Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Konstantinos I. Diamantaras"'
Publikováno v:
Visual Informatics, Vol 4, Iss 1, Pp 32-42 (2020)
The growth rates of today’s societies and the rapid advances in technology have led to the need for access to dynamic, adaptive and personalized information in real time. Augmented reality provides prompt access to rapidly flowing information which
Publikováno v:
ICASSP
In this paper, we propose an energy-efficient radar beampattern design framework for Millimeter Wave (mmWave) massive multi-input multi-output (mMIMO) systems, equipped with a hybrid analog-digital (HAD) beamforming structure. Aiming to reduce the po
Publikováno v:
Expert Systems with Applications. 128:201-213
Fake news has become a problem of great impact in our information driven society because of the continuous and intense fakesters content distribution. Information quality in news feeds is under questionable veracity calling for automated tools to det
Publikováno v:
IEEE Signal Processing Magazine. 36:22-35
Embedded devices, such as programmable logic controllers (PLCs) and Internet of Things (IoT) devices are becoming targets of malware attacks with increasing frequency and catastrophic results. Physical side-channel analysis is one way to monitor a de
Comparison of RNN and Embeddings Methods for Next-item and Last-basket Session-based Recommendations
Autor:
Michail Salampasis, Konstantinos I. Diamantaras, Konstantinos Christantonis, Theodosios Siomos, Alkiviadis Katsalis, Iphigenia Karaveli, Marina Delianidi
Publikováno v:
ICMLC
Recurrent Neural Networks (RNNs) have been shown to perform very effectively in session-based recommendation settings, when compared to other commonly used methods that consider the last viewed item of the user and precomputed item-to-item similariti
Autor:
Marina Delianidi, Theodosios Siomos, Iphigenia Karaveli, Michail Salampasis, Alkiviadis Katsalis, Konstantinos I. Diamantaras
We present a graph-based approach for the data management tasks and the efficient operation of a system for session-based next-item recommendations. The proposed method can collect data continuously and incrementally from an ecommerce web site, thus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::899808798cd07eebad07152f989a810a
Autor:
Marina Delianidi, Theodosios Siomos, Iphigenia Karaveli, George Stalidis, Alkiviadis Katsalis, Konstantinos I. Diamantaras, Pantelis I. Kaplanoglou
Publikováno v:
Data Analysis and Rationality in a Complex World ISBN: 9783030601034
Multidimensional factor and cluster analysis and embedding-based machine learning were evaluated toward a knowledge-based recommendation system for supermarket e-marketing. The goal was to produce personalized notifications on special offers, optimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6fb6d35406fa75c321855af2cf7ce01
https://doi.org/10.1007/978-3-030-60104-1_30
https://doi.org/10.1007/978-3-030-60104-1_30
Publikováno v:
ICASSP
Wireless Autonomous Networks are expected to support communication between a source and a receiver, by constantly self-adapting to changes in their communication environment. This paper considers a scenario of relay beamforming, in which relays colla
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030546229
ADBIS (Short Papers)
ADBIS (Short Papers)
The effectiveness of the k-NN classifier is highly dependent on the value of the parameter k that is chosen in advance and is fixed during classification. Different values are appropriate for different datasets and parameter tuning is usually inevita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c24e511287bc391672a5411d63c1ca6
https://doi.org/10.1007/978-3-030-54623-6_3
https://doi.org/10.1007/978-3-030-54623-6_3