Zobrazeno 1 - 10
of 620
pro vyhledávání: '"Karakasidis, A."'
Publikováno v:
KDD Undergraduate Consortium 2024
Split Learning has been recently introduced to facilitate applications where user data privacy is a requirement. However, it has not been thoroughly studied in the context of Privacy-Preserving Record Linkage, a problem in which the same real-world e
Externí odkaz:
http://arxiv.org/abs/2409.01088
Autor:
Ravanelli, Mirco, Parcollet, Titouan, Moumen, Adel, de Langen, Sylvain, Subakan, Cem, Plantinga, Peter, Wang, Yingzhi, Mousavi, Pooneh, Della Libera, Luca, Ploujnikov, Artem, Paissan, Francesco, Borra, Davide, Zaiem, Salah, Zhao, Zeyu, Zhang, Shucong, Karakasidis, Georgios, Yeh, Sung-Lin, Champion, Pierre, Rouhe, Aku, Braun, Rudolf, Mai, Florian, Zuluaga-Gomez, Juan, Mousavi, Seyed Mahed, Nautsch, Andreas, Liu, Xuechen, Sagar, Sangeet, Duret, Jarod, Mdhaffar, Salima, Laperriere, Gaelle, Rouvier, Mickael, De Mori, Renato, Esteve, Yannick
SpeechBrain is an open-source Conversational AI toolkit based on PyTorch, focused particularly on speech processing tasks such as speech recognition, speech enhancement, speaker recognition, text-to-speech, and much more. It promotes transparency and
Externí odkaz:
http://arxiv.org/abs/2407.00463
Publikováno v:
AppliedMath, Vol 4, Iss 3, Pp 1012-1046 (2024)
This study investigates the time-series behavior of vegetable prices in the Central Market of Thessaloniki, Greece, using Recurrence Plot (RP) analysis and Recurrence Quantification Analysis (RQA), which considers non-linearities and does not necessi
Externí odkaz:
https://doaj.org/article/ca6855dd3c944827a0c13655fd278e02
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-15 (2024)
Abstract Motivated by the significance and complexity of exploring spatiotemporal patterns - regions within an urban environment, particularly in the context of extreme heat events- this research analyzes meteorological time series through complex ne
Externí odkaz:
https://doaj.org/article/6e2b870dbf1e48c9a91cd990404c6a3a
Autor:
Georgios Vontzos, Vasileios Laitsos, Avraam Charakopoulos, Dimitrios Bargiotas, Theodoros E. Karakasidis
Publikováno v:
Dynamics, Vol 4, Iss 2, Pp 337-356 (2024)
Buildings are responsible for around 30% and 42% of the consumed energy at the global and European levels, respectively. Accurate building power consumption estimation is crucial for resource saving. This research investigates the combination of grap
Externí odkaz:
https://doaj.org/article/ab014e2d46894ad08028ad839c79965f
Publikováno v:
Financial Innovation, Vol 10, Iss 1, Pp 1-26 (2024)
Abstract In this paper, we compare the dynamics of the growth rates of the original Divisia monetary aggregates, the credit card-augmented Divisia monetary aggregates, and the credit card-augmented Divisia inside monetary aggregates. This analysis is
Externí odkaz:
https://doaj.org/article/37cd051bdea74ebfbd41cacebf73bf17
It is common knowledge that the quantity and quality of the training data play a significant role in the creation of a good machine learning model. In this paper, we take it one step further and demonstrate that the way the training examples are arra
Externí odkaz:
http://arxiv.org/abs/2208.05782
Publikováno v:
In Speech Communication September 2024 163
Autor:
Tsoutsoumanos, E., Karakasidis, T., Laskaris, N., Konstantinidis, P.G., Polymeris, G.S., Kitis, G.
Publikováno v:
In Materials Research Bulletin February 2024 170
The successful application of machine learning (ML) methods becomes increasingly dependent on their interpretability or explainability. Designing explainable ML systems is instrumental to ensuring transparency of automated decision-making that target
Externí odkaz:
http://arxiv.org/abs/2009.01492