Zobrazeno 1 - 10
of 4 219
pro vyhledávání: '"P, Manos"'
Advances in tracking technologies have spurred the rapid growth of large-scale trajectory data. Building a compact collection of pathlets, referred to as a trajectory pathlet dictionary, is essential for supporting mobility-related applications. Exis
Externí odkaz:
http://arxiv.org/abs/2412.03715
Autor:
Manos, Anastasios, Filipidou, Despina Elisabeth, Deliyannis, Ioannis, Pavlidis, Nikolaos, Argyros, Vasilis, Mazi, Ioanna
This work presents a personalized travel recommendation system developed as part of the INDIANA platform, designed to enhance the tourist experience through tailored activity suggestions, by leveraging data from wearable devices, user preferences, cu
Externí odkaz:
http://arxiv.org/abs/2411.12227
Autor:
Wang, Junchang, Athanassoulis, Manos
Bitmap indexes are widely used for read-intensive analytical workloads because they are clustered and offer efficient reads with a small memory footprint. However, they are notoriously inefficient to update. As analytical applications are increasingl
Externí odkaz:
http://arxiv.org/abs/2410.16929
Infectious diseases occur when pathogens from other individuals or animals infect a person, resulting in harm to both individuals and society as a whole. The outbreak of such diseases can pose a significant threat to human health. However, early dete
Externí odkaz:
http://arxiv.org/abs/2410.17290
Autor:
Konti, Xenia, Riess, Hans, Giannopoulos, Manos, Shen, Yi, Pencina, Michael J., Economou-Zavlanos, Nicoleta J., Zavlanos, Michael M.
In this paper, we address the challenge of heterogeneous data distributions in cross-silo federated learning by introducing a novel algorithm, which we term Cross-silo Robust Clustered Federated Learning (CS-RCFL). Our approach leverages the Wasserst
Externí odkaz:
http://arxiv.org/abs/2410.07039
In computer graphics (CG) education, the challenge of finding modern, versatile tools is significant, particularly when integrating both legacy and advanced technologies. Traditional frameworks, often reliant on solid, yet outdated APIs like OpenGL,
Externí odkaz:
http://arxiv.org/abs/2409.16724
Publikováno v:
2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Abu Dhabi, United Arab Emirates, 2024, pp. 339-346
Multicopter drones are becoming a key platform in several application domains, enabling precise on-the-spot sensing and/or actuation. We focus on the case where the drone must process the sensor data in order to decide, depending on the outcome, whet
Externí odkaz:
http://arxiv.org/abs/2409.04764
Recent advances in Diffusion Models (DMs) have led to significant progress in visual synthesis and editing tasks, establishing them as a strong competitor to Generative Adversarial Networks (GANs). However, the latent space of DMs is not as well unde
Externí odkaz:
http://arxiv.org/abs/2408.16845
Online conversations are particularly susceptible to derailment, which can manifest itself in the form of toxic communication patterns including disrespectful comments and abuse. Forecasting conversation derailment predicts signs of derailment in adv
Externí odkaz:
http://arxiv.org/abs/2408.13440
Autor:
Kirtas, Manos, Tsampazis, Konstantinos, Avramelou, Loukia, Passalis, Nikolaos, Tefas, Anastasios
Utilizing deep learning models to learn part-based representations holds significant potential for interpretable-by-design approaches, as these models incorporate latent causes obtained from feature representations through simple addition. However, t
Externí odkaz:
http://arxiv.org/abs/2408.11455