• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 37 matches

• 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

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