9]Bianca Zadrozny:
Learning and evaluating classifiers under sample selection bias. ICML 2004 - [c8]Naoki Abe, Bianca Zadrozny, John Langford:
An iterative method for multi-class cost-sensitive learning. KDD 2004: 3-11 - 2003
- [c7]Bianca Zadrozny, John Langford, Naoki Abe:
Cost-Sensitive Learning by Cost-Proportionate Example Weighting. ICDM 2003: 435- - 2002
- [c6]Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté:
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. ICDM 2002: 3-10 - [c5]Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny:
Sequential cost-sensitive decision making with reinforcement learning. KDD 2002: 259-268 - [c4]Bianca Zadrozny, Charles Elkan:
Transforming classifier scores into accurate multiclass probability estimates. KDD 2002: 694-699 - 2001
- [c3]Bianca Zadrozny, Charles Elkan:
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. ICML 2001: 609-616 - [c2]Bianca Zadrozny, Charles Elkan:
Learning and making decisions when costs and probabilities are both unknown. KDD 2001: 204-213 - [c1]Bianca Zadrozny:
Reducing multiclass to binary by coupling probability estimates. NIPS 2001: 1041-1048
Coauthor Index
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