- 2020
- 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 [contents] - 2019
- Raid Rafi Omar Al-Nima, Tingting Han, Taolue Chen
:
Road Tracking Using Deep Reinforcement Learning for Self-driving Car Applications. CORES 2019: 106-116 - Jakramate Bootkrajang, Jakarin Chawachat, Eakkapap Trakulsanguan:
Deep-Based Openset Classification Technique and Its Application in Novel Food Categories Recognition. CORES 2019: 235-245 - Onur Büyüktopaç, Tankut Acarman:
Evaluation of a Feature Set with Word Embeddings to Improve Named Entity Recognition on Tweets. CORES 2019: 255-263 - Krisztián Búza, Tomás Horváth:
Factorization Machines for Blog Feedback Prediction. CORES 2019: 79-85 - Lijiang Chen, Lin Sun, Xia Mao:
Separation of Speech from Speech Interference Based on EGG. CORES 2019: 37-46 - Ewelina Choodowicz, Pawe Lisiecki, Piotr Lech:
Hybrid Algorithm for the Detection and Recognition of Railway Signs. CORES 2019: 337-347 - Ahmad Delforouzi, David Holighaus, Marcin Grzegorzek:
Deep Learning for Object Tracking in 360 Degree Videos. CORES 2019: 205-213 - Mariusz Flasinski:
Graph Grammar Models in Syntactic Pattern Recognition. CORES 2019: 1-10 - Pawel Forczmanski, Anton Smolinski, Adam Nowosielski, Krzysztof Malecki:
Segmentation of Scanned Documents Using Deep-Learning Approach. CORES 2019: 141-152 - Kinga Glinka, Agnieszka Wosiak, Danuta Zakrzewska:
Exploiting Label Interdependencies in Multi-label Classification. CORES 2019: 57-66 - Manuel Graña:
Lattice Auto-Associative Memories Induced Multivariate Morphology for Hyperspectral Image Spectral-Spatial Classification. CORES 2019: 316-325 - Marcin Iwanowski:
Image Contrast Enhancement Based on Laplacian-of-Gaussian Filter Combined with Morphological Reconstruction. CORES 2019: 305-315 - Robert Janowski, Michal Grabowski, Piotr Arabas:
New Heuristics for TCP Retransmission Timers. CORES 2019: 117-129 - Melinda Katona, Attila Kovács, Rózsa Dégi, László G. Nyúl:
Segmentation of Subretinal Hyperreflective Material and Pigment Epithelial Detachment Using Kernel Graph Cut. CORES 2019: 98-105 - Jakub Klikowski, Michal Wozniak:
Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification. CORES 2019: 360-369 - 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. CORES 2019: 224-234 - Victor Luferov, Ekaterina Fedotova:
A Deep Learning Approach to Recognition of the Atmospheric Circulation Regimes. CORES 2019: 195-204 - 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. CORES 2019: 295-304 - Amgad M. Mohammed, Enrique Onieva, Michal Wozniak:
Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning. CORES 2019: 86-97 - Kaneharu Nishino, Hiroshi Tezuka, Mary Inaba:
Toward Shareable Multi-abstraction-level Feature Extractor Based on a Bayesian Network. CORES 2019: 67-78 - 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. CORES 2019: 174-183 - Jukka K. Nurminen, Kari Rainio, Jukka-Pekka Numminen, Timo Syrjänen, Niklas Paganus, Karri Honkoila:
Object Detection in Design Diagrams with Machine Learning. CORES 2019: 27-36 - Krzysztof Okarma, Jaroslaw Fastowicz:
Computer Vision Methods for Non-destructive Quality Assessment in Additive Manufacturing. CORES 2019: 11-20 - Tomasz Orczyk, Rafal Doroz, Piotr Porwik:
Combined kNN Classifier for Classification of Incomplete Data. CORES 2019: 21-26 - Marek Pawlicki, Agata Gielczyk, Rafal Kozik, Michal Choras:
Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing. CORES 2019: 130-140 - Edward Pólrolniczak:
Singing Power Ratio Analysis in the Context of the Influence of Warm up on Singing Voice Quality. CORES 2019: 246-254 - Sebastian Porebski, Ewa Straszecka:
Improving the Quality of Clustering-Based Diagnostic Rules by Lowering Dimension of the Cluster Prototypes. CORES 2019: 47-56 - 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. CORES 2019: 184-194 - Izabela Rejer:
cGAAM - An Algorithm for Simultaneous Feature Selection and Clustering. CORES 2019: 153-163
