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Ioannis G. Tsoulos and Alexandros Tzallas
Perhaps one of the best-known machine learning models is the artificial neural network, where a number of parameters must be adjusted to learn a wide range of practical problems from areas such as physics, chemistry, medicine, etc. Such problems can be r...
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Mamatjan Abdurxit, Turdi Tohti and Askar Hamdulla
Biomedical entity linking is an important research problem for many downstream tasks, such as biomedical intelligent question answering, information retrieval, and information extraction. Biomedical entity linking is the task of mapping mentions in medic...
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Yunfan Gao, Yun Xiong, Siqi Wang and Haofen Wang
Thanks to the development of geographic information technology, geospatial representation learning based on POIs (Point-of-Interest) has gained widespread attention in the past few years. POI is an important indicator to reflect urban socioeconomic activ...
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Brett Friskney, Panagiotis Alevras, Sourabh Londhe, Stephanos Theodossiades and Donald Michael McFarland
Nonlinear energy sinks (NES) have recently attracted significant interest for the suppression of unwanted vibrations in a variety of mechanical systems. The key advantage in employing this (vibration absorber) approach is the broadband nature of the inte...
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Gabriele Papadia, Massimo Pacella and Vincenzo Giliberti
This paper focuses on the automatic analysis of conversation transcriptions in the call center of a customer care service. The goal is to recognize topics related to problems and complaints discussed in several dialogues between customers and agents. Our...
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