Scalable Hyperbox Clustering for Geospatial Data.

Dymitr Ruta https://orcid.org/0000-0003-1060-6375 Dymitr Ruta Ernesto Damiani Bogdan Gabrys Scalable Hyperbox Clustering for Geospatial Data. 1-4 2025 FUZZ https://doi.org/10.1109/FUZZ62266.2025.11152147 conf/fuzzIEEE/2025 db/conf/fuzzIEEE/fuzzIEEE2025.html#RutaDG25 streams/conf/fuzzIEEE Dymitr Ruta Ming Liu Ling Cen Moves Based Prediction of Chess Puzzle Difficulty with Convolutional Neural Networks. 8390-8395 2024 IEEE Big Data https://doi.org/10.1109/BigData62323.2024.10825595 conf/bigdataconf/2024 db/conf/bigdataconf/bigdataconf2024.html#RutaLC24 Quang Hieu Vu Dymitr Ruta Ling Cen Ming Liu FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach. 185-190 2024 FedCSIS (Communication Papers) https://doi.org/10.15439/2024F7856 conf/fedcsis/2024c db/conf/fedcsis/fedcsis2024c.html#VuRCL24 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. 761-766 2024 FedCSIS https://doi.org/10.15439/2024F2428 conf/fedcsis/2024 db/conf/fedcsis/fedcsis2024.html#LiuCRV24 Himadri Sikhar Khargharia Sid Shakya Dymitr Ruta Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume Optimization. 338-345 2024 IJCCI https://doi.org/10.5220/0013052500003837 conf/ijcci/2024 db/conf/ijcci/ijcci2024.html#KharghariaSR24

Dymitr Ruta Corrado Mio Ernesto Damiani Leonardo vindicated: Pythagorean trees for minimal reconstruction of the natural branching structures. 2024 abs/2411.08024 CoRR https://doi.org/10.48550/arXiv.2411.08024 db/journals/corr/corr2411.html#abs-2411-08024 streams/journals/corr

Corrado Mio Siddhartha Shakya Himadri Sikhar Khargharia Dymitr Ruta Subey Dengur Aysha Ali Saif Al Shamisi Asma Alawneh Strengthening Food Security: A Comparison of Food Import Forecasting Models. 10:1-10:6 2023 BDCAT https://doi.org/10.1145/3632366.3632392 conf/bdc/2023 db/conf/bdc/bdcat2023.html#MioSKRDSA23 Dymitr Ruta Robert Ruta Iterative Deep Learning for Muon Scattering Tomography. 6076-6083 2023 IEEE Big Data https://doi.org/10.1109/BigData59044.2023.10386973 conf/bigdataconf/2023 db/conf/bigdataconf/bigdataconf2023.html#RutaR23 Dymitr Ruta Ming Liu Ling Cen Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time. 1301-1306 2023 FedCSIS https://doi.org/10.15439/2023F7166 conf/fedcsis/2023 db/conf/fedcsis/fedcsis2023.html#RutaLC23 Ming Liu Ling Cen Dymitr Ruta Gradient boosting models for cybersecurity threat detection with aggregated time series features. 1311-1315 2023 FedCSIS https://doi.org/10.15439/2023F4457 conf/fedcsis/2023 db/conf/fedcsis/fedcsis2023.html#LiuCR23 Dymitr Ruta Ming Liu Ling Cen Di Wang 0001 Feature Engineering for Predicting Frags in Tactical Games. 28-33 2023 ICME Workshops https://doi.org/10.1109/ICMEW59549.2023.00011 conf/icmcs/2023w db/conf/icmcs/icmew2023.html#RutaLCW23 Himadri Sikhar Khargharia Sid Shakya Dymitr Ruta Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization. 206-213 2023 IJCCI https://doi.org/10.5220/0012176600003595 conf/ijcci/2023 db/conf/ijcci/ijcci2023.html#KharghariaSR23

Khouloud Eledlebi Dymitr Ruta Hanno Hildmann Fabrice Saffre Yousof Al-Hammadi A. F. Isakovic Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi-Approach. 2745-2760 2022 21 IEEE Trans. Mob. Comput. 8 https://doi.org/10.1109/TMC.2020.3046184 db/journals/tmc/tmc21.html#EledlebiRHSAI22

Dymitr Ruta Ming Liu Ling Cen Quang Hieu Vu Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts. 431-436 2022 FedCSIS https://doi.org/10.15439/2022F291 conf/fedcsis/2022 db/conf/fedcsis/fedcsis2022.html#RutaLCV22 Quang Hieu Vu Ling Cen Dymitr Ruta Ming Liu Key Factors to Consider when Predicting the Costs of Forwarding Contracts. 447-450 2022 FedCSIS https://doi.org/10.15439/2022F293 conf/fedcsis/2022 db/conf/fedcsis/fedcsis2022.html#VuCRL22 Dymitr Ruta Ling Cen Andrzej Ruta Quang Hieu Vu Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images. 49-58 2022 ICAISC (2) https://doi.org/10.1007/978-3-031-23480-4_4 conf/icaisc/2022-2 db/conf/icaisc/icaisc2022-2.html#RutaCRV22

Thanh Tung Khuat Dymitr Ruta Bogdan Gabrys Hyperbox-based machine learning algorithms: a comprehensive survey. 1325-1363 2021 25 Soft Comput. 2 https://doi.org/10.1007/s00500-020-05226-7 db/journals/soco/soco25.html#KhuatRG21

Dymitr Ruta Ling Cen Ming Liu Quang Hieu Vu Automated feature engineering for prediction of victories in online computer games. 5672-5678 2021 IEEE BigData https://doi.org/10.1109/BigData52589.2021.9671345 conf/bigdataconf/2021 db/conf/bigdataconf/bigdataconf2021.html#RutaCLV21 Quang Hieu Vu Dymitr Ruta Ling Cen Ming Liu A combination of general and specific models to predict victories in video games. 5683-5690 2021 IEEE BigData https://doi.org/10.1109/BigData52589.2021.9671285 conf/bigdataconf/2021 db/conf/bigdataconf/bigdataconf2021.html#VuRCL21

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. 2021 abs/2111.08882 CoRR https://arxiv.org/abs/2111.08882 db/journals/corr/corr2111.html#abs-2111-08882

Ling Cen Dymitr Ruta Lamees Mahmoud Mohd Said Al Qassem Jason W. P. Ng Augmented Immersive Reality (AIR) for Improved Learning Performance: A Quantitative Evaluation. 283-296 2020 13 IEEE Trans. Learn. Technol. 2 https://doi.org/10.1109/TLT.2019.2937525 db/journals/tlt/tlt13.html#CenRQN20

Dymitr Ruta Ling Cen Quang Hieu Vu Deep Bi-Directional LSTM Networks for Device Workload Forecasting. 115-118 2020 FedCSIS https://doi.org/10.15439/2020F213 conf/fedcsis/2020 db/conf/fedcsis/fedcsis2020.html#RutaCV20

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. 2020 abs/2009.04864 CoRR https://arxiv.org/abs/2009.04864 db/journals/corr/corr2009.html#abs-2009-04864

Quang Hieu Vu Dymitr Ruta Ling Cen Gradient boosting decision trees for cyber security threats detection based on network events logs. 5921-5928 2019 IEEE BigData https://doi.org/10.1109/BigData47090.2019.9006061 conf/bigdataconf/2019 db/conf/bigdataconf/bigdataconf2019.html#VuRC19 Dymitr Ruta Ling Cen Quang Hieu Vu Greedy Incremental Support Vector Regression. 7-9 2019 FedCSIS https://doi.org/10.15439/2019F364 conf/fedcsis/2019 db/conf/fedcsis/fedcsis2019.html#RutaCV19 Ling Cen Quang Hieu Vu Dymitr Ruta Efficient Support Vector Regression with Reduced Training Data. 15-18 2019 FedCSIS https://doi.org/10.15439/2019F362 conf/fedcsis/2019 db/conf/fedcsis/fedcsis2019.html#CenVR19

Thanh Tung Khuat Dymitr Ruta Bogdan Gabrys Hyperbox based machine learning algorithms: A comprehensive survey. 2019 abs/1901.11303 CoRR http://arxiv.org/abs/1901.11303 db/journals/corr/corr1901.html#abs-1901-11303

Zainab Husain Dymitr Ruta Fabrice Saffre Yousof Al-Hammadi Abdel F. Isakovic Search in a Maze-Like Environment with Ant Algorithms: Complexity, Size and Energy Study. 150-162 2018 ANTS Conference https://doi.org/10.1007/978-3-030-00533-7_12 conf/antsw/2018 db/conf/antsw/ants2018.html#HusainRSAI18 Ling Cen Andrzej Ruta Dymitr Ruta Quang Hieu Vu Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. 181-184 2018 FedCSIS https://doi.org/10.15439/2018F364 conf/fedcsis/2018 db/conf/fedcsis/fedcsis2018.html#CenRRV18 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. 197-200 2018 FedCSIS https://doi.org/10.15439/2018F363 conf/fedcsis/2018 db/conf/fedcsis/fedcsis2018.html#VuRRC18 Dymitr Ruta Yousef Abosalem Ling Cen Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests. 1-8 2018 FIE https://doi.org/10.1109/FIE.2018.8658471 conf/fie/2018 db/conf/fie/fie2018.html#RutaAC18 Zainab Husain Dymitr Ruta Fabrice Saffre Yousof Al-Hammadi A. F. Isakovic Inverted ant colony optimization for search and rescue in an unknown maze-like indoor environment. 89-90 2018 GECCO (Companion) https://doi.org/10.1145/3205651.3205738 conf/gecco/2018c db/conf/gecco/gecco2018c.html#HusainRSAI18 Khouloud Eledlebi Dymitr Ruta Fabrice Saffre Yousof Al-Hammadi A. F. Isakovic Autonomous deployment of mobile sensors network in an unknown indoor environment with obstacles. 280-281 2018 GECCO (Companion) https://doi.org/10.1145/3205651.3205725 conf/gecco/2018c db/conf/gecco/gecco2018c.html#EledlebiRSAI18 Khouloud Eledlebi Dymitr Ruta Fabrice Saffre Yousof Al-Hammadi Abdel F. Isakovic Voronoi-Based Indoor Deployment of Mobile Sensors Network with Obstacles. 20-21 2018 FAS*W@SASO/ICAC https://doi.org/10.1109/FAS-W.2018.00019 conf/saso/2018fasw db/conf/saso/fasw2018.html#EledlebiRSAI18

Sohailah Alyammahi Harish Bhaskar Dymitr Ruta Mohammed E. Al-Mualla People detection and articulated pose estimation framework for crowded scenes. 83-104 2017 131 Knowl. Based Syst. https://doi.org/10.1016/j.knosys.2017.06.001 db/journals/kbs/kbs131.html#AlyammahiBRA17

Khouloud Eledlebi Dymitr Ruta Fabrice Saffre Yousof Al-Hammadi A. F. Isakovic A Model for Self-deployment of Autonomous Mobile Sensor Network in an Unknown Indoor Environment. 208-215 2017 ADHOCNETS https://doi.org/10.1007/978-3-319-74439-1_19 conf/adhocnets/2017 db/conf/adhocnets/adhocnets2017.html#EledlebiRSAI17 Hanno Hildmann Dina Y. Atia Dymitr Ruta A. F. Isakovic Is Prüfer Code Encoding Always a Bad Idea? 69-85 2017 WCO@FedCSIS https://doi.org/10.1007/978-3-319-99648-6_5 conf/fedcsis/2017wco db/conf/fedcsis/wco2017.html#HildmannARI17 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. 87-116 2017 WCO@FedCSIS https://doi.org/10.1007/978-3-319-99648-6_6 conf/fedcsis/2017wco db/conf/fedcsis/wco2017.html#HildmannARKI17 Quang Hieu Vu Dymitr Ruta Ling Cen An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification. 149-152 2017 FedCSIS https://doi.org/10.15439/2017F564 conf/fedcsis/2017 db/conf/fedcsis/fedcsis2017.html#VuRC17 Hanno Hildmann Dymitr Ruta Dina Y. Atia A. F. Isakovic Using branching-property preserving Pruefer Code to encode solutions for Particle Swarm Optimization. 429-432 2017 FedCSIS https://doi.org/10.15439/2017F117 conf/fedcsis/2017 db/conf/fedcsis/fedcsis2017.html#HildmannRAI17 Ling Cen Dymitr Ruta Andrzej Ruta Using Recommendations for Trade Returns Prediction with Machine Learning. 718-727 2017 ISMIS https://doi.org/10.1007/978-3-319-60438-1_70 conf/ismis/2017 db/conf/ismis/ismis2017.html#CenRR17 Andrzej Ruta Dymitr Ruta Ling Cen Algorithmic Daily Trading Based on Experts' Recommendations. 735-744 2017 ISMIS https://doi.org/10.1007/978-3-319-60438-1_72 conf/ismis/2017 db/conf/ismis/ismis2017.html#RutaRC17 Ling Cen Dymitr Ruta A Map-Based Gender Prediction Model for Big E-Commerce Data. 1025-1029 2017 iThings/GreenCom/CPSCom/SmartData https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.157 https://doi.ieeecomputersociety.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.157 conf/ithings/2017 db/conf/ithings/ithings2017.html#CenR17 Dymitr Ruta Ling Cen Ernesto Damiani Summarization-Guided Greedy Optimization of Machine Learning Model. 306-321 2017 MLDM https://doi.org/10.1007/978-3-319-62416-7_22 conf/mldm/2017 db/conf/mldm/mldm2017.html#RutaCD17

Ling Cen Dymitr Ruta Leigh Powell Benjamin Hirsch Jason W. P. Ng Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition. 187-225 2016 11 Int. J. Comput. Support. Collab. Learn. 2 https://doi.org/10.1007/s11412-016-9234-6 db/journals/cscl/cscl11.html#CenRPHN16

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. 4159-4166 2016 CEC https://doi.org/10.1109/CEC.2016.7744318 conf/cec/2016 db/conf/cec/cec2016.html#AtiaRPOI16 Ahmed Talal Suliman Khaled Al Kaabi Di Wang 0001 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. 4443-4450 2016 IJCNN https://doi.org/10.1109/IJCNN.2016.7727781 conf/ijcnn/2016 db/conf/ijcnn/ijcnn2016.html#SulimanKWADRDC16 Dymitr Ruta Ling Cen Ernesto Damiani Fast summarization and anonymization of multivariate big time series. 1901-1904 2015 IEEE BigData https://doi.org/10.1109/BigData.2015.7363965 conf/bigdataconf/2015 db/conf/bigdataconf/bigdataconf2015.html#RutaCD15 Ling Cen Dymitr Ruta Leigh Powell Jason W. P. Ng Interaction driven composition of student groups for optimal groupwork learning performance. 1-6 2015 FIE https://doi.org/10.1109/FIE.2015.7344266 https://doi.ieeecomputersociety.org/10.1109/FIE.2015.7344266 conf/fie/2015 db/conf/fie/fie2015.html#CenRPN15 Ling Cen Dymitr Ruta Jason W. P. Ng Big education: Opportunities for Big Data analytics. 502-506 2015 DSP https://doi.org/10.1109/ICDSP.2015.7251923 conf/icdsp/2015 db/conf/icdsp/icdsp2015.html#CenRN15 Dymitr Ruta Ling Cen Self-Organized Predictor of Methane Concentration Warnings in Coal Mines. 485-493 2015 RSFDGrC https://doi.org/10.1007/978-3-319-25783-9_43 conf/rsfdgrc/2015 db/conf/rsfdgrc/rsfdgrc2015.html#RutaC15 Dymitr Ruta Automated Trading with Machine Learning on Big Data. 824-830 2014 BigData Congress https://doi.org/10.1109/BigData.Congress.2014.143 conf/bigdata/2014 db/conf/bigdata/bigdata2014.html#Ruta14 Dymitr Ruta Robust Method of Sparse Feature Selection for Multi-Label Classification with Naive Bayes. 375-380 2014 FedCSIS conf/fedcsis/2014 db/conf/fedcsis/fedcsis2014.html#Ruta14 https://doi.org/10.15439/2014F502 Jason W. P. Ng Dymitr Ruta Ahmad Al-Rubaie Di Wang 0001 Leigh Powell Benjamin Hirsch Ming Liu Ling Cen Ahmed Al Dhanhani Smart Learning for the Next Generation Education Environment. 333-340 2014 Intelligent Environments https://doi.org/10.1109/IE.2014.73 conf/intenv/2014 db/conf/intenv/intenv2014.html#NgRAWPHMLD14

Dymitr Ruta Bogdan Gabrys Christiane Lemke A Generic Multilevel Architecture for Time Series Prediction. 350-359 2011 23 IEEE Trans. Knowl. Data Eng. 3 https://doi.org/10.1109/TKDE.2010.137 http://doi.ieeecomputersociety.org/10.1109/TKDE.2010.137 db/journals/tkde/tkde23.html#RutaGL11

Przemyslaw Kazienko Dymitr Ruta The Impact of Customer Churn on Social Value Dynamics. 62-74 2009 1 Int. J. Virtual Communities Soc. Netw. 3 https://doi.org/10.4018/jvcsn.2009070105 db/journals/ijvcsn/ijvcsn1.html#KazienkoR09

Dymitr Ruta Bogdan Gabrys A framework for machine learning based on dynamic physical fields. 219-237 2009 8 Nat. Comput. 2 https://doi.org/10.1007/s11047-007-9064-6 db/journals/nc/nc8.html#RutaG09

Dymitr Ruta Przemyslaw Kazienko Piotr Bródka Network-Aware Customer Value in Telecommunication Social Networks. 261-267 2009 IC-AI conf/icai/2009 db/conf/icai/icai2009.html#RutaKB09 Przemyslaw Kazienko Piotr Bródka Dymitr Ruta The Influence of Customer Churn and Acquisition on Value Dynamics of Social Neighbourhoods. 491-500 2009 WSKS (1) https://doi.org/10.1007/978-3-642-04754-1_50 conf/wsks/2009-1 db/conf/wsks/wsks2009-1.html#KazienkoBR09 Dymitr Ruta Mixture of Gaussians Model for Robust Pedestrian Images Detection. 713-717 2008 ECAI https://doi.org/10.3233/978-1-58603-891-5-713 conf/ecai/2008 db/conf/ecai/ecai2008.html#Ruta08 Dymitr Ruta A Generic Methodology for Classification of Complex Data Structures in Automotive Industry. 448-455 2008 KES (1) https://doi.org/10.1007/978-3-540-85563-7_58 conf/kes/2008-1 db/conf/kes/kes2008-1.html#Ruta08

John Hadden Ashutosh Tiwari 0001 Rajkumar Roy Dymitr Ruta Computer assisted customer churn management: State-of-the-art and future trends. 2902-2917 2007 34 Comput. Oper. Res. 10 https://doi.org/10.1016/j.cor.2005.11.007 db/journals/cor/cor34.html#HaddenTRR07

Dymitr Ruta Bogdan Gabrys Neural Network Ensembles for Time Series Prediction. 1204-1209 2007 IJCNN https://doi.org/10.1109/IJCNN.2007.4371129 conf/ijcnn/2007 db/conf/ijcnn/ijcnn2007.html#RutaG07 Martin Macas Bogdan Gabrys Dymitr Ruta Lenka Lhotská Particle Swarm Optimisation of Multiple Classifier Systems. 333-340 2007 conf/iwann/2007 IWANN https://doi.org/10.1007/978-3-540-73007-1_41 db/conf/iwann/iwann2007.html#MacasGRL07 Dymitr Ruta Towards Automated Share Investment System. 135-153 2007 Perception-based Data Mining and Decision Making in Economics and Finance https://doi.org/10.1007/978-3-540-36247-0_5 series/sci/2007-36 db/series/sci/sci36.html#Ruta07

Bogdan Gabrys Dymitr Ruta Genetic algorithms in classifier fusion. 337-347 2006 6 Appl. Soft Comput. 4 https://doi.org/10.1016/j.asoc.2005.11.001 db/journals/asc/asc6.html#GabrysR06

Dymitr Ruta Dynamic Data Condensation for Classification. 672-681 2006 conf/icaisc/2006 ICAISC https://doi.org/10.1007/11785231_70 db/conf/icaisc/icaisc2006.html#Ruta06 Dymitr Ruta Detlef D. Nauck Ben Azvine K Nearest Sequence Method and Its Application to Churn Prediction. 207-215 2006 conf/ideal/2006 IDEAL https://doi.org/10.1007/11875581_25 db/conf/ideal/ideal2006.html#RutaNA06 Mirko Böttcher Detlef D. Nauck Dymitr Ruta Martin Spott Towards a Framework for Change Detection in Data Sets. 115-128 2006 SGAI Conf. https://doi.org/10.1007/978-1-84628-663-6_9 conf/sgai/2006 db/conf/sgai/sgai2006.html#BottcherNRS06

Dymitr Ruta Bogdan Gabrys Classifier selection for majority voting. 63-81 2005 6 Inf. Fusion 1 https://doi.org/10.1016/j.inffus.2004.04.008 db/journals/inffus/inffus6.html#RutaG05

Dymitr Ruta Visualisation of the Classifier Fusion Models. 473-478 2005 conf/aia/2005 Artificial Intelligence and Applications db/conf/aia/aia2005.html#Ruta05 Dymitr Ruta Multidimensional Selection Model for Classification. 226-232 2005 conf/iceis/2005 ICEIS (2) db/conf/iceis/iceis2005-2.html#Ruta05 Dymitr Ruta Classifier diversity in combined pattern recognition systems. 2003 University of the West of Scotland, Hamilton, UK https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398320 British Library, EThOS

Dymitr Ruta Bogdan Gabrys Physical field models for pattern classification. 126-141 2003 8 Soft Comput. 2 https://doi.org/10.1007/s00500-002-0253-z db/journals/soco/soco8.html#RutaG03

Dymitr Ruta Bogdan Gabrys A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems. 333-350 2002 5 Pattern Anal. Appl. 4 https://doi.org/10.1007/s100440200030 db/journals/paa/paa5.html#RutaG02

Dymitr Ruta Bogdan Gabrys New Measure of Classifier Dependency in Multiple Classifier Systems. 127-136 2002 conf/mcs/2002 Multiple Classifier Systems https://doi.org/10.1007/3-540-45428-4_13 db/conf/mcs/mcs2002.html#RutaG02 Dymitr Ruta Bogdan Gabrys Static Field Approach for Pattern Classification. 232-246 2002 conf/software/2002 Soft-Ware https://doi.org/10.1007/3-540-46019-5_18 db/conf/software/software2002.html#RutaG02 Dymitr Ruta Bogdan Gabrys Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting. 399-408 2001 conf/mcs/2001 Multiple Classifier Systems https://doi.org/10.1007/3-540-48219-9_40 db/conf/mcs/mcs2001.html#RutaG01 Yousef Abosalem Yousof Al-Hammadi Mohammed E. Al-Mualla Ahmad Al-Rubaie Asma Alawneh Sohailah Alyammahi Dina Y. Atia Ben Azvine Harish Bhaskar Mirko Böttcher Piotr Bródka Ling Cen Ernesto Damiani John Davies Subey Dengur Ahmed Al Dhanhani Khouloud Eledlebi Bogdan Gabrys John Hadden Hanno Hildmann Benjamin Hirsch Zainab Husain A. F. IsakovicAbdel F. Isakovic Khaled Al Kaabi Przemyslaw Kazienko Himadri Sikhar Khargharia S. S. Khrais Thanh Tung Khuat Christiane Lemke Lenka Lhotská Ming Liu Martin Macas Corrado Mio Detlef D. Nauck Jason W. P. Ng Anis Ouali Kin Fai Poon Leigh Powell Lamees Mahmoud Mohd Said Al Qassem Rajkumar Roy Andrzej Ruta Robert Ruta Fabrice Saffre Siddhartha ShakyaSid Shakya Aysha Ali Saif Al Shamisi Martin Spott Sandra StincicSandra Stincic Clarke Ahmed Talal Suliman Ashutosh Tiwari 0001 Quang Hieu Vu Di Wang 0001 A. Al Zaabi