1 code implementation • 12 Apr 2023 • Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
The widespread adoption of Large Language Models and publicly available ChatGPT has marked a significant turning point in the integration of Artificial Intelligence into people's everyday lives.
1 code implementation • 25 Aug 2022 • Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Spiros V. Georgakopoulos
It turned out that this methodology can also be greatly beneficial in enforcing explainability of deep learning architectures.
no code implementations • 3 Dec 2020 • Panagiotis Anagnostou, Petros T. Barmbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
Regarding the classification process for scRNA-seq data, an appropriate method is the k Nearest Neighbor (kNN) classifier since it is usually utilized for large-scale prediction tasks due to its simplicity, minimal parameterization, and model-free nature.
no code implementations • 2 Apr 2018 • Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Given the fact that Twitter messages are generated constantly with dizzying rates, a huge volume of streaming data is created, thus there is an imperative need for accurate methods for knowledge discovery and mining of this information.
1 code implementation • 27 Feb 2018 • Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
To justify this decision we choose to compare CNNs against the traditional bag-of-words approach for text analysis combined with a selection of algorithms proven to be very effective in text classification.
no code implementations • 15 Jul 2015 • Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
Associating distinct groups of objects (clusters) with contiguous regions of high probability density (high-density clusters), is central to many statistical and machine learning approaches to the classification of unlabelled data.