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)

Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading. - Loukia Avramelou; Paraskevi Nousi; Nikolaos Passalis; Stavros Doropoulos; Anastasios Tefas (ICASSP Workshops, 2023)

Using Part-Based Representations for Explainable Deep Reinforcement Learning. - Manos Kirtas; Konstantinos Tsampazis; Loukia Avramelou; Nikolaos Passalis; Anastasios Tefas (PKDD/ECML Workshops (2), 2023)

Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization. - Loukia Avramelou; Nikolaos Passalis; Grigorios Tsoumakas; Anastasios Tefas (SSCI, 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; et al. (CoRR, 2023)

Deep reinforcement learning for financial trading using multi-modal features. - Loukia Avramelou; Paraskevi Nousi; Nikolaos Passalis; Anastasios Tefas (Expert Syst. Appl., 2024)

Sign potential-driven multiplicative optimization for robust deep reinforcement learning. - Loukia Avramelou; Manos Kirtas; Nikolaos Passalis; Anastasios Tefas (Neural Networks, 2025)