Research output per year
Research output per year
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Dive into the research topics where Adam Ntakaris is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Event-triggered LOB forecasting with an adaptive RL arbitrator under heavy-tailed dynamics
Ntakaris, A. & Barbopoulos, L. G., 27 May 2026, (E-pub ahead of print).Research output: Contribution to conference › Paper › peer-review
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Event-Triggered LOB Forecasting with an Adaptive RL Arbitrator under Heavy-Tailed Dynamics
Ntakaris, A., 27 May 2026. 25 p.Research output: Contribution to conference › Abstract › peer-review
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Optimizing the output of long short-term memory cell for high-frequency forecasting in financial markets
Ntakaris, A., Gabbouj, M. & Kanniainen , J., 1 Oct 2025, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems. p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Minimal Batch Adaptive Learning Policy Engine for Real-Time Mid-Price Forecasting in High-Frequency Trading
Ntakaris, A. & Ibikunle, G., 2025, ArXiv.Research output: Working paper
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Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks
Ntakaris, A. & Ibikunle, G., 2025, ArXiv.Research output: Working paper
File
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IEEE Transactions on Neural Networks and Learning Systems (Journal)
Ntakaris, A. (Peer reviewer)
1 Apr 2026Activity: Publication peer-review and editorial work types › Publication peer-review
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PhD Viva: Multi-Agent Reinforcement Learning for Market Making
Ntakaris, A. (Examiner)
1 Feb 2026 → 17 May 2026Activity: Examination types › External Examiner or Assessor
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Online feature engineering for high-frequency trading limit order books
Ntakaris, A. (Invited speaker)
24 Mar 2022Activity: Academic talk or presentation types › Invited talk
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ECMA: Debiased Machine Learning for Stochastic Frontiers
Ntakaris, A. (Principal Investigator) & Barbopoulos, L. (Principal Investigator)
Project: Research
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ESG components and expected equity return
Cao, Y. (Principal Investigator), Dong, Y. (Principal Investigator), Dong, Y. (Principal Investigator), Ibikunle, G. (Co-investigator) & Ntakaris, A. (Co-investigator)
1/09/23 → 31/05/26
Project: Research