Loukia Avramelou

According to our database, Loukia Avramelou authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

Non-Negative Gated Recurrent Neural Networks.

Loukia Avramelou, Manos Kirtas, Nikolaos Passalis, Nikolaos Pleros, Anastasios Tefas

IEEE Trans. Emerg. Top. Comput. Intell., June, 2026

Neuromorphic photonic neural networks for on-chip gas spectra classification.

Loukia Avramelou, Manos Kirtas, Odysseas Asimopoulos, Theodoros Moschos, Antonios Prapas, Georgios Tsamis, Apostolos Tsakyridis, Miltiadis Moralis-Pegios, Aitor V. Velasco, Irene Olivares, Carlos Alonso-Ramos, Sara Toxqui Rodríguez, Nikolaos Passalis, Nikolaos Pleros, Anastasios Tefas

Appl. Soft Comput., 2026

Photonic Deep Learning using in-situ optical backpropagation for training photonic linear neural layers.

Odysseas Asimopoulos, Stefanos Kovaios, Apostolos Tsakyridis, Miltiadis Moralis-Pegios, Loukia Avramelou, Nikolaos Passalis, Anastasios Tefas, K. Vyrsokinos, Nikos Pleros

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2026

2025

Sign potential-driven multiplicative optimization for robust deep reinforcement learning.

Loukia Avramelou, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas

Neural Networks, 2025

Expert-Guided Deep Reinforcement Learning for Autonomous Financial Asset Trading.

Ioannis Drossas, Loukia Avramelou, Nikolaos Passalis, Anastasios Tefas

Proceedings of the 16th International Conference on Information, 2025

Model Merging for Deep Reinforcement Learning in Autonomous Financial Trading Systems.

Loukia Avramelou, Dimitrios Litsidis, Nikolaos Passalis, Anastasios Tefas

Proceedings of the 16th International Conference on Information, 2025

Robust Robotic Perception Using Adaptive Multiplicative Optimization for Deep Reinforcement Learning.

Loukia Avramelou, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas

Proceedings of the 16th International Conference on Information, 2025

Integrating Contractive Loss in Proximal Policy Optimization for Robust Decision-Making.

Michail Dadopoulos, Loukia Avramelou, Nikolaos Passalis, Anastasios Tefas

Proceedings of the 33rd European Signal Processing Conference, 2025

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