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Dymitr Ruta
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2020 – today
- 2024
- [c58]Dymitr Ruta, Ming Liu, Ling Cen:
Moves Based Prediction of Chess Puzzle Difficulty with Convolutional Neural Networks. IEEE Big Data 2024: 8390-8395 - [c57]Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu:
FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach. FedCSIS (Communication Papers) 2024: 185-190 - [c56]Ming Liu, Ling Cen, Dymitr Ruta, Quang Hieu Vu:
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 2024: 761-766 - [c55]Himadri Sikhar Khargharia, Sid Shakya, Dymitr Ruta:
Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume Optimization. IJCCI 2024: 338-345 - [i4]Dymitr Ruta, Corrado Mio, Ernesto Damiani:
Leonardo vindicated: Pythagorean trees for minimal reconstruction of the natural branching structures. CoRR abs/2411.08024 (2024) - 2023
- [c54]Corrado Mio
, Siddhartha Shakya
Strengthening Food Security: A Comparison of Food Import Forecasting Models. BDCAT 2023: 10:1-10:6 - [c53]Dymitr Ruta, Robert Ruta:
Iterative Deep Learning for Muon Scattering Tomography. IEEE Big Data 2023: 6076-6083 - [c52]Dymitr Ruta, Ming Liu, Ling Cen:
Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time. FedCSIS 2023: 1301-1306 - [c51]Ming Liu, Ling Cen, Dymitr Ruta:
Gradient boosting models for cybersecurity threat detection with aggregated time series features. FedCSIS 2023: 1311-1315 - [c50]Dymitr Ruta, Ming Liu, Ling Cen, Di Wang:
Feature Engineering for Predicting Frags in Tactical Games. ICME Workshops 2023: 28-33 - [c49]Himadri Sikhar Khargharia
Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization. IJCCI 2023: 206-213 - 2022
- [j13]Khouloud Eledlebi, Dymitr Ruta
Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi-Approach. IEEE Trans. Mob. Comput. 21(8): 2745-2760 (2022) - [c48]Dymitr Ruta, Ming Liu, Ling Cen, Quang Hieu Vu:
Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts. FedCSIS 2022: 431-436 - [c47]Quang Hieu Vu, Ling Cen, Dymitr Ruta, Ming Liu:
Key Factors to Consider when Predicting the Costs of Forwarding Contracts. FedCSIS 2022: 447-450 - [c46]Dymitr Ruta, Ling Cen, Andrzej Ruta, Quang Hieu Vu:
Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images. ICAISC (2) 2022: 49-58 - 2021
- [j12]Thanh Tung Khuat
Hyperbox-based machine learning algorithms: a comprehensive survey. Soft Comput. 25(2): 1325-1363 (2021) - [c45]Dymitr Ruta, Ling Cen, Ming Liu, Quang Hieu Vu:
Automated feature engineering for prediction of victories in online computer games. IEEE BigData 2021: 5672-5678 - [c44]Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu:
A combination of general and specific models to predict victories in video games. IEEE BigData 2021: 5683-5690 - [i3]Zainab Husain, A. Al Zaabi, Hanno Hildmann, Fabrice Saffre, Dymitr Ruta, A. F. Isakovic:
Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms. CoRR abs/2111.08882 (2021) - 2020
- [j11]Ling Cen
Augmented Immersive Reality (AIR) for Improved Learning Performance: A Quantitative Evaluation. IEEE Trans. Learn. Technol. 13(2): 283-296 (2020) - [c43]Dymitr Ruta, Ling Cen, Quang Hieu Vu:
Deep Bi-Directional LSTM Networks for Device Workload Forecasting. FedCSIS 2020: 115-118 - [i2]Khouloud Eledlebi, Dymitr Ruta, Hanno Hildmann, Fabrice Saffre, Yousof Al-Hammadi, Abdel F. Isakovic:
Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi Approach. CoRR abs/2009.04864 (2020)
2010 – 2019
- 2019
- [c42]Quang Hieu Vu, Dymitr Ruta, Ling Cen:
Gradient boosting decision trees for cyber security threats detection based on network events logs. IEEE BigData 2019: 5921-5928 - [c41]Dymitr Ruta, Ling Cen, Quang Hieu Vu:
Greedy Incremental Support Vector Regression. FedCSIS 2019: 7-9 - [c40]Ling Cen, Quang Hieu Vu, Dymitr Ruta:
Efficient Support Vector Regression with Reduced Training Data. FedCSIS 2019: 15-18 - [i1]Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys:
Hyperbox based machine learning algorithms: A comprehensive survey. CoRR abs/1901.11303 (2019) - 2018
- [c39]Zainab Husain
Search in a Maze-Like Environment with Ant Algorithms: Complexity, Size and Energy Study. ANTS Conference 2018: 150-162 - [c38]Ling Cen, Andrzej Ruta, Dymitr Ruta, Quang Hieu Vu:
Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. FedCSIS 2018: 181-184 - [c37]Quang Hieu Vu, Dymitr Ruta, Andrzej Ruta, Ling Cen:
Predicting Win-rates of Hearthstone Decks: Models and Features that Won AAIA'2018 Data Mining Challenge. FedCSIS 2018: 197-200 - [c36]Dymitr Ruta, Yousef Abosalem, Ling Cen:
Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests. FIE 2018: 1-8 - [c35]Zainab Husain
Inverted ant colony optimization for search and rescue in an unknown maze-like indoor environment. GECCO (Companion) 2018: 89-90 - [c34]Khouloud Eledlebi, Dymitr Ruta, Fabrice Saffre
Autonomous deployment of mobile sensors network in an unknown indoor environment with obstacles. GECCO (Companion) 2018: 280-281 - [c33]Khouloud Eledlebi, Dymitr Ruta, Fabrice Saffre
Voronoi-Based Indoor Deployment of Mobile Sensors Network with Obstacles. FAS*W@SASO/ICAC 2018: 20-21 - 2017
- [j10]Sohailah Alyammahi, Harish Bhaskar, Dymitr Ruta
People detection and articulated pose estimation framework for crowded scenes. Knowl. Based Syst. 131: 83-104 (2017) - [c32]Khouloud Eledlebi, Dymitr Ruta, Fabrice Saffre
A Model for Self-deployment of Autonomous Mobile Sensor Network in an Unknown Indoor Environment. ADHOCNETS 2017: 208-215 - [c31]Hanno Hildmann, Dina Y. Atia, Dymitr Ruta, A. F. Isakovic:
Is Prüfer Code Encoding Always a Bad Idea? WCO@FedCSIS 2017: 69-85 - [c30]Hanno Hildmann, Dina Y. Atia, Dymitr Ruta, S. S. Khrais, A. F. Isakovic:
A Model for Wireless-Access Network Topology and a PSO-Based Approach for Its Optimization. WCO@FedCSIS 2017: 87-116 - [c29]Quang Hieu Vu, Dymitr Ruta, Ling Cen:
An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification. FedCSIS 2017: 149-152 - [c28]Hanno Hildmann
Using branching-property preserving Pruefer Code to encode solutions for Particle Swarm Optimization. FedCSIS 2017: 429-432 - [c27]Ling Cen, Dymitr Ruta, Andrzej Ruta:
Using Recommendations for Trade Returns Prediction with Machine Learning. ISMIS 2017: 718-727 - [c26]Andrzej Ruta, Dymitr Ruta, Ling Cen:
Algorithmic Daily Trading Based on Experts' Recommendations. ISMIS 2017: 735-744 - [c25]Ling Cen, Dymitr Ruta:
A Map-Based Gender Prediction Model for Big E-Commerce Data. iThings/GreenCom/CPSCom/SmartData 2017: 1025-1029 - [c24]Dymitr Ruta, Ling Cen, Ernesto Damiani:
Summarization-Guided Greedy Optimization of Machine Learning Model. MLDM 2017: 306-321 - 2016
- [j9]Ling Cen, Dymitr Ruta
Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition. Int. J. Comput. Support. Collab. Learn. 11(2): 187-225 (2016) - [c23]Dina Y. Atia, Dymitr Ruta, Kin Fai Poon, Anis Ouali, A. F. Isakovic:
Cost effective, scalable design of indoor distributed antenna systems based on particle swarm optimization and prufer strings. CEC 2016: 4159-4166 - [c22]Ahmed Talal Suliman, Khaled Al Kaabi, Di Wang, Ahmad Al-Rubaie, Ahmed Al Dhanhani, Dymitr Ruta, John Davies, Sandra Stincic Clarke:
Event identification and assertion from social media using auto-extendable knowledge base. IJCNN 2016: 4443-4450 - 2015
- [c21]Dymitr Ruta, Ling Cen, Ernesto Damiani
Fast summarization and anonymization of multivariate big time series. IEEE BigData 2015: 1901-1904 - [c20]Ling Cen, Dymitr Ruta, Leigh Powell
Interaction driven composition of student groups for optimal groupwork learning performance. FIE 2015: 1-6 - [c19]Ling Cen, Dymitr Ruta, Jason W. P. Ng:
Big education: Opportunities for Big Data analytics. DSP 2015: 502-506 - [c18]Dymitr Ruta
Self-Organized Predictor of Methane Concentration Warnings in Coal Mines. RSFDGrC 2015: 485-493 - 2014
- [c17]Dymitr Ruta:
Automated Trading with Machine Learning on Big Data. BigData Congress 2014: 824-830 - [c16]Dymitr Ruta:
Robust Method of Sparse Feature Selection for Multi-Label Classification with Naive Bayes. FedCSIS 2014: 375-380 - [c15]Jason W. P. Ng, Dymitr Ruta
Smart Learning for the Next Generation Education Environment. Intelligent Environments 2014: 333-340 - 2011
- [j8]Dymitr Ruta
A Generic Multilevel Architecture for Time Series Prediction. IEEE Trans. Knowl. Data Eng. 23(3): 350-359 (2011)
2000 – 2009
- 2009
- [j7]Przemyslaw Kazienko, Dymitr Ruta:
The Impact of Customer Churn on Social Value Dynamics. Int. J. Virtual Communities Soc. Netw. 1(3): 62-74 (2009) - [j6]Dymitr Ruta, Bogdan Gabrys:
A framework for machine learning based on dynamic physical fields. Nat. Comput. 8(2): 219-237 (2009) - [c14]Dymitr Ruta, Przemyslaw Kazienko, Piotr Bródka:
Network-Aware Customer Value in Telecommunication Social Networks. IC-AI 2009: 261-267 - [c13]Przemyslaw Kazienko
The Influence of Customer Churn and Acquisition on Value Dynamics of Social Neighbourhoods. WSKS (1) 2009: 491-500 - 2008
- [c12]Dymitr Ruta
Mixture of Gaussians Model for Robust Pedestrian Images Detection. ECAI 2008: 713-717 - [c11]Dymitr Ruta:
A Generic Methodology for Classification of Complex Data Structures in Automotive Industry. KES (1) 2008: 448-455 - 2007
- [j5]John Hadden, Ashutosh Tiwari, Rajkumar Roy
Computer assisted customer churn management: State-of-the-art and future trends. Comput. Oper. Res. 34(10): 2902-2917 (2007) - [c10]Dymitr Ruta
Neural Network Ensembles for Time Series Prediction. IJCNN 2007: 1204-1209 - [c9]Martin Macas, Bogdan Gabrys, Dymitr Ruta, Lenka Lhotská:
Particle Swarm Optimisation of Multiple Classifier Systems. IWANN 2007: 333-340 - [p1]Dymitr Ruta:
Towards Automated Share Investment System. Perception-based Data Mining and Decision Making in Economics and Finance 2007: 135-153 - 2006
- [j4]Bogdan Gabrys, Dymitr Ruta
Genetic algorithms in classifier fusion. Appl. Soft Comput. 6(4): 337-347 (2006) - [c8]Dymitr Ruta:
Dynamic Data Condensation for Classification. ICAISC 2006: 672-681 - [c7]Dymitr Ruta, Detlef D. Nauck, Ben Azvine:
K Nearest Sequence Method and Its Application to Churn Prediction. IDEAL 2006: 207-215 - [c6]Mirko Böttcher, Detlef D. Nauck, Dymitr Ruta, Martin Spott
Towards a Framework for Change Detection in Data Sets. SGAI Conf. 2006: 115-128 - 2005
- [j3]Dymitr Ruta, Bogdan Gabrys:
Classifier selection for majority voting. Inf. Fusion 6(1): 63-81 (2005) - [c5]Dymitr Ruta:
Visualisation of the Classifier Fusion Models. Artificial Intelligence and Applications 2005: 473-478 - [c4]Dymitr Ruta:
Multidimensional Selection Model for Classification. ICEIS (2) 2005: 226-232 - 2003
- [b1]Dymitr Ruta:
Classifier diversity in combined pattern recognition systems. University of the West of Scotland, Hamilton, UK, 2003 - [j2]Dymitr Ruta
Physical field models for pattern classification. Soft Comput. 8(2): 126-141 (2003) - 2002
- [j1]Dymitr Ruta
A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems. Pattern Anal. Appl. 5(4): 333-350 (2002) - [c3]Dymitr Ruta, Bogdan Gabrys:
New Measure of Classifier Dependency in Multiple Classifier Systems. Multiple Classifier Systems 2002: 127-136 - [c2]Dymitr Ruta, Bogdan Gabrys:
Static Field Approach for Pattern Classification. Soft-Ware 2002: 232-246 - 2001
- [c1]Dymitr Ruta, Bogdan Gabrys:
Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting. Multiple Classifier Systems 2001: 399-408
Coauthor Index
aka: Abdel F. Isakovic
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