Dymitr Ruta

Orcid: 0000-0003-1060-6375

According to our database1, Dymitr Ruta authored at least 70 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Comparative Analysis of Metaheuristics Techniques for Trade Data Harmonization.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Feature Engineering for Predicting Frags in Tactical Games.
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.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Gradient boosting models for cybersecurity threat detection with aggregated time series features.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Iterative Deep Learning for Muon Scattering Tomography.
Proceedings of the IEEE International Conference on Big Data, 2023

Strengthening Food Security: A Comparison of Food Import Forecasting Models.
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.
IEEE Trans. Mob. Comput., 2022

Stacked Ensemble of Convolutional Neural Networks for Follicles Detection on Scalp Images.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

Key Factors to Consider when Predicting the Costs of Forwarding Contracts.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021
Hyperbox-based machine learning algorithms: a comprehensive survey.
Soft Comput., 2021

Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms.
CoRR, 2021

A combination of general and specific models to predict victories in video games.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Automated feature engineering for prediction of victories in online computer games.
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.
IEEE Trans. Learn. Technol., 2020

Deep Bi-Directional LSTM Networks for Device Workload Forecasting.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

2019
Greedy Incremental Support Vector Regression.
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

Efficient Support Vector Regression with Reduced Training Data.
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.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Voronoi-Based Indoor Deployment of Mobile Sensors Network with Obstacles.
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.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Autonomous deployment of mobile sensors network in an unknown indoor environment with obstacles.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Generative Model of Knowledge Gaps Discovery from Multiple Choice Tests.
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.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

Regression Networks for Robust Win-rates Predictions of AI Gaming Bots.
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.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017
People detection and articulated pose estimation framework for crowded scenes.
Knowl. Based Syst., 2017

Summarization-Guided Greedy Optimization of Machine Learning Model.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

A Map-Based Gender Prediction Model for Big E-Commerce Data.
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.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Using Recommendations for Trade Returns Prediction with Machine Learning.
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.
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.
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.
Proceedings of the Recent Advances in Computational Optimization, 2017

Is Prüfer Code Encoding Always a Bad Idea?
Proceedings of the Recent Advances in Computational Optimization, 2017

A Model for Self-deployment of Autonomous Mobile Sensor Network in an Unknown Indoor Environment.
Proceedings of the Ad Hoc Networks, 2017

2016
Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition.
Int. J. Comput. Support. Collab. Learn., 2016

Event identification and assertion from social media using auto-extendable knowledge base.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Self-Organized Predictor of Methane Concentration Warnings in Coal Mines.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Big education: Opportunities for Big Data analytics.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Interaction driven composition of student groups for optimal groupwork learning performance.
Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015

Fast summarization and anonymization of multivariate big time series.
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.
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.
Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

Automated Trading with Machine Learning on Big Data.
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.
IEEE Trans. Knowl. Data Eng., 2011

2009
A framework for machine learning based on dynamic physical fields.
Nat. Comput., 2009

The Impact of Customer Churn on Social Value Dynamics.
Int. J. Virtual Communities Soc. Netw., 2009

The Influence of Customer Churn and Acquisition on Value Dynamics of Social Neighbourhoods.
Proceedings of the Visioning and Engineering the Knowledge Society. A Web Science Perspective, 2009

Network-Aware Customer Value in Telecommunication Social Networks.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

2008
A Generic Methodology for Classification of Complex Data Structures in Automotive Industry.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Mixture of Gaussians Model for Robust Pedestrian Images Detection.
Proceedings of the ECAI 2008, 2008

2007
Towards Automated Share Investment System.
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.
Comput. Oper. Res., 2007

Particle Swarm Optimisation of Multiple Classifier Systems.
Proceedings of the Computational and Ambient Intelligence, 2007

Neural Network Ensembles for Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Genetic algorithms in classifier fusion.
Appl. Soft Comput., 2006

Towards a Framework for Change Detection in Data Sets.
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006

K Nearest Sequence Method and Its Application to Churn Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Dynamic Data Condensation for Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
Classifier selection for majority voting.
Inf. Fusion, 2005

Multidimensional Selection Model for Classification.
Proceedings of the ICEIS 2005, 2005

Visualisation of the Classifier Fusion Models.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2003
Classifier diversity in combined pattern recognition systems.
PhD thesis, 2003

Physical field models for pattern classification.
Soft Comput., 2003

2002
A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems.
Pattern Anal. Appl., 2002

Static Field Approach for Pattern Classification.
Proceedings of the Soft-Ware 2002: Computing in an Imperfect World, 2002

New Measure of Classifier Dependency in Multiple Classifier Systems.
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.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001


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