AAIA program

All times are in the Central European Summer Time (CEST, UTC+2) timezone.

September 19 (Tuesday), 09:00–11:00, room 102

09:00–09:20 Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei, Ali Balador, Ehsan Nowroozi, Francesco Flammini and Mauro Conti Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition
09:20–09:40 Markus Bauer and Christoph Augenstein Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.
09:40–10:00 Piotr Biczyk and Łukasz Wawrowski Towards automated detection of adversarial attacks on tabular data
10:00–10:40 Volodymyr Saviak Hewlett Packard Enterprise tools for the AI/ML development and training

September 19 (Tuesday), 14:30–16:30, room 102

14:30–14:50 Konrad Gmyrek, Michał Antkiewicz and Pawel Myszkowski Genetic Algorithm for Planning and Scheduling Problem -- StarCraft II Build Order case study
14:50–15:10 Arkadiusz Wojna, Katarzyna Jachim, Łukasz Kosson, Łukasz Kowalski, Damian Mański, Michał Mański, Krzysztof Mroczek, Krzysztof Niemkiewicz, Robert Piszczatowski, Maciej Próchniak, Tomasz Romańczuk, Piotr Skibiński, Marcin Staszczyk, Michał Szostakiewicz, Leszek Tur, Damian Wójcik and Maciej Zuchniak QMAK: Interacting with Machine Learning Models and Visualizing Classification Process
15:10–15:30 Andriy Luntovskyy Interconnecting Advanced Networks with AI Applications
15:30–15:50 Bartlomiej Kubica Developing an interval method for training denoising autoencoders by bounding the noise
15:50–16:10 Jakub Pokrywka, Krzysztof Jassem, Piotr Wierzchoń, Piotr Badylak and Grzegorz Kurzyp Reranking for a Polish Medical Search Engine

September 19 (Tuesday), 17:00–18:30, room 102

17:00–17:20 Tijana Markovic, Alireza Dehlaghi-Ghadim, Miguel Leon, Ali Balador and Sasikumar Punnekkat Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems
17:20–17:40 Przemysław Głomb, Michal Cholewa, Pawel Foszner and Jakub Bularz Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification
17:40–18:00 Dragana Nikolova, Petre Lameski, Ivan Miguel Pires and Eftim Zdravevski Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data
18:00–18:20 Mateusz Płatek and Jan Mielniczuk Enhancing naive classifier for positive unlabeled data based on logistic regression approach


September 20 (Wednesday), 11:30–13:30, room 102 / online

Meeting link: join the session HERE

11:30–11:50 Alexander Zender, Bernhard G. Humm and Tim Pachmann Improving the Efficiency of Meta AutoML via Rule-based Training Strategies
11:50-12:10 Lukasz Szymula and Krzysztof Dyczkowski Evaluation of selected Cardinality Pattern functions and linguistic variables applied to authors dominant discipline classification
12:10–12:30 Taoufiq El Moussaoui and Loqman Chakir BERT-CLSTM model for the classification of Moroccan commercial courts verdicts
12:30–12:50 Sebastian Quinchia-Lobo, Daniela Salazar-Gonzalez, Daniel Salas-Álvarez, Rubén Baena-Navarro and Isaac Caicedo-Castro Analysis of the Public Health Service in Bogotá, Colombia: a Study Based on Customer's Complains and Using Unsupervised Learning Algorithms
12:50–13:10 Ming Liu, Ling Cen and Dymitr Ruta Gradient boosting models for cybersecurity threat detection with aggregated time series features
13:10–13:30 Christoph Schwarzweller Developing Field Theory in Mizar

See the rest of the conference program.


Important dates

  • Technical sessions proposal submission: November 14, 2022
  • Paper submission (no extensions): May 23, 2023
  • Position paper submission: June 7, 2023
  • Author notification: July 11, 2023
  • Final paper submission, registration: July 31, 2023
  • Discounted payment: August 18, 2023
  • Conference date: September 17⁠–⁠20, 2023

FedCSIS 2023 is organized by

Under patronage of

Warsaw University of Technology

Prof. Krzysztof Zaremba
Rector of Warsaw University of Technology