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Maciej Zięba
Observed names:
M. Zięba,
Maciej Zieba,
Maciej Ziȩba,
Zieba, Maciej,
Zięba, Maciej
Institutions:
Wrocław University of Science and Technology,
eBay (United States)
Observed institutions:
Wrocław University of Science and Technology,
Uniwersytet Komisji Edukacji Narodowej w Krakowie,
University of Wrocław,
eBay (United States)
ORCID:
0000-0003-4217-7712
Observed ORCID:
0000-0003-4217-7712
OpenAlex ID:
A5083652196
Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction
2016
·
Maciej Zięba
, Sebastian K. Tomczak
, et al.
·
Expert Systems with Applications
·
419
Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients
2013
·
Maciej Zięba
, Jakub M. Tomczak
, et al.
·
Applied Soft Computing
·
157
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
2024
·
Michał Stypułkowski
, Konstantinos Vougioukas
, et al.
·
IEEE Winter Conference on Applications of Computer Vision
·
141
PDF
Adversarial autoencoders for compact representations of 3D point clouds
2020
·
Maciej Zamorski
, Maciej Zięba
, et al.
·
Computer Vision and Image Understanding
·
100
PDF
Classification Restricted Boltzmann Machine for comprehensible credit scoring model
2014
·
Jakub M. Tomczak
, Maciej Zięba
·
Expert Systems with Applications
·
100
NMRNet: a deep learning approach to automated peak picking of protein NMR spectra
2018
·
Piotr Klukowski
, Michał Augoff
, et al.
·
Bioinformatics
·
93
PDF
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
2018
·
Zieba, Maciej
, Semberecki, Piotr
, et al.
·
arXiv (Cornell University)
·
59
PDF
UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Tree
2020
·
Kania, Kacper
, Zięba, Maciej
, et al.
·
arXiv (Cornell University)
·
46
PDF
Boosted SVM with active learning strategy for imbalanced data
2014
·
Maciej Zięba
, Jakub M. Tomczak
·
Soft Computing
·
39
PDF
Speech driven video editing via an audio-conditioned diffusion model
2024
·
Dan Bigioi
, Shubhajit Basak
, et al.
·
Image and Vision Computing
·
38
HyperShot: Few-Shot Learning by Kernel HyperNetworks
2023
·
Marcin Sendera
, Marcin Przewiezlikowski
, et al.
·
IEEE Winter Conference on Applications of Computer Vision
·
32
PDF
Service-Oriented Medical System for Supporting Decisions With Missing and Imbalanced Data
2014
·
Maciej Zieba
·
IEEE Journal of Biomedical and Health Informatics
·
24
Probabilistic combination of classification rules and its application to medical diagnosis
2015
·
Jakub M. Tomczak
, Maciej Zięba
·
Machine Learning
·
22
PDF
Generative Adversarial Networks: Recent Developments
2019
·
Maciej Zamorski
, Adrian Zdobylak
, et al.
·
Lecture notes in computer science
·
21
PDF
Hypernetwork approach to generating point clouds
2020
·
Spurek, Przemysław
, Winczowski, Sebastian
, et al.
·
arXiv (Cornell University)
·
20
PDF
HyperMAML: Few-shot adaptation of deep models with hypernetworks
2024
·
Marcin Przewięźlikowski
, Przemysław Przybysz
, et al.
·
Neurocomputing
·
16
PDF
Post-training Quantization Methods for Deep Learning Models
2020
·
Piotr Kluska
, Maciej Zięba
·
Lecture notes in computer science
·
16
MineCam: Application of Combined Remote Sensing and Machine Learning for Segmentation and Change Detection of Mining Areas Enabling Multi-Purpose Monitoring
2024
·
Katarzyna Jabłońska
, Marcin Maksymowicz
, et al.
·
Remote Sensing
·
15
RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique
2015
·
Maciej Zięba
, Jakub M. Tomczak
, et al.
·
Lecture notes in computer science
·
13
Continual learning on 3D point clouds with random compressed rehearsal
2023
·
Maciej Zamorski
, Michał Stypułkowski
, et al.
·
Computer Vision and Image Understanding
·
12
PDF
Adversarial Autoencoders for Generating 3D Point Clouds
2018
·
Maciej Zamorski
, Maciej Zięba
, et al.
·
12
Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra
2018
·
Maciej Zieba
, Piotr Klukowski
, et al.
·
Applied Soft Computing
·
12
Training Triplet Networks with GAN
2017
·
Zieba, Maciej
, Wang, Lei
·
arXiv (Cornell University)
·
12
PDF
The Proposal of Service Oriented Data Mining System for Solving Real-Life Classification and Regression Problems
2011
·
Agnieszka Prusiewicz
, Maciej Zięba
·
IFIP International Federation for Information Processing/IFIP
·
12
PDF
Ensemble Classifier for Solving Credit Scoring Problems
2012
·
Maciej Zięba
, Jerzy Świątek
·
IFIP International Federation for Information Processing/IFIP
·
11
PDF
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Works count:
119
Citation count:
1,638
H-index:
16
I10-index:
29
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