دنبال کردن
Bartosz Krawczyk
Bartosz Krawczyk
Assistant Professor, Center for Imaging Science, Rochester Institute of Technology, USA
ایمیل تأیید شده در rit.edu - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Learning from imbalanced data: open challenges and future directions‏
B Krawczyk‏
Progress in artificial intelligence 5 (4), 221-232, 2016‏
26592016
Learning from imbalanced data sets‏
A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera‏
Springer, 2018‏
1750*2018
Ensemble learning for data stream analysis: A survey‏
B Krawczyk, LL Minku, J Gama, J Stefanowski, M Woźniak‏
Information Fusion 37, 132-156, 2017‏
11612017
A survey on data preprocessing for data stream mining: Current status and future directions‏
S Ramírez-Gallego, B Krawczyk, S García, M Woźniak, F Herrera‏
Neurocomputing 239, 39-57, 2017‏
5652017
Cost-sensitive decision tree ensembles for effective imbalanced classification‏
B Krawczyk, M Woźniak, G Schaefer‏
Applied Soft Computing 14, 554-562, 2014‏
4212014
DeepSMOTE: Fusing deep learning and SMOTE for imbalanced data‏
D Dablain, B Krawczyk, NV Chawla‏
IEEE Transactions on Neural Networks and Learning Systems 34 (9), 6390 - 6404, 2023‏
3642023
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy‏
B Krawczyk, M Galar, Ł Jeleń, F Herrera‏
Applied Soft Computing 38, 714-726, 2016‏
2962016
Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets‏
JA Sáez, B Krawczyk, M Woźniak‏
Pattern Recognition 57, 164-178, 2016‏
2902016
Kappa Updated Ensemble for Drifting Data Stream Mining‏
A Cano, B Krawczyk‏
Machine Learning 109 (1), 175–218, 2020‏
1812020
Clustering-based ensembles for one-class classification‏
B Krawczyk, M Woźniak, B Cyganek‏
Information Sciences 264, 182-195, 2014‏
1762014
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation‏
A Gómez-Ríos, S Tabik, J Luengo, ASM Shihavuddin, B Krawczyk, ...‏
Expert Systems with Applications 118, 315-328, 2019‏
1622019
Radial-based oversampling for noisy imbalanced data classification‏
M Koziarski, B Krawczyk, M Woźniak‏
Neurocomputing 343, 19-33, 2019‏
1502019
Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise‏
M Koziarski, M Woźniak, B Krawczyk‏
Knowledge-Based Systems 204, 106223, 2020‏
1402020
An ensemble classification approach for melanoma diagnosis‏
G Schaefer, B Krawczyk, ME Celebi, H Iyatomi‏
Memetic Computing 6, 233-240, 2014‏
1292014
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data‏
Z Zhang, B Krawczyk, S Garcia, A Rosales-Pérez, F Herrera‏
Knowledge-Based Systems 106, 251-263, 2016‏
1262016
Online ensemble learning with abstaining classifiers for drifting and noisy data streams‏
B Krawczyk, A Cano‏
Applied Soft Computing 68, 677-692, 2018‏
1242018
Radial-Based Oversampling for Multiclass Imbalanced Data Classification‏
B Krawczyk, M Koziarski, M Woźniak‏
IEEE Transactions on Neural Networks and Learning Systems 31 (8), 2818-2831, 2020‏
1182020
Synthetic oversampling with the majority class: A new perspective on handling extreme imbalance‏
S Sharma, C Bellinger, B Krawczyk, O Zaiane, N Japkowicz‏
2018 IEEE international conference on data mining (ICDM), 447-456, 2018‏
1182018
Monotonic classification: An overview on algorithms, performance measures and data sets‏
JR Cano, PA Gutiérrez, B Krawczyk, M Woźniak, S García‏
Neurocomputing 341, 168-182, 2019‏
1102019
One-class classifiers with incremental learning and forgetting for data streams with concept drift‏
B Krawczyk, M Woźniak‏
Soft Computing 19 (12), 3387-3400, 2015‏
1092015
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20