A. Sadeghian

发表

A. M. Madni, Sanjeevan Sivapalan, A. Sadeghian, 2014, 2014 World Automation Congress (WAC).

Multifractal characterization of protein contact networks

Alessandro Giuliani, Lorenzo Livi, Antonello Rizzi, 2014, 1410.0890.

Fractal Geometry Meets Computational Intelligence: Future Perspectives

A. Sadeghian, L. Livi, A. Ieva, 2016 .

Modeling linguistic label perception in tourism e-satisfaction with type-2 fuzzy sets

Hooman Tahayori, Alireza Sadeghian, Masoomeh Moharrer, 2010, 2010 Annual Meeting of the North American Fuzzy Information Processing Society.

Nonlinear black-box modeling of electric arc furnace: an application of fuzzy logic systems

J.D. Lavers, A. Sadeghian, J. Lavers, 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current

Antonello Rizzi, Alireza Sadeghian, Enrico De Santis, 2017, Int. J. Bifurc. Chaos.

Analysis of heat kernel highlights the strongly modular and heat-preserving structure of proteins

Alessandro Giuliani, Lorenzo Livi, Antonello Rizzi, 2014, 1409.1819.

Computer simulation of developing abrasive jet machined profiles including particle interference

Alireza Sadeghian, Marcello Papini, A. Sadeghian, 2009 .

Modeling innovation in international business with respect to the cultural distance using interval type-2 fuzzy sets

A. Sadeghian, M. Moharrer, H. Tahayori, 2011, 2011 Annual Meeting of the North American Fuzzy Information Processing Society.

Entropic One-Class Classifier pdf

Witold Pedrycz, Lorenzo Livi, Alireza Sadeghian, 2014, ArXiv.

Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction

A. Sadeghian, A. Rizzi, M. Moharrer, 2014, Soft Computing.

An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery

A. Sadeghian, A. Rizzi, L. Livi, 2015, Soft Computing.

Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction

Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, 2015, Soft Comput..

Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions

Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, 2014, Appl. Soft Comput..

Modeling Complex Concepts with Type-2 Fuzzy Sets: The Case of User Satisfaction of Online Services

Hooman Tahayori, Alireza Sadeghian, Masoomeh Moharrer, 2013, Advances in Type-2 Fuzzy Sets and Systems.

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

Hooman Tahayori, Alireza Sadeghian, A. Sadeghian, 2013, New Concepts and Applications in Soft Computing.

Handling uncertainties of membership functions with Shadowed Fuzzy Sets

Hooman Tahayori, Alireza Sadeghian, A. Sadeghian, 2012, World Automation Congress 2012.

Operations on type-2 fuzzy sets based on the set of pseudo-highest intersection points of convex fuzzy sets

Hooman Tahayori, Alireza Sadeghian, Andrea Visconti, 2010, 2010 Annual Meeting of the North American Fuzzy Information Processing Society.

Entropic One-Class Classifiers

Witold Pedrycz, Lorenzo Livi, Alireza Sadeghian, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Characterization of Graphs for Protein Structure Modeling and Recognition of Solubility pdf

Alessandro Giuliani, Lorenzo Livi, Alireza Sadeghian, 2014, ArXiv.

Spam detection system: A new approach based on interval type-2 fuzzy sets

Alireza Sadeghian, Reza Ariaeinejad, A. Sadeghian, 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

Spectral reconstruction of protein contact networks

Alessandro Giuliani, Antonello Rizzi, Alireza Sadeghian, 2017 .

Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2014, Neurocomputing.

Granular computing, computational intelligence, and the analysis of non-geometric input spaces

Lorenzo Livi, Alireza Sadeghian, A. Sadeghian, 2016 .

On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2015, Int. J. Bifurc. Chaos.

Feedback associative memory based on a new hybrid model of generalized regression and self-feedback neural networks

Mahmood Amiri, Alireza Sadeghian, Hamed Davande, 2010, Neural Networks.

Auto-associative memory based on a new hybrid model of SFNN and GRNN: Performance comparison with NDRAM, ART2 and MLP

Alireza Sadeghian, Mahmood Amiri, Sylvain Chartier, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Auto-Associative Neural Network Based on New Hybrid Model of SFNN and GRNN

Alireza Sadeghian, Mahmood Amiri, Seyyed Ali Seyyedsalehi, 2007, 2007 International Joint Conference on Neural Networks.

Chosen Plaintext Attack against Neural Network-Based Symmetric Cipher

Alireza Sadeghian, Maryam Arvandi, A. Sadeghian, 2007, 2007 International Joint Conference on Neural Networks.

PCA-based Least Squares Support Vector Machines in Week-Ahead Load Forecasting

M. Afshin, A. Sadeghian, A. Sadeghian, 2007, 2007 IEEE/IAS Industrial & Commercial Power Systems Technical Conference.

Online Detection of Broken Rotor Bars in Induction Motors by Wavelet Packet Decomposition and Artificial Neural Networks

Alireza Sadeghian, Bin Wu, Zhongming Ye, 2009, IEEE Transactions on Instrumentation and Measurement.

Classifying sequences by the optimized dissimilarity space embedding approach: A case study on the solubility analysis of the E. coli proteome

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2014, J. Intell. Fuzzy Syst..

Data granulation by the principles of uncertainty

Lorenzo Livi, Alireza Sadeghian, A. Sadeghian, 2014, Pattern Recognit. Lett..

Matching general type-2 fuzzy sets by comparing the vertical slices

Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

Aggregating α-planes for Type-2 fuzzy set matching

Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

A bidirectional associative memory based on cortical spiking neurons using temporal coding

Alireza Sadeghian, Sylvain Chartier, Masood Zamani, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Please Scroll down for Article Applied Artificial Intelligence Application of Artificial Neural Networks in Controlled Drug Delivery Systems Application of Artificial Neural Networks in Controlled Drug Delivery Systems

Alireza Sadeghian, Mahmood Amiri, Mohammad Rafienia, 2022 .

A perceptual computer for hierarchical portfolio selection based on interval type-2 fuzzy sets

A. Sadeghian, H. Tahayori, Kayvan Tirdad, 2022, Granular Computing.

A Variation of Particle Swarm Optimization for Training of Artificial Neural Networks

Alireza Sadeghian, Masood Zamani, A. Sadeghian, 2010 .

Ontology Enhancement through Inductive Decision Trees

Mikhail Soutchanski, Alireza Sadeghian, Bart Gajderowicz, 2013, URSW.

Alireza Sadeghian, Chen Ding, Syeda Nadia Firdaus, 2018, Online Soc. Networks Media.

Drivers of Customer Satisfaction in Online Tourism-The Case of European Countries

Hooman Tahayori, Alireza Sadeghian, Masoomeh Moharrer, 2013 .

Dynamic reconstruction of nonlinear v-i characteristic in electric arc furnaces using adaptive neuro-fuzzy rule-based networks

J. D. Lavers, Alireza Sadeghian, A. Sadeghian, 2011, Appl. Soft Comput..

Inducing Relational Fuzzy Classification Rules by Means of Cooperative Coevolution

Alireza Sadeghian, Vahab Akbarzadeh, Marcus V. dos Santos, 2009, Foundations of Computational Intelligence.

Derivation of relational fuzzy classification rules using evolutionary computation

Alireza Sadeghian, Vahab Akbarzadeh, Marcus V. dos Santos, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids

Antonello Rizzi, Enrico De Santis, Alireza Sadeghian, 2016, Appl. Soft Comput..

Granular modeling and computing approaches for intelligent analysis of non-geometric data

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2015, Appl. Soft Comput..

Ontology Granulation Through Inductive Decision Trees

Alireza Sadeghian, Bart Gajderowicz, A. Sadeghian, 2009, URSW.

Prediction of telephone calls load using Echo State Network with exogenous variables

Simone Scardapane, Aurelio Uncini, Antonello Rizzi, 2015, Neural Networks.

Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition

Antonello Rizzi, Alireza Sadeghian, Filippo Maria Bianchi, 2015, IEEE Access.

Formalized Learning Automata with Adaptive Fuzzy Coloured Petri Net an Application Specific to Managing Traffic Signals

Mohammad Reza Meybodi, Alireza Sadeghian, Siamak Barzegar, 2022 .

Retweet Prediction based on Topic, Emotion and Personality

Alireza Sadeghian, Syeda Nadia Firdaus, Chen Ding, 2021, Online Soc. Networks Media.

Retweet prediction considering user's difference as an author and retweeter

Alireza Sadeghian, Chen Ding, Syeda Nadia Firdaus, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Granular Computing Techniques for Classification and Semantic Characterization of Structured Data

A. Sadeghian, A. Rizzi, A. Uncini, 2016, Cognitive Computation.

An Extreme Learning Machine (ELM) Predictor for Electric Arc Furnaces' v-i Characteristics

Alireza Sadeghian, Ali Miri, Dharmendra Chourishi, 2015, 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing.

Applying Model-Driven Development Techniques to the Development of Search and Rescue Systems

Alexander Ferworn, Alireza Sadeghian, Huy Pham, 2007, 2007 IEEE International Conference on System of Systems Engineering.

Discrimination and Characterization of Parkinsonian Rest Tremors by Analyzing Long-Term Correlations and Multifractal Signatures

Lorenzo Livi, Alireza Sadeghian, A. Sadeghian, 2015, IEEE Transactions on Biomedical Engineering.

Topic specific emotion detection for retweet prediction

Alireza Sadeghian, Chen Ding, Syeda Nadia Firdaus, 2019, Int. J. Mach. Learn. Cybern..

Nonlinear neuro-fuzzy prediction: methodology, design and applications

Alireza Sadeghian, A. Sadeghian, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

A theoretic framework for intelligent expert systems in medical encounter evaluation

Alireza Sadeghian, William W. Melek, A. Sadeghian, 2009, Expert Syst. J. Knowl. Eng..

A Fast and Accurate Method for Calculating the Center of Gravity of Polygonal Interval Type-2 Fuzzy Sets

Hooman Tahayori, Alireza Sadeghian, Mohammad Naimi, 2020, IEEE Transactions on Fuzzy Systems.

Data-driven detrending of nonstationary fractal time series with echo state networks pdf

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2015, Inf. Sci..

A learning intelligent System for classification and characterization of localized faults in Smart Grids

Antonello Rizzi, Alireza Sadeghian, Enrico De Santis, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2014, Soft Comput..

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2014, Inf. Sci..

A Granular Computing approach to the design of optimized graph classification systems

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2014, Soft Comput..

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

On Efficient Tuning of LS-SVM Hyper-Parameters in Short-Term Load Forecasting: A Comparative Study

K. Raahemifar, M. Afshin, A. Sadeghian, 2007, 2007 IEEE Power Engineering Society General Meeting.

Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels

Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, 2015, IEEE Transactions on Fuzzy Systems.

Implementation of knowledge-based system for iron core inductor design

J.D. Lavers, A. Sadeghian, A. Sadeghian, 2004, IEEE Transactions on Magnetics.

On the accessibility/controllability of fuzzy control systems

Mohammad Biglarbegian, Alireza Sadeghian, William W. Melek, 2012, Inf. Sci..

Accessibility of Fuzzy Control Systems

Mohammad Biglarbegian, Alireza Sadeghian, William W. Melek, 2011, AIS.

Relational Attribute Integrated Matching Analysis (RAIMA): A Framework for the Design of Self-Adaptive Egocentric Social Networks

Azad M. Madni, Alireza Sadeghian, Hossein Rahnama, 2011, IEEE Systems Journal.

Induction of Shadowed Sets Based on the Gradual Grade of Fuzziness

Witold Pedrycz, Hooman Tahayori, Alireza Sadeghian, 2013, IEEE Transactions on Fuzzy Systems.

Granular Computing Techniques for Classification and Semantic Characterization of Structured Data

Simone Scardapane, Aurelio Uncini, Antonello Rizzi, 2015, Cognitive Computation.

Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices

Witold Pedrycz, Lorenzo Livi, Hooman Tahayori, 2016, IEEE Transactions on Fuzzy Systems.

Reinforcement learning using associative memory networks

Alireza Sadeghian, Sylvain Chartier, Ricardo Salmon, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Evaluation of a fuzzy logic controller for laser thermal therapy

Alireza Sadeghian, William M. Whelan, Michael D. Sherar, 2002, SPIE BiOS.

A generative model for protein contact networks

Alessandro Giuliani, Lorenzo Livi, Antonello Rizzi, 2015, Journal of biomolecular structure & dynamics.

Expectation maximization enhancement with evolutionstrategy for stochastic ontology mapping

Alireza Sadeghian, Bart Gajderowicz, Marcus V. dos Santos, 2009, GECCO.

A New Fuzzy Disjointing Difference Operator to Calculate Union and Intersection of Type-2 Fuzzy Sets

Hooman Tahayori, Alireza Sadeghian, A. Sadeghian, 2015 .

On the impact of topological properties of smart grids in power losses optimization problems pdf

Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian, 2015, ArXiv.

Entropic One-Class Classifiers

A. Sadeghian, W. Pedrycz, L. Livi, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Identifying user habits through data mining on call data records pdf

Corrado Moiso, Antonello Rizzi, Alireza Sadeghian, 2016, Eng. Appl. Artif. Intell..