ArchiveAAIA Program
Current EEST (UTC+3) date and time:
| 09:00-10:30 EEST | Sunday 04.09.2022 on-site. Session 1. Chairs: Eftim Zdravevski, Marcin Szczuka JOIN HERE |
| 09:00-09:10 | Introductory Word by the Chair |
| 09:10-09:35 | Grzegorz Rypeść, Łukasz Lepak and Paweł Wawrzyński, Reinforcement Learning for on-line Sequence Transformation |
| 09:35-10:00 | Sašo Pavlič, Iztok Fister Jr. and Sašo Karakatič, NiaNet: A framework for constructing Autoencoder architectures using nature-inspired algorithms |
| 10:00-10:25 | Stefanie Penzel, Mathias Rudolph, Helko Borsdorf and Olfa Kanoun, Prototypical investigation of the use of fuzzy measurement data in a case study in water analysis |
| 14:15-16:00 EEST | Sunday 04.09.2022 on-site. Session 2. Chairs: Eftim Zdravevski, Marcin Szczuka JOIN HERE |
| 14:15-14:40 | Jens Dörpinghaus, Tobias Hübenthal and Jennifer Faber, A novel link prediction approach on clinical knowledge graphs utilizing graph structures |
| 14:40-15:05 | Jakub Pokrywka and Filip Graliński, Temporal Language Modeling for Short Text Document Classification with Transformers |
| 15:05-15:30 | Miloš Švaňa, Extending Word2Vec with Domain-Specific Labels |
| 15:30-15:55 | Karol Kaczmarek, Jakub Pokrywka and Filip Graliński, Using Transformer models for gender attribution in Polish |
| 09:00-11:00 EEST | Tuesday 06.09.2022 online. Session 3. Chair: Łukasz Sosnowski JOIN HERE |
| 09:00-09:20 | Joanna Henzel, Łukasz Wawrowski, Anna Kubina, Marek Sikora and Łukasz Wróbel, Demand forecasting in the fashion business — an example of customized nearest neighbour and linear mixed model approaches |
| 09:20-09:40 | Kacper Podbucki and Tomasz Marciniak, Aspects of autonomous drive control using NVIDIA Jetson Nano microcomputer |
| 09:40-10:00 | Horea-Bogdan Mureșan, An Automated Algorithm for Fruit Image Dataset Building |
| 10:00-10:20 | Md Rifatul Islam Rifat, Md Nur Amin, Mahmud Hasan Munna and Abdullah Al Imran, An End-to-end Machine Learning System for Mitigating Checkout Abandonment in E-Commerce |
| 10:20-10:40 | Cezary Maszczyk, Michal Kozielski and Marek Sikora, Rule-based approximation of black-box classifiers for tabular data to generate global and local explanations |
| 10:40-18:00 | Martin Víta, Detecting Uninformative Research Job Titles via Classifier Failures -- Zero Shot Approach |
| 16:00-18:00 EEST | Tuesday 06.09.2022 online. Session 4. Chair: Roberto Corizzo JOIN HERE |
| 16:00-16:20 | Ridewaan Hanslo, Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results |
| 16:20-16:40 | Piotr S. Maciąg, Wojciech Sitek, Łukasz Skonieczny and Henryk Rybiński, A Comparative Study of Short Text Classification with Spiking Neural Networks |
| 16:40-17:00 | Raúl Moreno, Alberto Fernandez-Isabel, Isaac Martín De Diego, Javier M. Moguerza, Carmen Lancho and Marina Cuesta Santa Teresa, Automatic detection of potential customers by opinion mining and intelligent agents |
| 17:00-17:20 | Witold Sosnowski, Anna Wróblewska and Piotr Gawrysiak, Applying SoftTriple Loss for Supervised Language Model Fine Tuning |
| 17:20-17:40 | Aleksandra Weiss, Marcin Młyński and Piotr Artiemjew, About Classifiers Quality Assessment: Balanced Accuracy Curve (BAC) as an alternative for ROC and PR Curve |
| 17:40-18:00 | Piotr Jezusek and Aleksandra Karpus, Improving Re-rankCCP with Rules Quality Measures |
| 11:30-13:30 EEST | Wednesday 07.09.2022 online. Session 5. Chair: Maciej Świechowski JOIN HERE |
| 11:30-11:50 | Hikaru Ikeda, Hiroyuki Nakagawa and Tatsuhiro Tsuchiya, Towards Automatic Facility Layout Design Using Reinforcement Learning |
| 11:50-12:10 | Guilherme Gusmão, Alberto Raposo, Renato de Oliveira and Carlos Barbosa, Treating Dataset Imbalance in Fetal Echocardiography Classification |
| 12:10-12:30 | Jan Jakubik, Searching For Loops And Sound Samples With Feature Learning |
| 12:30-12:50 | Radosław Cybulski and Piotr Artiemjew, Application of Random Sampling in the Concept-Dependent Granulation Method |
| 12:50-13:10 | Katarzyna Miś and Michał Baczyński, The Compositional Rule of Inference vs the Bandler-Kohout Subproduct: a Comparision of Two Standard Rules of Inference |
