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ORCIDIonut Florescu
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2020 – today
- 2024
[c5]Zhiyuan Yao
, Ionut Florescu, Chihoon Lee:
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach. ICAPS 2024: 663-670- [c4]Zhiyuan Yao, Zheng Li, Matthew Thomas, Ionut Florescu:
Reinforcement Learning in Agent-Based Market Simulation: Unveiling Realistic Stylized Facts and Behavior. IJCNN 2024: 1-9 - [i6]Zhiyuan Yao, Ionut Florescu, Chihoon Lee:
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach. CoRR abs/2402.00313 (2024) - [i5]Zhiyuan Yao, Zheng Li, Matthew Thomas, Ionut Florescu:
Reinforcement Learning in Agent-Based Market Simulation: Unveiling Realistic Stylized Facts and Behavior. CoRR abs/2403.19781 (2024) - 2023
- [j3]Maria C. Mariani, Osei K. Tweneboah, Md Al Masum Bhuiyan, Maria P. Beccar-Varela, Ionut Florescu:
Classification of Financial Events and Its Effects on Other Financial Data. Axioms 12(4): 372 (2023) - 2022
- [j2]Dan Wang, Tianrui Wang, Ionut Florescu:
Is Image Encoding Beneficial for Deep Learning in Finance? IEEE Internet Things J. 9(8): 5617-5628 (2022) - 2021
- [i4]Dan Wang, Zhi Chen, Ionut Florescu:
A Sparsity Algorithm with Applications to Corporate Credit Rating. CoRR abs/2107.10306 (2021) - 2020
- [i3]Parisa Golbayani, Dan Wang, Ionut Florescu:
Application of Deep Neural Networks to assess corporate Credit Rating. CoRR abs/2003.02334 (2020) - [i2]Parisa Golbayani, Ionut Florescu, Rupak Chatterjee:
A comparative study of forecasting Corporate Credit Ratings using Neural Networks, Support Vector Machines, and Decision Trees. CoRR abs/2007.06617 (2020) - [i1]Dan Wang, Tianrui Wang, Ionut Florescu:
Is Image Encoding Beneficial for Deep Learning in Finance? An Analysis of Image Encoding Methods for the Application of Convolutional Neural Networks in Finance. CoRR abs/2010.08698 (2020)
2010 – 2019
- 2017
- [c3]Damini Mago, Amin Salighehdar, Mansi Parekh, Dragos Bozdog, Ionut Florescu:
Liquidity risk and asset movement evidence from Brexit. SSCI 2017: 1-8 - 2012
- [j1]Nikolay S. Strigul, Ionut Florescu, Alicia R. Welden, Fabian Michalczewski:
Modelling of forest stand dynamics using Markov chains. Environ. Model. Softw. 31: 64-75 (2012) - [c2]Rustam Stolkin, David Rees, Mohammed Talha, Ionut Florescu:
Bayesian fusion of thermal and visible spectra camera data for region based tracking with rapid background adaptation. MFI 2012: 192-199
2000 – 2009
- 2008
- [c1]Rustam Stolkin, Ionut Florescu, Morgan Baron, Colin Harrier, Boris Kocherov:
Efficient visual servoing with the ABCshift tracking algorithm. ICRA 2008: 3219-3224
Coauthor Index
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