Avraam Tsantekidis

21 papers C 1Misc 3Journal 11Unranked 5

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