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ORCIDDymitr Ruta
- > Home > Persons > Dymitr Ruta
Publications
- 2023
[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 - 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
- [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 - 2020
- [j11]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. 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 - 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 - 2018
- [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 - 2017
- [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 - [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, Leigh Powell, Benjamin Hirsch, Jason W. P. Ng:
Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition. Int. J. Comput. Support. Collab. Learn. 11(2): 187-225 (2016) - 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, Jason W. P. Ng:
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, Ling Cen:
Self-Organized Predictor of Methane Concentration Warnings in Coal Mines. RSFDGrC 2015: 485-493 - 2014
- [c15]Jason W. P. Ng, Dymitr Ruta, Ahmad Al-Rubaie, Di Wang, Leigh Powell, Benjamin Hirsch, Ming Liu, Ling Cen, Ahmed Al Dhanhani:
Smart Learning for the Next Generation Education Environment. Intelligent Environments 2014: 333-340
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