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Alireza Sadeghian
Ali Reza Sadeghian
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2020 – today
- 2024
- [j41]Ahmad Abou-Hamde, Lauren Philippi, Eric Jones, Christian Martin, Kingsley Wu, Michael Kundell, Sunita Mathur
, Alireza Sadeghian, Maryam Davoudpour
Using Physiological Markers to Assess Comfort during Neuromuscular Electrical Stimulation Induced Muscle Contraction in a Virtually Guided Environment: Pilot Study for a Path toward Combating ICU-Acquired Weakness. Sensors 24(11): 3599 (2024) - [i15]Daniel Platnick, Sourena Khanzadeh, Alireza Sadeghian, Richard Anthony Valenzano:
GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Data. CoRR abs/2404.07356 (2024) - 2022
- [j40]Enrico De Santis
Multifractal Characterization and Modeling of Blood Pressure Signals. Algorithms 15(8): 259 (2022) - 2021
- [j39]Syeda Nadia Firdaus, Chen Ding, Alireza Sadeghian:
Retweet Prediction based on Topic, Emotion and Personality. Online Soc. Networks Media 25: 100165 (2021) - [j38]Alireza Sadeghian, Marjan Kaedi:
Happiness recognition from smartphone usage data considering users' estimated personality traits. Pervasive Mob. Comput. 73: 101389 (2021) - [j37]Mohammad Naimi, Hooman Tahayori
A Fast and Accurate Method for Calculating the Center of Gravity of Polygonal Interval Type-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 29(6): 1472-1483 (2021) - [c51]Shermineh Ghasemi, Alireza Sadeghian:
Application of Hybrid Wavelet-SVM Algorithm to Detect Broken Rotor Bars in Induction Motors. ISIE 2021: 1-6 - [c50]Hedieh Montazeri, Shermineh Ghasemi, Alireza Sadeghian:
Hybrid Neuro-Fractal Analysis of ECG Signal to Predict Ischemia. SMC 2021: 2712-2717 - 2020
- [i14]Ashirbani Saha, Pantea Fadaiefard, Jessica E. Rabski, Alireza Sadeghian, Michael D. Cusimano:
Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review. CoRR abs/2012.10517 (2020)
2010 – 2019
- 2019
- [j36]Syeda Nadia Firdaus, Chen Ding, Alireza Sadeghian:
Topic specific emotion detection for retweet prediction. Int. J. Mach. Learn. Cybern. 10(8): 2071-2083 (2019) - 2018
- [j35]Syeda Nadia Firdaus
Retweet: A popular information diffusion mechanism - A survey paper. Online Soc. Networks Media 6: 26-40 (2018) - [j34]Enrico De Santis
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids. Swarm Evol. Comput. 39: 267-278 (2018) - 2017
- [j33]Enrico De Santis
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids. Appl. Soft Comput. 60: 135-149 (2017) - [j32]Enrico De Santis
A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current. Int. J. Bifurc. Chaos 27(14): 1750211:1-1750211:25 (2017) - [j31]Enrico Maiorino
Data-driven detrending of nonstationary fractal time series with echo state networks. Inf. Sci. 382-383: 359-373 (2017) - [j30]Filippo Maria Bianchi
An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery. Soft Comput. 21(5): 1347-1369 (2017) - [c49]Parisa Naraei, Alireza Sadeghian:
A PCA based feature reduction in intracranial hypertension analysis. CCECE 2017: 1-6 - [c48]Enrico De Santis
A learning intelligent System for classification and characterization of localized faults in Smart Grids. CEC 2017: 2669-2676 - [c47]Hooman Tahayori, Alireza Sadeghian:
Zadeh's separation theorem to calculate operations on type-2 fuzzy sets. FUZZ-IEEE 2017: 1-6 - [c46]Parisa Naraei, Matyas Kenez, Alireza Sadeghian:
A hybrid wavelet based K-means clustering approach to detect intracranial hypertension. IHTC 2017: 21-25 - [i13]Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian, Corrado Moiso:
Identifying user habits through data mining on call data records. CoRR abs/1711.08398 (2017) - 2016
- [j29]Filippo Maria Bianchi
Granular Computing Techniques for Classification and Semantic Characterization of Structured Data. Cogn. Comput. 8(3): 442-461 (2016) - [j28]Filippo Maria Bianchi, Antonello Rizzi
Identifying user habits through data mining on call data records. Eng. Appl. Artif. Intell. 54: 49-61 (2016) - [j27]Lorenzo Livi, Enrico Maiorino
On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series. Int. J. Bifurc. Chaos 26(1): 1650007:1-1650007:9 (2016) - [j26]Lorenzo Livi
Discrimination and Characterization of Parkinsonian Rest Tremors by Analyzing Long-Term Correlations and Multifractal Signatures. IEEE Trans. Biomed. Eng. 63(11): 2243-2249 (2016) - [j25]Lorenzo Livi, Hooman Tahayori, Antonello Rizzi
Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices. IEEE Trans. Fuzzy Syst. 24(5): 1022-1034 (2016) - [c45]Syeda Nadia Firdaus, Chen Ding, Alireza Sadeghian:
Retweet prediction considering user's difference as an author and retweeter. ASONAM 2016: 852-859 - [i12]Enrico De Santis, Alireza Sadeghian, Antonello Rizzi:
A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids. CoRR abs/1604.04789 (2016) - 2015
- [j24]Filippo Maria Bianchi, Enrico De Santis
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition. IEEE Access 3: 1931-1943 (2015) - [j23]Lorenzo Livi
Granular modeling and computing approaches for intelligent analysis of non-geometric data. Appl. Soft Comput. 27: 567-574 (2015) - [j22]Enrico De Santis
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification. Neurocomputing 170: 368-383 (2015) - [j21]Lorenzo Livi
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. 28(6): 2725-2733 (2015) - [j20]Filippo Maria Bianchi
Prediction of telephone calls load using Echo State Network with exogenous variables. Neural Networks 71: 204-213 (2015) - [j19]Lorenzo Livi
Data granulation by the principles of uncertainty. Pattern Recognit. Lett. 67: 113-121 (2015) - [j18]Masoomeh Moharrer
Interval type-2 fuzzy sets to model linguistic label perception in online services satisfaction. Soft Comput. 19(1): 237-250 (2015) - [j17]Hooman Tahayori, Lorenzo Livi
Interval Type-2 Fuzzy Set Reconstruction Based on Fuzzy Information-Theoretic Kernels. IEEE Trans. Fuzzy Syst. 23(4): 1014-1029 (2015) - [j16]Lorenzo Livi
Entropic One-Class Classifiers. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3187-3200 (2015) - [c44]Salam Ismaeel
An Extreme Learning Machine (ELM) Predictor for Electric Arc Furnaces' v-i Characteristics. CSCloud 2015: 329-334 - [c43]Enrico De Santis
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach. IJCNN 2015: 1-8 - [c42]Maryam Davoudpour, Alireza Sadeghian, Hossein Rahnama:
Synthesizing social context for making Internet of Things environments more immersive. NOF 2015: 1-5 - [c41]Maryam Davoudpour, Alireza Sadeghian, Hossein Rahnama:
"CANthings"(Context Aware Network for the Design of Connected Things) service modeling based on Timed CPN. ICSC 2015: 127-130 - [i11]Francesca Possemato, Maurizio Paschero, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
On the impact of topological properties of smart grids in power losses optimization problems. CoRR abs/1501.04659 (2015) - [i10]Lorenzo Livi, Alireza Sadeghian:
Discrimination and characterization of Parkinsonian rest tremors by analyzing long-term correlations and multifractal signatures. CoRR abs/1504.02756 (2015) - [i9]Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Data-driven detrending of nonstationary fractal time series with echo state networks. CoRR abs/1510.07146 (2015) - [i8]Filippo Maria Bianchi, Enrico De Santis, Hedieh Montazeri, Parisa Naraei, Alireza Sadeghian:
Position paper: a general framework for applying machine learning techniques in operating room. CoRR abs/1511.09099 (2015) - 2014
- [j15]Lorenzo Livi
Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions. Appl. Soft Comput. 17: 79-89 (2014) - [j14]Lorenzo Livi
Optimized dissimilarity space embedding for labeled graphs. Inf. Sci. 266: 47-64 (2014) - [j13]Filippo Maria Bianchi, Lorenzo Livi
A Granular Computing approach to the design of optimized graph classification systems. Soft Comput. 18(2): 393-412 (2014) - [c40]Enrico De Santis
Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids. IJCCI (ECTA) 2014: 95-103 - [c39]Enrico De Santis
A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids. IJCCI (Selected Papers) 2014: 113-130 - [c38]Enrico De Santis
Fault recognition in smart grids by a one-class classification approach. IJCNN 2014: 1949-1956 - [c37]Maryam Davoudpour, Arman Masoumi, Alireza Sadeghian, Hossein Rahnama:
A Formal Ontology Alignment for CANthings (Context Aware Network for the Connected Things). NGMAST 2014: 175-180 - [i7]Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi:
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification. CoRR abs/1407.7008 (2014) - [i6]Lorenzo Livi, Alireza Sadeghian:
Data Granulation By the Principles of Uncertainty. CoRR abs/1407.7138 (2014) - [i5]Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz:
Entropic One-Class Classifier. CoRR abs/1407.7556 (2014) - [i4]Lorenzo Livi, Alessandro Giuliani, Alireza Sadeghian:
Characterization of Graphs for Protein Structure Modeling and Recognition of Solubility. CoRR abs/1407.8033 (2014) - [i3]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Classifying Sequences by the Optimized Dissimilarity Space Embedding Approach: a Case Study on the Solubility Analysis of the E. coli Proteome. CoRR abs/1408.3873 (2014) - [i2]Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation. CoRR abs/1408.5286 (2014) - [i1]Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian:
An Agent-Based Algorithm exploiting Multiple Local Dissimilarities for Clusters Mining and Knowledge Discovery. CoRR abs/1409.4988 (2014) - 2013
- [j12]Hooman Tahayori, Alireza Sadeghian, Witold Pedrycz:
Induction of Shadowed Sets Based on the Gradual Grade of Fuzziness. IEEE Trans. Fuzzy Syst. 21(5): 937-949 (2013) - [c36]Helia Mohammadi, Anastasios N. Venetsanopoulos, Alireza Sadeghian:
Bouncing and raindrop image search algorithms, two novel feature detection mechanisms. DSP 2013: 1-6 - [c35]Enrico De Santis
Genetic optimization of a fuzzy control system for energy flow management in micro-grids. IFSA/NAFIPS 2013: 418-423 - [c34]Lorenzo Livi
Aggregating α-planes for Type-2 fuzzy set matching. IFSA/NAFIPS 2013: 860-865 - [c33]Antonello Rizzi
Matching general type-2 fuzzy sets by comparing the vertical slices. IFSA/NAFIPS 2013: 866-871 - [c32]Lorenzo Livi
Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure. IJCNN 2013: 1-8 - [c31]Bart Gajderowicz
Ontology Enhancement through Inductive Decision Trees. URSW (LNCS Vol.) 2013: 262-281 - [p3]Hooman Tahayori, Alireza Sadeghian:
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. New Concepts and Applications in Soft Computing 2013: 97-117 - [p2]Masoomeh Moharrer
Modeling Complex Concepts with Type-2 Fuzzy Sets: The Case of User Satisfaction of Online Services. Advances in Type-2 Fuzzy Sets and Systems 2013: 133-146 - [e1]Alireza Sadeghian, Jerry M. Mendel, Hooman Tahayori:
Advances in Type-2 Fuzzy Sets and Systems - Theory and Applications. Studies in Fuzziness and Soft Computing 301, Springer 2013, ISBN 978-1-4614-6665-9 [contents] - 2012
- [j11]Hooman Tahayori, Alireza Sadeghian:
Median interval approach to model words with interval type-2 fuzzy sets. Int. J. Adv. Intell. Paradigms 4(3/4): 313-336 (2012) - [j10]Mohammad Biglarbegian, Alireza Sadeghian, William W. Melek:
On the accessibility/controllability of fuzzy control systems. Inf. Sci. 202: 58-72 (2012) - [c30]Siamak Barzegar, Maryam Davoudpour, Alireza Sadeghian:
A Hybrid Approach for Adaptive Car Navigation. ICONIP (3) 2012: 252-261 - 2011
- [j9]Alireza Sadeghian, J. D. Lavers:
Dynamic reconstruction of nonlinear v-i characteristic in electric arc furnaces using adaptive neuro-fuzzy rule-based networks. Appl. Soft Comput. 11(1): 1448-1456 (2011) - [j8]Siamak Barzegar, Maryam Davoudpour, Mohammad Reza Meybodi, Alireza Sadeghian, Mehran Tirandazian:
Formalized learning automata with adaptive fuzzy coloured Petri net; an application specific to managing traffic signals. Sci. Iran. 18(3): 554-565 (2011) - [j7]Hossein Rahnama, Alireza Sadeghian, Asad M. Madni:
Relational Attribute Integrated Matching Analysis (RAIMA): A Framework for the Design of Self-Adaptive Egocentric Social Networks. IEEE Syst. J. 5(1): 80-90 (2011) - [c29]Mohammad Biglarbegian, Alireza Sadeghian, William W. Melek:
Accessibility of Fuzzy Control Systems. AIS 2011: 93-101 - [c28]Reza Ariaeinejad, Alireza Sadeghian:
Spam detection system: A new approach based on interval type-2 fuzzy sets. CCECE 2011: 379-384 - [c27]Helia Mohammadi, Alireza Sadeghian:
iFAST: An Intelligent Fire-Threat Assessment and Size-up Technology for first responders. CIDUE 2011: 33-40 - [c26]Hossein Rahnama, Petar Kramaric, Alireza Sadeghian, Alan Shepard:
Self-adaptive middleware for the design of context-aware software applications in public transit systems. UbiComp 2011: 491-492 - 2010
- [j6]Mohammad Rafienia
Application of Artificial Neural Networks in Controlled Drug Delivery Systems. Appl. Artif. Intell. 24(8): 807-820 (2010) - [j5]Mahmood Amiri, Hamed Davande, Alireza Sadeghian, Sylvain Chartier
Feedback associative memory based on a new hybrid model of generalized regression and self-feedback neural networks. Neural Networks 23(7): 892-904 (2010) - [c25]Ricardo Salmon, Alireza Sadeghian, Sylvain Chartier
Reinforcement learning using associative memory networks. IJCNN 2010: 1-7 - [c24]Masood Zamani, Alireza Sadeghian, Sylvain Chartier
A bidirectional associative memory based on cortical spiking neurons using temporal coding. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j4]William W. Melek, Alireza Sadeghian:
A theoretic framework for intelligent expert systems in medical encounter evaluation. Expert Syst. J. Knowl. Eng. 26(1): 82-99 (2009) - [j3]Alireza Sadeghian, Zhongming Ye, Bin Wu:
Online Detection of Broken Rotor Bars in Induction Motors by Wavelet Packet Decomposition and Artificial Neural Networks. IEEE Trans. Instrum. Meas. 58(7): 2253-2263 (2009) - [c23]Isaac Woungang, Guangyan Ma, Mieso K. Denko, Alireza Sadeghian, Sudip Misra, Alexander Ferworn
Survivability in Existing ATM-Based Mesh Networks. AINA 2009: 719-724 - [c22]Vahab Akbarzadeh, Alireza Sadeghian:
A Knowledge based Decision Support Architecture for Designing Brushless DC Motors. ETFA 2009: 1-6 - [c21]Bart Gajderowicz
Expectation maximization enhancement with evolutionstrategy for stochastic ontology mapping. GECCO 2009: 1847-1848 - [c20]Bart Gajderowicz, Alireza Sadeghian:
Ontology Granulation Through Inductive Decision Trees. URSW 2009: 39-50 - [c19]Huy Pham, Qusay H. Mahmoud, Alexander Ferworn, Alireza Sadeghian:
Intelligent agent control using simple logic-based hierarchical planning. SoSE 2009: 1-5 - [p1]Vahab Akbarzadeh, Alireza Sadeghian, Marcus V. dos Santos:
Inducing Relational Fuzzy Classification Rules by Means of Cooperative Coevolution. Foundations of Computational Intelligence (4) 2009: 127-147 - 2008
- [j2]Maryam Arvandi, Shuwei Wu, Alireza Sadeghian:
On the use of recurrent neural networks to design symmetric ciphers. IEEE Comput. Intell. Mag. 3(2): 42-53 (2008) - [c18]Vahab Akbarzadeh, Maryam Davoudpour, Alireza Sadeghian:
Neural network modeling of magnetic hysteresis. ETFA 2008: 1267-1270 - [c17]Vahab Akbarzadeh, Alireza Sadeghian, Marcus V. dos Santos:
Derivation of relational fuzzy classification rules using evolutionary computation. FUZZ-IEEE 2008: 1689-1693 - [c16]Hamed Davande, Mahmood Amiri, Alireza Sadeghian, Sylvain Chartier
Auto-associative memory based on a new hybrid model of SFNN and GRNN: Performance comparison with NDRAM, ART2 and MLP. IJCNN 2008: 1698-1703 - 2007
- [c15]Maryam Arvandi, Alireza Sadeghian:
Chosen Plaintext Attack against Neural Network-Based Symmetric Cipher. IJCNN 2007: 847-851 - [c14]Mahmood Amiri, Hamed Davande, Alireza Sadeghian, Seyyed Ali Seyyedsalehi
Auto-Associative Neural Network Based on New Hybrid Model of SFNN and GRNN. IJCNN 2007: 2664-2670 - [c13]Alexander Ferworn, Alireza Sadeghian, Kevin Barnum, Devin Ostrom, Hossein Rahnama, Isaac Woungang:
Canine as Robot in Directed Search. SoSE 2007: 1-5 - [c12]Alexander Ferworn, Alireza Sadeghian, Kevin Barnum, Devin Ostrom, Hossein Rahnama, Isaac Woungang:
Rubble Search with Canine Augmentation Technology. SoSE 2007: 1-6 - [c11]Huy Pham, Alexander Ferworn, Qusay H. Mahmoud
Applying Model-Driven Development Techniques to the Development of Search and Rescue Systems. SoSE 2007: 1-6 - [c10]Hossein Rahnama, Alireza Sadeghian, Asad M. Madni:
Social Context Awareness in Ad Hoc System of Systems. SoSE 2007: 1-6 - 2006
- [c9]Maryam Arvandi, Shuwei Wu, Alireza Sadeghian, William W. Melek, Isaac Woungang:
Symmetric Cipher Design Using Recurrent Neural Networks. IJCNN 2006: 2039-2046 - [c8]Alexander Ferworn, Alireza Sadeghian, Kevin Barnum, Hossein Rahnama, Huy Pham, Carl Erickson, Devin Ostrom, Lucia Dell'Agnese:
Urban search and rescue with canine augmentation technology. SoSE 2006: 1-5 - 2005
- [c7]William W. Melek, Alireza Sadeghian, Homayoun Najjaran, Mina Hoorfar:
A neurofuzzy-based expert system for disease diagnosis. SMC 2005: 3736-3741 - 2004
- [c6]Isaac Woungang, Alireza Sadeghian, William W. Melek:
Bounds on the minimum distances of a class of q-ary images of qm-ary irreducible cyclic codes. ISIT 2004: 185 - 2003
- [j1]Zhongming Ye, Bin Wu, Alireza Sadeghian:
Current signature analysis of induction motor mechanical faults by wavelet packet decomposition. IEEE Trans. Ind. Electron. 50(6): 1217-1228 (2003) - [c5]Sameh Soliman, Alireza Sadeghian:
Fuzzy Karnaugh maps - do they exist? FUZZ-IEEE 2003: 1434-1439 - 2001
- [c4]Alireza Sadeghian:
Nonlinear Neuro-Fuzzy Prediction: Methodology, Design & Applications. FUZZ-IEEE 2001: 1022-1026 - 2000
- [c3]Ali Reza Sadeghian, J. D. Lavers:
Recurrent neuro-fuzzy predictors for multi-step prediction of v-i characteristics of electric arc furnaces. FUZZ-IEEE 2000: 110-115 - [c2]Alireza Sadeghian, J. D. Lavers:
Application of Feedfoward Neuro-Fuzzy Networks for Current Prediction in Electric Arc Furnaces. IJCNN (4) 2000: 420-428
1990 – 1999
- 1999
- [c1]Alireza Sadeghian, J. D. Lavers:
Application of radial basis function networks to model electric arc furnaces. IJCNN 1999: 3996-4001
Coauthor Index
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