Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting. - Dymitr Ruta; Bogdan Gabrys (Multiple Classifier Systems, 2001)

New Measure of Classifier Dependency in Multiple Classifier Systems. - Dymitr Ruta; Bogdan Gabrys (Multiple Classifier Systems, 2002)

Static Field Approach for Pattern Classification. - Dymitr Ruta; Bogdan Gabrys (Soft-Ware, 2002)

A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems. - Dymitr Ruta; Bogdan Gabrys (Pattern Anal. Appl., 2002)

Physical field models for pattern classification. - Dymitr Ruta; Bogdan Gabrys (Soft Comput., 2003)

Classifier diversity in combined pattern recognition systems. - Dymitr Ruta (2003)

Visualisation of the Classifier Fusion Models. - Dymitr Ruta (Artificial Intelligence and Applications, 2005)

Multidimensional Selection Model for Classification. - Dymitr Ruta (ICEIS (2), 2005)

Classifier selection for majority voting. - Dymitr Ruta; Bogdan Gabrys (Inf. Fusion, 2005)

Dynamic Data Condensation for Classification. - Dymitr Ruta (ICAISC, 2006)

K Nearest Sequence Method and Its Application to Churn Prediction. - Dymitr Ruta; Detlef D. Nauck; Ben Azvine (IDEAL, 2006)

Towards a Framework for Change Detection in Data Sets. - Mirko Böttcher; Detlef D. Nauck; Dymitr Ruta; Martin Spott (SGAI Conf., 2006)

Genetic algorithms in classifier fusion. - Bogdan Gabrys; Dymitr Ruta (Appl. Soft Comput., 2006)

Neural Network Ensembles for Time Series Prediction. - Dymitr Ruta; Bogdan Gabrys (IJCNN, 2007)

Particle Swarm Optimisation of Multiple Classifier Systems. - Martin Macas; Bogdan Gabrys; Dymitr Ruta; Lenka Lhotská (IWANN, 2007)

Computer assisted customer churn management: State-of-the-art and future trends. - John Hadden; Ashutosh Tiwari 001; Rajkumar Roy; Dymitr Ruta (Comput. Oper. Res., 2007)

Towards Automated Share Investment System. - Dymitr Ruta (Perception-based Data Mining and Decision Making in Economics and Finance, 2007)

Mixture of Gaussians Model for Robust Pedestrian Images Detection. - Dymitr Ruta (ECAI, 2008)

A Generic Methodology for Classification of Complex Data Structures in Automotive Industry. - Dymitr Ruta (KES (1), 2008)

Network-Aware Customer Value in Telecommunication Social Networks. - Dymitr Ruta; Przemyslaw Kazienko; Piotr Bródka (IC-AI, 2009)

The Influence of Customer Churn and Acquisition on Value Dynamics of Social Neighbourhoods. - Przemyslaw Kazienko; Piotr Bródka; Dymitr Ruta (WSKS (1), 2009)

The Impact of Customer Churn on Social Value Dynamics. - Przemyslaw Kazienko; Dymitr Ruta (Int. J. Virtual Communities Soc. Netw., 2009)

A framework for machine learning based on dynamic physical fields. - Dymitr Ruta; Bogdan Gabrys (Nat. Comput., 2009)

A Generic Multilevel Architecture for Time Series Prediction. - Dymitr Ruta; Bogdan Gabrys; Christiane Lemke (IEEE Trans. Knowl. Data Eng., 2011)

Automated Trading with Machine Learning on Big Data. - Dymitr Ruta (BigData Congress, 2014)

Robust Method of Sparse Feature Selection for Multi-Label Classification with Naive Bayes. - Dymitr Ruta (FedCSIS, 2014)

Smart Learning for the Next Generation Education Environment. - Jason W. P. Ng; Dymitr Ruta; Ahmad Al-Rubaie; Di Wang 001; Leigh Powell; Benjamin Hirsch; Ming Liu; Ling Cen; Ahmed Al Dhanhani (Intelligent Environments, 2014)

Fast summarization and anonymization of multivariate big time series. - Dymitr Ruta; Ling Cen; Ernesto Damiani (IEEE BigData, 2015)

Interaction driven composition of student groups for optimal groupwork learning performance. - Ling Cen; Dymitr Ruta; Leigh Powell; Jason W. P. Ng (FIE, 2015)

Big education: Opportunities for Big Data analytics. - Ling Cen; Dymitr Ruta; Jason W. P. Ng (DSP, 2015)

Self-Organized Predictor of Methane Concentration Warnings in Coal Mines. - Dymitr Ruta; Ling Cen (RSFDGrC, 2015)

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 (CEC, 2016)

Event identification and assertion from social media using auto-extendable knowledge base. - Ahmed Talal Suliman; Khaled Al Kaabi; Di Wang 001; Ahmad Al-Rubaie; Ahmed Al Dhanhani; Dymitr Ruta; John Davies; Sandra Stincic Clarke (IJCNN, 2016)

Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition. - Ling Cen; Dymitr Ruta; Leigh Powell; Benjamin Hirsch; Jason W. P. Ng (Int. J. Comput. Support. Collab. Learn., 2016)

A Model for Self-deployment of Autonomous Mobile Sensor Network in an Unknown Indoor Environment. - Khouloud Eledlebi; Dymitr Ruta; Fabrice Saffre; Yousof Al-Hammadi; A. F. Isakovic (ADHOCNETS, 2017)

Is Prüfer Code Encoding Always a Bad Idea? - Hanno Hildmann; Dina Y. Atia; Dymitr Ruta; A. F. Isakovic (WCO@FedCSIS, 2017)

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 (WCO@FedCSIS, 2017)

Using branching-property preserving Pruefer Code to encode solutions for Particle Swarm Optimization. - Hanno Hildmann; Dymitr Ruta; Dina Y. Atia; A. F. Isakovic (FedCSIS, 2017)

An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification. - Quang Hieu Vu; Dymitr Ruta; Ling Cen (FedCSIS, 2017)

Using Recommendations for Trade Returns Prediction with Machine Learning. - Ling Cen; Dymitr Ruta; Andrzej Ruta (ISMIS, 2017)

Algorithmic Daily Trading Based on Experts' Recommendations. - Andrzej Ruta; Dymitr Ruta; Ling Cen (ISMIS, 2017)

A Map-Based Gender Prediction Model for Big E-Commerce Data. - Ling Cen; Dymitr Ruta (iThings/GreenCom/CPSCom/SmartData, 2017)

Summarization-Guided Greedy Optimization of Machine Learning Model. - Dymitr Ruta; Ling Cen; Ernesto Damiani (MLDM, 2017)

People detection and articulated pose estimation framework for crowded scenes. - Sohailah Alyammahi; Harish Bhaskar; Dymitr Ruta; Mohammed E. Al-Mualla (Knowl. Based Syst., 2017)

Search in a Maze-Like Environment with Ant Algorithms: Complexity, Size and Energy Study. - Zainab Husain; Dymitr Ruta; Fabrice Saffre; Yousof Al-Hammadi; Abdel F. Isakovic (ANTS Conference, 2018)

Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. - Ling Cen; Andrzej Ruta; Dymitr Ruta; Quang Hieu Vu (FedCSIS, 2018)

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 (FedCSIS, 2018)

Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests. - Dymitr Ruta; Yousef Abosalem; Ling Cen (FIE, 2018)

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 (GECCO (Companion), 2018)

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 (GECCO (Companion), 2018)

Voronoi-Based Indoor Deployment of Mobile Sensors Network with Obstacles. - Khouloud Eledlebi; Dymitr Ruta; Fabrice Saffre; Yousof Al-Hammadi; Abdel F. Isakovic (FAS*W@SASO/ICAC, 2018)

Gradient boosting decision trees for cyber security threats detection based on network events logs. - Quang Hieu Vu; Dymitr Ruta; Ling Cen (IEEE BigData, 2019)

Efficient Support Vector Regression with Reduced Training Data. - Ling Cen; Quang Hieu Vu; Dymitr Ruta (FedCSIS, 2019)

Greedy Incremental Support Vector Regression. - Dymitr Ruta; Ling Cen; Quang Hieu Vu (FedCSIS, 2019)

Deep Bi-Directional LSTM Networks for Device Workload Forecasting. - Dymitr Ruta; Ling Cen; Quang Hieu Vu (FedCSIS, 2020)

Augmented Immersive Reality (AIR) for Improved Learning Performance: A Quantitative Evaluation. - Ling Cen; Dymitr Ruta; Lamees Mahmoud Mohd Said Al Qassem; Jason W. P. Ng (IEEE Trans. Learn. Technol., 2020)

Automated feature engineering for prediction of victories in online computer games. - Dymitr Ruta; Ling Cen; Ming Liu; Quang Hieu Vu (IEEE BigData, 2021)

A combination of general and specific models to predict victories in video games. - Quang Hieu Vu; Dymitr Ruta; Ling Cen; Ming Liu (IEEE BigData, 2021)

Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms. - Zainab Husain; A. Al Zaabi; Hanno Hildmann; Fabrice Saffre; Dymitr Ruta; A. F. Isakovic (CoRR, 2021)

Hyperbox-based machine learning algorithms: a comprehensive survey. - Thanh Tung Khuat; Dymitr Ruta; Bogdan Gabrys (Soft Comput., 2021)

Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts. - Dymitr Ruta; Ming Liu; Ling Cen; Quang Hieu Vu (FedCSIS, 2022)

Key Factors to Consider when Predicting the Costs of Forwarding Contracts. - Quang Hieu Vu; Ling Cen; Dymitr Ruta; Ming Liu (FedCSIS, 2022)

Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images. - Dymitr Ruta; Ling Cen; Andrzej Ruta; Quang Hieu Vu (ICAISC (2), 2022)

Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi-Approach. - Khouloud Eledlebi; Dymitr Ruta; Hanno Hildmann; Fabrice Saffre; Yousof Al-Hammadi; A. F. Isakovic (IEEE Trans. Mob. Comput., 2022)

Strengthening Food Security: A Comparison of Food Import Forecasting Models. - Corrado Mio; Siddhartha Shakya; Himadri Sikhar Khargharia; Dymitr Ruta; Subey Dengur; Aysha Ali Saif Al Shamisi; Asma Alawneh (BDCAT, 2023)

Iterative Deep Learning for Muon Scattering Tomography. - Dymitr Ruta; Robert Ruta (IEEE Big Data, 2023)

Gradient boosting models for cybersecurity threat detection with aggregated time series features. - Ming Liu; Ling Cen; Dymitr Ruta (FedCSIS, 2023)

Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time. - Dymitr Ruta; Ming Liu; Ling Cen (FedCSIS, 2023)

Feature Engineering for Predicting Frags in Tactical Games. - Dymitr Ruta; Ming Liu; Ling Cen; Di Wang 001 (ICME Workshops, 2023)

Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization. - Himadri Sikhar Khargharia; Sid Shakya; Dymitr Ruta (IJCCI, 2023)

Moves Based Prediction of Chess Puzzle Difficulty with Convolutional Neural Networks. - Dymitr Ruta; Ming Liu; Ling Cen (IEEE Big Data, 2024)

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 (FedCSIS, 2024)

FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach. - Quang Hieu Vu; Dymitr Ruta; Ling Cen; Ming Liu (FedCSIS (Communication Papers), 2024)

Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume Optimization. - Himadri Sikhar Khargharia; Sid Shakya; Dymitr Ruta (IJCCI, 2024)

Leonardo vindicated: Pythagorean trees for minimal reconstruction of the natural branching structures. - Dymitr Ruta; Corrado Mio; Ernesto Damiani (CoRR, 2024)