Ling Cen

发表

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).

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.

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.

How would big data support societal development and environmental sustainability? Insights and practices

Malin Song, Yutao Wang, Donald Huisingh, 2017 .

Comprehensive efficiency evaluation of coal enterprises from production and pollution treatment process

Malin Song, Ling Cen, Shuhong Wang, 2015 .

DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation

Ling Cen, Xiaofeng Yang, Wenqing Yao, 2022, KDD.

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.

DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation

Ling Cen, Xiaofeng Yang, Wenqing Yao, 2022, Knowledge Discovery and Data Mining.

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.

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).

DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation

Ling Cen, Xiaofeng Yang, Wenqing Yao, 2022, Knowledge Discovery and Data Mining.

Diversified gradient boosting ensembles for prediction of the cost of forwarding contracts

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