Zobrazeno 1 - 10
of 11 363
pro vyhledávání: '"A. Dimitriou"'
Autor:
Kaleris, Konstantinos, Kaselouris, Evaggelos, Dimitriou, Vasilios, Kaniolakis-Kaloudis, Emmanouil, Bakarezos, Makis, Tatarakis, Michael, Papadogiannis, Nektarios A., Sushko, Gennady B., Korol, Andrei V., Solov'yov, Andrey V.
In this paper we present a novel scheme for the controlled generation of of tunable narrowband gamma-ray radiation by ultra-relativistic positron beams inside acoustically driven periodically bent crystals. A novel acoustic crystalline undulator is p
Externí odkaz:
http://arxiv.org/abs/2410.11621
Autor:
Argyrou, Georgia, Dimitriou, Angeliki, Lymperaiou, Maria, Filandrianos, Giorgos, Stamou, Giorgos
Despite the rapid evolution and increasing efficacy of language and vision generative models, there remains a lack of comprehensive datasets that bridge the gap between personalized fashion needs and AI-driven design, limiting the potential for truly
Externí odkaz:
http://arxiv.org/abs/2409.06442
We consider the one-dimensional outer stochastic Stefan problem with reflection which models the short-time prediction of the price or spread of one volatile asset traded in a financial market. The problem admits maximal solutions as long as the velo
Externí odkaz:
http://arxiv.org/abs/2407.20389
Autor:
Argyrou, Georgia, Dimitriou, Angeliki, Lymperaiou, Maria, Filandrianos, Giorgos, Stamou, Giorgos
Publikováno v:
ECCVW 2024
The advent of artificial intelligence has contributed in a groundbreaking transformation of the fashion industry, redefining creativity and innovation in unprecedented ways. This work investigates methodologies for generating tailored fashion descrip
Externí odkaz:
http://arxiv.org/abs/2407.14944
Bridging the gap between internal and external validity is crucial for heterogeneous treatment effect estimation. Randomised controlled trials (RCTs), favoured for their internal validity due to randomisation, often encounter challenges in generalisi
Externí odkaz:
http://arxiv.org/abs/2405.20957
Autor:
Dimitriou, Ioannis
In this work, we study Markov-dependent reflected autoregressive processes. In queueing terms, such processes describe the workload just before a customer arrival, which makes obsolete a fraction of the work already present, and where the interarriva
Externí odkaz:
http://arxiv.org/abs/2404.10361
Autor:
Mitsios, Michael, Vamvoukakis, Georgios, Maniati, Georgia, Ellinas, Nikolaos, Dimitriou, Georgios, Markopoulos, Konstantinos, Kakoulidis, Panos, Vioni, Alexandra, Christidou, Myrsini, Oh, Junkwang, Jho, Gunu, Hwang, Inchul, Vardaxoglou, Georgios, Chalamandaris, Aimilios, Tsiakoulis, Pirros, Raptis, Spyros
Emotion detection in textual data has received growing interest in recent years, as it is pivotal for developing empathetic human-computer interaction systems. This paper introduces a method for categorizing emotions from text, which acknowledges and
Externí odkaz:
http://arxiv.org/abs/2404.01805
Autor:
Dimitriou, Angeliki, Lymperaiou, Maria, Filandrianos, Giorgos, Thomas, Konstantinos, Stamou, Giorgos
Publikováno v:
ICML 2024
Counterfactual explanations (CEs) based on concepts are explanations that consider alternative scenarios to understand which high-level semantic features contributed to particular model predictions. In this work, we propose CEs based on the semantic
Externí odkaz:
http://arxiv.org/abs/2403.06514
Autor:
Dimitriou, Ioannis
In this work, we consider extensions of the dual risk model with proportional gains by introducing a dependence structure between gain sizes and gain interrarrival times. Among others, we further consider the case where the proportional parameter is
Externí odkaz:
http://arxiv.org/abs/2402.12178
Autor:
Montanari, C. C., Dimitriou, P., Marian, L., Mendez, A. M. P., Peralta, J. P., Bivort-Haiek, F.
We review the electronic stopping power data within the IAEA database, assessing the abundance and scarcity of available data as a function of energy and collisional systems. Our analysis includes an examination of the experimental values, their evol
Externí odkaz:
http://arxiv.org/abs/2402.03080