A Reweighted Scheme to Improve the Representation of the Neural Autoregressive Distribution Estimator.

abstract：:Increasing population age demands more services in healthcare domain. It has been shown that mobile robots could be a potential solution to home biomonitoring for the elderly. Through our previous studies, a mobile robot system that is able to track a subject and identify his daily living activities has been developed...

journal_title：Computational intelligence and neuroscience

authors： Dorronzoro Zubiete E,Nakahata K,Imamoglu N,Sekine M,Sun G,Gomez I,Yu W

更新日期：2016-01-01 00:00:00

abstract：:Reservoirs are important for households and impact the national economy. This paper proposed a time-series forecasting model based on estimating a missing value followed by variable selection to forecast the reservoir's water level. This study collected data from the Taiwan Shimen Reservoir as well as daily atmospheri...

journal_title：Computational intelligence and neuroscience

authors： Yang JH,Cheng CH,Chan CP

更新日期：2017-01-01 00:00:00

abstract：:Rehabilitation training is essential for motor dysfunction patients, and the training through their subjective motion intention, comparing to passive training, is more conducive to rehabilitation. This study proposes a method to identify motion intention of different walking states under the normal environment, by usi...

journal_title：Computational intelligence and neuroscience

authors： Jin H,Li C,Xu J

更新日期：2018-10-17 00:00:00

abstract：:Characterization of air traffic controllers' (ATCs') visual scanning strategies is a challenging issue due to the dynamic movement of multiple aircraft and increasing complexity of scanpaths (order of eye fixations and saccades) over time. Additionally, terminologies and methods are lacking to accurately characterize ...

journal_title：Computational intelligence and neuroscience

authors： McClung SN,Kang Z

更新日期：2016-01-01 00:00:00

abstract：:Design concepts and algorithms were developed to address the eye tracking analysis issues that arise when (1) participants interrogate dynamic multielement objects that can overlap on the display and (2) visual angle error of the eye trackers is incapable of providing exact eye fixation coordinates. These issues were ...

journal_title：Computational intelligence and neuroscience

authors： Kang Z,Mandal S,Crutchfield J,Millan A,McClung SN

更新日期：2016-01-01 00:00:00

abstract：:The integration of machine learning techniques and metaheuristic algorithms is an area of interest due to the great potential for applications. In particular, using these hybrid techniques to solve combinatorial optimization problems (COPs) to improve the quality of the solutions and convergence times is of great inte...

journal_title：Computational intelligence and neuroscience

authors： García J,Moraga P,Valenzuela M,Crawford B,Soto R,Pinto H,Peña A,Altimiras F,Astorga G

更新日期：2019-09-16 00:00:00

abstract：:The process of creating nonphotorealistic rendering images and animations can be enjoyable if a useful method is involved. We use an evolutionary algorithm to generate painterly styles of images. Given an input image as the reference target, a cloud model-based evolutionary algorithm that will rerender the target imag...

journal_title：Computational intelligence and neuroscience

authors： Wu T

更新日期：2018-02-19 00:00:00

abstract：:Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data can be employed as an exploratory method. The lack in the ICA model of strong a priori assumptions about the signal or about the noise leads to difficult interpretations of the results. Moreover, the statistical independence of t...

journal_title：Computational intelligence and neuroscience

authors： Vanello N,Ricciardi E,Landini L

更新日期：2016-01-01 00:00:00

abstract：:In recent years the spatial resolutions of remote sensing images have been improved greatly. However, a higher spatial resolution image does not always lead to a better result of automatic scene classification. Visual attention is an important characteristic of the human visual system, which can effectively help to cl...

journal_title：Computational intelligence and neuroscience

authors： Li L,Xu T,Chen Y

更新日期：2017-01-01 00:00:00

abstract：:To improve the classification performance of imbalanced learning, a novel oversampling method, immune centroids oversampling technique (ICOTE) based on an immune network, is proposed. ICOTE generates a set of immune centroids to broaden the decision regions of the minority class space. The representative immune centro...

journal_title：Computational intelligence and neuroscience

authors： Ai X,Wu J,Sheng VS,Zhao P,Cui Z

更新日期：2015-01-01 00:00:00

abstract：:Network embedding (NE), which maps nodes into a low-dimensional latent Euclidean space to represent effective features of each node in the network, has obtained considerable attention in recent years. Many popular NE methods, such as DeepWalk, Node2vec, and LINE, are capable of handling homogeneous networks. However, ...

journal_title：Computational intelligence and neuroscience

authors： Zhuo W,Zhan Q,Liu Y,Xie Z,Lu J

更新日期：2019-08-21 00:00:00

abstract：:One important objective of urban traffic signal control is to reduce individual delay and improve safety for travelers in both private car and public bus transit. To achieve signal control optimization from the perspective of all users, this paper proposes a platoon-based adaptive signal control (PASC) strategy to pro...

journal_title：Computational intelligence and neuroscience

authors： Li N,Chen S,Zhu J,Sun DJ

更新日期：2020-06-01 00:00:00

abstract：:Ant Colony Optimization (ACO) has been successfully applied to solve a wide range of combinatorial optimization problems such as minimum spanning tree, traveling salesman problem, and quadratic assignment problem. Basic ACO has drawbacks of trapping into local minimum and low convergence rate. Simulated annealing (SA)...

journal_title：Computational intelligence and neuroscience

authors： Mohsen AM

更新日期：2016-01-01 00:00:00

abstract：:The use of intelligent judgment technology to assist in judgment is an inevitable trend in the development of judgment in contemporary social legal cases. Using big data and artificial intelligence technology to accurately determine multiple accusations involved in legal cases is an urgent problem to be solved in lega...

journal_title：Computational intelligence and neuroscience

authors： Guo X,Zhang H,Ye L,Li S

更新日期：2019-07-07 00:00:00

abstract：:This paper presents the use of linear and nonlinear multivariable models as tools to support training process of race walkers. These models are calculated using data collected from race walkers' training events and they are used to predict the result over a 3 km race based on training loads. The material consists of 1...

journal_title：Computational intelligence and neuroscience

authors： Wiktorowicz K,Przednowek K,Lassota L,Krzeszowski T

更新日期：2015-01-01 00:00:00

abstract：:Lithium-ion batteries are widely used in many electronic systems. Therefore, it is significantly important to estimate the lithium-ion battery's remaining useful life (RUL), yet very difficult. One important reason is that the measured battery capacity data are often subject to the different levels of noise pollution....

journal_title：Computational intelligence and neuroscience

authors： Zhang C,He Y,Yuan L,Xiang S,Wang J

更新日期：2015-01-01 00:00:00

abstract：:As one of the most important urban commuter transportation modes, urban rail transit (URT) has been acting as a key solution for supporting mobility needs in high-density urban areas. However, in recent years, high frequency of unexpected events has caused serious service disruptions in URT system, greatly harming pas...

journal_title：Computational intelligence and neuroscience

authors： Wang Y,Yan X,Zhou Y,Wang J,Chen S

更新日期：2014-01-01 00:00:00

abstract：:The purpose of this research is to analyse the relationship between nonlinear dynamic character and individuals' standing balance by the largest Lyapunov exponent, which is regarded as a metric for assessing standing balance. According to previous study, the largest Lyapunov exponent from centre of pressure time serie...

journal_title：Computational intelligence and neuroscience

authors： Liu K,Wang H,Xiao J,Taha Z

更新日期：2015-01-01 00:00:00

abstract：:With the development of society, more and more attention has been paid to cultural festivals. In addition to the government's emphasis, the increasing consumption in festivals also proves that cultural festivals are playing increasingly important role in public life. Therefore, it is very vital to grasp the public fes...

journal_title：Computational intelligence and neuroscience

authors： Yuan H,Song Y,Hu J,Ma Y

更新日期：2020-08-07 00:00:00

abstract：:Electroencephalograms (EEG) signals are of interest because of their relationship with physiological activities, allowing a description of motion, speaking, or thinking. Important research has been developed to take advantage of EEG using classification or predictor algorithms based on parameters that help to describe...

journal_title：Computational intelligence and neuroscience

authors： Aguilar Cruz KA,Zagaceta Álvarez MT,Palma Orozco R,Medel Juárez JJ

更新日期：2018-01-15 00:00:00

abstract：:A gaze estimation system is one of the communication methods for severely disabled people who cannot perform gestures and speech. We previously developed an eye tracking method using a compact and light electrooculogram (EOG) signal, but its accuracy is not very high. In the present study, we conducted experiments to ...

journal_title：Computational intelligence and neuroscience

authors： Sakurai K,Yan M,Tanno K,Tamura H

更新日期：2017-01-01 00:00:00

abstract：:We propose a biologically motivated brain-inspired single neuron perceptron (SNP) with universal approximation and XOR computation properties. This computational model extends the input pattern and is based on the excitatory and inhibitory learning rules inspired from neural connections in the human brain's nervous sy...

journal_title：Computational intelligence and neuroscience

authors： Lotfi E,Akbarzadeh-T MR

更新日期：2014-01-01 00:00:00

abstract：:Since real-world data sets usually contain large instances, it is meaningful to develop efficient and effective multiple instance learning (MIL) algorithm. As a learning paradigm, MIL is different from traditional supervised learning that handles the classification of bags comprising unlabeled instances. In this paper...

journal_title：Computational intelligence and neuroscience

authors： Wang J,Cai L,Peng J,Jia Y

更新日期：2015-01-01 00:00:00

abstract：:Long and tedious calibration time hinders the development of motor imagery- (MI-) based brain-computer interface (BCI). To tackle this problem, we use a limited labelled set and a relatively large unlabelled set from the same subject for training based on the transductive support vector machine (TSVM) framework. We fi...

journal_title：Computational intelligence and neuroscience

authors： Xu Y,Hua J,Zhang H,Hu R,Huang X,Liu J,Guo F

更新日期：2019-11-25 00:00:00

abstract：:Manual annotation of sentiment lexicons costs too much labor and time, and it is also difficult to get accurate quantification of emotional intensity. Besides, the excessive emphasis on one specific field has greatly limited the applicability of domain sentiment lexicons (Wang et al., 2010). This paper implements stat...

journal_title：Computational intelligence and neuroscience

authors： Yang X,Zhang Z,Zhang Z,Mo Y,Li L,Yu L,Zhu P

更新日期：2016-01-01 00:00:00

abstract：:We present an ambulatory cognitive state classification system to assess the subject's mental load based on EEG measurements. The ambulatory cognitive state estimator is utilized in the context of a real-time augmented cognition (AugCog) system that aims to enhance the cognitive performance of a human user through com...

journal_title：Computational intelligence and neuroscience

authors： Lan T,Erdogmus D,Adami A,Mathan S,Pavel M

更新日期：2007-01-01 00:00:00

abstract：:Recent technological advances have enabled researchers to collect large amounts of electroencephalography (EEG) signals in labeled and unlabeled datasets. It is expensive and time consuming to collect labeled EEG data for use in brain-computer interface (BCI) systems, however. In this paper, a novel active learning me...

journal_title：Computational intelligence and neuroscience

authors： She Q,Chen K,Luo Z,Nguyen T,Potter T,Zhang Y

更新日期：2020-03-10 00:00:00

abstract：:Ways to estimate the time-to-collision are explored. In the context of traffic simulation models, classical lane-based notions of vehicle location are relaxed and new, fast, and efficient algorithms are examined. With trajectory conflicts being the main focus, computational procedures are explored which use a two-dime...

journal_title：Computational intelligence and neuroscience

authors： Hou J,List GF,Guo X

更新日期：2014-01-01 00:00:00

abstract：:This study aimed to determine the effect of liraglutide pretreatment and to elucidate the mechanism of nuclear factor erythroid 2-related factor (Nrf2)/heme oxygenase-1 (HO-1) signaling after focal cerebral ischemia injury in diabetic rats model. Adult male Sprague-Dawley rats were randomly divided into the sham-opera...

journal_title：Computational intelligence and neuroscience

authors： Deng C,Cao J,Han J,Li J,Li Z,Shi N,He J

更新日期：2018-02-12 00:00:00

abstract：:The motor clinical hallmarks of Parkinson's disease (PD) are usually quantified by physicians using validated clinimetric scales such as the Unified Parkinson's Disease Rating Scale (MDS-UPDRS). However, clinical ratings are prone to subjectivity and inter-rater variability. The PD medical community is therefore looki...

journal_title：Computational intelligence and neuroscience

authors： Stamatakis J,Ambroise J,Crémers J,Sharei H,Delvaux V,Macq B,Garraux G

更新日期：2013-01-01 00:00:00