Tiejun Ma
Orcid: 0000-0001-9249-7963
According to our database1,
Tiejun Ma
authored at least 35 papers
between 2007 and 2024.
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Bibliography
2024
Parallel Byzantine Consensus Based on Hierarchical Architecture and Trusted Hardware.
IEEE Trans. Dependable Secur. Comput., 2024
Investigation of the Impact of a Passive Shoulder Exoskeleton on the Shoulder Range of Motion: A Preliminary Study.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
IEEE Trans. Computers, December, 2023
Data Augmentation to Address Various Rotation Errors of Wearable Sensors for Robust Pre-impact Fall Detection.
IEEE J. Biomed. Health Informatics, May, 2023
Acute Effects of Carbon Fiber Insole on Three Aspects of Sports Performance, Lower Extremity Muscle Activity, and Subjective Comfort.
Sensors, February, 2023
Optimal scenario-dependent multivariate shortfall risk measure and its application in risk capital allocation.
Eur. J. Oper. Res., 2023
2022
J. Comput. Sci. Technol., 2022
Turning the heat on financial decisions: Examining the role temperature plays in the incidence of bias in a time-limited financial market.
Eur. J. Oper. Res., 2022
Data-driven mixed-Integer linear programming-based optimisation for efficient failure detection in large-scale distributed systems.
Eur. J. Oper. Res., 2022
Are the least successful traders those most likely to exit the market? A survival analysis contribution to the efficient market debate.
Eur. J. Oper. Res., 2022
A Stochastic Programming Approach for an Enhanced Performance of a Multi-committees Byzantine Fault Tolerant Algorithm.
Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022
2020
Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices.
Expert Syst. Appl., 2020
Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting.
Eur. J. Oper. Res., 2020
2019
To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market.
Eur. J. Oper. Res., 2019
2017
J. Inf. Technol., 2017
2016
Bridging the divide in financial market forecasting: machine learners vs. financial economists.
Expert Syst. Appl., 2016
Eur. J. Oper. Res., 2016
Sci. China Inf. Sci., 2016
2013
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013
2012
A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction.
Eur. J. Oper. Res., 2012
2011
Simulation and Design of a Constant-Current-Controlled Spot Welding inverter with the Fuzzy Neural Network.
J. Circuits Syst. Comput., 2011
Proceedings of the NETWORKING 2011, 2011
Rule-Based Verification of Network Protocol Implementations Using Symbolic Execution.
Proceedings of 20th International Conference on Computer Communications and Networks, 2011
2010
IEEE Trans. Dependable Secur. Comput., 2010
Towards automated verification of autonomous networks: A case study in self-configuration.
Proceedings of the Eigth Annual IEEE International Conference on Pervasive Computing and Communications, 2010
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010
2009
Proceedings of the Fifth International Conference on e-Science, 2009
Proceedings of the Fifth International Conference on Information Assurance and Security, 2009
2008
Proceedings of the Fourth International Conference on e-Science, 2008
2007
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007