Dymitr Ruta

According to our database, Dymitr Ruta authored at least 73 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume Optimization.

Himadri Sikhar Khargharia, Sid Shakya, Dymitr Ruta

Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach.

Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu

Proceedings of the Communication Papers of the 19th Conference on Computer Science and Intelligence Systems, 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

Proceedings of the 19th Conference on Computer Science and Intelligence Systems, 2024

2023

Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization.

Himadri Sikhar Khargharia, Sid Shakya, Dymitr Ruta

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Feature Engineering for Predicting Frags in Tactical Games.

Dymitr Ruta, Ming Liu, Ling Cen, Di Wang

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time.

Dymitr Ruta, Ming Liu, Ling Cen

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Gradient boosting models for cybersecurity threat detection with aggregated time series features.

Ming Liu, Ling Cen, Dymitr Ruta

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Iterative Deep Learning for Muon Scattering Tomography.

Dymitr Ruta, Robert Ruta

Proceedings of the IEEE International Conference on Big Data, 2023

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

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

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

Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images.

Dymitr Ruta, Ling Cen, Andrzej Ruta, Quang Hieu Vu

Proceedings of the Artificial Intelligence and Soft Computing, 2022

Key Factors to Consider when Predicting the Costs of Forwarding Contracts.

Quang Hieu Vu, Ling Cen, Dymitr Ruta, Ming Liu

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts.

Dymitr Ruta, Ming Liu, Ling Cen, Quang Hieu Vu

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021

Hyperbox-based machine learning algorithms: a comprehensive survey.

Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys

Soft Comput., 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

A combination of general and specific models to predict victories in video games.

Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Automated feature engineering for prediction of victories in online computer games.

Dymitr Ruta, Ling Cen, Ming Liu, Quang Hieu Vu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

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

Deep Bi-Directional LSTM Networks for Device Workload Forecasting.

Dymitr Ruta, Ling Cen, Quang Hieu Vu

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

2019

Greedy Incremental Support Vector Regression.

Dymitr Ruta, Ling Cen, Quang Hieu Vu

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

Efficient Support Vector Regression with Reduced Training Data.

Ling Cen, Quang Hieu Vu, Dymitr Ruta

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

Gradient boosting decision trees for cyber security threats detection based on network events logs.

Quang Hieu Vu, Dymitr Ruta, Ling Cen

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Voronoi-Based Indoor Deployment of Mobile Sensors Network with Obstacles.

Khouloud Eledlebi, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, Abdel F. Isakovic

Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests.

Dymitr Ruta, Yousef Abosalem, Ling Cen

Proceedings of the IEEE Frontiers in Education Conference, 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

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

Regression Networks for Robust Win-rates Predictions of AI Gaming Bots.

Ling Cen, Andrzej Ruta, Dymitr Ruta, Quang Hieu Vu

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

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

Proceedings of the Swarm Intelligence - 11th International Conference, 2018

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

Summarization-Guided Greedy Optimization of Machine Learning Model.

Dymitr Ruta, Ling Cen, Ernesto Damiani

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

A Map-Based Gender Prediction Model for Big E-Commerce Data.

Ling Cen, Dymitr Ruta

Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

Algorithmic Daily Trading Based on Experts' Recommendations.

Andrzej Ruta, Dymitr Ruta, Ling Cen

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Using Recommendations for Trade Returns Prediction with Machine Learning.

Ling Cen, Dymitr Ruta, Andrzej Ruta

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification.

Quang Hieu Vu, Dymitr Ruta, Ling Cen

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

Using branching-property preserving Pruefer Code to encode solutions for Particle Swarm Optimization.

Hanno Hildmann, Dymitr Ruta, Dina Y. Atia, A. F. Isakovic

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 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

Proceedings of the Recent Advances in Computational Optimization, 2017

Is Prüfer Code Encoding Always a Bad Idea?

Hanno Hildmann, Dina Y. Atia, Dymitr Ruta, A. F. Isakovic

Proceedings of the Recent Advances in Computational Optimization, 2017

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

Proceedings of the Ad Hoc Networks, 2017

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

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

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Self-Organized Predictor of Methane Concentration Warnings in Coal Mines.

Dymitr Ruta, Ling Cen

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Big education: Opportunities for Big Data analytics.

Ling Cen, Dymitr Ruta, Jason W. P. Ng

Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Interaction driven composition of student groups for optimal groupwork learning performance.

Ling Cen, Dymitr Ruta, Leigh Powell, Jason W. P. Ng

Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015

Fast summarization and anonymization of multivariate big time series.

Dymitr Ruta, Ling Cen, Ernesto Damiani

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Smart Learning for the Next Generation Education Environment.

Jason W. P. Ng, Dymitr Ruta, Ahmad Al-Rubaie, Di Wang, Leigh Powell, Benjamin Hirsch, Ming Liu, Ling Cen, Ahmed Al Dhanhani

Proceedings of the 2014 International Conference on Intelligent Environments, Shanghai, China, June 30, 2014

Robust Method of Sparse Feature Selection for Multi-Label Classification with Naive Bayes.

Dymitr Ruta

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

Automated Trading with Machine Learning on Big Data.

Dymitr Ruta

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2011

A Generic Multilevel Architecture for Time Series Prediction.

Dymitr Ruta, Bogdan Gabrys, Christiane Lemke

IEEE Trans. Knowl. Data Eng., 2011

2009

A framework for machine learning based on dynamic physical fields.

Dymitr Ruta, Bogdan Gabrys

Nat. Comput., 2009

The Impact of Customer Churn on Social Value Dynamics.

Przemyslaw Kazienko, Dymitr Ruta

Int. J. Virtual Communities Soc. Netw., 2009

The Influence of Customer Churn and Acquisition on Value Dynamics of Social Neighbourhoods.

Przemyslaw Kazienko, Piotr Bródka, Dymitr Ruta

Proceedings of the Visioning and Engineering the Knowledge Society. A Web Science Perspective, 2009

Network-Aware Customer Value in Telecommunication Social Networks.

Dymitr Ruta, Przemyslaw Kazienko, Piotr Bródka

Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

2008

A Generic Methodology for Classification of Complex Data Structures in Automotive Industry.

Dymitr Ruta

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Mixture of Gaussians Model for Robust Pedestrian Images Detection.

Dymitr Ruta

Proceedings of the ECAI 2008, 2008

2007

Towards Automated Share Investment System.

Dymitr Ruta

Proceedings of the Perception-based Data Mining and Decision Making in Economics and Finance, 2007

Computer assisted customer churn management: State-of-the-art and future trends.

John Hadden, Ashutosh Tiwari, Rajkumar Roy, Dymitr Ruta

Comput. Oper. Res., 2007

Particle Swarm Optimisation of Multiple Classifier Systems.

Martin Macas, Bogdan Gabrys, Dymitr Ruta, Lenka Lhotská

Proceedings of the Computational and Ambient Intelligence, 2007

Neural Network Ensembles for Time Series Prediction.

Dymitr Ruta, Bogdan Gabrys

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Genetic algorithms in classifier fusion.

Bogdan Gabrys, Dymitr Ruta

Appl. Soft Comput., 2006

Towards a Framework for Change Detection in Data Sets.

Mirko Böttcher, Detlef D. Nauck, Dymitr Ruta, Martin Spott

Proceedings of the Research and Development in Intelligent Systems XXIII, 2006

K Nearest Sequence Method and Its Application to Churn Prediction.

Dymitr Ruta, Detlef D. Nauck, Ben Azvine

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Dynamic Data Condensation for Classification.

Dymitr Ruta

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005

Classifier selection for majority voting.

Dymitr Ruta, Bogdan Gabrys

Inf. Fusion, 2005

Multidimensional Selection Model for Classification.

Dymitr Ruta

Proceedings of the ICEIS 2005, 2005

Visualisation of the Classifier Fusion Models.

Dymitr Ruta

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2003

Classifier diversity in combined pattern recognition systems.

Dymitr Ruta

PhD thesis, 2003

Physical field models for pattern classification.

Dymitr Ruta, Bogdan Gabrys

Soft Comput., 2003

2002

A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems.

Dymitr Ruta, Bogdan Gabrys

Pattern Anal. Appl., 2002

Static Field Approach for Pattern Classification.

Dymitr Ruta, Bogdan Gabrys

Proceedings of the Soft-Ware 2002: Computing in an Imperfect World, 2002

New Measure of Classifier Dependency in Multiple Classifier Systems.

Dymitr Ruta, Bogdan Gabrys

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

2001

Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting.

Dymitr Ruta, Bogdan Gabrys

Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001