| 2024 | FedCSIS | Exploring Stability and Performance of hybrid Gradient Boosting Classification and Regression Models in Sectors Stock Trend Prediction: A Tale of Preliminary Success and Final Challenge. | Ming Liu, Ling Cen, Dymitr Ruta, Quang Hieu Vu |
| 2024 | FedCSIS | FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach. | Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu |
| 2024 | IJCCI | Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume Optimization. | Himadri Sikhar Khargharia, Sid Shakya, Dymitr Ruta |
| 2023 | FedCSIS | Gradient boosting models for cybersecurity threat detection with aggregated time series features. | Ming Liu, Ling Cen, Dymitr Ruta |
| 2023 | FedCSIS | Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time. | Dymitr Ruta, Ming Liu, Ling Cen |
| 2023 | IJCCI | Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization. | Himadri Sikhar Khargharia, Sid Shakya, Dymitr Ruta |
| 2022 | FedCSIS | Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts. | Dymitr Ruta, Ming Liu, Ling Cen, Quang Hieu Vu |
| 2022 | FedCSIS | Key Factors to Consider when Predicting the Costs of Forwarding Contracts. | Quang Hieu Vu, Ling Cen, Dymitr Ruta, Ming Liu |
| 2022 | ICAISC | Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images. | Dymitr Ruta, Ling Cen, Andrzej Ruta, Quang Hieu Vu |
| 2020 | FedCSIS | Deep Bi-Directional LSTM Networks for Device Workload Forecasting. | Dymitr Ruta, Ling Cen, Quang Hieu Vu |
| 2019 | FedCSIS | Efficient Support Vector Regression with Reduced Training Data. | Ling Cen, Quang Hieu Vu, Dymitr Ruta |
| 2019 | FedCSIS | Greedy Incremental Support Vector Regression. | Dymitr Ruta, Ling Cen, Quang Hieu Vu |
| 2018 | FedCSIS | Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. | Ling Cen, Andrzej Ruta, Dymitr Ruta, Quang Hieu Vu |
| 2018 | FedCSIS | Predicting Win-rates of Hearthstone Decks: Models and Features that Won AAIA'2018 Data Mining Challenge. | Quang Hieu Vu, Dymitr Ruta, Andrzej Ruta, Ling Cen |
| 2018 | FIE | Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests. | Dymitr Ruta, Yousef Abosalem, Ling Cen |
| 2018 | GECCO | Autonomous deployment of mobile sensors network in an unknown indoor environment with obstacles. | Khouloud Eledlebi, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic |
| 2018 | GECCO | Inverted ant colony optimization for search and rescue in an unknown maze-like indoor environment. | Zainab Husain, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic |
| 2017 | FedCSIS | Is Prfer Code Encoding Always a Bad Idea? | Hanno Hildmann, Dina Y. Atia, Dymitr Ruta, A. F. Isakovic |
| 2017 | FedCSIS | A Model for Wireless-Access Network Topology and a PSO-Based Approach for Its Optimization. | Hanno Hildmann, Dina Y. Atia, Dymitr Ruta, S. S. Khrais, A. F. Isakovic |
| 2017 | FedCSIS | Using branching-property preserving Pruefer Code to encode solutions for Particle Swarm Optimization. | Hanno Hildmann, Dymitr Ruta, Dina Y. Atia, A. F. Isakovic |
| 2017 | FedCSIS | An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification. | Quang Hieu Vu, Dymitr Ruta, Ling Cen |
| 2017 | ISMIS | Using Recommendations for Trade Returns Prediction with Machine Learning. | Ling Cen, Dymitr Ruta, Andrzej Ruta |
| 2017 | ISMIS | Algorithmic Daily Trading Based on Experts' Recommendations. | Andrzej Ruta, Dymitr Ruta, Ling Cen |
| 2016 | CEC | Cost effective, scalable design of indoor distributed antenna systems based on particle swarm optimization and prufer strings. | Dina Y. Atia, Dymitr Ruta, Kin Fai Poon, Anis Ouali, A. F. Isakovic |
| 2016 | IJCNN | Event identification and assertion from social media using auto-extendable knowledge base. | Ahmed Talal Suliman, Khaled Al Kaabi, Di Wang, Ahmad Al-Rubaie, Ahmed Al Dhanhani, Dymitr Ruta, John Davies, Sandra Stincic Clarke |
| 2015 | FIE | Interaction driven composition of student groups for optimal groupwork learning performance. | Ling Cen, Dymitr Ruta, Leigh Powell, Jason W. P. Ng |
| 2014 | BigData | Automated Trading with Machine Learning on Big Data. | Dymitr Ruta |
| 2014 | FedCSIS | Robust Method of Sparse Feature Selection for Multi-Label Classification with Naive Bayes. | Dymitr Ruta |
| 2008 | ECAI | Mixture of Gaussians Model for Robust Pedestrian Images Detection. | Dymitr Ruta |
| 2008 | KES | A Generic Methodology for Classification of Complex Data Structures in Automotive Industry. | Dymitr Ruta |
| 2007 | IJCNN | Neural Network Ensembles for Time Series Prediction. | Dymitr Ruta, Bogdan Gabrys |
| 2007 | IWANN | Particle Swarm Optimisation of Multiple Classifier Systems. | Martin Macas, Bogdan Gabrys, Dymitr Ruta, Lenka Lhotsk |
| 2006 | ICAISC | Dynamic Data Condensation for Classification. | Dymitr Ruta |
| 2006 | IDEAL | K Nearest Sequence Method and Its Application to Churn Prediction. | Dymitr Ruta, Detlef D. Nauck, Ben Azvine |
| 2006 | SGAI | Towards a Framework for Change Detection in Data Sets. | Mirko Bttcher, Detlef D. Nauck, Dymitr Ruta, Martin Spott |