Alireza Sadeghian
According to our database1,
Alireza Sadeghian
authored at least 103 papers
between 1999 and 2022.
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Bibliography
2022
Algorithms, 2022
2021
A Fast and Accurate Method for Calculating the Center of Gravity of Polygonal Interval Type-2 Fuzzy Sets.
IEEE Trans. Fuzzy Syst., 2021
Happiness recognition from smartphone usage data considering users' estimated personality traits.
Pervasive Mob. Comput., 2021
Online Soc. Networks Media, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Application of Hybrid Wavelet-SVM Algorithm to Detect Broken Rotor Bars in Induction Motors.
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021
2020
Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review.
CoRR, 2020
2019
Int. J. Mach. Learn. Cybern., 2019
2018
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids.
Swarm Evol. Comput., 2018
Online Soc. Networks Media, 2018
2017
An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery.
Soft Comput., 2017
Data-driven detrending of nonstationary fractal time series with echo state networks.
Inf. Sci., 2017
A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current.
Int. J. Bifurc. Chaos, 2017
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids.
Appl. Soft Comput., 2017
A hybrid wavelet based K-means clustering approach to detect intracranial hypertension.
Proceedings of the IEEE Canada International Humanitarian Technology Conference, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
A learning intelligent System for classification and characterization of localized faults in Smart Grids.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
2016
IEEE Trans. Fuzzy Syst., 2016
Discrimination and Characterization of Parkinsonian Rest Tremors by Analyzing Long-Term Correlations and Multifractal Signatures.
IEEE Trans. Biomed. Eng., 2016
On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series.
Int. J. Bifurc. Chaos, 2016
Eng. Appl. Artif. Intell., 2016
A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids.
CoRR, 2016
Granular Computing Techniques for Classification and Semantic Characterization of Structured Data.
Cogn. Comput., 2016
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels.
IEEE Trans. Fuzzy Syst., 2015
Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction.
Soft Comput., 2015
Prediction of telephone calls load using Echo State Network with exogenous variables.
Neural Networks, 2015
Classifying sequences by the optimized dissimilarity space embedding approach: A case study on the solubility analysis of the E. coli proteome.
J. Intell. Fuzzy Syst., 2015
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification.
Neurocomputing, 2015
On the impact of topological properties of smart grids in power losses optimization problems.
CoRR, 2015
Discrimination and characterization of Parkinsonian rest tremors by analyzing long-term correlations and multifractal signatures.
CoRR, 2015
Position paper: a general framework for applying machine learning techniques in operating room.
CoRR, 2015
Granular modeling and computing approaches for intelligent analysis of non-geometric data.
Appl. Soft Comput., 2015
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition.
IEEE Access, 2015
"CANthings"(Context Aware Network for the Design of Connected Things) service modeling based on Timed CPN.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015
Synthesizing social context for making Internet of Things environments more immersive.
Proceedings of the 6th International Conference on the Network of the Future, 2015
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
An Extreme Learning Machine (ELM) Predictor for Electric Arc Furnaces' v-i Characteristics.
Proceedings of the IEEE 2nd International Conference on Cyber Security and Cloud Computing, 2015
2014
A Granular Computing approach to the design of optimized graph classification systems.
Soft Comput., 2014
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification.
CoRR, 2014
Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation.
CoRR, 2014
Characterization of Graphs for Protein Structure Modeling and Recognition of Solubility.
CoRR, 2014
Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions.
Appl. Soft Comput., 2014
A Formal Ontology Alignment for CANthings (Context Aware Network for the Connected Things).
Proceedings of the Eighth International Conference on Next Generation Mobile Apps, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids.
Proceedings of the Computational Intelligence - International Joint Conference, 2014
Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids.
Proceedings of the ECTA 2014, 2014
2013
Modeling Complex Concepts with Type-2 Fuzzy Sets: The Case of User Satisfaction of Online Services.
Proceedings of the Advances in Type-2 Fuzzy Sets and Systems - Theory and Applications, 2013
Shadowed Fuzzy Sets: A Framework with More Freedom Degrees for Handling Uncertainties Than Interval Type-2 Fuzzy Sets and Lower Computational Complexity Than General Type-2 Fuzzy Sets.
Proceedings of the New Concepts and Applications in Soft Computing, 2013
IEEE Trans. Fuzzy Syst., 2013
Proceedings of the Uncertainty Reasoning for the Semantic Web II, 2013
Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Genetic optimization of a fuzzy control system for energy flow management in micro-grids.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Bouncing and raindrop image search algorithms, two novel feature detection mechanisms.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013
2012
Int. J. Adv. Intell. Paradigms, 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
2011
Relational Attribute Integrated Matching Analysis (RAIMA): A Framework for the Design of Self-Adaptive Egocentric Social Networks.
IEEE Syst. J., 2011
Formalized learning automata with adaptive fuzzy coloured Petri net; an application specific to managing traffic signals.
Sci. Iran., 2011
Dynamic reconstruction of nonlinear v-i characteristic in electric arc furnaces using adaptive neuro-fuzzy rule-based networks.
Appl. Soft Comput., 2011
Self-adaptive middleware for the design of context-aware software applications in public transit systems.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011
iFAST: An Intelligent Fire-Threat Assessment and Size-up Technology for first responders.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2011
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011
Proceedings of the Autonomous and Intelligent Systems - Second International Conference, 2011
2010
Feedback associative memory based on a new hybrid model of generalized regression and self-feedback neural networks.
Neural Networks, 2010
Appl. Artif. Intell., 2010
A bidirectional associative memory based on cortical spiking neurons using temporal coding.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Proceedings of the Foundations of Computational Intelligence, 2009
Online Detection of Broken Rotor Bars in Induction Motors by Wavelet Packet Decomposition and Artificial Neural Networks.
IEEE Trans. Instrum. Meas., 2009
A theoretic framework for intelligent expert systems in medical encounter evaluation.
Expert Syst. J. Knowl. Eng., 2009
Proceedings of the 4th IEEE International Conference on System of Systems Engineering, 2009
Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), 2009
Expectation maximization enhancement with evolutionstrategy for stochastic ontology mapping.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2009
Proceedings of the IEEE 23rd International Conference on Advanced Information Networking and Applications, 2009
2008
IEEE Comput. Intell. Mag., 2008
Auto-associative memory based on a new hybrid model of SFNN and GRNN: Performance comparison with NDRAM, ART2 and MLP.
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the FUZZ-IEEE 2008, 2008
Proceedings of 13th IEEE International Conference on Emerging Technologies and Factory Automation, 2008
2007
Proceedings of the 2nd IEEE International Conference on System of Systems Engineering, 2007
Applying Model-Driven Development Techniques to the Development of Search and Rescue Systems.
Proceedings of the 2nd IEEE International Conference on System of Systems Engineering, 2007
Proceedings of the 2nd IEEE International Conference on System of Systems Engineering, 2007
Proceedings of the 2nd IEEE International Conference on System of Systems Engineering, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Proceedings of the 1st IEEE/SMC International Conference on System of Systems Engineering, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Proceedings of the IEEE International Conference on Systems, 2005
2004
Bounds on the minimum distances of a class of q-ary images of q<sup>m</sup>-ary irreducible cyclic codes.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004
2003
Current signature analysis of induction motor mechanical faults by wavelet packet decomposition.
IEEE Trans. Ind. Electron., 2003
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003
2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
2000
Application of Feedfoward Neuro-Fuzzy Networks for Current Prediction in Electric Arc Furnaces.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Recurrent neuro-fuzzy predictors for multi-step prediction of v-i characteristics of electric arc furnaces.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000
1999
Proceedings of the International Joint Conference Neural Networks, 1999