Search Results - "Vosoughi, Ali"
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Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data
Published in Scientific reports (09-04-2021)“…A key challenge to gaining insight into complex systems is inferring nonlinear causal directional relations from observational time-series data. Specifically,…”
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Effects of water-cement ratio and superplasticizer dosage on mechanical and microstructure formation of styrene-butyl acrylate copolymer concrete
Published in Construction & building materials (07-02-2022)“…[Display omitted] •The optimum dosage of superplasticizers for SBA copolymer modified concrete.•Mechanical and microstructure behavior of copolymer modified…”
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Application of Artificial Neural Network(s) in Predicting Formwork Labour Productivity
Published in Advances in civil engineering (01-01-2019)“…Productivity is described as the quantitative measure between the number of resources used and the output produced, generally referred to man-hours required to…”
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An approach for the Pasternak elastic foundation parameters estimation of beams using simulated frequencies
Published in Inverse problems in science and engineering (03-08-2018)“…As a first attempt, a mix of differential quadrature (DQ) and simplex (S) method for the Pasternak elastic foundation parameters estimation of beams using…”
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Dynamic moving load identification of laminated composite beams using a hybrid FE-TMDQ-GAs method
Published in Inverse problems in science and engineering (02-11-2017)“…In this study, dynamic moving load identification of laminated composite beams is performed by introducing a hybrid finite element (FE), time marching…”
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Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting
Published in NPJ digital medicine (19-08-2022)“…We introduce a multi-institutional data harvesting (MIDH) method for longitudinal observation of medical imaging utilization and reporting. By tracking both…”
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Combined Distinguishers to Enhance the Accuracy and Success of Side Channel Analysis
Published in 2019 IEEE International Symposium on Circuits and Systems (ISCAS) (01-05-2019)“…For the first time, the combination of mutual information analysis and correlation power analysis is proposed to enhance the accuracy and success rate of side…”
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Conference Proceeding -
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Artificial Intelligence Applications in Civil Engineering
Published in Advances in civil engineering (01-01-2019)“…[...]LS-SVM has been identified as the better approach for the task of pothole detection with a desired accuracy of approximately 89%. According to R2 values,…”
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Thermal Buckling Optimization of Temperature-Dependent Laminated Composite Skew Plates
Published in Journal of aerospace engineering (01-01-2014)“…AbstractAs a first endeavor, the differential quadrature method in conjunction with the genetic algorithms (GAs) is applied to obtain the optimum (maximum)…”
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An investigation on the effect of styrene-butyl acrylate copolymer latex to improve the properties of polymer modified concrete
Published in Construction & building materials (30-04-2019)“…[Display omitted] •Using SBA latex to investigate mechanical properties of polymer modified concrete.•Investigating the mechanism and microstructure formation…”
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Cross Modality Bias in Visual Question Answering: A Causal View With Possible Worlds VQA
Published in IEEE transactions on multimedia (2024)“…To increase the generalization capability of VQA systems, many recent studies have tried to de-bias spurious language or vision associations that shortcut the…”
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Learning Audio Concepts from Counterfactual Natural Language
Published in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (14-04-2024)“…Conventional audio classification relied on predefined classes, lacking the ability to learn from free-form text. Recent methods unlock learning joint…”
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Conference Proceeding -
14
Relation Discovery in Nonlinearly Related Large-Scale Settings
Published in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (23-05-2022)“…Causal inquiries provide crucial insight into the advancement of scientific discoveries. In real-world studies like climatology, sensory data acquired from…”
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Conference Proceeding -
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Research on Deformation Prediction of Foundation Pit Based on PSO-GM-BP Model
Published in Advances in civil engineering (2021)“…Deformation prediction is significant to the safety of foundation pits. Against with low accuracy and limited applicability of a single model in forecasting, a…”
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Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images
Published 24-10-2024“…In the present research, the effectiveness of large-scale Augmented Granger Causality (lsAGC) as a tool for gauging brain network connectivity was examined to…”
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Distributed Injection-Locking in Analog Ising Machines to Solve Combinatorial Optimizations
Published in 2020 IEEE International Symposium on Circuits and Systems (ISCAS) (01-10-2020)“…The oscillator-based Ising machine (OIM) is a network of coupled CMOS oscillators that solves combinatorial optimization problems. In this paper, the…”
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Conference Proceeding -
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Cross Modal Global Local Representation Learning from Radiology Reports and X-Ray Chest Images
Published 26-01-2023“…Deep learning models can be applied successfully in real-work problems; however, training most of these models requires massive data. Recent methods use…”
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Learning Audio Concepts from Counterfactual Natural Language
Published 10-01-2024“…Conventional audio classification relied on predefined classes, lacking the ability to learn from free-form text. Recent methods unlock learning joint…”
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Journal Article -
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Re-defining Radiology Quality Assurance (QA) -- Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS)
Published 01-05-2022“…There is an urgent need for streamlining radiology Quality Assurance (QA) programs to make them better and faster. Here, we present a novel approach,…”
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