Hajek, Petr Barushka, Aliaksandr Munk, Michal
Published in
International journal of neural systems
Automated sentiment analysis is becoming increasingly recognized due to the growing importance of social media and e-commerce platform review websites. Deep neural networks outperform traditional lexicon-based and machine learning methods by effectively exploiting contextual word embeddings to generate dense document representation. However, this r...
Fu, Rongrong Han, Mengmeng Bao, Tiantian Wang, Fuwang Shi, Peiming
Published in
International journal of neural systems
Subjective effort can significantly affect the ability of humans to act optimally in dynamic manipulation tasks. In a previous study, we designed a complex object coupling manipulation task that required tight performance and induced high cognitive workload. We hypothesize that strong-effort-related physiological reactivity during the dynamic manip...
Gheorghe, Marian Neri, Ferrante Zhang, Gexiang
Published in
International journal of neural systems
Nourani, Mehrdad
Published in
International journal of neural systems
Soekadar, Surjo R
Published in
International journal of neural systems
Zhang, Yanli Yang, Rendi Zhou, Weidong
Published in
International journal of neural systems
To identify precursors of epileptic seizures, an EEG characteristic analysis is carried out based on a roughness-length method, where fractal dimensions and intercept values are extracted to measure the structure complexity and the amplitude roughness of EEG signals in different phases. Using the significant changes of the fractal dimension and int...
Murase, Kazuyuki
Published in
International journal of neural systems
Avola, Danilo Cascio, Marco Cinque, Luigi Fagioli, Alessio Foresti, Gian Luca
Published in
International journal of neural systems
Deception detection is a relevant ability in high stakes situations such as police interrogatories or court trials, where the outcome is highly influenced by the interviewed person behavior. With the use of specific devices, e.g. polygraph or magnetic resonance, the subject is aware of being monitored and can change his behavior, thus compromising ...
Orellana-Martín, David Martínez-Del-Amor, Miguel Á Valencia-Cabrera, Luis Pérez-Hurtado, Ignacio Riscos-Núñez, Agustín Pérez-Jiménez, Mario J
Published in
International journal of neural systems
Dendrite P systems (DeP systems) are a recently introduced neural-like model of computation. They provide an alternative to the more classical spiking neural (SN) P systems. In this paper, we present the first software simulator for DeP systems, and we investigate the key features of the representation of the syntax and semantics of such systems. F...
Morabito, Francesco Carlo
Published in
International journal of neural systems
