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Analytical Features: A Knowledge-Based Approach to Audio Feature Generation
2009
EURASIP Journal on Audio, Speech, and Music Processing
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We present a feature generation system designed to create audio features for supervised classification tasks. ...
The main contribution to feature generation studies is the notion of analytical features (AFs), a construct designed to support the representation of knowledge about audio signal processing. ...
Krawiec [14] proposed a similar approach from a genetic programming perspective and performed the same evaluation on reference databases. ...
doi:10.1155/2009/153017
fatcat:nzhgjxqofvabtpd7bfzfjzf26y
Embodied Cognition-Based Distributed Spectrum Sensing for Autonomic Wireless Systems
[chapter]
2009
Autonomic Computing and Networking
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In this chapter, after a tutorial overview of the current State of the Art on Cognitive Radio visions and on stand-alone and cooperative/distributed approaches to spectrum sensing, the general problem ...
a complete access to the network wherever and whenever the user needs them. ...
Some of the most intuitive features considered are instantaneous amplitude, phase, and frequency [2] . Such features are usually used to detect and classify linear modulation [14] . ...
doi:10.1007/978-0-387-89828-5_8
fatcat:wsdhxx6aurcibh5ulbnuekvthm
Variability of Neuronal Responses: Types and Functional Significance in Neuroplasticity and Neural Darwinism
2016
Frontiers in Human Neuroscience
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(synonyms, repeats), and "genuine useful" (the basis of neuroplasticity and learning). ...
HIGHLIGHTS • We suggest classifying variability of neuronal responses as follows: false (associated with a lack of knowledge about the influential factors), "genuine harmful" (noise), "genuine neutral" ...
ACKNOWLEDGMENTS The reported study was partially supported by the Russian Foundation for Basic Research (RFBR), research project 16-34-60090-mol-a-dk. ...
doi:10.3389/fnhum.2016.00603
pmid:27932969
pmcid:PMC5122744
fatcat:57kyk24f25cw3ouxklhzhxxwhy
A New Framework for Recognizing Normal and Epileptic Seizure from Eye Movement Signals Using Genetic Based Convolutional Neural Network
2020
Traitement du signal
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During the saccade feature extraction and fixation feature extraction, the proposed method ensures the precision of epileptic seizure detection. ...
The genetic-based CNN helps to make perfect decisions on the existence of epileptic seizure. ...
Figure 7 shows the feature extraction graph, where the saccade and fixation features are extracted using the proposed Genetic based CNN approach. ...
doi:10.18280/ts.370317
fatcat:5xyg2bcvubhcjkpdmpsjjzwx3m
Personal Identification Based on Brain Networks of EEG Signals
2018
International Journal of Applied Mathematics and Computer Science
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Then, some attributes of the brain networks including the degree of a node, the clustering coefficient and global efficiency are computed to form a new feature vector. ...
Lastly, we utilize linear discriminant analysis (LDA) to classify the extracted features for personal identification. ...
This work was supported by the National Natural Science Foundation of China (61671193, 61602140), the Science and Technology Program of Zhejiang Province (2018C04012, 2017C33049), and the science and technology ...
doi:10.2478/amcs-2018-0057
fatcat:frg35atmyvcunp4e7embwti2be
Nonclassical Systemics of Quasicoherence: From Formal Properties to Representations of Generative Mechanisms. A Conceptual Introduction to a Paradigm-Shift
2019
Systems
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Such domains allow the profiling of collective behavior. Selection mechanisms are based on learning techniques or cognitive approaches for social systems. ...
The goal of this paper is to introduce the concepts of domain and selection mechanisms which are suitable to represent the generative mechanisms of quasicoherence of collective behavior. ...
Suitable approaches to be studied relate to learning and profiling techniques, analog computation, cognitive processing, and nature-inspired computation suitable to identify, apply, reproduce, or generate ...
doi:10.3390/systems7040051
fatcat:lbsrd7qjkvfhhkpc57xgedimby
Differences Between Natural and Artificial Cognitive Systems
[chapter]
2021
Robotics, AI, and Humanity
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AbstractThis chapter identifies the differences between natural and artifical cognitive systems. ...
Benchmarking robots against brains may suggest that organisms and robots both need to possess an internal model of the restricted environment in which they act and both need to adjust their actions to ...
It would require to implement oscillatory microcircuits and mechanisms ensuring selective synchronization of feature selective nodes. ...
doi:10.1007/978-3-030-54173-6_2
fatcat:psx2bzq44rdcpbwajws5ouczoe
The Expanding Horizon of Neural Stimulation for Hyperkinetic Movement Disorders
2021
Frontiers in Neurology
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We then shift our focus to the periphery using tremor and Tourette's syndrome to illustrate the utility of peripheral biomarkers and interventions. ...
We first describe the most commonly used features that can be extracted from oscillatory activity of the central nervous system, and how these can be combined with an expanding range of non-invasive and ...
AUTHOR CONTRIBUTIONS All authors contributed to the article and approved the submitted version. ...
doi:10.3389/fneur.2021.669690
pmid:34054710
pmcid:PMC8160223
fatcat:wjncv3zazzaavftpsmsmzokwxq
Computational Psychiatry
2014
Neuron
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Second, it will be important to develop a cadre of young psychiatrists who learn computational modeling, lest computational psychiatry. ...
To achieve this promise will require investment in cross-disciplinary training and research in this nascent field. to the advancement of computational psychiatry. to and engage with psychiatric research ...
Acknowledgments We thank John Murray, Alan Anticevic, and Philip Corlett for discussions related to computational psychiatry and John Murry for making Figure ...
doi:10.1016/j.neuron.2014.10.018
pmid:25442941
pmcid:PMC4255477
fatcat:yscknyq4ezdfhbu2wqdlr6ch64
Modularity, and the psychoevolutionary theory of emotion
1990
Biology & Philosophy
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The psychoevolutionary approach to emotion yields an alternative classification of certain emotion phenomena. ...
It is unreasonable to assume that our pre-scientific emotion vocabulary embodies all and only those distinctions required for a scientific psychology of emotion. ...
It may be that socially constructed emotions, such as romantic love, mimic the general features of affect-program phenomena, and perhaps of those cognitive states that resemble affect-program states in ...
doi:10.1007/bf00127486
fatcat:xwqagyap7nbehjccsa2b4nvepm
Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis (Dagstuhl Seminar 16261)
2016
Dagstuhl Reports
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The seminar brought together 37 participants from three diverse disciplines, who would normally not have opportunities to meet in such a forum, let alone discuss common interests and plan joint projects ...
This report documents the talks, discussions and outcome of the Dagstuhl seminar 16261 "Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis". ...
Funding by the CITEC center of excellence is gratefully acknowledged.
References ...
doi:10.4230/dagrep.6.6.88
dblp:journals/dagstuhl-reports/BhanotBVZ16
fatcat:b5ntg57oy5awvbsgnk3k2ogiue
Brain and autonomic nervous system activity measurement in software engineering: A systematic literature review
2021
Journal of Systems and Software
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We analyzed these papers to develop a comprehensive understanding of who had published NeuroSE research and classified the contributions according to their type. ...
measurements a b s t r a c t In the past decade, brain and autonomic nervous system activity measurement received increasing attention in the study of software engineering (SE). ...
5 state
classification
Züger and Fritz (2015)
2 state, 3 state, and 7 state
classification
Züger et al. (2018)
Features: Heart, Computer interaction, sleep, and physical
activity
All features ...
doi:10.1016/j.jss.2021.110946
fatcat:77u6eafdlvf6hn2xnkae46n5ou
Artificial intelligence based cognitive routing for cognitive radio networks
2015
Artificial Intelligence Review
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2013 pre-print arXiv:1309.0085v1 fatcat:xaqryzzf6rhi7k3ypxr4fygrym
We also survey the application of various classes of AI techniques to CRNs in general, and to the problem of routing in particular. ...
We also highlight the various inference, reasoning, modeling, and learning sub tasks that a cognitive routing protocol must solve. ...
into two broad categories of feature classification and decision making. ...
doi:10.1007/s10462-015-9438-6
fatcat:hi4mk5iaf5dsjgco5sgknejroq
Inducing a generative expressive performance model using a sequential-covering genetic algorithm
2007
Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07
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In this paper, we describe an evolutionary approach to inducing a generative model of expressive music performance for Jazz saxophone. ...
We begin with a collection of audio recordings of real Jazz saxophone performances from which we extract a symbolic representation of the musician's expressive performance. ...
Another research line is to extend our model to be able to base its prediction on expressive features such as vibrato and tremolo. ...
doi:10.1145/1276958.1277374
dblp:conf/gecco/RamirezH07
fatcat:qouwdolu5rb3hne4jqynpao3my
Brains, computation, and selection: An essay review of Gerald Edelmanns Neural Darwinism
1989
Psychobiology (Austin, Tex.)
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One ofthe networks serves as a feature detector and the other as a feature correlator. ...
Edelman sees current approaches to the problem of perceptual categorization, which are based on cognitive psychology and computational neuroscience, as containing an implicit instructionist assumption ...
doi:10.1007/bf03337790
fatcat:iiujpzmyvnamnbaqvzuzijmgcq
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