CORES 2017 -- CONFERENCE PROGRAMME

The conference programme is available for download.

CONFERENCE PROGRAMME

Monday 22 May 2017

11:00 – 16:00

Registration of participants

13:00 – 14:30

Lunch

14:30 – 14:45

Opening ceremony

14:45 – 15:30

Plenary session I – Chair Prof. M. Kurzyński

Prof. Juliusz L. Kulikowski

Recognition of Fuzzy or Incompletely Described Objects

15:30 - 16:00

Coffee break

16:00 – 18:00


Session 1 - Features, learning, and classifiers 1

Chair Prof. P.S. Szczepaniak

  1. Mariusz Flasinski and Janusz Jurek.
    Methodology of the construction of a GDPLL(k) grammar-based syntactic pattern recognition system

  2. Sebastian Porębski and Ewa Straszecka.
    Diagnostic rule extraction using the Dempster-Shafer theory extended for fuzzy focal elements

  3. Leszek Klukowski.
    Determining of an Estimate of the Equivalence Relation on the Basis of Pairwise Comparisons

  4. Leszek J Chmielewski, Konrad Furmańczyk and Arkadiusz Orłowski.
    Competitive Detector of Changes with a Statistical Test

  5. Nadine Kuhnert, Oliver Lindenmayr and Andreas Maier.
    Classification of Body Regions based on MRI Log Files


16:00 – 18:00


Session 2 - Image processing and computer vision 1

Chair Prof. I. Rejer

  1. Leire Roa-Barco, Oscar Serradilla-Casado, Mikel Develasco-Vazquez, Asier Lopez-Zorrilla, Manuel Grana, Darya Chyzhyk and Catherine Price.
    A 2D/3D Convolutional Neural Network for brain white matter lesion detection in multimodal MRI

  2. Manuel Grana, Oier Echaniz, Beatriz Rodriguez-Vigil and Idoia Labayen.
    Automated segmentation of visceral adiposity in MRI in obese children

  3. Marcin Skobel, Marek Kowal and Józef Korbicz.
    Nuclei recognition using Iterated Conditional Modes approach

  4. Jakub Zak, Anna Korzynska, Lukasz Roszkowiak, Krzysztof Siemion, Sebastian Walerzak, Monika Walerzak and Konrad Walerzak.
    The Method of Teeth Region Detection in Panoramic Dental Radiographs

  5. Pawel Forczmanski.
    Performance Evaluation of Selected Thermal Imaging-based Human Face Detectors

  6. Krzysztof Okarma and Jarosław Fastowicz.
    Color Independent Quality Assessment of 3D Printed Surfaces Based on Image Entropy

19:00

Social event



Tuesday 23 May 2017

8:15 - 9:00

Plenary session II – Chair Prof. J.L. Kulikowski

Prof. Katarzyna Stąpor

Evaluating and comparing classifiers: review, some recommendations and limitations

9:00 – 9:45

Plenary session III – Chair Prof. M. Woźniak

Dr Bartosz Krawczyk

Challenges in Drifting Data Stream Mining

9:45 - 10:00

Coffee break

10:00 – 11:15


Session 3 - Features, learning, and classifiers 2

Chair Prof. J. Jurek

  1. Vitaliy Tayanov, Adam Krzyzak and Ching Suen.
    Some Properties of Consensus-Based Classification

  2. Szymon Wojciechowski, Szymon Wilk and Jerzy Stefanowski. An Algorithm for Selective Preprocessing of Multi-class Imbalanced Data

  3. Pawel Trajdos and Marek Kurzyński.
    Permutation-based Diversity Measure for Classifier-chain Approach.

  4. Saber Shokat Fadaee, Mohammad Sajjad Ghaemi, Hossein Azari Soufiani and Ravi Sundaram Chiron.
    A Robust Recommendation System with Graph Regularizer


10:00 – 11:15


Session 4 - Miscellaneous applications 1

Chair Prof. Manuel Grana

  1. Thomas McMahon and John Oommen.
    Enhancing English-Japanese Translation Using Syntactic Pattern Recognition Methods

  2. Muhammad Hassan Khan, Frederic Li, Muhammad Shahid Farid and Marcin Grzegorzek.
    Gait Recognition using Motion Trajectory Analysis

  3. Abdurrahman Pektas and Tankut Acarman.
    Portable Dynamic Malware Analysis with An Improved Scalability and Automatization

  4. Krisztian Buza and Piroska B. Kis.
    Towards Privacy-aware Keyboards


11:15 – 11:30

Coffee break

11:30 – 12:45

Session 5 - Features, learning, and classifiers 3

Chair Prof. Krisztian Buza

  1. Lukasz Korycki and Bartosz Krawczyk.
    Combining Active Learning and Self-Labeling for Data Stream Mining

  2. Magdalena Wiercioch.
    Feature selection in texts

  3. Abdurrahman Pektas and Tankut Acarman.
    Ensemble Machine Learning Approach for Android Malware Classification Using Hybrid Features

  4. Anis Yazidi and John Oommen.
    Novel Results on Random Walk-Jump Chains that Possess Tree-based Transitions


11:30 – 12:45

Session 6 - Image processing and computer vision 2

Chair Prof. K. Okarma

  1. Rafal Doroz, Krzysztof Wrobel and Hossein Safaverdi.
    The method of person verification by use of finger knuckle images

  2. Juan Luis Jiménez Bascones and Manuel Grana.
    An ensemble of weak classifiers for pattern recognition in motion capture clouds of points

  3. Arkadiusz Tomczyk and Piotr Szczepaniak.
    Knowledge Based Active Partition Approach for Heart Ventricle Recognition

  4. Simone Buoncompagni, Annalisa Franco and Dario Maio.
    Efficient sketch recognition based on shape features and multidimensional indexing


12:45 – 13:30


Session 7 – (poster I)

Chair Prof. P. Forczmański

  1. Dora Neubrandt and Krisztian Buza.
    Projection-based Person Identification

  2. Malgorzata Przytulska and Juliusz Kulikowski.
    Multi-aspect Assessment and Classification of Porous Materials Designed for Tissue Engineering

  3. Izabela Rejer and Paweł Górski.
    EEG classification for MI-BCI with Independent Component Analysis

  4. Konrad Jackowski.
    A Novel Simulated Annealing Based Training Algorithm for Data Stream Processing Ensemble Classifier

  5. Jakub Nawała and Bogusław Cyganek.
    Real-Time Image Content Assessment for Underwater Robot Manoeuvring Based on Structural Tensor Analysis

  6. Adam Merk, Piotr Cal and Michał Woźniak.
    Distributed DBSCAN algorithm - concept and experimental evaluation


13:30 14:30

Lunch

14:30 – 19:00

Excursion



19:30

Banquet



Wednesday 23 May 2017

9:00 –9:45

Session 8 – (poster II)

Chair Prof. M. Choraś

  1. Maciej Smiatacz.
    Playback attack detection: the search for the ultimate set of antispoof features

  2. Robert Burduk.
    Drift Detection Algorithm Using the Discriminant Function of the Base classifiers

  3. Edward Puchala and Maciej Krysmann.
    An algorithm for detecting the instant of olfactory stimulus perception, using the EEG signal and the Hilbert-Huang transform

  4. Marcin Majak, Andrzej Żołnierek, Katarzyna Wegrzyn and Lamine Bougueroua.
    Tweet classification framework for detecting events related to health problems.

  5. Agata Wojciechowska, Michal Choras and Rafał Kozik.
    Recent advances in image pre-processing methods for palmprint biometrics

  6. Marek Kurzynski and Jakub Kozerski.
    On a New Method of Dynamic Integration of Fuzzy Linear Regression Models


9:45 - 10:00

Coffee break

10:00 – 11:45


Session 9 - Miscellaneous applications 2

Chair Prof. Robert Burduk

  1. Adam Żychowski, Konstanty Junosza-Szaniawski and Aleksander Kosicki.
    Travel time prediction for trams in Warsaw

  2. Edward Półrolniczak.
    Objective description of choral singers voice quality using Glottal-to-Noise Excitation Ratio

  3. Adam Nowosielski.
    3-Steps Keyboard - Reduced Interaction Interface for Touchless Typing with Head Movements

  4. Krystian Radlak, Natalia Radlak and Bogdan Smolka.
    Static posed versus genuine smile recognition

  5. Marcin Majak and Marek Kurzyński.
    On a new method for improving weak classifiers using Bayes metaclassifier

10:00 – 11:45


Session 10- Image processing and computer vision 3

Chair Prof. B. Cyganek

  1. Aleksander Kostusiak.
    Frame-to-Frame Visual Odometry: the Importance of Local Transformations

  2. Przemysła Jędrusiak, Zygmunt Wróbel.
    Image Processing and analysis in lung cancer cell growth

  3. Ahmad Delforouzi, Amir Hossein Tabatabaei, Muhammad Hassan Khan and Marcin Grzegorzek.
    A vision-based method for automatic crack detection in railway sleepers

  4. Arkadiusz Cacko and Marcin Iwanowski.
    Rasterized maps search using text queries and reasoning

  5. Dr. Muhammad Shahid Farid, Dr. Maurizio Lucenteforte, Muhammad Hassan Khan and Prof. Marco Grangetto.
    Semi-automatic Segmentation of Scattered and Distributed Objects

  6. Grzegorz Kurzejamski and Marcin Iwanowski.
    Saliency-based optimization for the Histogram of Oriented Gradients based detection methods

11:45 – 12:00

Closing ceremony

12:00 13:30

Lunch

Layout by Maciej Krysmann