Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID11th CORES 2019: Polanica Zdroj, Poland
- Robert Burduk, Marek Kurzynski, Michal Wozniak:
Progress in Computer Recognition Systems, International Conference on Computer Recognition Systems, CORES 2019, Polanica-Zdrój, Poland, 20-22 May, 2019. Advances in Intelligent Systems and Computing 977, Springer 2020, ISBN 978-3-030-19737-7 - Mariusz Flasinski:
Graph Grammar Models in Syntactic Pattern Recognition. 1-10 - Krzysztof Okarma
, Jaroslaw Fastowicz:
Computer Vision Methods for Non-destructive Quality Assessment in Additive Manufacturing. 11-20 - Tomasz Orczyk, Rafal Doroz, Piotr Porwik:
Combined kNN Classifier for Classification of Incomplete Data. 21-26 - Jukka K. Nurminen, Kari Rainio, Jukka-Pekka Numminen, Timo Syrjänen, Niklas Paganus, Karri Honkoila:
Object Detection in Design Diagrams with Machine Learning. 27-36 - Lijiang Chen, Lin Sun, Xia Mao:
Separation of Speech from Speech Interference Based on EGG. 37-46 - Sebastian Porebski, Ewa Straszecka:
Improving the Quality of Clustering-Based Diagnostic Rules by Lowering Dimension of the Cluster Prototypes. 47-56 - Kinga Glinka, Agnieszka Wosiak, Danuta Zakrzewska:
Exploiting Label Interdependencies in Multi-label Classification. 57-66 - Kaneharu Nishino, Hiroshi Tezuka, Mary Inaba:
Toward Shareable Multi-abstraction-level Feature Extractor Based on a Bayesian Network. 67-78 - Krisztián Búza, Tomás Horváth:
Factorization Machines for Blog Feedback Prediction. 79-85 - Amgad M. Mohammed, Enrique Onieva, Michal Wozniak:
Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning. 86-97 - Melinda Katona, Attila Kovács, Rózsa Dégi, László G. Nyúl:
Segmentation of Subretinal Hyperreflective Material and Pigment Epithelial Detachment Using Kernel Graph Cut. 98-105 - Raid Rafi Omar Al-Nima, Tingting Han, Taolue Chen:
Road Tracking Using Deep Reinforcement Learning for Self-driving Car Applications. 106-116 - Robert Janowski, Michal Grabowski, Piotr Arabas:
New Heuristics for TCP Retransmission Timers. 117-129 - Marek Pawlicki, Agata Gielczyk, Rafal Kozik, Michal Choras:
Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing. 130-140 - Pawel Forczmanski, Anton Smolinski, Adam Nowosielski, Krzysztof Malecki:
Segmentation of Scanned Documents Using Deep-Learning Approach. 141-152 - Izabela Rejer:
cGAAM - An Algorithm for Simultaneous Feature Selection and Clustering. 153-163 - Dang Hoang Vu, Van Huy Nguyen, Phuong Le-Hong:
Online Adaptation of Language Models for Speech Recognition. 164-173 - Adam Nowosielski, Krzysztof Malecki, Pawel Forczmanski, Anton Smolinski:
Pedestrian Detection in Severe Lighting Conditions: Comparative Study of Human Performance vs Thermal-Imaging-Based Automatic System. 174-183 - Hawzhin Hozhabr Pour, Lukas Wegmeth, Alexander Kordes, Marcin Grzegorzek, Roland Wismüller:
Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach. 184-194 - Victor Luferov, Ekaterina Fedotova:
A Deep Learning Approach to Recognition of the Atmospheric Circulation Regimes. 195-204 - Ahmad Delforouzi, David Holighaus, Marcin Grzegorzek:
Deep Learning for Object Tracking in 360 Degree Videos. 205-213 - Maciej Smiatacz:
Texture Features for the Detection of Playback Attacks: Towards a Robust Solution. 214-223 - Jacek Klimaszewski, Marcin Korzen:
Image Smoothing Using \ell ^p ℓ p Penalty for 0\le p\le 1 0 ≤ p ≤ 1 with Use of Alternating Minimization Algorithm. 224-234 - Jakramate Bootkrajang, Jakarin Chawachat, Eakkapap Trakulsanguan:
Deep-Based Openset Classification Technique and Its Application in Novel Food Categories Recognition. 235-245 - Edward Pólrolniczak:
Singing Power Ratio Analysis in the Context of the Influence of Warm up on Singing Voice Quality. 246-254 - Onur Büyüktopaç, Tankut Acarman:
Evaluation of a Feature Set with Word Embeddings to Improve Named Entity Recognition on Tweets. 255-263 - Olgierd Unold, Edyta Rogula, Norbert Kozlowski:
Introducing Action Planning to the Anticipatory Classifier System ACS2. 264-275 - Ventzeslav Valev, Nicola Yanev, Adam Krzyzak, Karima Ben Suliman:
Supervised Classification Box Algorithm Based on Graph Partitioning. 276-285 - Mariusz Topolski:
Algorithm of Multidimensional Analysis of Main Features of PCA with Blurry Observation of Facility Features Detection of Carcinoma Cells Multiple Myeloma. 286-294 - Krzysztof Malecki, Pawel Forczmanski, Adam Nowosielski, Anton Smolinski, Daniel Ozga:
A New Benchmark Collection for Driver Fatigue Research Based on Thermal, Depth Map and Visible Light Imagery. 295-304 - Marcin Iwanowski:
Image Contrast Enhancement Based on Laplacian-of-Gaussian Filter Combined with Morphological Reconstruction. 305-315 - Manuel Graña:
Lattice Auto-Associative Memories Induced Multivariate Morphology for Hyperspectral Image Spectral-Spatial Classification. 316-325 - Pawel Trajdos, Marek Kurzynski:
Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers. 326-336 - Ewelina Choodowicz, Pawe Lisiecki, Piotr Lech:
Hybrid Algorithm for the Detection and Recognition of Railway Signs. 337-347 - Pawel Trajdos, Robert Burduk:
Combination of Linear Classifiers Using Score Function - Analysis of Possible Combination Strategies. 348-359 - Jakub Klikowski, Michal Wozniak:
Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification. 360-369
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-06-20 21:47 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
