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 Nikola K Kasabov

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Average citations per article8.59
Citation Count1,305
Publication count152
Publication years1992-2018
Available for download4
Average downloads per article274.25
Downloads (cumulative)1,097
Downloads (12 Months)71
Downloads (6 Weeks)9
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September 2018 CompSysTech'18: Proceedings of the 19th International Conference on Computer Systems and Technologies
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 55,   Downloads (Overall): 55

Full text available: PDFPDF
Brain-inspired AI (BI-AI) is the contemporary phase in the AI development that is concerned with the design and implementation of highly intelligent machines that utilise information processing principles from the human brain, along with their applications. Artificial neural networks (ANN), in their early developments world-wide (the first publication in Bulgarian ...

2
August 2018
Bibliometrics:
Citation Count: 0

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original authors contribution to the area. The book introduces for the first time not only deep learning and deep ...

3
March 2018 Artificial Intelligence in Medicine: Volume 86 Issue C, March 2018
Publisher: Elsevier Science Publishers Ltd.
Bibliometrics:
Citation Count: 0

Recent technological advances in machine learning offer the possibility of decoding complex datasets and discern latent patterns. In this study, we adopt Liquid State Machines (LSM) to recognize the emotional state of an individual based on EEG data. LSM were applied to a previously validated EEG dataset where subjects view ...
Keywords: EEG, Machine learning, Feature extraction, Emotion recognition, Liquid State Machine, Pattern recognition

4
October 2017
Bibliometrics:
Citation Count: 0

Part of the IEEE series on Computational Intelligence, this book offers the first text to cover both single task and multiple task incremental learning. The broad coverage encompasses both incremental learning theories and practical applications including pattern recognition, time-series prediction, outlier detection, adaptive robotics, bioinformatics, and biomedical diagnosis. Providing readers ...

5
September 2017 Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal: Volume 406 Issue C, September 2017
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

The human brains ability to efficiently detect patterns from the continuous streaming sensory stimuli has been a source of constant intrigue for naturalists, and has set the course for the development of research into artificial intelligence. Efficient encoding of such input stimuli into discrete timing of events play a decisive ...
Keywords: Data compression, Spike-time encoding, Pattern recognition

6
August 2017 Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal: Volume 399 Issue C, August 2017
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

Limited by visual percepts elicited by existing visual prosthesis, its necessary to enhance its functionality to fulfill some challenging tasks for the blind such as obstacle avoidance. This paper argues that spiking neural networks (SNN) are effective techniques for object recognition and introduces for the first time a SNN model ...
Keywords: NeuCube, Spiking neural networks, Obstacle avoidance, Simulated prosthetic vision, Visual prothesis

7
November 2016 Neurocomputing: Volume 215 Issue C, November 2016
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Fast and robust face recognition is a challenging research topic in the field of computer vision. A recently proposed Collaborative Representation based Classification with Regularized Least Square (CRCRLS) algorithm shows very lower computational cost but with poor robustness. In order to solve this problem, we propose an improved CRCRLS method. ...
Keywords: Collaborative representation, Gabor wavelet, Face recognition, Dictionary learning, K-SVD

8
November 2016 IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB): Volume 13 Issue 6, November 2016
Publisher: IEEE Computer Society Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 7,   Downloads (Overall): 29

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Large-scale cancer genomics projects are providing a wealth of somatic mutation data from a large number of cancer patients. However, it is difficult to obtain several samples with a temporal order from one patient in evaluating the cancer progression. Therefore, one of the most challenging problems arising from the data ...

9
November 2016 Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal: Volume 367 Issue C, November 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

k nearest neighbors (kNN) is one of the most widely used supervised learning algorithms to classify Gaussian distributed data, but it does not achieve good results when it is applied to nonlinear manifold distributed data, especially when a very limited amount of labeled samples are available. In this paper, we ...
Keywords: Constrained tired random walk, Manifold classification, Semi-Supervised learning, k Nearest neighbors

10
January 2016
Bibliometrics:
Citation Count: 0

In this carefully edited book some selected results of theoretical and applied research in the field of broadly perceived intelligent systems are presented. The problems vary from industrial to web and problem independent applications. All this is united under the slogan: "Intelligent systems conquer the world. The book brings together ...

11
August 2015 Neural Networks: Volume 68 Issue C, August 2015
Publisher: Elsevier Science Ltd.
Bibliometrics:
Citation Count: 1

The paper presents a methodology for the analysis of functional changes in brain activity across different conditions and different groups of subjects. This analysis is based on the recently proposed NeuCube spiking neural network (SNN) framework and more specifically on the analysis of the connectivity of a NeuCube model trained ...
Keywords: EEG, Response to treatment, Methadone maintenance, NeuCube, Opiates, Spiking neural networks

12
May 2015 Knowledge-Based Systems: Volume 80 Issue C, May 2015
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 2

This paper follows the 25years of development of methods and systems for knowledge-based neural network systems and more specifically the recent evolving connectionist systems (ECOS). ECOS combine the adaptive/evolving learning ability of neural networks and the approximate reasoning and linguistically meaningful explanation features of symbolic representation, such as fuzzy rules. ...
Keywords: Evolving connectionist systems, Computational neurogenetic systems, Evolving spiking neural networks, Knowledge-based systems, Neuro-fuzzy systems, Quantum inspired spiking neural networks, Spatio-temporal pattern recognition

13
March 2015 International Journal of Imaging Systems and Technology: Volume 25 Issue 1, March 2015
Publisher: John Wiley & Sons, Inc.
Bibliometrics:
Citation Count: 0

In order to solve the problem of noise amplification, low contrast and image distortion in the process of medical image enhancement, a new algorithm is proposed which combines NSCT nonsubsampled contourlet transform and improved fuzzy contrast. The image is decomposed by NSCT. Firstly, linear enhancement method is used in low ...
Keywords: fuzzy contrast, NSCT transform, adaptive threshold function, medical images

14
February 2015 Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal: Volume 294 Issue C, February 2015
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 9

The paper offers a new methodology for modelling, recognition and understanding of electroencephalography (EEG) spatio-temporal data measuring complex cognitive brain processes during mental tasks. The key element is that mental tasks are performed through complex spatio-temporal brain processes and they can be better understood only if we model properly the ...
Keywords: NeuCube, Spiking neural networks, Cognitive data, EEG, Personalised neurorehabilitation, Alzheimer's Disease

15
December 2014 Concurrency and Computation: Practice & Experience: Volume 26 Issue 18, December 2014
Publisher: John Wiley and Sons Ltd.
Bibliometrics:
Citation Count: 0

The level set method has been widely used in image segmentation; however, the complexity of the computation has restricted its application field. Also, it is a big challenge to segment remote sensing image mainly because of the complex terrain. In this paper, an enhanced multiphase phase level set method based ...
Keywords: remote sensing image, re-initialization, Chan-Vese, gradient component, multiphase level set

16
November 2014 Neurocomputing: Volume 143, November, 2014
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 2

Many real-world applications expose the nonlinear manifold structure of the lower dimension rather than its high-dimensional input space. This greatly challenges most existing clustering and representative selection algorithms which do not take the manifold characteristics into consideration. The performance of the corresponding learning algorithms can be greatly improved if the ...
Keywords: Graph learning, Manifold clustering, k-means, Random walk

17
September 2014
Bibliometrics:
Citation Count: 0

This two volume set of books constitutes the proceedings of the 2014 7th IEEE International Conference Intelligent Systems (IS), or IEEE IS2014 for short, held on September 2426, 2014 in Warsaw, Poland. Moreover, it contains some selected papers from the collocated IWIFSGN'2014 Thirteenth International Workshop on Intuitionistic Fuzzy Sets and ...

18
September 2014
Bibliometrics:
Citation Count: 0

The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 ...

19
June 2014 Neurocomputing: Volume 134, June, 2014
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 12

The paper presents a novel method and system for personalised (individualised) modelling of spatio/spectro-temporal data (SSTD) and prediction of events. A novel evolving spiking neural network reservoir system (eSNNr) is proposed for the purpose. The system consists of spike-time encoding module of continuous value input information into spike trains; a ...
Keywords: Spatio-temporal pattern recognition, Spiking neural networks, Evolving connectionist systems, Stroke occurrence prediction, Personalised modelling

20
April 2014 Neural Networks: Volume 52, April, 2014
Publisher: Elsevier Science Ltd.
Bibliometrics:
Citation Count: 17

The brain functions as a spatio-temporal information processing machine. Spatio- and spectro-temporal brain data (STBD) are the most commonly collected data for measuring brain response to external stimuli. An enormous amount of such data has been already collected, including brain structural and functional data under different conditions, molecular and genetic ...
Keywords: EEG, Associative memory, Computational neuro-genetic modeling, Data mining, Finite automata for spatio-temporal data, Neurogenetic data, FMRI, Gene regulatory networks, Spiking neural networks, Pattern recognition, Spatio-temporal brain data



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