Avraam Tsantekidis

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 20

Top Topics

Trading Strategies

Top Venues

Neural Networks

Publications

Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Modeling limit order trading with a continuous action policy for deep reinforcement learning. Neural Networks 165 (2023)
Paraskevi Nousi, Loukia Avramelou, Georgios Rodinos, Maria Tzelepi, Theodoros Manousis, Konstantinos Tsampazis, Kyriakos Stefanidis, Dimitris Spanos, Emmanouil Kirtas, Pavlos Tosidis, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. CoRR (2023)
Pavlos Floratos, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Online Knowledge Distillation for Financial Timeseries Forecasting. INISTA (2022)
Nikolaos Passalis, Loukia Avramelou, Solon Seficha, Avraam Tsantekidis, Stavros Doropoulos, Giorgos Makris, Anastasios Tefas
Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning. Neural Comput. Appl. 34 (22) (2022)
Georgios Panagiotatos, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability. ICASSP (2022)
Avraam Tsantekidis, Nikolaos Passalis, Anastasia-Sotiria Toufa, Konstantinos Saitas Zarkias, Stergios Chairistanidis, Anastasios Tefas
Price Trailing for Financial Trading Using Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Avraam Tsantekidis, Anastasios Tefas
Transferring trading strategy knowledge to deep learning models. Knowl. Inf. Syst. 63 (1) (2021)
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning. Neural Networks 140 (2021)
Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
Deep adaptive group-based input normalization for financial trading. Pattern Recognit. Lett. 152 (2021)
Nikolaos Passalis, S. Seficha, Avraam Tsantekidis, Anastasios Tefas
Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis. AIAI (2021)
Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization. MLSP (2021)
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Using Deep Learning for price prediction by exploiting stationary limit order book features. Appl. Soft Comput. 93 (2020)
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation. MLSP (2020)
Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. IEEE Access 7 (2019)
Konstantinos Saitas Zarkias, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
Deep Reinforcement Learning for Financial Trading Using Price Trailing. ICASSP (2019)
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Using Deep Learning for price prediction by exploiting stationary limit order book features. CoRR (2018)
Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. CoRR (2018)
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks. CBI (1) (2017)
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Using deep learning to detect price change indications in financial markets. EUSIPCO (2017)
Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Time-series classification using neural Bag-of-Features. EUSIPCO (2017)