Index for kraw

Krawarik, V.[Verena] * 2022: AI for the Media Industry: Application Potential and Automation Levels

Krawcyk, H. * 2017: Data Processing for the Space-based DESIS Hyperspectral Sensor

Krawczyk Becker, M. * 2015: Phase Processing for Single-Channel Speech Enhancement: History and recent advances
Includes: Krawczyk Becker, M. Krawczyk-Becker, M.

Krawczyk, A.[Artur] * 2021: Altitude on Cartographic Materials and Its Correction According to New Measurement Techniques
* 2021: Unified Methodology for the Generalisation of the Geometry of Features, A
* 2022: Accuracy of Code GNSS Receivers under Various Conditions
* 2022: Proposal of Redefinition of the Terms Geomatics and Geoinformatics on the Basis of Terminological Postulates
* 2023: Mining Geomatics

Krawczyk, B.[Bartosz] * 2012: Effective multiple classifier systems for breast thermogram analysis
* 2012: Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data
* 2013: Analysis of Properties of Malignant Cases for Imbalanced Breast Thermogram Feature Classification, An
* 2013: Classifier ensemble for an effective cytological image analysis
* 2013: HEp-2 Cell Classification Using Multi-dimensional Local Binary Patterns and Ensemble Classification
* 2013: Melanoma Classification Using Dermoscopy Imaging and Ensemble Learning
* 2014: Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning
* 2015: Effective Imbalanced Classification of Breast Thermogram Features
* 2015: On the usefulness of one-class classifier ensembles for decomposition of multi-class problems
* 2016: Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets
* 2018: Dynamic ensemble selection for multi-class classification with one-class classifiers
* 2018: Local ensemble learning from imbalanced and noisy data for word sense disambiguation
* 2019: Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams
* 2021: Class-Incremental Experience Replay for Continual Learning under Concept Drift
* 2022: Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams
Includes: Krawczyk, B.[Bartosz] Krawczyk, B.
15 for Krawczyk, B.

Krawczyk, D.[Damian] * 2023: Segmentation of 3D Point Cloud Data Representing Full Human Body Geometry: A Review

Krawczyk, G.[Grzegorz] * 2004: Perception-motivated high dynamic range video encoding
* 2007: High Dynamic Range Image and Video Compression: Fidelity Matching Human Visual Performance

Krawczyk, H.[Henryk] * 2015: Task Allocation and Scalability Evaluation for Real-Time Multimedia Processing in a Cluster Environment
* 2016: New Hyperspectral Sensor Desis On The Multi-payload Platform Muses Installed on the ISS, The
* 2019: Systematic approach to binary classification of images in video streams using shifting time windows
* 2021: Analysis-Ready Data from Hyperspectral Sensors: The Design of the EnMAP CARD4L-SR Data Product
* 2021: Meta-classification of remote sensing reflectance to estimate trophic status of inland and nearshore waters
Includes: Krawczyk, H.[Henryk] Krawczyk, H. Krawczyk, H.[Harald]

Krawczyk, M. * 2013: MMSE-Optimal Spectral Amplitude Estimation Given the STFT-Phase

Krawczyk, N. * 2018: Evaluation of Single-Chip, Real-Time Tomographic Data Processing on FPGA SoC Devices

Krawczyk, S.[Stephen] * 2005: Fusion of Local and Regional Approaches for On-Line Signature Verification
* 2005: Securing Electronic Medical Records Using Biometric Authentication

Krawczyk, W.[Wojciech] * 2023: Using Satellite Imagery and Aerial Orthophotos for the Multi-Decade Monitoring of Subalpine Norway Spruce Stands Changes in Gorce National Park, Poland

Krawiec, B. * 2012: Radiation Mapping in Post-Disaster Environments Using an Autonomous Helicopter

Krawiec, K.[Krzysztof] * 2001: Genetic Programming with Local Improvement for Visual Learning from Examples
* 2005: Visual Learning by Coevolutionary Feature Synthesis
* 2007: Generative learning of visual concepts using multiobjective genetic programming
* 2007: Learning and Recognition of Hand-Drawn Shapes Using Generative Genetic Programming
* 2016: Segmenting Retinal Blood Vessels With Deep Neural Networks
Includes: Krawiec, K.[Krzysztof] Krawiec, K.

Krawitz, P.[Peter] * 2023: Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles

Krawtschenko, R.[Roman] * 2020: Multi-frame super-resolution reconstruction based on mixed Poisson-Gaussian noise

Krawzcyk, H. * 2012: Future Spaceborne Hyperspectral Imager Enmap: Its In-flight Radiometric And Geometric Calibration Concept, The

Index for "k"


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