![](https://dblp.uni-trier.de/img/logo.320x120.png)
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Avraam Tsantekidis
Person information
SPARQL queries ![](https://dblp.uni-trier.de/img/new.blue.24x12.png)
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2021
- [b1]Avraam Tsantekidis:
Deep learning techniques for financial data. Aristotle University Of Thessaloniki, Greece, 2021
Journal Articles
- 2023
- [j8]Avraam Tsantekidis
, Nikolaos Passalis
, Anastasios Tefas:
Modeling limit order trading with a continuous action policy for deep reinforcement learning. Neural Networks 165: 506-515 (2023) - 2022
- [j7]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): 19441-19452 (2022) - 2021
- [j6]Avraam Tsantekidis
, Anastasios Tefas
:
Transferring trading strategy knowledge to deep learning models. Knowl. Inf. Syst. 63(1): 87-104 (2021) - [j5]Avraam Tsantekidis
, Nikolaos Passalis
, Anastasios Tefas
:
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning. Neural Networks 140: 193-202 (2021) - [j4]Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
:
Deep adaptive group-based input normalization for financial trading. Pattern Recognit. Lett. 152: 413-419 (2021) - [j3]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): 2837-2846 (2021) - 2020
- [j2]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: 106401 (2020) - 2019
- [j1]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: 64722-64736 (2019)
Conference and Workshop Papers
- 2022
- [c9]Georgios Panagiotatos, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
:
Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability. ICASSP 2022: 3898-3902 - [c8]Pavlos Floratos, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
:
Online Knowledge Distillation for Financial Timeseries Forecasting. INISTA 2022: 1-6 - 2021
- [c7]Nikolaos Passalis, Solon Seficha, Avraam Tsantekidis, Anastasios Tefas
:
Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis. AIAI 2021: 757-766 - [c6]Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
:
Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization. MLSP 2021: 1-6 - 2020
- [c5]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
:
Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation. MLSP 2020: 1-6 - 2019
- [c4]Konstantinos Saitas Zarkias
, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
:
Deep Reinforcement Learning for Financial Trading Using Price Trailing. ICASSP 2019: 3067-3071 - 2017
- [c3]Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
, Juho Kanniainen, Moncef Gabbouj
, Alexandros Iosifidis
:
Time-series classification using neural Bag-of-Features. EUSIPCO 2017: 301-305 - [c2]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: 2511-2515 - [c1]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: 7-12
Informal and Other Publications
- 2023
- [i3]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 abs/2309.16679 (2023) - 2018
- [i2]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 abs/1809.07861 (2018) - [i1]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 abs/1810.09965 (2018)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-15 01:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint