Zoom (WUST, Wrocław, Poland)

CORES 2023 - The 13th International Conference on Computer Recognition Systems

The 13th International Conference on Computer Recognition Systems (CORES’23) and the 13th International Conference on Image Processing and Communications (IP&C’23) organizing committees decided to firmly organize the conference on the scheduled date of June 29, 2023.

The entire conferences will be held in on-line mode using a videoconferencing system.

Conference programe
Date
June 29, 2023
Place
Your desk
Venue
Zoom
Location
Wrocław, Poland

Speakers

Learn from the experts.

Sebastian Basterrech

VSB-Technical University of Ostrava, Czech Republic

Optimization of recurrent nets: recent theoretical advances and applications in chaotic systems modeling

In this talk, we will give an overview of the standard methods for optimizing recurrent neural systems. The most widely used algorithms are based in first and second order derivatives of certain error landscape. We will discuss the main known limitations, and to show popularly-used performance-improving techniques. We will also shortly review a subfamily of recurrent nets named Reservoir Computing models. Besides, we will introduce fresh neuro-evolutionary approaches to fine-tune the model parameters. We will also share practical tips for designing good architectures, and to show results of RNN applications for modeling chaotic systems.

Shin-Jye Lee

National Chiao Tung University, Hsinchu, Taiwan

Artificial Intelligence and Smart Healthcare

Machine Learning is the core concept of Artificial Intelligence, and Artificial Intelligence is the practical application conducted by Machine Learning. As the advanced development of Machine Learning processes in an aggressive manner, Artificial Intelligence has been popularly applied to address the practical problems in the real world recently, such as Smart Healthcare, Smart Manufacturing, and Fintech. Meanwhile, Artificial Intelligence has a good progression in promoting the wide application of Smart Healthcare in these years, and it effectively provides decision support to enhance the reliability of clinical diagnosis. In addition, it also has a great potential in discovering the hidden symptoms of various diseases. At present, there are a lot of various AI techniques applied to address medical issues. Though they are not completely effective to all medical problems and most of them are still in the research status, the continuing development of Smart Healthcare is promising in the coming future.

Our smart, one day schedule is divided into six sessions.

Early morning starts at 9AM with first plenary session, and later conducts two morning sessions to reach the first break at 11AM.

Midday starts at after 11AM with the second plenary session, later performing two regular sessions to reach the one hour long coffee break at 1PM. Everyone is welcomed to rest, eat something and enjoy the view outside the window.

The evening starts as early as 2PM in consists of two most content-packed regular sessions filled with presentations. The last session ends at 4PM to reserve the last space for a closing ceremony.

  1. Opening ceremony

    - CET

  2. Shin-Jye Lee

    Artificial Intelligence and Smart Healthcare

    Chair: Prof. Michał Woźniak

    - CET

  3. Regular session 1

    Chair: Prof. Rafał Kozik

    - CET

  4. Regular session 2

    Chair: dr Jakub Klikowski

    - CET

  5. Break

    - CET

Check the timeslots for regular presentations.

    Sebastián García Galán

    - CET

    Regular session 1

    Color Tracking Application Using AI-based Docker Container Scheduling in Fog Computing
    Mariusz Flasiński

    - CET

    Regular session 2

    A novel approach of multi-string parsing for syntactic pattern recognition
    Janusz Bobulski

    - CET

    Regular session 1

    Air pollution monitoring and information distribution system
    Weronika A. Borek-Marciniec

    - CET

    Regular session 2

    Hollow n-grams vectorizer for Natural Language Processing problems
    Piotr Garbat

    - CET

    Regular session 1

    Deep Learning for pit detection in cherries
    Shin-Jye Lee

    - CET

    Regular session 2

    A Hybrid Long Short-Term Memory Network Based on Wind and Rain Sensitive and its Application to PM2.5 Prediction
    Piotr Garbat

    - CET

    Regular session 3

    Image Analysis System for Augmented Reality Games
    Shin-Jye Lee

    - CET

    Regular session 4

    Actinic Keratosis Prediction Based on Deep Learning Methods
    Adam Piorkowski

    - CET

    Regular session 3

    Coregistration of selected sequences in MRI imaging based on edge analysis of images difference
    Karol Wojtachnia

    - CET

    Regular session 4

    Incremental Extreme Learning Machine for Binary Data Stream Classification
    Marek Pawlicki

    - CET

    Regular session 3

    Interpreting Intrusions - The Role of Explainability in AI-based Intrusion Detection Systems
    Paweł Niedziółka

    - CET

    Regular session 4

    A non-deep approach to classifying movie genres based on multimodal data
    Mahmoud Ahmed Nasr

    - CET

    Regular session 5

    An Approach to CT Image Conversion Using Filtering Based on Quaternion Mathematic
    Marcin Kociołek

    - CET

    Regular session 6

    A New Assessment of Convolutional Neural Networks for Texture Directionality Detection
    Kamil Szostek

    - CET

    Regular session 5

    Real-time deformation of three-dimensional volumetric models using mesh models
    Weronika Jakubowska

    - CET

    Regular session 6

    Detection of conspiracy theories from tweets using NLI-based Zero Shot Text Classification models
    Rafal Kozik

    - CET

    Regular session 5

    Document Annotation Tool For News Content Analysis
    Patrick John Ramos

    - CET

    Regular session 6

    Knowledge Distillation with Relative Representations for Image Representation Learning
    Paweł Trajdos

    - CET

    Regular session 5

    Dynamic time wrapping technique applied to the user's intent recognition for myoelectric-based control of upper limb prosthesis
    Paweł Parczyk

    - CET

    Regular session 6

    Battery management system for Polish hybrid residential photovoltaic power plants
    Joanna Komorniczak

    - CET

    Regular session 5

    Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy
    Tobiasz Puślecki

    - CET

    Regular session 6

    Hyperparameters Optimization using GridSearchCV Method for TinyML models
    Ryan Caesar Ramos

    - CET

    Regular session 6

    Exploring Text-Guided Synthetic Distribution Shifts for Robust Image Classification
    Attachments

    Scope of the joined conferences

    The CORES’23 Conference aims to bring together researches and to provide an international forum for the sharing, exchange, presentation and discussion of original research results in both methodological issues and different application areas of pattern recognition.

    Model Application

    Classification and interpretation of text, video, voice

    Statistics

    Statistical, soft and structural methods of pattern recognition

    Image processing

    Image processing analysis and interpretation

    Preprocessing

    Features extraction and selection

    ML

    Machine learning

    Timeseries

    Trends and relations recognition and analysis

    Big Data

    Data and Web mining

    Knowledge Representation

    Machine-oriented knowledge representation and inference methods

    Decision Support

    Knowledge-based decision support systems

    Signal Processing

    Advanced signal processing methods

    Hardware

    Special hardware architecture