output
20052026
most citedTransforming Sentiment Analysis in the Financial Domain with ChatGPT

178 citations

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6 papers · 1 filter

cs.LG2026★ 8 cited

Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models

Georgios Makridis, Georgios Fatouros, Athanasios Kiourtis +4

In this paper, we present a comprehensive framework for assessing the explainability of various XAI methods, such as LIME and SHAP, across multiple datasets and machine learning mo…

cs.LG2024★ 18 cited

An evaluation framework for synthetic data generation models

Ioannis E. Livieris, Nikos Alimpertis, George Domalis +1

Nowadays, the use of synthetic data has gained popularity as a cost-efficient strategy for enhancing data augmentation for improving machine learning models performance as well as…

cs.LG2023★ 158 cited

Explainable Deep Reinforcement Learning: State of the Art and Challenges

George A. Vouros

Interpretability, explainability and transparency are key issues to introducing Artificial Intelligence methods in many critical domains: This is important due to ethical concerns…

cs.LG2021★ 2 cited

Online Co-movement Pattern Prediction in Mobility Data

Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis +1

Predictive analytics over mobility data are of great importance since they can assist an analyst to predict events, such as collisions, encounters, traffic jams, etc. A typical exa…

cs.LG2016★ 13 cited

Online Learning of Event Definitions

Nikos Katzouris, Alexander Artikis, Georgios Paliouras

Systems for symbolic event recognition infer occurrences of events in time using a set of event definitions in the form of first-order rules. The Event Calculus is a temporal logic…

cs.LG2014★ 5 cited

Incremental Learning of Event Definitions with Inductive Logic Programming

Nikos Katzouris, Alexander Artikis, George Paliouras

Event recognition systems rely on properly engineered knowledge bases of event definitions to infer occurrences of events in time. The manual development of such knowledge is a ted…