University of Tehran Machine Learning and Computational Modeling (MLCM) Lab
Lab Supervisor: Babak N. Araabi
University of Tehran
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Publications (by Babak N. Araabi or other members):

[1]         A. Kalhor, B. N. Aarabi, C. Lucas, and B. Tarvirdizadeh, “A TS Fuzzy Model Derived from a Typical Multi-Layer Perceptron,” Iran. J. Fuzzy Syst., vol. 12, no. 2, pp. 1–21, 2015.

[2]         A. Kalhor, B. N. Araabi, and C. Lucas, “Generating flexible convex hyper-polygon validity regions via sigmoid-based membership functions in TS modeling,” Appl. Soft Comput., vol. 28, pp. 589–598, 2015.

[3]         K. Fouladi and B. N. Araabi, “Toward automatic development of handwritten personal Farsi/Arabic OpenType® fonts,” Int. J. Doc. Anal. Recognit., 2015.

[4]         A. Mousavi, B. Nadjar Araabi, and M. Nili Ahmadabaadi, “Context Transfer and Q-Transferable Tasks,” in Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015.

[5]         S. Jahandari, A. Kalhor, and B. N. Araabi, “A self tuning regulator design for nonlinear time varying systems based on evolving linear models,” Evol. Syst., pp. 1–14, 2015.

[6]         S. Esmaeili, B. N. Araabi, H. Soltanian-Zadeh, and L. Schwabe, “Variational Bayesian learning for Gaussian mixture HMM in seizure prediction based on long term EEG of epileptic rats,” in Biomedical Engineering (ICBME), 2014 21th Iranian Conference on, 2014, pp. 138–143.

[7]         E. Lotfi, B. N. Araabi, M. N. Ahmadabadi, and L. Schwabe, “Biological constrained learning of parameters in a recurrent neural network-based model of the primary visual cortex,” in Biomedical Engineering (ICBME), 2014 21th Iranian Conference on, 2014, pp. 292–297.

[8]         S. H. Hosseini, B. Moshiri, A. Rahimi-Kian, and B. Nadjar Araabi, “Traffic Flow Prediction Using MI Algorithm and Considering Noisy and Data Loss Conditions: An Application to Minnesota Traffic Flow Prediction,” PROMET-Traffic&Transportation, vol. 26, no. 5, pp. 393–403, 2014.

[9]         M.-H. Z. Ashtiani, M. N. Ahmadabadi, and B. N. Araabi, “Bandit-based local feature subset selection,” Neurocomputing, vol. 138, pp. 371–382, 2014.

[10]      K. Fouladi, B. N. Araabi, and E. Kabir, “A fast and accurate contour-based method for writer-dependent offline handwritten Farsi/Arabic subwords recognition,” Int. J. Doc. Anal. Recognit., vol. 17, no. 2, pp. 181–203, 2014.

[11]      M. P. Naeini, B. Moshiri, B. N. Araabi, and M. Sadeghi, “Learning by abstraction: Hierarchical classification model using evidential theoretic approach and Bayesian ensemble model,” Neurocomputing, vol. 130, pp. 73–82, 2014.

[12]      A. Mousavi, B. N. Araabi, and M. N. Ahmadabadi, “Context transfer in reinforcement learning using action-value functions,” Comput. Intell. Neurosci., vol. 2014, p. 52, 2014.

[13]      A. Sarabi-Jamab, B. N. Araabi, and T. Augustin, “Information-based dissimilarity assessment in Dempster--Shafer theory,” Knowledge-Based Syst., vol. 54, pp. 114–127, 2013.

[14]      H. Hajimirsadeghi, M. N. Ahmadabadi, and B. N. Araabi, “Conceptual Imitation Learning Based on Perceptual and Functional Characteristics of Action,” Auton. Ment. Dev. IEEE Trans., vol. 5, no. 4, pp. 311–325, 2013.

[15]      A. Semnani, M. N. Bidhendi, and B. N. Araabi, “Detection of Low-frequency Shadow Zones using Quantum Swarm Evolutionary Matching Pursuit Decomposition (QSE-MPD),” in EAGE Workshop on Seismic Attenuation, 2013.

[16]      A. Moradhasel, B. N. Araabi, S. M. Fakhraie, and M. N. Ahmadabadi, “Fast saliency map extraction from video: A hardware approach,” in Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on, 2013, pp. 64–69.

[17]      Z. Sadeghi, M. N. Ahmadabadi, and B. N. Araabi, “Unsupervised Categorization of Objects into Artificial and Natural Superordinate Classes Using Features from Low-Level Vision,” Int. J. Image Process., vol. 7, no. 4, p. 339, 2013.

[18]      M. R. Kandroodi, F. Shirani, B. N. Araabi, M. N. Ahmadabadi, and M. M. Bassiri, “Defect detection and width estimation in natural gas pipelines using MFL signals,” in Control Conference (ASCC), 2013 9th Asian, 2013, pp. 1–6.

[19]      M. Z. Mehrjerdi, B. Moshiri, G. Amoabediny, A. Ashktorab, and B. N. Araabi, “Model predictive control with sequential linearization approach for a nonlinear time varying biological system,” in Control and Decision Conference (CCDC), 2013 25th Chinese, 2013, pp. 4465–4470.

[20]      M. Z. Mehrjerdi, G. Amoabediny, B. Moshiri, A. Ashktorab, and B. N. Araabi, “Model free predictive control for a nonlinear biological system with intelligent optimization approach,” in Control and Decision Conference (CCDC), 2013 25th Chinese, 2013, pp. 2288–2293.

[21]      M. R. Kandroodi, B. N. Araabi, M. N. Ahmadabadi, F. Shirani, and M. M. Bassiri, “Detection of natural gas pipeline defects using magnetic flux leakage measurements,” in Electrical Engineering (ICEE), 2013 21st Iranian Conference on, 2013, pp. 1–6.

[22]      M. T. Mahmoudi, F. Taghiyareh, and B. N. Araabi, “A neuro-fuzzy immune inspired classifier for task-oriented texts,” J. Intell. Fuzzy Syst. Appl. Eng. Technol., vol. 25, no. 3, pp. 673–683, 2013.

[23]      M. N. Ahmadabadi, E. E. Aksoy, N. Althaus, B. N. Araabi, H. Arie, H. Barron-Gonzalez, J. D. Boucher, R. J. Brand, J. J. Cabibihan, A. Castro-Gonzalez, and others, “2013 Index IEEE Transactions on Autonomous Mental Development Vol. 5,” Brain, vol. 62, p. 73, 2013.

[24]      M. Mirzarezaee, M. Sadeghi, and B. N. Araabi, “Construction and Analysis of Tissue-Specific Protein-Protein Interaction Networks in Humans,” Prog. Biol. Sci., vol. 2, no. 2, pp. 1–13, 2013.

[25]      A. Kalhor, B. N. Araabi, and C. Lucas, “Evolving Takagi--Sugeno fuzzy model based on switching to neighboring models,” Appl. Soft Comput., vol. 13, no. 2, pp. 939–946, 2013.

[26]      S. Ghahremani, M. Nili Ahmadabadi, M. S. Mirian, and B. N. Araabi, “State prediction approach for master-slave agents in presence of communication delay,” in Robotics and Mechatronics (ICRoM), 2013 First RSI/ISM International Conference on, 2013, pp. 396–402.

[27]      M. Mahmoodian, H. Moradi, M. N. Ahmadabadi, and B. N. Araabi, “Hierarchical concept learning based on functional similarity of actions,” in Robotics and Mechatronics (ICRoM), 2013 First RSI/ISM International Conference on, 2013, pp. 1–6.

[28]      A. Kalhor, B. N. Araabi, and C. Lucas, “Online extraction of main linear trends for nonlinear time-varying processes,” Inf. Sci. (Ny)., vol. 220, pp. 22–33, 2013.

[29]      R. Bakhtiari, N. R. Zürcher, O. Rogier, B. Russo, L. Hippolyte, C. Granziera, B. N. Araabi, M. N. Ahmadabadi, and N. Hadjikhani, “Differences in white matter reflect atypical developmental trajectory in autism: a tract-based spatial statistics study,” NeuroImage Clin., vol. 1, no. 1, pp. 48–56, 2012.

[30]      K. Kavousi, M. Sadeghi, B. Moshiri, B. N. Araabi, and A. A. Moosavi-Movahedi, “Evidence theoretic protein fold classification based on the concept of hyperfold,” Math. Biosci., vol. 240, no. 2, pp. 148–160, 2012.

[31]      S. Rezvankhah, A. A. Bagherzadeh, H. Moradi, and B. N. Araabi, “A real-time velocity estimation using motion blur in air hockey,” in Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on, 2012, pp. 1767–1772.

[32]      V. Pashazadeh, B. N. Araabi, and F. R. Salmasi, “Fault Detection and Isolation in Wind Turbine sensor and actuator,” Iran Wind Energy Conf., 2012.

[33]      R. Bakhtiari, N. M. Sephavand, M. N. Ahmadabadi, B. N. Araabi, and H. Esteky, “Computational model of excitatory/inhibitory ratio imbalance role in attention deficit disorders,” J. Comput. Neurosci., vol. 33, no. 2, pp. 389–404, 2012.

[34]      H. Soleimani-B, C. Lucas, B. N. Araabi, and L. Schwabe, “Adaptive prediction of epileptic seizures from intracranial recordings,” Biomed. Signal Process. Control, vol. 7, no. 5, pp. 456–464, 2012.

[35]      H. Soleimani-B, C. Lucas, and B. N. Araabi, “Fast evolving neuro-fuzzy model and its application in online classification and time series prediction,” Pattern Anal. Appl., vol. 15, no. 3, pp. 279–288, 2012.

[36]      E. Foroutana, M. R. Delavarb, and B. N. Araabic, “Integration of Genetic Algorithms and Fuzzy Logic for Urban Growth Modeling,” ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci., vol. 1, pp. 69–74, 2012.

[37]      K. Ashrafi, M. Shafiepour, L. Ghasemi, and B. N. Araabi, “Prediction of Climate Change Induced Temperature Rise in Regional Scale Using Neural Network.,” Int. J. Environ. Res., vol. 6, no. 3, pp. 677–688, 2012.

[38]      H. Azimian, A. Fatehi, and B. N. Araabi, “Takagi-Sugeno control of the elevation channel of a twin-rotor system using closed-loop empirical data,” in American Control Conference (ACC), 2012, 2012, pp. 2615–2620.

[39]      B. N. Araabi and Z. Gharibshah, “Face recognition with manifold-based kernel discriminant analysis,” in Neural Networks (IJCNN), The 2012 International Joint Conference on, 2012, pp. 1–8.

[40]      M. Komijani, C. Lucas, B. N. Araabi, and A. Kalhor, “Introducing evolving Takagi--Sugeno method based on local least squares support vector machine models,” Evol. Syst., vol. 3, no. 2, pp. 81–93, 2012.

[41]      H. Firouzi, M. N. Ahmadabadi, B. N. Araabi, S. Amizadeh, M. S. Mirian, and R. Siegwart, “Interactive Learning in Continuous Multimodal Space: A Bayesian Approach to Action-Based Soft Partitioning and Learning,” Auton. Ment. Dev. IEEE Trans., vol. 4, no. 2, pp. 124–138, 2012.

[42]      K. Kavousi, M. Sadeghi, B. Moshiri, B. N. Araabi, and A. A. Moosavi-Movahedi, “The Concept of Hyperfold and Its Application to Evidence Theoretical Protein Fold Prediction,” in First International Conference on Biophysical Chemistry, 2012.

[43]      S. H. Hosseini, B. Moshiri, A. Rahimi-Kian, and B. N. Araabi, “Traffic speed prediction using mutual information,” in Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on, 2012, pp. 1–4.

[44]      K. Pourhossein, G. B. Gharehpetian, E. Rahimpour, and B. N. Araabi, “A vector-based approach to discriminate radial deformation and axial displacement of transformer winding and determine defect extent,” Electr. Power Components Syst., vol. 40, no. 6, pp. 597–612, 2012.

[45]      S. H. Hosseini, B. Moshiri, A. Rahimi-Kian, and B. N. Araabi, “Short-term traffic flow forecasting by mutual information and artificial neural networks,” in Industrial Technology (ICIT), 2012 IEEE International Conference on, 2012, pp. 1136–1141.

[46]      M. Ajallooeian, M. N. Ahmadabadi, B. N. Araabi, and H. Moradi, “Design, implementation and analysis of an alternation-based Central Pattern Generator for multidimensional trajectory generation,” Rob. Auton. Syst., vol. 60, no. 2, pp. 182–198, 2012.

[47]      A. Kalhor, B. N. Araabi, and C. Lucas, “A new systematic design for habitually linear evolving TS fuzzy model,” Expert Syst. Appl., vol. 39, no. 2, pp. 1725–1736, 2012.

[48]      H. Hajimirsadeghi, M. N. Ahmadabadi, B. N. Araabi, and H. Moradi, “Conceptual imitation learning in a human-robot interaction paradigm,” ACM Trans. Intell. Syst. Technol., vol. 3, no. 2, p. 28, 2012.

[49]      K. Pourhossein, G. B. Gharehpetian, E. Rahimpour, and B. N. Araabi, “A probabilistic feature to determine type and extent of winding mechanical defects in power transformers,” Electr. Power Syst. Res., vol. 82, no. 1, pp. 1–10, 2012.

[50]      K. Ashrafi, G. H. Hoshyaripour, B. N. Araabi, and H. K. Shirazi, “Prediction of daily carbon monoxide concentration using hybrid FS-ANFIS model based on atmospheric stability analysis; case study: city of Tehran,” J. Earth Sp. Phys., vol. 38, pp. 183–201, 2012.

[51]      H. A. Moghanjooghi, B. N. Araabi, and M. N. Ahmadabadi, “Embedding relevance vector machine in fuzzy inference system for energy consumption forecasting,” in Neural Information Processing, Springer Berlin Heidelberg, 2012, pp. 202–209.

[52]      H. Jamalabadi, H. Nasrollahi, M. N. Ahmadabadi, B. N. Araabi, A. Vahabie, and M. Abolghasemi, “A dynamic bio-inspired model of categorization,” in Neural Information Processing, Springer Berlin Heidelberg, 2012, pp. 160–167.

[53]      S. Eghbali, M. H. Z. Ashtiani, M. N. Ahmadabadi, and B. N. Araabi, “Bandit-based structure learning for bayesian network classifiers,” in Neural Information Processing, Springer Berlin Heidelberg, 2012, pp. 349–356.

[54]      S. Eghbali, M. N. Ahmadabadi, B. N. Araabi, and M. Mirian, “Learning attentive fusion of multiple bayesian network classifiers,” in Neural Information Processing, Springer Berlin Heidelberg, 2012, pp. 133–140.

[55]      M. S. Mirian, B. N. Araabi, M. N. Ahmadabadi, and R. R. Siegwart, “METAL: A framework for mixture-of-experts task and attention learning,” J. Intell. Fuzzy Syst., vol. 23, no. 4, pp. 111–128, 2012.

[56]      A. Kalhor, B. N. Araabi, and C. Lucas, “Reducing the number of local linear models in neuro-fuzzy modeling: A split-and-merge clustering approach,” Appl. Soft Comput., vol. 11, no. 8, pp. 5582–5589, 2011.

[57]      S. A. Ghazvini, H. Moradi, M. N. Ahmadabadi, and B. Araabi, “Fast outcome prediction based on slow cause estimation: A human inspired approach in air hockey game,” in Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on, 2011, pp. 2810–2815.

[58]      M. Mirzarezaee, M. Sadeghi, and B. N. Araabi, “Dynamical analysis of yeast protein interaction network during the sake brewing process,” J. Microbiol., vol. 49, no. 6, pp. 965–973, 2011.

[59]      M. G. Sharabiany, A. Fatehi, and B. N. Araabi, “An adaptive neuro fuzzy controller for cement kiln,” in Instrumentation Control and Automation (ICA), 2011 2nd International Conference on, 2011, pp. 65–70.

[60]      H. Kebriaei, B. N. Araabi, and A. Rahimi-Kian, “Short-term load forecasting with a new nonsymmetric penalty function,” Power Syst. IEEE Trans., vol. 26, no. 4, pp. 1817–1825, 2011.

[61]      M. Reza Badello, B. Moshiri, B. N. Araabi, and H. Tebianian, “A novel detection and navigation approach based on OWA fusion method,” Sens. Rev., vol. 31, no. 4, pp. 328–340, 2011.

[62]      M. Mirmomeni, C. Lucas, B. N. Araabi, B. Moshiri, and M. R. Bidar, “Recursive spectral analysis of natural time series based on eigenvector matrix perturbation for online applications,” Signal Process. IET, vol. 5, no. 6, pp. 515–526, 2011.

[63]      M. Mirmomeni, C. Lucas, B. N. Araabi, B. Moshiri, and M. R. Bidar, “Online multi-step ahead prediction of time-varying solar and geomagnetic activity indices via adaptive neurofuzzy modeling and recursive spectral analysis,” Sol. Phys., vol. 272, no. 1, pp. 189–213, 2011.

[64]      M. Sadeghi, B. Araabi, and M. Mirzarezaee, “Identification of date and party hubs in protein interaction network of Saccharomyces Cerevisiae,” Dep. Bioeng. Bioinforma. MV Lomonosov Moscow State Univ., p. 332, 2011.

[65]      A. Habibian, M. Nili-Ahmadabadi, and B. N. Araabi, “Extracting salient lines by Visual Attention for omnidirectional image classification,” in Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), 2011 IEEE Symposium on, 2011, pp. 12–18.

[66]      A. Sarabi-Jamab and B. N. Araabi, “PiLiMoT: A Modified Combination of LoLiMoT and PLN Learning Algorithms for Local Linear Neurofuzzy Modeling,” J. Control Sci. Eng., vol. 2011, 2011.

[67]      E. Norouzi, M. N. Ahmadabadi, and B. N. Araabi, “Attention control with reinforcement learning for face recognition under partial occlusion,” Mach. Vis. Appl., vol. 22, no. 2, pp. 337–348, 2011.

[68]      K. Kavousi, B. Moshiri, M. Sadeghi, B. N. Araabi, and A. A. Moosavi-Movahedi, “A protein fold classifier formed by fusing different modes of pseudo amino acid composition via PSSM,” Comput. Biol. Chem., vol. 35, no. 1, pp. 1–9, 2011.

[69]      A. Bakhtiari, F. Bahrami, and B. N. Araabi, “Real time estimation and tracking of human body Center of Mass using 2D video imaging,” in Biomedical Engineering (MECBME), 2011 1st Middle East Conference on, 2011, pp. 138–141.

[70]      M. Aghagolzadeh, H. Soltanian-Zadeh, and B. N. Araabi, “Information theoretic hierarchical clustering,” Entropy, vol. 13, no. 2, pp. 450–465, 2011.

[71]      M. S. Mirian, M. N. Ahmadabadi, B. N. Araabi, and R. R. Siegwart, “Learning active fusion of multiple experts’ decisions: An attention-based approach,” Neural Comput., vol. 23, no. 2, pp. 558–591, 2011.

[72]      M. S. Mirian, M. N. Ahmadabadi, B. N. Araabi, and M. M. Ajallooeian, “LEARNING WITH WHICH LOCAL DECISION EXPERT TO CONSULT NEXT CASE STUDY: ARRHYTHMIA DIAGNOSIS,” Int. J. Innov. Comput. Inf. Control, vol. 7, no. 1, pp. 289–299, 2011.

[73]      E. Arani, C. Lucas, and B. N. Araabi, “WLoLiMoT: A Wavelet and LoLiMoT Based Algorithm for Time Series Prediction,” in Integrated Systems, Design and Technology 2010, Springer Berlin Heidelberg, 2011, pp. 345–355.

[74]      A. Borji, M. N. Ahmadabadi, and B. N. Araabi, “Cost-sensitive learning of top-down modulation for attentional control,” Mach. Vis. Appl., vol. 22, no. 1, pp. 61–76, 2011.

[75]      M. M. TAYEFEH, F. TAGHIYAREH, and A. B. NADJAR, “AN ONTOLOGY-BASED FRAMEWORK FOR ORGANIZING RESEARCH SUPPORT CONTENTS IN E-LEARNING ENVIRONMENT,” Int. J. Inf. Commun. Technol., 2011.

[76]      M. Mirmomeni, C. Lucas, B. Moshiri, and B. N. Araabi, “Introducing adaptive neurofuzzy modeling with online learning method for prediction of time-varying solar and geomagnetic activity indices,” Expert Syst. Appl., vol. 37, no. 12, pp. 8267–8277, 2010.

[77]      M. Mirzarezaee, B. N. Araabi, and M. Sadeghi, “Features analysis for identification of date and party hubs in protein interaction network of Saccharomyces Cerevisiae,” BMC Syst. Biol., vol. 4, no. 1, p. 172, 2010.

[78]      B. Oshidari and B. N. Araabi, “An effective feature extraction method for facial expression recognition using adaptive Gabor wavelet,” in Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on, 2010, vol. 2, pp. 776–780.

[79]      A. Habibian, A. Borj, M. N. Ahmadabadi, and B. N. Araabi, “A Visual Attention Model for Omnidirectional Images,” Aust. J. Intell. Inf. Process. Syst., vol. 11, no. 2, p. 23, 2010.

[80]      A. Borji, M. N. Ahmadabadi, and B. N. Araabi, “Simultaneous learning of spatial visual attention and physical actions,” in Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on, 2010, pp. 1270–1276.

[81]      M. T. Harandi, M. N. Ahmadabadi, B. N. Araabi, A. Bigdeli, and B. C. Lovell, “Directed random subspace method for face recognition,” in Pattern Recognition (ICPR), 2010 20th International Conference on, 2010, pp. 2688–2691.

[82]      N. Tajbakhsh, B. N. Araabi, and H. Soltanian-Zadeh, “Robust Iris Verification Based on Local and Global Variations,” EURASIP J. Adv. Signal Process., vol. 2010, 2010.

[83]      A. Kalhor, B. N. Araabi, and C. Lucas, “An online predictor model as adaptive habitually linear and transiently nonlinear model,” Evol. Syst., vol. 1, no. 1, pp. 29–41, 2010.

[84]      A. Borji, M. N. Ahmadabadi, B. N. Araabi, and M. Hamidi, “Online learning of task-driven object-based visual attention control,” Image Vis. Comput., vol. 28, no. 7, pp. 1130–1145, 2010.

[85]      B. M. Ebrahimi, J. Faiz, and B. N. Araabi, “Pattern identification for eccentricity fault diagnosis in permanent magnet synchronous motors using stator current monitoring,” IET Electr. power Appl., vol. 4, no. 6, pp. 418–430, 2010.

[86]      M. S. Hosseini, B. N. Araabi, and H. Soltanian-Zadeh, “Pigment melanin: pattern for iris recognition,” Instrum. Meas. IEEE Trans., vol. 59, no. 4, pp. 792–804, 2010.

[87]      R. Noori, G. Hoshyaripour, K. Ashrafi, and B. N. Araabi, “Uncertainty analysis of developed ANN and ANFIS models in prediction of carbon monoxide daily concentration,” Atmos. Environ., vol. 44, no. 4, pp. 476–482, 2010.

[88]      F. Shirani, M. J. Yazdanpanah, and B. N. Araabi, “Comments on" Controller Synthesis of Fuzzy-Dynamic Systems Based on Piecewise Lyapunov Functions,” Fuzzy Syst. IEEE Trans., vol. 18, no. 1, pp. 227–228, 2010.

[89]      A. Farahmand, M. N. Ahmadabadi, C. Lucas, and B. N. Araabi, “Interaction of culture-based learning and cooperative co-evolution and its application to automatic behavior-based system design,” Evol. Comput. IEEE Trans., vol. 14, no. 1, pp. 23–57, 2010.

[90]      A. Kalhor, B. N. Araabi, and C. Lucas, “A new high-order Takagi-Sugeno fuzzy model based on deformed linear models,” Amirkabir Int. J. Model. Identification, Simul. Control, vol. 42, no. 2, pp. 43–52, 2010.

[91]      H. Hajimirsadeghi, M. N. Ahmadabadi, M. Ajallooeian, B. N. Araabi, and H. Moradi, “Conceptual Imitation Learning: An Application to Human-robot Interaction.,” in ACML, 2010, pp. 331–346.

[92]      H. Soleimani-B, C. Lucas, and B. N. Araabi, “Recursive Gath--Geva clustering as a basis for evolving neuro-fuzzy modeling,” Evol. Syst., vol. 1, no. 1, pp. 59–71, 2010.

[93]      B. Hosseini, M. N. Ahmadabadi, and B. N. Araabi, “Abstract Concept Learning Approach Based on Behavioural Feature Extraction,” in Computer and Electrical Engineering, 2009. ICCEE’09. Second International Conference on, 2009, vol. 1, pp. 574–579.

[94]      N. Noori, M. N. Ahmadabadi, M. S. Mirian, and B. N. Araabi, “Speeding up top-down attention control learning by using full observation knowledge,” in Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on, 2009, pp. 369–374.

[95]      M. Esfandiari, B. N. Araabi, A. Fatehi, and A. Vali, “A new method to guarantee performance and robustness in optimal fuzzy controller design for perturbed nonlinear systems based on piecewise discontinues lyapunov functions,” in Control and Automation, 2009. ICCA 2009. IEEE International Conference on, 2009, pp. 1388–1393.

[96]      G. Noshirvani, A. Fatehi, B. Araabi, M. Shirvani, and M. Azizi, “Comparison of rotary cement kiln identified models,” in Control and Automation, 2009. ICCA 2009. IEEE International Conference on, 2009, pp. 1290–1295.

[97]      M. Mirmomeni, C. Lucas, M. Shafiee, B. N. Araabi, and E. Kamaliha, “Fuzzy descriptor systems and spectral analysis for chaotic time series prediction,” Neural Comput. Appl., vol. 18, no. 8, pp. 991–1004, 2009.

[98]      I. Makaremi, A. Fatehi, B. N. Araabi, M. Azizi, and A. Cheloeian, “Abnormal condition detection in a cement rotary kiln with system identification methods,” J. Process Control, vol. 19, no. 9, pp. 1538–1545, 2009.

[99]      F. Dadashi, B. N. Araabi, and H. Soltanian-Zadeh, “Gait recognition using wavelet packet silhouette representation and transductive support vector machines,” in Image and Signal Processing, 2009. CISP’09. 2nd International Congress on, 2009, pp. 1–5.

[100]    M. Ajallooeian, M. N. Ahmadabadi, B. N. Araabi, and H. Moradi, “An imitation model based on central pattern generator with application in robotic marionette behavior learning,” in Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on, 2009, pp. 4199–4205.

[101]    M. Ajallooeian, A. Borji, B. N. Araabi, M. N. Ahmadabadi, and H. Moradi, “Fast hand gesture recognition based on saliency maps: An application to interactive robotic marionette playing,” in Robot and human interactive communication, 2009. ro-man 2009. the 18th ieee international symposium on, 2009, pp. 841–847.

[102]    M. R. Yousefi, B. S. Kasmaei, A. Vahabie, C. Lucas, and B. N. Araabi, “Input selection based on information theory for constructing predictor models of solar and geomagnetic activity indices,” Sol. Phys., vol. 258, no. 2, pp. 297–318, 2009.

[103]    M. Mirmomeni, C. Lucas, and B. N. Araabi, “Introducing recursive learning algorithm for system identification of nonlinear time varying processes,” in Control and Automation, 2009. MED’09. 17th Mediterranean Conference on, 2009, pp. 736–741.

[104]    H. Karbasian, M. N. Ahmadabadi, and B. N. Araabi, “Improving reinforcement learning using temporal-difference network EUROCON2009,” in EUROCON 2009, EUROCON’09. IEEE, 2009, pp. 1716–1722.

[105]    H. Karbasian, M. N. Ahmadabadi, and B. N. Araabi, “Concept extraction using temporal-difference network EUROCON2009,” in EUROCON 2009, EUROCON’09. IEEE, 2009, pp. 1888–1894.

[106]    A. Borji, M. N. Ahmadabadi, and B. N. Araabi, “Learning sequential visual attention control through dynamic state space discretization,” in Robotics and Automation, 2009. ICRA’09. IEEE International Conference on, 2009, pp. 2258–2263.

[107]    M. T. Harandi, M. N. Ahmadabadi, and B. N. Araabi, “Optimal local basis: A reinforcement learning approach for face recognition,” Int. J. Comput. Vis., vol. 81, no. 2, pp. 191–204, 2009.

[108]    M. S. Mirian, M. N. Ahmadabadi, B. N. Araabi, and R. R. Siegwart, “Comparing learning attention control in perceptual and decision space,” in Attention in cognitive systems, Springer Berlin Heidelberg, 2009, pp. 242–256.

[109]    S. H. Hosseini, M. Shabanian, and B. N. Araabi, “A Neuro-Fuzzy Control for TCP Network Congestion,” in Applications of Soft Computing, Springer Berlin Heidelberg, 2009, pp. 93–101.

[110]    M. Shabanian, S. H. Hosseini, and B. N. Araabi, “An analysis of the disturbance on TCP network congestion,” in Applications of Soft Computing, Springer Berlin Heidelberg, 2009, pp. 115–123.

[111]    G. H. Hajimirsadeghi, M. Nabaee, and B. N. Araabi, “Ant colony optimization with a genetic restart approach toward global optimization,” in Advances in Computer Science and Engineering, Springer Berlin Heidelberg, 2009, pp. 9–16.

[112]    A. Arami and B. N. Araabi, “A Clustering Method Based on Soft Learning of Model (Prototype) and Dissimilarity Metrics,” in Advances in Computer Science and Engineering, Springer Berlin Heidelberg, 2009, pp. 33–40.

[113]    N. Tajbakhsh, B. N. Araabi, and H. Soltanian-Zadeh, “Noisy iris verification: a modified version of local intensity variation method,” in Advances in Biometrics, Springer Berlin Heidelberg, 2009, pp. 1150–1159.

[114]    A. Kalhor, B. N. Araabi, and C. Lucas, “Online identification of a neuro-fuzzy model through indirect fuzzy clustering of data space,” in Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on, 2009, pp. 356–360.

[115]    M. S. Mirian, H. Firouzi, M. N. Ahmadabadi, and B. N. Araabi, “Concurrent learning of task and attention control in the decision space,” in Advanced Intelligent Mechatronics, 2009. AIM 2009. IEEE/ASME International Conference on, 2009, pp. 1353–1358.

[116]    R. Doostmohammadi, M. Moosavi, and B. N. Araabi, “A model for determining the cyclic swell--shrink behavior of argillaceous rock,” Appl. Clay Sci., vol. 42, no. 1, pp. 81–89, 2008.

[117]    M. A. Rahman, R. M. Milasi, C. Lucas, B. N. Araabi, and T. S. Radwan, “Implementation of emotional controller for interior permanent-magnet synchronous motor drive,” Ind. Appl. IEEE Trans., vol. 44, no. 5, pp. 1466–1476, 2008.

[118]    O. Namaki-Shoushtari, A. K. Sedigh, and B. N. Araabi, “A QFT/EEAS Design of Multivariable Robust Adaptive Controllers,” in World Congress, 2008, vol. 17, no. 1, pp. 6154–6159.

[119]    I. Makaremi, A. Fatehi, B. N. Araabi, M. Azizi, and A. Cheloeian, “Identification and abnormal condition detection of a cement rotary kiln,” 17th IFAC world Congr. Seoul, Korea, 2008.

[120]    M. Fallahpour, A. Fatehi, B. N. Araabi, and M. Azizi, “A neurofuzzy Controller for Rotory cement Kiln,” 17th World Congr. Int. Fed. Autom. Control. Korea, 2008.

[121]    I. Makaremi, A. Fatehi, and B. N. Araabi, “Lipschitz numbers: a medium for delay estimation,” 17th IFAC world Congr. Seoul, Korea, 2008.

[122]    N. Tajbakhsh, B. N. Araabi, and H. Soltanianzadeh, “Feature fusion as a practical solution toward noncooperative iris recognition,” in Information Fusion, 2008 11th International Conference on, 2008, pp. 1–7.

[123]    A. Borji, M. N. Ahmadabadi, and B. N. Araabi, “Author manuscript, published in‘ Workshop on Vision in Action: Efficient strategies for cognitive agents in complex environments, Marseille: France (2008)’ Offline Learning of Top-down Object based Attention Control,” 2008.

[124]    M. Mirmomeni, C. Lucas, and B. N. Araabi, “Using Neurofuzzy Models and Spectral Analysis for Prediction of the Exotic Phenomena with Catastrophic Jumps,” in Computational Science and Its Applications--ICCSA 2008, Springer Berlin Heidelberg, 2008, pp. 1156–1170.

[125]    M. Mirmomeni, C. Lucas, and B. N. Araabi, “Workshop on PULSES--Logical, Technical and Computational Aspects of Transformations and Suddenly Emerging Phenomena (PULSES 2008)-Using Neurofuzzy Models and Spectral Analysis for Prediction of the Exotic Phenomena with Catastrophic Jumps,” Lect. Notes Comput. Sci., vol. 5073, p. 1156, 2008.

[126]    M. T. Harandi, M. N. Ahmadabadi, and B. N. Araabi, “Multiresolution local binary pattern for face recognition,” Proc. Int. Conf. Comput. Theory Appl., 2008.

[127]    A. Borji, M. N. Ahmadabadi, B. N. Araabi, and others, “Offline learning of top-down object based attention control,” in Workshop on Vision in Action: Efficient strategies for cognitive agents in complex environments, 2008.

[128]    A. Borji, M. N. Ahmadabadi, and B. N. Araabi, “Interactive learning of top-down attention control and motor actions,” Work. From Mot. to Interact. Learn. Robot. IROS, 2008.

[129]    A. Borji, M. N. Ahmadabadi, and B. N. Araabi, “Learning top-down feature based attention control,” Work. on’Vision Action Effic. Strateg. Cogn. agents complex Environ. ECCV, 2008.

[130]    H. Firouzi, M. N. Ahmadabadi, and B. N. Araabi, “A probabilistic reinforcement-based approach to conceptualization,” Int. J. Intell. Technol., vol. 3, no. 1, 2008.

[131]    N. Tajbakhsh, B. N. Araabi, and H. Soltanianzadeh, “An intelligent decision combiner applied to noncooperative iris recognition,” in Information Fusion, 2008 11th International Conference on, 2008, pp. 1–6.

[132]    M. Mirmomeni, C. Lucas, M. Shafiee, and B. N. Araabi, “Introducing an incremental learning method for fuzzy descriptor models to identify nonlinear singular systems,” in Control and Automation, 2008 16th Mediterranean Conference on, 2008, pp. 753–758.

[133]    F. Tahersima and B. N. Araabi, “Approximation of a map and its derivatives with an RBF Network using input-output clustering,” in Neural Networks, 2008. IJCNN 2008.(IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, 2008, pp. 3112–3117.

[134]    F. Shirani, B. N. Araabi, and M. J. Yazdanpanah, “Fuzzy modelling of nonlinear systems for stability analysis based on piecewise quadratic Lyapunov functions,” in Fuzzy Systems, 2008. FUZZ-IEEE 2008.(IEEE World Congress on Computational Intelligence). IEEE International Conference on, 2008, pp. 2230–2235.

[135]    E. Aatashpaz-Gargari, B. N. Araabi, and C. Lucas, “Optimal fuzzy passing strategy for robot soccer players,” in Fuzzy Systems, 2008. FUZZ-IEEE 2008.(IEEE World Congress on Computational Intelligence). IEEE International Conference on, 2008, pp. 1576–1581.

[136]    R. Doostmohammadi, M. Moosavi, and B. N. Araabi, “Modelling time dependent swelling potential of mudrock using laboratory tests and artificial neural network,” Min. Technol., vol. 117, no. 1, pp. 32–41, 2008.

[137]    H. Sabeti, A. Javaherian, and B. N. Araabi, “Seismic facies analysis based on hierarchical clustering in Jofair oil field, southwest Iran,” in GEO 2008, 2008.

[138]    M. N. Ahmadabadi, B. N. Araabi, S. R. Aroor, N. Balakrishnan, S. M. Biemer, R. V Boppana, K. Cha, S. Chalasani, S. Y. Chang, C. C. Chu, and others, “2007 Index IEEE Systems Journal Vol.,” IEEE Syst. J., vol. 1, no. 2, p. 181, 2007.

[139]    M. Maghami, R. A. Zoroofi, B. N. Araabi, M. Shiva, and E. Vahedi, “Kalman filter tracking for facial expression recognition using noticeable feature selection,” in Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on, 2007, pp. 587–590.

[140]    M. Maghami, B. N. Araabi, R. A. Zoroofi, and M. Shiva, “Facial expression recognition using conspicuous features selection and comparison of the performance of different classifiers,” in Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on, 2007, pp. 904–907.

[141]    J. Rezaie, F. Tourani, B. Moshiri, and B. N. Araabi, “Data-based modelling of nonlinear systems using a modified LOLIMOT algorithm,” in Advanced Fuzzy and Neural Control, 2007, vol. 3, no. 1, pp. 25–30.

[142]    M. Mirmomeni, C. Lucas, B. N. Araabi, and B. Moshiri, “Forecasting solar activity using co-evolution of models and tests,” in Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on, 2007, pp. 629–634.

[143]    F. Shirani, M. J. Yazdanpanah, and B. N. Araabi, “Fuzzy-model-based exponentially stabilizing perturbed nonlinear systems in the presence of modeling error,” in Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on, 2007, pp. 3901–3906.

[144]    A. Yazdani, P. Ataee, S. K. Setarehdan, B. N. Araabi, and C. Lucas, “Neural, Fuzzy And Neurofuzzy Approach To Classification Of Normal And Alcoholic Electroencephalograms,” in Image and Signal Processing and Analysis, 2007. ISPA 2007. 5th International Symposium on, 2007, pp. 102–106.

[145]    J. Rezaie, B. Moshiri, and B. N. Araabi, “distributed estimation fusion with global track feedback using a modified LOLIMOT algorithm,” in SICE, 2007 Annual Conference, 2007, pp. 2966–2973.

[146]    J. Rezaie, B. Moshiri, B. N. Araabi, and A. Asadian, “GPS/INS integration using nonlinear blending filters,” in SICE, 2007 Annual Conference, 2007, pp. 1674–1680.

[147]    M. Aghagolzadeh, H. Soltanian-Zadeh, B. Araabi, and A. Aghagolzadeh, “A hierarchical clustering based on mutual information maximization,” in Image Processing, 2007. ICIP 2007. IEEE International Conference on, 2007, vol. 1, pp. I–277.

[148]    S. Amizadeh, M. N. Ahmadabadi, B. N. Araabi, and R. Siegwart, “A bayesian approach to conceptualization using reinforcement learning,” in Advanced intelligent mechatronics, 2007 IEEE/ASME international conference on, 2007, pp. 1–7.

[149]    H. Sabeti, A. Javaherian, and N. D. Araabi, “Principal component analysis applied to seismic horizon interpretations,” Int. Congr. Pet. Geostatistics, Cascais, Port., pp. 10–14, 2007.

[150]    A. Harati, M. N. Ahmadabadi, and B. N. Araabi, “Knowledge-based multiagent credit assignment: A study on task type and critic information,” Syst. Journal, IEEE, vol. 1, no. 1, pp. 55–67, 2007.

[151]    J. Rezaie, B. Moshiri, and B. Araabi, “Land vehicle state estimation using a modified LOLIMOT algorithm,” in Advances in Automotive Control, 2007, vol. 5, no. 1, pp. 47–54.

[152]    J. Rezaie, B. Moshiri, A. Rafati, and B. N. Araabi, “A Modified LOLIMOT Algorithm for Nonlinear Estimation Fusion,” in Information Reuse and Integration, 2007. IRI 2007. IEEE International Conference on, 2007, pp. 520–525.

[153]    M. Mirmomeni, C. Lucas, B. N. Araabi, and M. Shafiee, “Forecasting sunspot numbers with the aid of fuzzy descriptor models,” Sp. Weather, vol. 5, no. 8, 2007.

[154]    J. Rezaie, B. Moshiri, A. Rafati, and B. N. Araabi, “Modified LOLIMOT algorithm for nonlinear centralized Kalman filtering fusion,” in Information Fusion, 2007 10th International Conference on, 2007, pp. 1–8.

[155]    M. Yousefi, B. N. Araabi, C. Lucas, S. Barghinia, and others, “Combination of singular spectrum analysis and autoregressive model for short term load forecasting,” in Power Tech, 2007 IEEE Lausanne, 2007, pp. 1090–1093.

[156]    H. Azimian, A. Fatehi, and B. N. Araabi, “Closed-loop global fuzzy TSK modeling: A case study,” in Control & Automation, 2007. MED’07. Mediterranean Conference on, 2007, pp. 1–6.

[157]    A. H. Vahabie, M. M. R. Yousefi, B. N. Araabi, C. Lucas, S. Barghinia, and P. Ansarimehr, “Mutual information based input selection in neuro-fuzzy modeling for short term load forecasting of iran national power system,” in Control and Automation, 2007. ICCA 2007. IEEE International Conference on, 2007, pp. 2710–2715.

[158]    M. T. Harandi, M. N. Ahmadabadi, and B. N. Araabi, “A hierarchical face identification system based on facial components,” in Computer Systems and Applications, 2007. AICCSA’07. IEEE/ACS International Conference on, 2007, pp. 669–675.

[159]    A. Gholipour, C. Lucas, B. N. Araabi, M. Mirmomeni, and M. Shafiee, “Extracting the main patterns of natural time series for long-term neurofuzzy prediction,” Neural Comput. Appl., vol. 16, no. 4–5, pp. 383–393, 2007.

[160]    H. Rouhani, M. Jalili, B. N. Araabi, W. Eppler, and C. Lucas, “Brain emotional learning based intelligent controller applied to neurofuzzy model of micro-heat exchanger,” Expert Syst. Appl., vol. 32, no. 3, pp. 911–918, 2007.

[161]    A. Kalhor, B. N. Araabi, and C. Lucas, “A new split and merge algorithm for structure identification in Takagi-Sugeno fuzzy model,” in Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on, 2007, pp. 258–261.

[162]    M. Fallahpour, A. Fatehi, B. N. Araabi, and M. Azizi, “A supervisory fuzzy control of back-end temperature of rotary cement kilns,” in Control, Automation and Systems, 2007. ICCAS’07. International Conference on, 2007, pp. 429–434.

[163]    M. Mirmomeni, C. Lucas, and B. N. Araabi, “1 Long-term prediction of solar activity using spectral analysis and multi input multi output neuro-fuzzy models,” Geophys. Res. Abstr., vol. 9, p. 1687, 2007.

[164]    A. Arami, B. N. Araabi, C. Lucas, and M. N. Ahmadabadi, “Learning Cluster Type and Dissimilarity Metric for Each Cluster Using a Set of Possible Cluster Types,” CSI J. Comput. Sci. Eng., vol. 5, no. EPFL-ARTICLE-169173, pp. 33–45, 2007.

[165]    R. Bakhtiari, B. N. Araabi, and M. Nili AhmadAbadi, “A cooperative learning approach to Mixed Performance Controller design: a behavioural viewpoint,” Int. J. Intell. Syst. Technol. Appl., vol. 2, no. 2–3, pp. 137–160, 2007.

[166]    H. Rouhani, A. Sadeghzadeh, C. Lucas, and B. N. Araabi, “Emotional learning based intelligent speed and position control applied to neurofuzzy model of switched reluctance motor,” Control Cybern., vol. 36, no. 1, p. 75, 2007.

[167]    A. Poursaberi and B. N. Araabi, “Iris recognition for partially occluded images: methodology and sensitivity analysis,” EURASIP J. Appl. Signal Processing, vol. 2007, no. 1, p. 20, 2007.

[168]    B. N. Araabi, S. Mastoureshgh, and M. N. Ahmadabadi, “A Study on Expertise of Agents and Its Effects on Cooperative-Learning,” Syst. Man, Cybern. Part B Cybern. IEEE Trans., vol. 37, no. 2, pp. 398–409, 2007.

[169]    H. Mobahi, M. N. Ahmadabadi, and B. Nadjar Araabi, “A biologically inspired method for conceptual imitation using reinforcement learning,” Appl. Artif. Intell., vol. 21, no. 3, pp. 155–183, 2007.

[170]    M. T. Harandi, M. N. Ahmadabadi, and B. N. Araabi, “A hybrid model for face recognition using facial components,” in Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on, 2007, pp. 1–4.

[171]    H. Vosoughpour, M. N. Ahmadabadi, M. S. Mirian, and B. N. Araabi, “Hierarchical functional concept formation using reinforcement learning,” Proceeding of WCECS, ICMWA, 2007.

[172]    A. Poursaberi and B. N. Araabi, “Iris Recognition for Partially Occluded mages: Methodology and Sensitivity Analysis,” EURASIP J. Adv. Signal Process., vol. 1, pp. 12–14, 2007.

[173]    S. M. Hosseini, B. N. Araabi, and H. Soltanian-Zadeh, “Shape analysis of stroma for iris recognition,” in Advances in Biometrics, Springer Berlin Heidelberg, 2007, pp. 790–799.

[174]    M. Mirmomeni, C. Lucas, M. Shafiee, and B. N. Araabi, “1 Solar activity forecasting using spectral analysis and fuzzy descriptor models,” Geophys. Res. Abstr., vol. 9, p. 1688, 2007.

[175]    M. Mirmomeni, M. Shafiee, C. Lucas, and B. N. Araabi, “Introducing a new learning method for fuzzy descriptor systems with the aid of spectral analysis to forecast solar activity,” J. Atmos. Solar-Terrestrial Phys., vol. 68, no. 18, pp. 2061–2074, 2006.

[176]    H. Nourzadeh, A. Fatehi, B. Labibi, and B. N. Araabi, “An experimental nonlinear system identification based on local linear neuro-fuzzy models,” in Industrial Technology, 2006. ICIT 2006. IEEE International Conference on, 2006, pp. 2274–2279.

[177]    M. Aghagolzadeh, H. Soltanian-Zadeh, B. N. Araabi, and A. Aghagolzadeh, “Finding the number of clusters in a dataset using an information theoretic hierarchical algorithm,” in Electronics, Circuits and Systems, 2006. ICECS’06. 13th IEEE International Conference on, 2006, pp. 1336–1339.

[178]    M. Jalili and B. N. Araabi, “A linear programming approach for calculation of all stabilizing parameters of lead/lag controllers,” Asian J. Control, vol. 8, no. 4, pp. 408–411, 2006.

[179]    C. Lucas, R. M. Milasi, and B. N. Araabi, “Intelligent modeling and control of washing machine using locally linear neuro-fuzzy (llnf) modeling and modified brain emotional learning based intelligent controller (BELBIC),” Asian J. Control, vol. 8, no. 4, pp. 393–400, 2006.

[180]    A. Gholipour, B. N. Araabi, and C. Lucas, “Predicting chaotic time series using neural and neurofuzzy models: a comparative study,” neural Process. Lett., vol. 24, no. 3, pp. 217–239, 2006.

[181]    P. K. Tadavani, B. Moshiri, and B. N. Araabi, “Adaptive Data Fusion Structure,” in Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on, 2006, p. 192.

[182]    R. Mehran, A. Fatehi, C. Lucas, and B. N. Araabi, “Particle swarm extension to LOLIMOT,” in Intelligent Systems Design and Applications, 2006. ISDA’06. Sixth International Conference on, 2006, vol. 2, pp. 969–974.

[183]    H. Rouhani, M. N. Bahrami, B. N. Araabi, and C. Lucas, “Neurofuzzy modeling of natural frequencies of cylindrical shells applied to evolutionary based optimal design of SR motors,” Int. J. Comput. Methods, vol. 3, no. 03, pp. 263–277, 2006.

[184]    H. Mobahi, M. N. Ahmadabadi, and B. N. Araabi, “Swarm contours: A fast self-organization approach for snake initialization,” Complexity, vol. 12, no. 1, pp. 41–52, 2006.

[185]    M. Aghagolzadeh, H. Soltanian-Zadeh, and B. N. Araabi, “Multiscale Face Detection: A New Approach to Robust Face Detection,” in Fuzzy Systems, 2006 IEEE International Conference on, 2006, pp. 1229–1234.

[186]    M. G. Azar, M. N. Ahmadabadi, A. M. Farahmand, and B. N. Araabi, “Learning to coordinate behaviors in soft behavior-based systems using reinforcement learning,” in Neural Networks, 2006. IJCNN’06. International Joint Conference on, 2006, pp. 241–248.

[187]    A. Sadeghzadeh and B. N. Araabi, “Auto-tune predictive control of switched reluctance motor,” in Industrial Electronics, 2006 IEEE International Symposium on, 2006, vol. 1, pp. 335–340.

[188]    A. S. Jamab and B. N. Araabi, “A learning algorithm for local linear neuro-fuzzy models with self-construction through merge & split,” in Cybernetics and Intelligent Systems, 2006 IEEE Conference on, 2006, pp. 1–6.

[189]    J. Sharifie, C. Lucas, and B. N. Araabi, “Locally linear neurofuzzy modeling and prediction of geomagnetic disturbances based on solar wind conditions,” Sp. Weather, vol. 4, no. 6, 2006.

[190]    H. Esmaeilzadeh, P. Saeedi, B. N. Araabi, C. Lucas, and S. M. Fakhraie, “Neural network stream processing core (NnSP) for embedded systems,” in Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on, 2006, p. 4–pp.

[191]    M. Khajenejad, F. Afshinmanesh, A. Marandi, and B. N. Araabi, “Intelligent particle swarm optimization using Q-learning,” Proc. IEEE Swarm Intell. Symp, pp. 7–12, 2006.

[192]    J. Sharifi, B. N. Araabi, and C. Lucas, “Multi-step prediction of Dst index using singular spectrum analysis and locally linear neurofuzzy modeling,” Earth, planets Sp., vol. 58, no. 3, pp. 331–341, 2006.

[193]    D. Daylamani Zad, B. N. Araabi, C. Lucas, and others, “A novel approach to automatic music composing: Using genetic algorithm,” Int. Comput. Music Conf. Proc., vol. 2006, pp. 551–555, 2006.

[194]    S. H. Shahri, C. Lucas, and B. N. Araabi, “Identifying Duplicate Records by Using Estimation of Distribution Algorithms to Learn the Semantics,” Proc. 11th Int. CSI Comput. Conf. (CSICC’06), Tehran, Iran, 2006.

[195]    A. Sarabi-Jamab and B. N. Araabi, “Piecewise Linear Model Tree: A modified combination of two learning algorithms for neuro-fuzzy models,” 2006 IEEE Conf. Comput. Aided Control Syst. Des. 2006 IEEE Int. Conf. Control Appl. 2006 IEEE Int. Symp. Intell. Control, pp. 2155–2159, 2006.

[196]    A. M. Farahmand, M. N. Ahmadabadi, C. Lucas, and B. N. Araabi, “Hybrid behavior co-evolution and structure learning in behavior-based systems,” in Evolutionary Computation, 2006. CEC 2006. IEEE Congress on, 2006, pp. 275–282.

[197]    M. N. Ahmadabadi, A. Imanipour, B. N. Araabi, M. Asadpour, and R. Siegwart, “Knowledge-based extraction of area of expertise for cooperation in learning,” in Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on, 2006, pp. 3700–3705.

[198]    F. Hashemzadeh, B. N. Araabi, and C. Lucas, “Mixture weighted gating and its application to target tracking,” in Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE, 2006, pp. 1639–1644.

[199]    B. N. Araabi, H. Azegami, K. Takeuchi, E. Katamine, M. N. Bahrami, H. Rouhani, H. Baier, H. Tan, S. Banihani, S. De, and others, “Abdusalam, HA, Multiple Soliton Solutions for the Nagumo Equation and the Modified General Burgers-Fisher Equation 3 (2006) 371 Angelov, TA, Analysis of a Rigid-Plastic Rolling Problem with Slightly Compressible Material Model 2 (2006) 245,” Int. J. Comput. Methods, 2006.

[200]    A. Poursaberi and B. N. Araabi, “A half-eye wavelet based method for iris recognition,” in Intelligent Systems Design and Applications, 2005. ISDA’05. Proceedings. 5th International Conference on, 2005, pp. 262–267.

[201]    F. Rastegar, B. N. Araabi, and C. Lucas, “An evolutionary fuzzy modeling approach for ANFIS architecture,” in Evolutionary Computation, 2005. The 2005 IEEE Congress on, 2005, vol. 3, pp. 2182–2189.

[202]    N. Batmanghelich, H. Soltanian-Zadeh, and B. N. Araabi, “Knowledge-based segmentation using simultaneous shape priori and histogram information to segment brain structures,” IASTED SIP Conf, pp. 15–17, 2005.

[203]    A. H. Elahibakhsh, M. N. Ahmadabadi, F. Janabi-Sharifi, and B. N. Araabi, “Learning distributed grasp in presence of redundant agents,” in Advanced Intelligent Mechatronics. Proceedings, 2005 IEEE/ASME International Conference on, 2005, pp. 981–986.

[204]    P. Khajehpour, C. Lucas, and B. N. Araabi, “Hierarchical image segmentation using ant colony and chemical computing approach,” in Advances in Natural Computation, Springer Berlin Heidelberg, 2005, pp. 1250–1258.

[205]    A. H. ELAHIBAKHSH, A. M. NILI, and A. B. NADJAR, “A STUDY ON THE ROLE OF EXPLORATION IN MULTIAGENT REINFORCEMENT LEARNING CONSIDERING TASK TYPE,” CSI J. Comput. Sci. Eng., 2005.

[206]    A. Khaki-Sedigh, O. Namaki-Shoushtari, and B. N. Araabi, “Optimal design of robust adaptive controllers: A QFT-EEAS based approach using random optimization techniques,” Proc. 5th Int. Conf. Control Autom., pp. 617–621, 2005.

[207]    H. Mobahi, M. N. Ahmadabadi, and B. N. Araabi, “Concept oriented imitation towards verbal human-robot interaction,” IEEE Int. Conf. Robot. Autom., vol. 2, p. 1495, 2005.

[208]    D. D. Zad, B. N. Araabi, and C. Lucas, “A Novel Approach to Automatic Music Composing: Using Genetic Algorithm,” Inf. Syst., pp. 551–555, 2005.

[209]    M. Aghagolzadeh, H. Soltanian-Zadeh, and B. N. Araabi, “New information-based clustering method using renyi’s entropy and fuzzy c-means clustering.,” in SIP, 2005, pp. 411–414.

[210]    R. M. Milasi, C. Lucas, and B. N. Araabi, “Intelligent modeling and control of washing machine using LLNF modeling and modified BELBIC,” in Control and Automation, 2005. ICCA’05. International Conference on, 2005, vol. 2, pp. 812–817.

[211]    A. Poursaberi and B. N. Araabi, “A novel iris recognition system using morphological edge detector and wavelet phase features,” ICGST Int. J. Graph. Vis. Image Process., vol. 5, no. 6, pp. 9–15, 2005.

[212]    A. Gholipour, C. Lucas, B. N. Araabi, and M. Shafiee, “Solar activity forecast: Spectral analysis and neurofuzzy prediction,” J. Atmos. solar-terrestrial Phys., vol. 67, no. 6, pp. 595–603, 2005.

[213]    H. Mobahi, M. N. Ahmadabadi, and B. N. Araabi, “Concept oriented imitation towards verbal human-robot interaction,” in Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on, 2005, pp. 1495–1500.

[214]    H. Rouhani, A. Fazlirad, B. N. Araabi, and C. Lucas, “Optimal design of a flexible transferring system in press automation using fuzzy clustering,” Assem. Autom., vol. 25, no. 1, pp. 53–58, 2005.

[215]    M. Jalili-Kharaajoo and B. N. Araabi, “The Schur stability via the Hurwitz stability analysis using a biquadratic transformation,” Automatica, vol. 41, no. 1, pp. 173–176, 2005.

[216]    H. Mobahi and B. N. Araabi, “A Comparative Study on Geometric and Holistic Representations for Facial Expression Recognition,” Third Conf. Mach. Vision, Image Process. Appl., 2005.

[217]    H. Mobahi and B. N. Araabi, “VISION BASED FRUIT INSPECTION USING INDEPENDENT COMPONENT ANALYSIS,” Third Conf. Mach. Vision, Image Process. Appl., 2005.

[218]    A. Sadeghzadeh and B. N. Araabi, “A new approach to commutation in predictive control of switch reluctance motor,” in Industrial Technology, 2004. IEEE ICIT’04. 2004 IEEE International Conference on, 2004, vol. 3, pp. 1534–1537.

[219]    M. R. Rafimanzelat, B. N. Araabi, and E. Khosroshahli, “Induction machine broken bar detection using neural networks based classification,” in Cybernetics and Intelligent Systems, 2004 IEEE Conference on, 2004, vol. 2, pp. 1362–1367.

[220]    R. Mehran and B. Araabi, “Nonlinear Function Approximation,” 2004.

[221]    M. T. Harandi, M. N. Ahmadabadi, and B. N. Araabi, “Face recognition using reinforcement learning,” in Image Processing, 2004. ICIP’04. 2004 International Conference on, 2004, vol. 4, pp. 2709–2712.

[222]    M. Safari, M. T. Harandi, and B. N. Araabi, “A SVM-based method for face recognition using a wavelet PCA representation of faces,” in Image Processing, 2004. ICIP’04. 2004 International Conference on, 2004, vol. 2, pp. 853–856.

[223]    S. Hatami, B. N. Araabi, and C. Lucas, “A new fuzzy morphology approach based on the fuzzy-valued generalized Dempster-Shafer theory,” Iran. J. Fuzzy Syst., vol. 1, no. 2, pp. 1–14, 2004.

[224]    H. Rouhani, A. Fazlirad, B. N. Araabi, C. Lucas, A. Ghazavi, A. Nazirzadehbafghi, and A. Mohammadi, “Optimal design of a flexible fixtures system using fuzzyC-means clustering.,” WSEAS Trans. Syst., vol. 3, no. 5, pp. 1893–1897, 2004.

[225]    A. Gholipour, C. Lucas, and B. N. Araabi, “Black box modeling of magnetospheric dynamics to forecast geomagnetic activity,” Sp. Weather, vol. 2, no. 7, 2004.

[226]    R. Mohammdi-Milasi, C. Lucas, and B. Nadjar-Arrabi, “Speed control of an interior permanent magnet synchronous motor using BELBIC (Brain Emotional Learning Based Intelligent Controller),” in Automation Congress, 2004. Proceedings. World, 2004, vol. 16, pp. 280–286.

[227]    R. Mohammdi-Milasi, C. Lucas, and B. Najar-Arrabi, “A novel controller for a power system based BELBIC (brain emotional learning based intelligent controller),” in Automation Congress, 2004. Proceedings. World, 2004, vol. 16, pp. 409–420.

[228]    M. Jalili-Kharaajoo and B. N. ARAABI, “Determination of all stabilizing constant feedback gains for open-loop unstable second-order systems with time delay.,” WSEAS Trans. Syst., vol. 3, no. 4, pp. 1686–1690, 2004.

[229]    M. R. Rafimanzelat, B. N. Araabi, and E. Sharifi, “New features from Fourier spectrum for induction machine broken bar detection using statistical pattern recognition.,” WSEAS Trans. Electron., vol. 1, no. 2, pp. 377–382, 2004.

[230]    A. M. Farahmand, M. N. Ahmadabadi, and B. N. Araabi, “Behavior hierarchy learning in a behavior-based system using reinforcement learning,” in Intelligent Robots and Systems, 2004.(IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on, 2004, vol. 2, pp. 2050–2055.

[231]    M. R. Rafimanzelat and B. N. Araabi, “Application of rough sets techniques to induction machine broken bar detection,” in Artificial Intelligence and Soft Computing-ICAISC 2004, Springer Berlin Heidelberg, 2004, pp. 532–537.

[232]    B. Khandzad, E. Ashoori, F. Oroumchian, and B. N. Araabi, “Using Plausible Reasoning for Developing Intelligent Systems,” in Applications and Science in Soft Computing, Springer Berlin Heidelberg, 2004, pp. 203–212.

[233]    M. Jalili-Kharaajoo and B. N. Araabi, “Next Generation Systems (II) and Traffic Management (I)-Application of Predictive Control Algorithm to Congestion Control in Differentiated Service Networks,” Lect. Notes Comput. Sci., vol. 3124, pp. 1157–1162, 2004.

[234]    H. Rouhani, M. Jalili-Kharaajoo, B. N. Araabi, and C. Lucas, Intelligent Control of Electrically Heated Micro Heat Exchanger with Locally Linear Neurofuzzy Identifier and Emotional Based Learning Controller. The World Scientific and Engineering Academy and Society (WSEAS), Conferences, Austria, 2004.

[235]    H. Mobahi, M. N. Ahmadabadi, and B. N. Araabi, “Fast initialization of active contours,” in Intelligent Robots and Systems, 2004.(IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on, 2004, vol. 1, pp. 546–551.

[236]    A. H. Elahibakhsh, M. N. Ahmadabadi, F. J. Sharifi, and B. N. Araabi, “Distributed form closure for convex planar objects through reinforcement learning with local information,” in Intelligent Robots and Systems, 2004.(IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on, 2004, vol. 4, pp. 3170–3175.

[237]    M. Jalili-Kharaajoo and B. N. Araabi, “Application of predictive control algorithm to congestion control in differentiated service networks,” in Telecommunications and Networking-ICT 2004, Springer Berlin Heidelberg, 2004, pp. 1157–1162.

[238]    M. T. Harandi, M. N. Ahmadabadi, B. N. Araabi, and C. Lucas, “Feature selection using genetic algorithm and it’s application to face recognition,” in IEEE Conference on Cybernetics and Intelligent Systems, 2004., 2004.

[239]    M. Jalili-Kharaajoo and B. N. Araabi, “Neural network based predictive control of a heat exchanger nonlinear process,” IU-Journal Electr. Electron. Eng., vol. 4, no. 2, 2004.

[240]    M. Jalili-Kharaajoo and B. N. ARAABI, “A Linear Programming Approach for Calculation of All Stabilizing Parameters of Lead-Lag Compensator for Continuous-Time Plants,” 2004.

[241]    M. T. Harandi and B. N. Araabi, “Impulse noise removal based on long-range correlation in an image,” in Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on, 2003, vol. 1, pp. 244–247.

[242]    M. Jalili-Kharaajoo and B. N. Araabi, “Neuro predictive control of a heat exchanger: comparison with generalized predictive control,” in Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on, 2003, vol. 2, pp. 675–678.

[243]    A. R. Forouzan and B. N. Araabi, “Iterative median filtering for restoration of images with impulsive noise,” in Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on, 2003, vol. 1, pp. 232–235.

[244]    C. LUCAS^1, A. L. I. ABBASPOUR, A. L. I. GHOLIPOUR, B. N. ARAABI, and M. FATOURECHI, “Multi objective emotional learning based fuzzy inference system,” 2003.

[245]    A. Abbaspour, C. Lucas, and B. N. Araabi, “EMOTIONAL LEARNING APPROACH FOR MULTI OBJECTIVE INVESTMENT MANAGAMENT,” Proc. Intell. Syst. Control, 2003.

[246]    A. Gholipour, A. Abbaspour, B. N. Araabi, and C. Lucas, “Enhancements in the Prediction of Solar Activity by Locally Linear Model Tree.,” in Modelling, Identification and Control, 2003, pp. 157–160.

[247]    G. R. Hillman, B. Wursig, G. A. Gailey, N. Kehtarnavaz, A. Drobyshevsky, B. N. Araabi, H. D. Tagare, and D. W. Weller, “Computer-assisted photo-identification of individual marine vertebrates: a multi-species system,” Aquat. Mamm., vol. 29, no. 1, pp. 117–123, 2003.

[248]    F. Orumchian, B. N. Araabi, and E. Ashoori, “Using Plausible Inferences and Dempster-Shafer Theory of Evidence for Filtering,” in Proc. 4th International Conference on Recent Advances in Soft Computing (RASC2002), 2002, pp. 1–7.

[249]    B. N. Araabi, N. Kehtarnavaz, M. Yeary, G. Hillman, and B. Würsig, “Locating an affine/projective invariant identifier patch on an image,” in Image Analysis and Interpretation, 2002. Proceedings. Fifth IEEE Southwest Symposium on, 2002, pp. 121–125.

[250]    G. R. Hillman, N. Kehtarnavaz, B. Wursig, B. Araabi, G. Gailey, D. Weller, S. Mandava, and H. Tagare, “‘ Finscan’, a computer system for photographic identification of marine animals,” in Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint, 2002, vol. 2, pp. 1065–1066.

[251]    F. Oroumchian, B. N. Araabi, and E. Ashoori, “An Application of Plausible Reasoning and Dempster-Shafer Theory of Evidence in Information Retrieval.,” in FSKD, 2002, p. 442.

[252]    S. M. Eshgh, B. Araabi, and M. N. AhmadAbadi, “Cooperative q-learning through state transitions: A method for cooperation based on area of expertise,” Proc. 4th Asia-Pacific Conf. Simulated Evol. Learn. [SEAL], Singapore, pp. 61–65, 2002.

[253]    F. Orumchian, B. N. Araabi, and E. Ashoori, “Using plausible inferences and Dempster-shafer theory Of evidence for adaptive information filtering,” in 4th International Conference on Recent Advances in Soft Computing, Nottingham, United Kingdom, 2002.

[254]    B. N. Araabi, N. Kehtarnavaz, and C. Lucas, “Restrictions imposed by the fuzzy extension of relations and functions,” J. Intell. Fuzzy Syst., vol. 11, no. 1–2, pp. 9–22, 2001.

[255]    N. Kehtarnavaz, B. N. Araabi, F. Kallel, and J. Ophir, “Classification of simulated elastograms based on texture features,” in Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on, 2001, pp. 461–466.

[256]    B. N. Araabi, N. Kehtarnavaz, G. Hillman, and B. Würsig, “Evaluation of invariant models for dolphin photo-identification,” in Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on, 2001, pp. 203–209.

[257]    B. N. Araabi, N. Kehtarnavaz, T. McKinney, G. Hillman, and B. Würsig, “A string matching computer-assisted system for dolphin photoidentification,” Ann. Biomed. Eng., vol. 28, no. 10, pp. 1269–1279, 2000.

[258]    B. N. Araabi and N. Kehtarnavaz, “Hough array processing via fast multi-scale clustering,” Real-Time Imaging, vol. 6, no. 2, pp. 129–141, 2000.

[259]    A. Kreho, N. Kehtarnavaz, B. Araabi, G. Hillman, B. Würsig, and D. Weller, “Assisting manual dolphin identification by computer extraction of dorsal ratio,” Ann. Biomed. Eng., vol. 27, no. 6, pp. 830–838, 1999.

[260]    C. Lucas and B. N. Araabi, “Generalization of the Dempster-Shafer theory: a fuzzy-valued measure,” Fuzzy Syst. IEEE Trans., vol. 7, no. 3, pp. 255–270, 1999.

 

Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran