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 MultiLayer 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 hyperpolygon validity regions via sigmoidbased 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 QTransferable Tasks,” in Workshops at the TwentyNinth
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. SoltanianZadeh, 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
networkbased 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. RahimiKian, and B. Nadjar Araabi,
“Traffic Flow Prediction Using MI Algorithm and Considering Noisy and
Data Loss Conditions: An Application to Minnesota Traffic Flow
Prediction,” PROMETTraffic&Transportation, vol. 26, no. 5, pp.
393–403, 2014.
[9]
M.H. Z. Ashtiani, M. N. Ahmadabadi, and B. N. Araabi,
“Banditbased local feature subset selection,” Neurocomputing,
vol. 138, pp. 371–382, 2014.
[10]
K. Fouladi, B. N. Araabi, and E. Kabir, “A fast and accurate
contourbased method for writerdependent 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 actionvalue functions,” Comput. Intell.
Neurosci., vol. 2014, p. 52, 2014.
[13]
A. SarabiJamab, B. N. Araabi, and T. Augustin, “Informationbased
dissimilarity assessment in DempsterShafer theory,” KnowledgeBased
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
Lowfrequency Shadow Zones using Quantum Swarm Evolutionary Matching
Pursuit Decomposition (QSEMPD),” 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 LowLevel 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 neurofuzzy immune
inspired classifier for taskoriented 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.
BarronGonzalez, J. D. Boucher, R. J. Brand, J. J. Cabibihan, A.
CastroGonzalez, 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 TissueSpecific ProteinProtein 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 TakagiSugeno 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 masterslave 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 timevarying 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 tractbased 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.
MoosaviMovahedi, “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
realtime 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. SoleimaniB, 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. SoleimaniB, C. Lucas, and B. N. Araabi, “Fast evolving neurofuzzy
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, “TakagiSugeno control of the
elevation channel of a twinrotor system using closedloop empirical
data,” in American Control Conference (ACC), 2012, 2012, pp.
2615–2620.
[39]
B. N. Araabi and Z. Gharibshah, “Face recognition with manifoldbased
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 TakagiSugeno 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 ActionBased 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.
MoosaviMovahedi, “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. RahimiKian, 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
vectorbased 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. RahimiKian, and B. N. Araabi,
“Shortterm 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 alternationbased 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 humanrobot 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 FSANFIS
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 bioinspired 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,
“Banditbased 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 mixtureofexperts 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 neurofuzzy modeling: A splitandmerge 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. RahimiKian, “Shortterm 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 multistep ahead prediction of timevarying 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. NiliAhmadabadi, 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. SarabiJamab 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.
MoosaviMovahedi, “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. SoltanianZadeh, 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
attentionbased 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, “Costsensitive learning
of topdown 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 ONTOLOGYBASED
FRAMEWORK FOR ORGANIZING RESEARCH SUPPORT CONTENTS IN ELEARNING
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 timevarying 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. SoltanianZadeh, “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 taskdriven objectbased 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. SoltanianZadeh, “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 FuzzyDynamic 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 culturebased learning and cooperative coevolution and its
application to automatic behaviorbased 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 highorder TakagiSugeno
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 Humanrobot
Interaction.,” in ACML, 2010, pp. 331–346.
[92]
H. SoleimaniB, C. Lucas, and B. N. Araabi, “Recursive GathGeva
clustering as a basis for evolving neurofuzzy 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
topdown 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. SoltanianZadeh, “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. roman 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 temporaldifference 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
temporaldifference 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 NeuroFuzzy 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. SoltanianZadeh, “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 neurofuzzy
model through indirect fuzzy clustering of data space,” in Fuzzy
Systems, 2009. FUZZIEEE 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 swellshrink 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 permanentmagnet
synchronous motor drive,” Ind. Appl. IEEE Trans., vol. 44, no. 5,
pp. 1466–1476, 2008.
[118] O.
NamakiShoushtari, 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
Topdown 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
ApplicationsICCSA 2008, Springer Berlin Heidelberg, 2008, pp.
1156–1170.
[125] M.
Mirmomeni, C. Lucas, and B. N. Araabi, “Workshop on PULSESLogical,
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
topdown 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 topdown
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 topdown 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 reinforcementbased
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 inputoutput 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. FUZZIEEE 2008.(IEEE World
Congress on Computational Intelligence). IEEE International Conference
on, 2008, pp. 2230–2235.
[135] E.
AatashpazGargari, B. N. Araabi, and C. Lucas, “Optimal fuzzy passing
strategy for robot soccer players,” in Fuzzy Systems, 2008. FUZZIEEE
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, “Databased 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 coevolution 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, “Fuzzymodelbased 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. SoltanianZadeh, 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, “Knowledgebased 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, “Closedloop 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 neurofuzzy
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 longterm
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
microheat 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 TakagiSugeno 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 backend 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 Longterm prediction of solar
activity using spectral analysis and multi input multi output
neurofuzzy 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.
EPFLARTICLE169173, 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 CooperativeLearning,” 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. SoltanianZadeh, “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. SolarTerrestrial
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 neurofuzzy
models,” in Industrial Technology, 2006. ICIT 2006. IEEE
International Conference on, 2006, pp. 2274–2279.
[177] M.
Aghagolzadeh, H. SoltanianZadeh, 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 neurofuzzy (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
selforganization approach for snake initialization,” Complexity,
vol. 12, no. 1, pp. 41–52, 2006.
[185] M.
Aghagolzadeh, H. SoltanianZadeh, 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 behaviorbased 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, “Autotune 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 neurofuzzy
models with selfconstruction 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 Qlearning,” Proc. IEEE Swarm
Intell. Symp, pp. 7–12, 2006.
[192] J. Sharifi,
B. N. Araabi, and C. Lucas, “Multistep 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.
SarabiJamab and B. N. Araabi, “Piecewise Linear Model Tree: A modified
combination of two learning algorithms for neurofuzzy 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 coevolution and structure learning in behaviorbased 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,
“Knowledgebased 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 BurgersFisher Equation 3 (2006) 371 Angelov, TA, Analysis of a
RigidPlastic Rolling Problem with Slightly Compressible Material Model
2 (2006) 245,” Int. J. Comput. Methods, 2006.
[200] A.
Poursaberi and B. N. Araabi, “A halfeye 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. SoltanianZadeh, and B. N. Araabi, “Knowledgebased
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. JanabiSharifi, 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.
KhakiSedigh, O. NamakiShoushtari, and B. N. Araabi, “Optimal design of
robust adaptive controllers: A QFTEEAS 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 humanrobot 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. SoltanianZadeh, and B. N. Araabi, “New
informationbased clustering method using renyi’s entropy and fuzzy
cmeans 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.
solarterrestrial Phys., vol. 67, no. 6, pp. 595–603, 2005.
[213] H. Mobahi,
M. N. Ahmadabadi, and B. N. Araabi, “Concept oriented imitation towards
verbal humanrobot 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.
JaliliKharaajoo 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
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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 SVMbased 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 fuzzyvalued generalized DempsterShafer 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
fuzzyCmeans 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.
MohammdiMilasi, C. Lucas, and B. NadjarArrabi, “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.
MohammdiMilasi, C. Lucas, and B. NajarArrabi, “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.
JaliliKharaajoo and B. N. ARAABI, “Determination of all stabilizing
constant feedback gains for openloop unstable secondorder 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 behaviorbased 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 ComputingICAISC 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.
JaliliKharaajoo 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. JaliliKharaajoo, 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.
JaliliKharaajoo and B. N. Araabi, “Application of predictive control
algorithm to congestion control in differentiated service networks,” in
Telecommunications and NetworkingICT 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.
JaliliKharaajoo and B. N. Araabi, “Neural network based predictive
control of a heat exchanger nonlinear process,” IUJournal Electr.
Electron. Eng., vol. 4, no. 2, 2004.
[240] M.
JaliliKharaajoo and B. N. ARAABI, “A Linear Programming Approach for
Calculation of All Stabilizing Parameters of LeadLag Compensator for
ContinuousTime Plants,” 2004.
[241] M. T.
Harandi and B. N. Araabi, “Impulse noise removal based on longrange
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.
JaliliKharaajoo 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,
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[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, “Computerassisted
photoidentification of individual marine vertebrates: a multispecies
system,” Aquat. Mamm., vol. 29, no. 1, pp. 117–123, 2003.
[248] F.
Orumchian, B. N. Araabi, and E. Ashoori, “Using Plausible Inferences and
DempsterShafer 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 DempsterShafer Theory of Evidence in Information
Retrieval.,” in FSKD, 2002, p. 442.
[252] S. M.
Eshgh, B. Araabi, and M. N. AhmadAbadi, “Cooperative qlearning through
state transitions: A method for cooperation based on area of expertise,”
Proc. 4th AsiaPacific Conf. Simulated Evol. Learn. [SEAL], Singapore,
pp. 61–65, 2002.
[253] F.
Orumchian, B. N. Araabi, and E. Ashoori, “Using plausible inferences and
Dempstershafer 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 ComputerBased
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 photoidentification,” in ComputerBased
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 computerassisted 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 multiscale
clustering,” RealTime 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,
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