D. Ruta

发表

Analysis of the Correlation Between Majority Voting Error and the Diversity Measures in Multiple Classifier Systems

Bogdan Gabrys, Dymitr Ruta, D. Ruta, 2001 .

An Overview of Classifier Fusion Methods

D. Ruta, B. Gabrys, 2000 .

New Measure of Classifier Dependency in Multiple Classifier Systems

Bogdan Gabrys, Dymitr Ruta, D. Ruta, 2002, Multiple Classifier Systems.

Multilayer Selection-Fusion Model for Pattern Classification

D. Ruta, 2003 .

A Model for Self-deployment of Autonomous Mobile Sensor Network in an Unknown Indoor Environment

Yousof Al-Hammadi, Dymitr Ruta, Fabrice Saffre, 2018, ADHOCNETS.

Introducing the first whole genomes of nationals from the United Arab Emirates

Gihan Daw Elbait, D. Ruta, Habiba S. Alsafar, 2019, Scientific Reports.

prInvestor : Pattern Recognition based Financial Time Series Investment System

D. Ruta, 2004 .

Analysis of SARS-CoV-2 viral loads in stool samples and nasopharyngeal swabs from COVID-19 patients in the United Arab Emirates

D. Ruta, Habiba S. Alsafar, S. Hasan, 2022, PloS one.

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

Ashutosh Tiwari, Rajkumar Roy, Dymitr Ruta, 2007, Comput. Oper. Res..

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

D. Ruta, Quang Hieu Vu, Ling Cen, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Genomic epidemiology and emergence of SARS-CoV-2 variants of concern in the United Arab Emirates

Syafiq Kamarul Azman, D. Ruta, Habiba S. Alsafar, 2022, Scientific Reports.

A Generic Multilevel Architecture for Time Series Prediction

Bogdan Gabrys, Dymitr Ruta, Christiane Lemke, 2011, IEEE Transactions on Knowledge and Data Engineering.

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

Bogdan Gabrys, Dymitr Ruta, D. Ruta, 2002, Pattern Analysis and Applications.

Hyperbox-based machine learning algorithms: a comprehensive survey pdf

Bogdan Gabrys, T. T. Khuat, Dymitr Ruta, 2019, Soft Computing.

Hyperbox-based machine learning algorithms: a comprehensive survey

T. T. Khuat, D. Ruta, B. Gabrys, 2020, Soft Computing.

Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition

D. Ruta, Leigh Powell, B. Hirsch, 2016, International Journal of Computer-Supported Collaborative Learning.

Classifier selection for majority voting

Bogdan Gabrys, Dymitr Ruta, D. Ruta, 2005, Inf. Fusion.

Towards a Framework for Change Detection in Data Sets

Detlef D. Nauck, Martin Spott, Dymitr Ruta, 2006, SGAI Conf..

Greedy Incremental Support Vector Regression

Dymitr Ruta, Quang Hieu Vu, Ling Cen, 2019, 2019 Federated Conference on Computer Science and Information Systems (FedCSIS).

Smart Learning for the Next Generation Education Environment

Di Wang, Jason W. P. Ng, Ahmad Al-Rubaie, 2014, 2014 International Conference on Intelligent Environments.

Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests

Dymitr Ruta, Ling Cen, Yousef Abosalem, 2018, 2018 IEEE Frontiers in Education Conference (FIE).

Augmented Immersive Reality (AIR) for Improved Learning Performance: A Quantitative Evaluation

Jason W. P. Ng, Jason Ng, Dymitr Ruta, 2020, IEEE Transactions on Learning Technologies.

A Hybrid Voronoi Tessellation/Genetic Algorithm Approach for the Deployment of Drone-Based Nodes of a Self-Organizing Wireless Sensor Network (WSN) in Unknown and GPS Denied Environments

Hanno Hildmann, Dymitr Ruta, Abdel F. Isakovic, 2020, Drones.

Search in a Maze-Like Environment with Ant Algorithms: Complexity, Size and Energy Study

Yousof Al-Hammadi, Dymitr Ruta, Fabrice Saffre, 2018, ANTS Conference.

Inverted ant colony optimization for search and rescue in an unknown maze-like indoor environment

Yousof Al-Hammadi, Dymitr Ruta, Fabrice Saffre, 2018, GECCO.

Automated feature engineering for prediction of victories in online computer games

D. Ruta, Quang Hieu Vu, Ling Cen, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Deep Bi-Directional LSTM Networks for Device Workload Forecasting

Dymitr Ruta, Ling Cen, Quang Hieu Vu, 2020, 2020 15th Conference on Computer Science and Information Systems (FedCSIS).

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

Dymitr Ruta, Ling Cen, Quang Hieu Vu, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Predicting Win-Rates of Hearthstone Decks: Models and Features that Won AAIA'2018 Data Mining Challenge

Dymitr Ruta, Quang Hieu Vu, Andrzej Ruta, 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

Regression Networks for Robust Win-Rates Predictions of AI Gaming Bots

Dymitr Ruta, Quang Hieu Vu, Andrzej Ruta, 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

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

Dymitr Ruta, Quang Hieu Vu, Ling Cen, 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).

Algorithmic Daily Trading Based on Experts' Recommendations

Dymitr Ruta, Andrzej Ruta, Ling Cen, 2017, ISMIS.

Using Recommendations for Trade Returns Prediction with Machine Learning

Dymitr Ruta, Andrzej Ruta, Ling Cen, 2017, ISMIS.

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

Dymitr Ruta, Ling Cen, D. Ruta, 2017, 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

Self-Organized Predictor of Methane Concentration Warnings in Coal Mines

Dymitr Ruta, Ling Cen, D. Ruta, 2015, RSFDGrC.

Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms pdf

H. Hildmann, D. Ruta, Z. Husain, 2021, Drones.

Is Prüfer Code Encoding Always a Bad Idea?

Hanno Hildmann, Dymitr Ruta, A. F. Isakovic, 2018, WCO@FedCSIS.

People detection and articulated pose estimation framework for crowded scenes

Harish Bhaskar, Mohammed E. Al-Mualla, Dymitr Ruta, 2017, Knowl. Based Syst..

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

Dymitr Ruta, D. Ruta, 2008, KES.

Mixture of Gaussians Model for Robust Pedestrian Images Detection

Dymitr Ruta, D. Ruta, 2008, ECAI.

The Impact of Customer Churn on Social Value Dynamics

Przemyslaw Kazienko, Dymitr Ruta, Przemyslaw Kazienko, 2009, Int. J. Virtual Communities Soc. Netw..

Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition

Benjamin Hirsch, Dymitr Ruta, Jason W. P. Ng, 2016, International Journal of Computer-Supported Collaborative Learning.

Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi-Approach

F. Saffre, D. Ruta, Yousof Al-Hammadi, 2020, IEEE Transactions on Mobile Computing.

Churn Prediction: Does Technology Matter?

Rajkumar Roy, Dymitr Ruta, Ashutosh Tiwari, 2008 .

Reducing Spatial Data Complexity for Classification Models

Bogdan Gabrys, Dymitr Ruta, D. Ruta, 2007 .

Static Field Approach for Pattern Classification

Bogdan Gabrys, Dymitr Ruta, D. Ruta, 2002, Soft-Ware.

Summarization-Guided Greedy Optimization of Machine Learning Model

Ernesto Damiani, Dymitr Ruta, Ling Cen, 2017, MLDM.

Key Factors to Consider when Predicting the Costs of Forwarding Contracts

D. Ruta, Quang Hieu Vu, Ling Cen, 2022, 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS).

Does gender matter for collaborative learning?

Dymitr Ruta, Ling Cen, Jason W. P. Ng, 2014, 2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE).

Business process forecasting in telecom industry

B. Majeed, D. Ruta, D. Ruta, 2011, 2011 IEEE GCC Conference and Exhibition (GCC).

Physical field models for pattern classification

Bogdan Gabrys, Dymitr Ruta, D. Ruta, 2003, Soft Comput..

A framework for machine learning based on dynamic physical fields

Bogdan Gabrys, Dymitr Ruta, D. Ruta, 2009, Natural Computing.

Voronoi-Based Indoor Deployment of Mobile Sensors Network with Obstacles

Yousof Al-Hammadi, Dymitr Ruta, Fabrice Saffre, 2018, 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W).