Jakub Nalepa

Eng. Appl. Artif. Intell., January, 2024

Hyperspectral Image Super-Resolution: Task-Based Evaluation.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Ensembles of evolutionarily-constructed support vector machine cascades.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Few-shot satellite image classification for bringing deep learning on board OPS-SAT.

[BibT_eX]

[DOI]

Ramez Shendy

Agnieszka Mikolajczyk-Barela

Expert Syst. Appl., 2024

Quantifying inconsistencies in the Hamburg Sign Language Notation System.

[BibT_eX]

[DOI]

Milena Olech

Expert Syst. Appl., 2024

Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods.

[BibT_eX]

[DOI]

CoRR, 2024

The OPS-SAT benchmark for detecting anomalies in satellite telemetry.

[BibT_eX]

[DOI]

CoRR, 2024

European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry.

[BibT_eX]

[DOI]

CoRR, 2024

Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI.

[BibT_eX]

[DOI]

CoRR, 2024

Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning.

[BibT_eX]

[DOI]

Mariusz Bujny

Katarzyna Jesionek

Benjamín Gutiérrez-Becker

Katarzyna Widawka-Zak

Sabina Wolny

Marcin Kostur

CoRR, 2024

Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies.

[BibT_eX]

[DOI]

Agata Krason

Jean Tessier

Benjamín Gutiérrez-Becker

Comput. Medical Imaging Graph., 2024

Standardized validation of vehicle routing algorithms.

[BibT_eX]

[DOI]

Appl. Intell., 2024

Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning.

[BibT_eX]

[DOI]

Krzysztof Kotowski

Bartosz Machura

Damian Kucharski

Agata Krason

Jean Tessier

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

Seeing the Invisible: On Aortic Valve Reconstruction in Non-contrast CT.

[BibT_eX]

[DOI]

Marcin Kostur

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Detection of Bare Soil in Hyperspectral Images Using Quantum-Kernel Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

Designing (Not Only) Lunar Space Data Centers.

[BibT_eX]

[DOI]

Pierre-Philippe Mathieu

Proceedings of the IGARSS 2024, 2024

Intuition-1: Toward In-Orbit Bare Soil Detection Using Spectral Vegetation Indices.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

Utility of Quantum Kernel Machines in Remote Sensing Applications.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning.

[BibT_eX]

[DOI]

Martyna Kurbiel

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms.

[BibT_eX]

[DOI]

Bartlomiej Pycinski

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

OXI: An online tool for visualization and annotation of satellite time series data.

[BibT_eX]

[DOI]

SoftwareX, July, 2023

Data from: Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning.

[BibT_eX]

[DOI]

Mariusz Bujny

Katarzyna Jesionek

Agnieszka Mikolajczyk-Barela

Katarzyna Widawka-Zak

Sabina Wolny

Marcin Kostur

Dataset, May, 2023

Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, March, 2023

Multitemporal and Multispectral Data Fusion for Super-Resolution of Sentinel-2 Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Quantum Machine Learning for Remote Sensing: Exploring potential and challenges.

[BibT_eX]

[DOI]

CoRR, 2023

Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection.

[BibT_eX]

[DOI]

CoRR, 2023

On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study.

[BibT_eX]

[DOI]

Milena Olech

Benjamín Gutiérrez-Becker

CoRR, 2023

Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2023

Hyperspectral Image Pansharpening: The Prisma Case Study.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Toward On-Board Methane Detection in Hyperspectral Images.

[BibT_eX]

[DOI]

Michel-François Foulon

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Unbiased Validation of Hyperspectral Unmixing Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Benchmarking Space-Based Data Center Architectures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Machine Learning Detects a Biopsy Needle in Ultrasound Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

Deep Learning Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features.

[BibT_eX]

[DOI]

Bogdan Ruszczak

Proceedings of the Computational Science - ICCS 2023, 2023

Machine Learning Detects Anomalies in OPS-SAT Telemetry.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2023, 2023

On the Impact of Noisy Labels on Supervised Classification Models.

[BibT_eX]

[DOI]

Rafal Dubel

Proceedings of the Computational Science - ICCS 2023, 2023

Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Parallel Cooperative Memetic Co-evolution for VRPTW.

[BibT_eX]

[DOI]

Tomasz Jastrzab

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

First Gradually, Then Suddenly: Understanding the Impact of Image Compression on Object Detection Using Deep Learning.

[BibT_eX]

[DOI]

Tomasz Gandor

Sensors, 2022

Unbiasing the Estimation of Chlorophyll from Hyperspectral Images: A Benchmark Dataset, Validation Procedure and Baseline Results.

[BibT_eX]

[DOI]

Bogdan Ruszczak

Magdalena Machnikowska-Sokolowska

Remote. Sens., 2022

A Multibranch Convolutional Neural Network for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Self-Configuring nnU-Nets Detect Clouds in Satellite Images.

[BibT_eX]

[DOI]

CoRR, 2022

MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2022

Segmenting pediatric optic pathway gliomas from MRI using deep learning.

[BibT_eX]

[DOI]

Oskar Bozek

Agata Wisz

Elzbieta Jurkiewicz

Comput. Biol. Medicine, 2022

Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA.

[BibT_eX]

[DOI]

Proceedings of the Applications of Medical Artificial Intelligence, 2022

Data Augmentation for Multi-Image Super-Resolution.

[BibT_eX]

[DOI]

Maciej Ziaja

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Semi-Simulated Training Data for Multi-Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Learning Meets Radiomics For End-To-End Brain Tumor MRI Analysis.

[BibT_eX]

[DOI]

Wojciech Ponikiewski

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Particle Swarm Optimization Configures the Route Minimization Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2022, 2022

Evolutionary algorithms meet classical and deep machine learning for skin detection in color images.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Cascades of evolutionary support vector machines.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Cooperative co-evolutionary memetic algorithm for pickup and delivery problem with time windows.

[BibT_eX]

[DOI]

Tomasz Jastrzab

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Robustifying Automatic Assessment of Brain Tumor Progression from MRI.

[BibT_eX]

[DOI]

Krzysztof Kotowski

Bartosz Machura

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

Federated Evaluation of nnU-Nets Enhanced with Domain Knowledge for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images.

[BibT_eX]

[DOI]

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

2021

Recent Advances in Multi- and Hyperspectral Image Analysis.

[BibT_eX]

[DOI]

Sensors, 2021

Benchmarking Deep Learning for On-Board Space Applications.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Deep Ensembles for Hyperspectral Image Data Classification and Unmixing.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2021

Evolving data-adaptive support vector machines for binary classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Towards Robust Cloud Detection in Satellite Images Using U-Nets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Graph Neural Network For Multiple-Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Evolving Deep Ensembles For Detecting Covid-19 In Chest X-Rays.

[BibT_eX]

[DOI]

Piotr Bosowski

Joanna Bosowska

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Coupling nnU-Nets with Expert Knowledge for Accurate Brain Tumor Segmentation from MRI.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation.

[BibT_eX]

[DOI]

Marek Antoniak

Microprocess. Microsystems, 2020

Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

Deep Learning for Multiple-Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2020

Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Access, 2020

Multiple-Image Super-Resolution Using Deep Learning and Statistical Features.

[BibT_eX]

[DOI]

Krzysztof Hrynczenko

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Segmenting Hyperspectral Images Using Spectral Convolutional Neural Networks in the Presence of Noise.

[BibT_eX]

[DOI]

Marek Stanek

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Skinny: A Lightweight U-Net For Skin Detection And Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Lightweight U-Nets for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Validating Hyperspectral Image Segmentation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2019

Data Augmentation for Brain-Tumor Segmentation: A Review.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2019

Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2019

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.

[BibT_eX]

[DOI]

CoRR, 2019

Hyperspectral Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2019

Selecting training sets for support vector machines: a review.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2019

Segmentation of Multispectral Data Simulated from Hyperspectral Imagery.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

On Training Deep Networks for Satellite Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Man-Machine Interactions 6, 2019

Data Augmentation via Image Registration.

[BibT_eX]

[DOI]

Pawel Wawrzyniak

Pawel Ulrych

Janusz Szymanek

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Evolutionarily-tuned support vector machines.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Memetic Evolution of Classification Ensembles.

[BibT_eX]

[DOI]

Szymon Piechaczek

Proceedings of the Applications of Evolutionary Computation, 2019

On Evolutionary Classification Ensembles.

[BibT_eX]

[DOI]

Aleksandra Kardas

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Detection and Segmentation of Brain Tumors from MRI Using U-Nets.

[BibT_eX]

[DOI]

Krzysztof Kotowski

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper?

[BibT_eX]

[DOI]

Proceedings of the Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis, 2019

2018

Adaptive cooperation in parallel memetic algorithms for rich vehicle routing problems.

[BibT_eX]

[DOI]

Int. J. Grid Util. Comput., 2018

Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets.

[BibT_eX]

[DOI]

Grzegorz Mrukwa

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Multi-scale Voting Classifiers for Breast-Cancer Histology Images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2018

Automated Optimization of Non-linear Support Vector Machines for Binary Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2018

Transferring Information Across Medical Images of Different Modalities.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Extracting Biomarkers from Dynamic Images - Approaches and Challenges.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Genetically-trained deep neural networks.

[BibT_eX]

[DOI]

Krzysztof Pawelczyk

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Parameter-less (meta)heuristics for vehicle routing problems.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Memetic evolution of deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Evolvable Deep Features.

[BibT_eX]

[DOI]

Grzegorz Mrukwa

Proceedings of the Applications of Evolutionary Computation, 2018

Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017

Adaptive guided ejection search for pickup and delivery with time windows.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2017

Complexity Analysis of the Parallel Guided Ejection Search for the Pickup and Delivery Problem with Time Windows.

[BibT_eX]

[DOI]

CoRR, 2017

A Parallel Memetic Algorithm for the Pickup and Delivery Problem with Time Windows.

[BibT_eX]

[DOI]

Proceedings of the 25th Euromicro International Conference on Parallel, 2017

An Alternating Genetic Algorithm for Selecting SVM Model and Training Set.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 9th Mexican Conference, 2017

Tuning and Evolving Support Vector Machine Models.

[BibT_eX]

[DOI]

Proceedings of the Man-Machine Interactions 5, 2017

Behind the Scenes of Deadline24: A Memetic Algorithm for the Modified Job Shop Scheduling Problem.

[BibT_eX]

[DOI]

Lukasz Zak

Proceedings of the Man-Machine Interactions 5, 2017

Complexity Analysis of the Parallel Memetic Algorithm for the Pickup and Delivery Problem with Time Windows.

[BibT_eX]

[DOI]

Proceedings of the Man-Machine Interactions 5, 2017

Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Hyper-parameter selection in deep neural networks using parallel particle swarm optimization.

[BibT_eX]

[DOI]

Luciano Sánchez Ramos

José Ranilla Pastor

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Particle swarm optimization for hyper-parameter selection in deep neural networks.

[BibT_eX]

[DOI]

Luciano Sánchez Ramos

José Ranilla Pastor

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

LCS-Based Selective Route Exchange Crossover for the Pickup and Delivery Problem with Time Windows.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2017

Hands-Free Research Workflow.

[BibT_eX]

[DOI]

Luciano Sánchez Ramos

José Ranilla Pastor

Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, 2017

Segmenting Lungs from Whole-Body CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017

Spatial Planning as a Hexomino Puzzle.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

Convergence Analysis of PSO for Hyper-Parameter Selection in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances on P2P, 2017

2016

Adaptive memetic algorithm for minimizing distance in the vehicle routing problem with time windows.

[BibT_eX]

[DOI]

Soft Comput., 2016

Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Hybrid adaptation for detecting skin in color images.

[BibT_eX]

[DOI]

Intell. Data Anal., 2016

In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2016, 2016

The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Is Your Parallel Algorithm Correct?

[BibT_eX]

[DOI]

Proceedings of the Position Papers of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Manifold Learning for Hand Pose Recognition: Evaluation Framework.

[BibT_eX]

[DOI]

Maciej Papiez

Proceedings of the Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 2016

Enhanced Guided Ejection Search for the Pickup and Delivery Problem with Time Windows.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

How to Generate Benchmarks for Rich Routing Problems?

[BibT_eX]

[DOI]

Marcin Dublanski

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

Temporally Adaptive Co-operation Schemes.

[BibT_eX]

[DOI]

Proceedings of the Advances on P2P, 2016

2015

Co-operation in the Parallel Memetic Algorithm.

[BibT_eX]

[DOI]

Int. J. Parallel Program., 2015

A Parallel Algorithm for Minimizing the Fleet Size in the Pickup and Delivery Problem with Time Windows.

[BibT_eX]

[DOI]

Proceedings of the 22nd European MPI Users' Group Meeting, 2015

Adaptive memetic algorithm for the job shop scheduling problem.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Real-Time People Counting from Depth Images.

[BibT_eX]

[DOI]

Janusz Szymanek

Proceedings of the Beyond Databases, Architectures and Structures, 2015

Impact of Parallel Memetic Algorithm Parameters on Its Efficacy.

[BibT_eX]

[DOI]

Proceedings of the Beyond Databases, Architectures and Structures, 2015

Towards parameter-less support vector machines.

[BibT_eX]

[DOI]

Krzysztof Siminski

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

Towards robust SVM training from weakly labeled large data sets.

[BibT_eX]

[DOI]

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

A Parallel Algorithm with the Search Space Partition for the Pickup and Delivery with Time Windows.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on P2P, 2015

2014

Spatial-based skin detection using discriminative skin-presence features.

[BibT_eX]

[DOI]

Jolanta Kawulok

Pattern Recognit. Lett., 2014

Self-adaptive algorithm for segmenting skin regions.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2014

Real-Time Hand Shape Classification.

[BibT_eX]

[DOI]

CoRR, 2014

A Parallel Memetic Algorithm to Solve the Vehicle Routing Problem with Time Windows.

[BibT_eX]

[DOI]

Zbigniew J. Czech

CoRR, 2014

Hand pose estimation using support vector machines with evolutionary training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Systems, Signals and Image Processing, 2014

Texture Analysis for Identifying Heterogeneity in Medical Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Graphics - International Conference, 2014

Dynamically Adaptive Genetic Algorithm to Select Training Data for SVMs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

A memetic algorithm to select training data for support vector machines.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Adaptive memetic algorithm for the vehicle routing problem with time windows.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A fast genetic algorithm for the flexible job shop scheduling problem.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Adaptive Genetic Algorithm to Select Training Data for Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

Self-Adaptive Skin Segmentation in Color Images.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Fast and Accurate Hand Shape Classification.

[BibT_eX]

[DOI]

Proceedings of the Beyond Databases, Architectures, and Structures, 2014

2013

Co-operation Schemes for the Parallel Memetic Algorithm.

[BibT_eX]

[DOI]

Zbigniew J. Czech

Proceedings of the Parallel Processing and Applied Mathematics, 2013

Parallel Hand Shape Classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Multimedia, 2013

Wrist Localization in Color Images for Hand Gesture Recognition.

[BibT_eX]

[DOI]

Tomasz Grzejszczak

Proceedings of the Man-Machine Interactions 3, 2013

Skin detection using spatial analysis with adaptive seed.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows.

[BibT_eX]

[DOI]

Zbigniew J. Czech

Proceedings of the Adaptive and Natural Computing Algorithms, 2013

Real-Time Wrist Localization in Hand Silhouettes.

[BibT_eX]

[DOI]

Tomasz Grzejszczak

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

2012

Support Vector Machines Training Data Selection Using a Genetic Algorithm.

[BibT_eX]

[DOI]