Search Results - "Araabi, Babak Nadjar"

Functional Networks Abnormalities in Autism Spectrum Disorder: Age-Related Hypo and Hyper Connectivity by Haghighat, Hossein, Mirzarezaee, Mitra, Araabi, Babak Nadjar, Khadem, Ali

“…Autism spectrum disorder (ASD) is a developmental disorder characterized by defects in social interaction. The past functional connectivity studies using…”
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Learning from Demonstrations and Human Evaluative Feedbacks: Handling Sparsity and Imperfection Using Inverse Reinforcement Learning Approach by Nili Ahmadabadi, Majid, Araabi, Babak N., Ezzeddine, Ali, Mourad, Nafee

“…Programming by demonstrations is one of the most efficient methods for knowledge transfer to develop advanced learning systems, provided that teachers deliver…”
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Cell size optimization for fracture measure estimation in multi-scale studies within oil wells by Mazaheri, Atie, Memarian, Hossein, Tokhmechi, Behzad, Nadjar Araabi, Babak

“…Fracture measure (FM) is a newly developed concept that shows the effectiveness of fractures in each horizon fuzzily. Different cell sizes could be used in…”
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Stochastic first-order learning for large-scale flexibly tied Gaussian mixture models by Pasande, Mohammad, Hosseini, Reshad, Nadjar Araabi, Babak

“…Gaussian Mixture Models (GMMs) are one of the most potent parametric density models used extensively in many applications. Flexibly-tied factorization of the…”
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Bandit-based local feature subset selection by Zokaei Ashtiani, Mohammad-Hassan, Nili Ahmadabadi, Majid, Nadjar Araabi, Babak

“…In this work we propose a method for local feature subset selection, where we simultaneously partition the sample space into localities and select features for…”
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Improved Bayesian information criterion for mixture model selection by Mehrjou, Arash, Hosseini, Reshad, Nadjar Araabi, Babak

“…•A new criterion for mixture model selection is proposed.•Mathematical derivation of the criterion is justified.•The proposed criterion works as good as the…”
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A Computational Approach towards Visual Object Recognition at Taxonomic Levels of Concepts by Sadeghi, Zahra, Nili Ahmadabadi, Majid, Araabi, Babak N.

“…It has been argued that concepts can be perceived at three main levels of abstraction. Generally, in a recognition system, object categories can be viewed at…”
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Brain effective connectome based on fMRI and DTI data: Bayesian causal learning and assessment by Bagheri, Abdolmahdi, Dehshiri, Mahdi, Bagheri, Yamin, Akhondi-Asl, Alireza, Nadjar Araabi, Babak

“…Neuroscientific studies aim to find an accurate and reliable brain Effective Connectome (EC). Although current EC discovery methods have contributed to our…”
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Traffic Flow Prediction Using MI Algorithm and Considering Noisy and Data Loss Conditions: An Application to Minnesota Traffic Flow Prediction by Hosseini, Seyed Hadi, Moshiri, Behzad, Rahimi-Kian, Ashkan, Araabi, Babak Nadjar

“…Traffic flow forecasting is useful for controlling traffic flow, traffic lights, and travel times. This study uses a multi-layer perceptron neural network and…”
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Context Transfer in Reinforcement Learning Using Action-Value Functions by Mousavi, Amin, Nili Ahmadabadi, Majid, Araabi, Babak N.

“…This paper discusses the notion of context transfer in reinforcement learning tasks. Context transfer, as defined in this paper, implies knowledge transfer…”
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Uncertainty analysis of developed ANN and ANFIS models in prediction of carbon monoxide daily concentration by Noori, Roohollah, Hoshyaripour, Gholamali, Ashrafi, Khosro, Araabi, Babak Nadjar

“…This study aims to predict daily carbon monoxide (CO) concentration in the atmosphere of Tehran by means of developed artificial neural network (ANN) and…”
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Discovering the effective connectome of the brain with dynamic Bayesian DAG learning by Bagheri, Abdolmahdi, Pasande, Mohammad, Bello, Kevin, Araabi, Babak Nadjar, Akhondi-Asl, Alireza

“…Understanding the complex mechanisms of the brain can be unraveled by extracting the Dynamic Effective Connectome (DEC). Recently, score-based Directed Acyclic…”
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Fault detection and isolation of gas turbine: Hierarchical classification and confidence rate computation by Nayeri, Mohammad Reza, Nadjar Araabi, Babak, Moshiri, Behzad

“…In this paper, a Fault Detection and Isolation (FDI) system based on an ensemble-based hierarchical classifier is devised to detect and isolate twelve typical…”
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Quantitative determination of concordance in localizing epileptic focus by component-based EEG-fMRI by Ebrahimzadeh, Elias, Shams, Mohammad, Fayaz, Farahnaz, Rajabion, Lila, Mirbagheri, Mahya, Nadjar Araabi, Babak, Soltanian-Zadeh, Hamid

“…•A novel systematic, quantitative approach is presented to evaluate concordance between the Component-related BOLD clusters and IED-location using simultaneous…”
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An age-dependent Connectivity-based computer aided diagnosis system for Autism Spectrum Disorder using Resting-state fMRI by Haghighat, Hossein, Mirzarezaee, Mitra, Nadjar Araabi, Babak, Khadem, Ali

“…•Our proposed CADS was used functional and effective connectivity features between RSNs.•Our proposed CADS achieved with 95.23% classification accuracy in the…”
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Multi-representational learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs by Masoudnia, Saeed, Mersa, Omid, Araabi, Babak Nadjar, Vahabie, Abdol-Hossein, Sadeghi, Mohammad Amin, Ahmadabadi, Majid Nili

“…•Multi-Loss Snapshot Ensemble (MLSE) of CNNs offers feature ensemble learning for OSV.•MLSE proposes simultaneous use of multi-loss function within a…”
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Estimation of Depth and Length of Defects From Magnetic Flux Leakage Measurements: Verification With Simulations, Experiments, and Pigging Data by Rostami Kandroodi, Mojtaba, Nadjar Araabi, Babak, Mansoob Bassiri, Maisam, Nili Ahmadabadi, Majid

“…Magnetic flux leakage (MFL) method is the most widely used non-destructive testing techniques for detection and characterization of defects in product…”
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Model-based Persian calligraphy synthesis via learning to transfer templates to personal styles by Ahmadian, Amirhossein, Fouladi, Kazim, Araabi, Babak Nadjar

“…Current software tools for computer generation of Persian calligraphy can be mostly described as conventional fonts and typesetting software, which basically…”
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AI-Enhanced Decision-Making for Course Modality Preferences in Higher Engineering Education during the Post-COVID-19 Era by Mehrabi, Amirreza, Morphew, Jason Wade, Araabi, Babak Nadjar, Memarian, Negar, Memarian, Hossein

“…The onset of the COVID-19 pandemic has compelled a swift transformation in higher-education methodologies, particularly in the domain of course modality. This…”
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Competitive interaction reasoning: A bio-inspired reasoning method for fuzzy rule based classification systems by Jamalabadi, Hamidreza, Nasrollahi, Hossein, Alizadeh, Sarah, Nadjar Araabi, Babak, Nili Ahamadabadi, Majid

“…In designing fuzzy rule based classification systems (FRBCSs), complex fuzzy rule extraction techniques and tuning membership functions are frequently used to…”
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