Dymitr Ruta - RankMe

78 papers A 1B 6C 21Misc 3Journal 17Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Scalable Hyperbox Clustering for Geospatial Data. FUZZ Dymitr Ruta, Ernesto Damiani, Bogdan Gabrys
2024	C	`conf`	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. FedCSIS Ming Liu, Ling Cen, Dymitr Ruta, Quang Hieu Vu
2024	—	`conf`	FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach. FedCSIS (Communication Papers) Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu
2024	J	`jnl`	Leonardo vindicated: Pythagorean trees for minimal reconstruction of the natural branching structures. CoRR Dymitr Ruta, Corrado Mio, Ernesto Damiani
2024	B	`conf`	Moves Based Prediction of Chess Puzzle Difficulty with Convolutional Neural Networks. IEEE Big Data Dymitr Ruta, Ming Liu, Ling Cen
2024	C	`conf`	Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume Optimization. IJCCI Himadri Sikhar Khargharia, Sid Shakya, Dymitr Ruta
2023	C	`conf`	Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time. FedCSIS Dymitr Ruta, Ming Liu, Ling Cen
2023	C	`conf`	Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization. IJCCI Himadri Sikhar Khargharia, Sid Shakya, Dymitr Ruta
2023	—	`conf`	Feature Engineering for Predicting Frags in Tactical Games. ICME Workshops Dymitr Ruta, Ming Liu, Ling Cen, Di Wang
2023	C	`conf`	Gradient boosting models for cybersecurity threat detection with aggregated time series features. FedCSIS Ming Liu, Ling Cen, Dymitr Ruta
2023	B	`conf`	Iterative Deep Learning for Muon Scattering Tomography. IEEE Big Data Dymitr Ruta, Robert Ruta
2023	C	`conf`	Strengthening Food Security: A Comparison of Food Import Forecasting Models. BDCAT Corrado Mio, Siddhartha Shakya, Himadri Sikhar Khargharia, Dymitr Ruta, Subey Dengur, Aysha Ali Saif Al Shamisi, Asma Alawneh
2022	J	`jnl`	Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi-Approach. IEEE Trans. Mob. Comput. Khouloud Eledlebi, Dymitr Ruta, Hanno Hildmann, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic
2022	C	`conf`	Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts. FedCSIS Dymitr Ruta, Ming Liu, Ling Cen, Quang Hieu Vu
2022	C	`conf`	Key Factors to Consider when Predicting the Costs of Forwarding Contracts. FedCSIS Quang Hieu Vu, Ling Cen, Dymitr Ruta, Ming Liu
2022	—	`conf`	Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images. ICAISC (2) Dymitr Ruta, Ling Cen, Andrzej Ruta, Quang Hieu Vu
2021	—	`conf`	A combination of general and specific models to predict victories in video games. IEEE BigData Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu
2021	—	`conf`	Automated feature engineering for prediction of victories in online computer games. IEEE BigData Dymitr Ruta, Ling Cen, Ming Liu, Quang Hieu Vu
2021	J	`jnl`	Hyperbox-based machine learning algorithms: a comprehensive survey. Soft Comput. Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys
2021	J	`jnl`	Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms. CoRR Zainab Husain, A. Al Zaabi, Hanno Hildmann, Fabrice Saffre, Dymitr Ruta, A. F. Isakovic
2020	J	`jnl`	Augmented Immersive Reality (AIR) for Improved Learning Performance: A Quantitative Evaluation. IEEE Trans. Learn. Technol. Ling Cen, Dymitr Ruta, Lamees Mahmoud Mohd Said Al Qassem, Jason W. P. Ng
2020	J	`jnl`	Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi Approach. CoRR Khouloud Eledlebi, Dymitr Ruta, Hanno Hildmann, Fabrice Saffre, Yousof Al-Hammadi, Abdel F. Isakovic
2020	C	`conf`	Deep Bi-Directional LSTM Networks for Device Workload Forecasting. FedCSIS Dymitr Ruta, Ling Cen, Quang Hieu Vu
2019	C	`conf`	Efficient Support Vector Regression with Reduced Training Data. FedCSIS Ling Cen, Quang Hieu Vu, Dymitr Ruta
2019	—	`conf`	Gradient boosting decision trees for cyber security threats detection based on network events logs. IEEE BigData Quang Hieu Vu, Dymitr Ruta, Ling Cen
2019	C	`conf`	Greedy Incremental Support Vector Regression. FedCSIS Dymitr Ruta, Ling Cen, Quang Hieu Vu
2019	J	`jnl`	Hyperbox based machine learning algorithms: A comprehensive survey. CoRR Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys
2018	—	`conf`	Autonomous deployment of mobile sensors network in an unknown indoor environment with obstacles. GECCO (Companion) Khouloud Eledlebi, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic
2018	C	`conf`	Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests. FIE Dymitr Ruta, Yousef Abosalem, Ling Cen
2018	—	`conf`	Inverted ant colony optimization for search and rescue in an unknown maze-like indoor environment. GECCO (Companion) Zainab Husain, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic
2018	C	`conf`	Predicting Win-rates of Hearthstone Decks: Models and Features that Won AAIA'2018 Data Mining Challenge. FedCSIS Quang Hieu Vu, Dymitr Ruta, Andrzej Ruta, Ling Cen
2018	C	`conf`	Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. FedCSIS Ling Cen, Andrzej Ruta, Dymitr Ruta, Quang Hieu Vu
2018	—	`conf`	Search in a Maze-Like Environment with Ant Algorithms: Complexity, Size and Energy Study. ANTS Conference Zainab Husain, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, Abdel F. Isakovic
2018	—	`conf`	Voronoi-Based Indoor Deployment of Mobile Sensors Network with Obstacles. FAS*W@SASO/ICAC Khouloud Eledlebi, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, Abdel F. Isakovic
2017	—	`conf`	A Map-Based Gender Prediction Model for Big E-Commerce Data. iThings/GreenCom/CPSCom/SmartData Ling Cen, Dymitr Ruta
2017	—	`conf`	A Model for Self-deployment of Autonomous Mobile Sensor Network in an Unknown Indoor Environment. ADHOCNETS Khouloud Eledlebi, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic
2017	—	`conf`	A Model for Wireless-Access Network Topology and a PSO-Based Approach for Its Optimization. WCO@FedCSIS Hanno Hildmann, Dina Y. Atia, Dymitr Ruta, S. S. Khrais, A. F. Isakovic
2017	C	`conf`	Algorithmic Daily Trading Based on Experts' Recommendations. ISMIS Andrzej Ruta, Dymitr Ruta, Ling Cen
2017	C	`conf`	An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification. FedCSIS Quang Hieu Vu, Dymitr Ruta, Ling Cen
2017	—	`conf`	Is Prüfer Code Encoding Always a Bad Idea? WCO@FedCSIS Hanno Hildmann, Dina Y. Atia, Dymitr Ruta, A. F. Isakovic
2017	J	`jnl`	People detection and articulated pose estimation framework for crowded scenes. Knowl. Based Syst. Sohailah Alyammahi, Harish Bhaskar, Dymitr Ruta, Mohammed E. Al-Mualla
2017	—	`conf`	Summarization-Guided Greedy Optimization of Machine Learning Model. MLDM Dymitr Ruta, Ling Cen, Ernesto Damiani
2017	C	`conf`	Using Recommendations for Trade Returns Prediction with Machine Learning. ISMIS Ling Cen, Dymitr Ruta, Andrzej Ruta
2017	C	`conf`	Using branching-property preserving Pruefer Code to encode solutions for Particle Swarm Optimization. FedCSIS Hanno Hildmann, Dymitr Ruta, Dina Y. Atia, A. F. Isakovic
2016	B	`conf`	Cost effective, scalable design of indoor distributed antenna systems based on particle swarm optimization and prufer strings. CEC Dina Y. Atia, Dymitr Ruta, Kin Fai Poon, Anis Ouali, A. F. Isakovic
2016	B	`conf`	Event identification and assertion from social media using auto-extendable knowledge base. IJCNN Ahmed Talal Suliman, Khaled Al Kaabi, Di Wang, Ahmad Al-Rubaie, Ahmed Al Dhanhani, Dymitr Ruta, John Davies, Sandra Stincic Clarke
2016	J	`jnl`	Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition. Int. J. Comput. Support. Collab. Learn. Ling Cen, Dymitr Ruta, Leigh Powell, Benjamin Hirsch, Jason W. P. Ng
2015	—	`conf`	Big education: Opportunities for Big Data analytics. DSP Ling Cen, Dymitr Ruta, Jason W. P. Ng
2015	—	`conf`	Fast summarization and anonymization of multivariate big time series. IEEE BigData Dymitr Ruta, Ling Cen, Ernesto Damiani
2015	C	`conf`	Interaction driven composition of student groups for optimal groupwork learning performance. FIE Ling Cen, Dymitr Ruta, Leigh Powell, Jason W. P. Ng
2015	—	`conf`	Self-Organized Predictor of Methane Concentration Warnings in Coal Mines. RSFDGrC Dymitr Ruta, Ling Cen
2014	—	`conf`	Automated Trading with Machine Learning on Big Data. BigData Congress Dymitr Ruta
2014	C	`conf`	Robust Method of Sparse Feature Selection for Multi-Label Classification with Naive Bayes. FedCSIS Dymitr Ruta
2014	B	`conf`	Smart Learning for the Next Generation Education Environment. Intelligent Environments Jason W. P. Ng, Dymitr Ruta, Ahmad Al-Rubaie, Di Wang, Leigh Powell, Benjamin Hirsch, Ming Liu, Ling Cen, Ahmed Al Dhanhani
2011	J	`jnl`	A Generic Multilevel Architecture for Time Series Prediction. IEEE Trans. Knowl. Data Eng. Dymitr Ruta, Bogdan Gabrys, Christiane Lemke
2009	J	`jnl`	A framework for machine learning based on dynamic physical fields. Nat. Comput. Dymitr Ruta, Bogdan Gabrys
2009	Misc	`conf`	Network-Aware Customer Value in Telecommunication Social Networks. IC-AI Dymitr Ruta, Przemyslaw Kazienko, Piotr Bródka
2009	J	`jnl`	The Impact of Customer Churn on Social Value Dynamics. Int. J. Virtual Communities Soc. Netw. Przemyslaw Kazienko, Dymitr Ruta
2009	—	`conf`	The Influence of Customer Churn and Acquisition on Value Dynamics of Social Neighbourhoods. WSKS (1) Przemyslaw Kazienko, Piotr Bródka, Dymitr Ruta
2008	—	`conf`	A Generic Methodology for Classification of Complex Data Structures in Automotive Industry. KES (1) Dymitr Ruta
2008	A	`conf`	Mixture of Gaussians Model for Robust Pedestrian Images Detection. ECAI Dymitr Ruta
2007	J	`jnl`	Computer assisted customer churn management: State-of-the-art and future trends. Comput. Oper. Res. John Hadden, Ashutosh Tiwari, Rajkumar Roy, Dymitr Ruta
2007	B	`conf`	Neural Network Ensembles for Time Series Prediction. IJCNN Dymitr Ruta, Bogdan Gabrys
2007	Misc	`conf`	Particle Swarm Optimisation of Multiple Classifier Systems. IWANN Martin Macas, Bogdan Gabrys, Dymitr Ruta, Lenka Lhotská
2007	—	`ch.`	Towards Automated Share Investment System. Perception-based Data Mining and Decision Making in Economics and Finance Dymitr Ruta
2006	Misc	`conf`	Dynamic Data Condensation for Classification. ICAISC Dymitr Ruta
2006	J	`jnl`	Genetic algorithms in classifier fusion. Appl. Soft Comput. Bogdan Gabrys, Dymitr Ruta
2006	C	`conf`	K Nearest Sequence Method and Its Application to Churn Prediction. IDEAL Dymitr Ruta, Detlef D. Nauck, Ben Azvine
2006	—	`conf`	Towards a Framework for Change Detection in Data Sets. SGAI Conf. Mirko Böttcher, Detlef D. Nauck, Dymitr Ruta, Martin Spott
2005	J	`jnl`	Classifier selection for majority voting. Inf. Fusion Dymitr Ruta, Bogdan Gabrys
2005	—	`conf`	Multidimensional Selection Model for Classification. ICEIS (2) Dymitr Ruta
2005	—	`conf`	Visualisation of the Classifier Fusion Models. Artificial Intelligence and Applications Dymitr Ruta
2003	—	`—`	Classifier diversity in combined pattern recognition systems. Dymitr Ruta
2003	J	`jnl`	Physical field models for pattern classification. Soft Comput. Dymitr Ruta, Bogdan Gabrys
2002	J	`jnl`	A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems. Pattern Anal. Appl. Dymitr Ruta, Bogdan Gabrys
2002	—	`conf`	New Measure of Classifier Dependency in Multiple Classifier Systems. Multiple Classifier Systems Dymitr Ruta, Bogdan Gabrys
2002	—	`conf`	Static Field Approach for Pattern Classification. Soft-Ware Dymitr Ruta, Bogdan Gabrys
2001	—	`conf`	Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting. Multiple Classifier Systems Dymitr Ruta, Bogdan Gabrys