|
|
|
|
|
Yilei Wang, Yuelin Hu, Wenliang Xu and Futai Zou
Dark web vendor identification can be seen as an authorship aliasing problem, aiming to determine whether different accounts on different markets belong to the same real-world vendor, in order to locate cybercriminals involved in dark web market transact...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaodong Cui, Zhuofan He, Yangtao Xue, Keke Tang, Peican Zhu and Jing Han
Underwater Acoustic Target Recognition (UATR) plays a crucial role in underwater detection devices. However, due to the difficulty and high cost of collecting data in the underwater environment, UATR still faces the problem of small datasets. Few-shot le...
ver más
|
|
|
|
|
|
|
|
|
|
|
Allam Jaya Prakash, Kiran Kumar Patro, Saunak Samantray, Pawel Plawiak and Mohamed Hammad
An electrocardiogram (ECG) is a unique representation of a person?s identity, similar to fingerprints, and its rhythm and shape are completely different from person to person. Cloning and tampering with ECG-based biometric systems are very difficult. So,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gergely Márk Csányi, Renátó Vági, Andrea Megyeri, Anna Fülöp , Dániel Nagy, János Pál Vadász and István Üveges
Few-shot learning is a deep learning subfield that is the focus of research nowadays. This paper addresses the research question of whether a triplet-trained Siamese network, initially designed for multi-class classification, can effectively handle multi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dominik Stallmann and Barbara Hammer
Novel neural network models that can handle complex tasks with fewer examples than before are being developed for a wide range of applications. In some fields, even the creation of a few labels is a laborious task and impractical, especially for data tha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kyriakos Apostolidis, Christos Kokkotis, Evangelos Karakasis, Evangeli Karampina, Serafeim Moustakidis, Dimitrios Menychtas, Georgios Giarmatzis, Dimitrios Tsiptsios, Konstantinos Vadikolias and Nikolaos Aggelousis
Stroke remains a predominant cause of mortality and disability worldwide. The endeavor to diagnose stroke through biomechanical time-series data coupled with Artificial Intelligence (AI) poses a formidable challenge, especially amidst constrained partici...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maximilian Hoffmann and Ralph Bergmann
Similarity-based retrieval of semantic graphs is a core task of Process-Oriented Case-Based Reasoning (POCBR) with applications in real-world scenarios, e.g., in smart manufacturing. The involved similarity computation is usually complex and time-consumi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dali Liu, Wenhao Shen, Wenjing Cao, Weimin Hou and Baozhu Wang
The acquisition of target data for underwater acoustic target recognition (UATR) is difficult and costly. Although deep neural networks (DNN) have been used in UATR, and some achievements have been made, the performance is not satisfactory when recognizi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yang Zhang, Jin Liu, Bo Huang and Bei Chen
Entity linking plays a fundamental role in knowledge engineering and data mining and is the basis of various downstream applications such as content analysis, relationship extraction, question and answer. Most existing entity linking models rely on suffi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Mostafa Monowar, Md. Abdul Hamid, Faris A. Kateb, Abu Quwsar Ohi and M. F. Mridha
Plant diseases have been one of the most threatening scenarios to farmers. Although most plant diseases can be identified by observing leaves, it often requires human expertise. The recent improvements in computer vision have led to introduce disease cla...
ver más
|
|
|
|
|
|