# Vahid Partovi Nia

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Artificial Intelligence (AI) is the next society transformation builder. Massive AI-based applications include cloud servers, cell phones, cars, and pandemic...

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Training large-scale deep neural networks is a long, time-consuming operation, often requiring many GPUs to accelerate. In large models, the time spent loadi...

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Binary neural networks improve computationally efficiency of deep models with a large margin. However, there is still a performance gap between a successful...

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Implementation of quantized neural networks on computing hardware leads to considerable speed up and memory saving. However, quantized deep networks are diff...

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Many biological datasets such as microarrays, metabolomics, and proteomics involve observations (or subjects) in rows, and attributes (or genes, metabolites,...

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Visualization of high-dimensional data is counter-intuitive using conventional graphs. Parallel coordinates is proposed, as an alternative, to explore multiv...

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Simple, intuitive, and scalable to large problems, $$k$$-means clustering is perhaps the most frequently-used technique for unsupervised learning. However...

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An electronic nose (e-nose), or artificial olfactometer, is a device that analyzes the air to quantify odor concentration using an array of gas sensors. Thi...

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An electronic nose (e-nose) is a device that analyzes the chemical components of an odour. The e-nose consists of an array of gas sensors for chemical detect...

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Airline companies are subject to a considerable amount of disruptions during their operations. It is vital for many industries including the airline industry...

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An artificial olfaction called electronic nose (e-nose) relies on an array of gas sensors with the capability of mimicking the human sense of smell. Applying...

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Nowadays, tremendous data are continuously gathering from the smart card in public transport domain. Such data, conveying two viable distinct information, ca...

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Intelligent transportation has been emerged as one of the data mining and machine learning applications. The smart card data nowadays are continuously gather...

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Clustering and classification of replicated biological data is often performed using classical techniques that inappropriately treat the data as unreplicated...

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Virtual metrology in quality control deals with drifts in product quality that occur during non-sampling periods. This approach enables a hundred percent con...

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While there has been a surge of articles on convergence diagnostic tools for MCMC on continuous stationary distributions and ordinal state spaces, Bayesian c...

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In many applications, such as metabolomics, data are composed of several continuous measurements of subjects (tissues) over multiple variables (metabolites)....

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Measurement systems studies are an integral part of most quality improvement processes. A desirable measurement system must produce repeatable and reprodu...

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This work presents a variation of the elastic net penalization method. We propose applying a combined $$l$$<sub>1</sub> and $$l$$<sub>2</sub> norm pena...

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The frontier of the Production Possibility Set (PPS) consists of two types of full dimensional facets; efficient and weak facets. Identification of all facet...

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