the proceedings contain 45 papers. the special focus in this conference is on machinelearning and cybernetics. the topics include: Combining classifiers based on Gaussian mixture model approach to ensemble data;a com...
ISBN:
(纸本)9783662456514
the proceedings contain 45 papers. the special focus in this conference is on machinelearning and cybernetics. the topics include: Combining classifiers based on Gaussian mixture model approach to ensemble data;a computer-aided system for classification of breast tumors in ultrasound images via biclustering learning;classification based on lower integral and extreme learningmachine;user input classification for Chinese question answering system;comparative analysis of density estimation based kernel regression;a Hough transform based biclustering algorithm for gene expression data;user behavior research based on big data;a heterogeneous graph model for social opinion detection;a causative attack against semi-supervised learning;monotonic decision tree for interval valued data;parallel ordinal decision tree algorithm and its implementation in framework of mapreduce;an improved iterative closest point algorithm for rigid point registration;learning behaviour for service personalisation and adaptation;extraction of class attributes from online encyclopedias;a two-phase RBF-ELM learning algorithm;an improved method for semantic similarity calculation based on stop-words;image segmentation based on graph-cut models and probabilistic graphical models;extreme learningmachine for interval-valued data;surface electromyography time series analysis for regaining the intuitive grasping capability after thumb amputation and an improved reject on negative impact defense.
the proceedings contain 91 papers. the topics discussed include: applications of machinelearning techniques in genetic circuit design;efficient domain-specific news push service using deep learning based text regress...
ISBN:
(纸本)9781450389310
the proceedings contain 91 papers. the topics discussed include: applications of machinelearning techniques in genetic circuit design;efficient domain-specific news push service using deep learning based text regression without users’ information;online optimal investment portfolio model based on deep reinforcement learning;research on flow classification model based on similarity and machinelearning algorithm;factors affecting accuracy of genotype imputation using neural networks in deep learning;algorithmic generation of positive samples for compound-target interaction prediction;using deep learning to construct auto web penetration test;acoustic classification of bird species using wavelets and learning algorithms;and an enhanced adaptive large neighborhood search algorithm for the capacitated vehicle routing problem.
the proceedings contain 105 papers. the topics discussed include: Arctic Sea ice extent forecasting using support vector regression;budgeted learning for developing personalized treatment;modeling mutual information b...
ISBN:
(纸本)9781479974153
the proceedings contain 105 papers. the topics discussed include: Arctic Sea ice extent forecasting using support vector regression;budgeted learning for developing personalized treatment;modeling mutual information between voiceprint and optimal number of Mel-frequency cepstral coefficients in voice discrimination;high precision screening for android malware with dimensionality reduction;a hybrid genetic-programming swarm-optimization approach for examining the nature and stability of high frequency trading strategies;Bayesian nonparametric inverse reinforcement learning for switched Markov decision processes;varying coefficient models for analyzing the effects of risk factors on pregnant women's blood pressure;and ensemble statistical and heuristic models for unsupervised word alignment.
the proceedings contain 50 papers. the topics discussed include: imagined speech and visual imagery as intuitive paradigms for brain-computer interfaces;dynamic neural communication: convergence of computer vision and...
ISBN:
(纸本)9798331521929
the proceedings contain 50 papers. the topics discussed include: imagined speech and visual imagery as intuitive paradigms for brain-computer interfaces;dynamic neural communication: convergence of computer vision and brain-computer interface;imagined speech state classification for robust brain-computer interface;a novel channel selection method for near-infrared spectroscopy-based brain-computer interfaces;towards a network expansion approach for reliable brain-computer interface;designing an architecture for a brain-computer interface operating system: addressing neural input complexity;neurophysiological analysis in motor and sensory cortices for improving motor imagination;and towards unified neural decoding of perceived, spoken and imagined speech from EEG signals.
EEG data classification is a difficult task, especially when it comes to classifying between different individuals or different sessions. In these cases, it is necessary to use a so-called Domain Adaptation technique,...
详细信息
Accurately analyzing both structural and functional brain data from multimodal neuroimaging is a challenge. Applying deep learning has helped to gain insight into structural relationships across brain regions and comp...
详细信息
Mild Cognitive Impairment (MCI) is a condition that often precedes dementia, making early diagnosis critical for delaying cognitive decline. Electroencephalography (EEG) has emerged as a non-invasive, cost-effective t...
详细信息
this study examines the effectiveness of traditional machinelearning classifiers versus deep learning models for detecting the imagined speech using electroencephalogram data. Specifically, we evaluated conventional ...
详细信息
暂无评论