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.
- 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.
Opening ceremony
- CET
Shin-Jye Lee
Artificial Intelligence and Smart Healthcare
Chair: Prof. Michał Woźniak
- CET
Regular session 1
Chair: Prof. Rafał Kozik
- CET
Regular session 2
Chair: dr Jakub Klikowski
- CET
Break
- CET
Early morning starts at 9AM with first plenary session, and later conducts two morning sessions to reach the first break at 11AM.
Opening ceremony
- CET
Shin-Jye Lee
Artificial Intelligence and Smart Healthcare
Chair: Prof. Michał Woźniak
- CET
Regular session 1
Chair: Prof. Rafał Kozik
- CET
Regular session 2
Chair: dr Jakub Klikowski
- CET
Break
- CET
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.
Sebastian Basterreich
Optimization of recurrent nets: recent theoretical advances and applications in chaotic systems modeling
Chair: Prof. Mariusz Flasiński
- CET
Regular session 3
Chair: dr Marek Pawlicki
- CET
Regular session 4
Chair: Prof. Paweł Ksieniewicz
- CET
Break
- CET
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.
Regular session 5
Chair: dr Paweł Trajdos
- CET
Regular session 6
Chair: Prof. Paweł Ksieniewicz
- CET
Closing ceremony
- 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
- cores_programme.pdf71kb
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