Loukia Avramelou

According to our database, Loukia Avramelou authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep reinforcement learning for financial trading using multi-modal features.

Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas

Expert Syst. Appl., March, 2024

2023

Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management.

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

CoRR, 2023

Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization.

Loukia Avramelou, Nikolaos Passalis, Grigorios Tsoumakas, Anastasios Tefas

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Using Part-Based Representations for Explainable Deep Reinforcement Learning.

Manos Kirtas, Konstantinos Tsampazis, Loukia Avramelou, Nikolaos Passalis, Anastasios Tefas

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading.

Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Stavros Doropoulos, Anastasios Tefas

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning.

Nikolaos Passalis, Loukia Avramelou, Solon Seficha, Avraam Tsantekidis, Stavros Doropoulos, Giorgos Makris, Anastasios Tefas

Neural Comput. Appl., 2022