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   Articles with "probabilistic models" as a keyword



Self‐supervised denoising diffusion probabilistic models for abdominal DW‐MRI

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recommendations! Published in 2025 at "Magnetic Resonance in Medicine"

DOI: 10.1002/mrm.30536

Abstract: To improve the quality of abdominal diffusion‐weighted MR images (DW‐MRI) when acquired using single‐repetition (NEX = 1) protocols, and thereby increase apparent diffusion coefficient (ADC) map accuracy and lesion conspicuity at high b‐values. We aim… read more here.

Keywords: probabilistic models; self supervised; diffusion probabilistic; supervised denoising ... See more keywords
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Probabilistic Models of the Conservation and Balance Laws in Switching Regimes

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recommendations! Published in 2018 at "Journal of Mathematical Sciences"

DOI: 10.1007/s10958-018-3701-8

Abstract: A probabilistic representation is constructed for classical solution to the Cauchy problem for system of semilinear parabolic equations such that the second order terms with different coefficients enter in diagonal way, while the lower order… read more here.

Keywords: balance laws; probabilistic models; switching regimes; conservation balance ... See more keywords

Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.04.103

Abstract: Abstract Deep Neural Networks (DNNs) have achieved state-of-the-art accuracy performance in many tasks. However, recent works have pointed out that the outputs provided by these models are not well-calibrated, seriously limiting their use in critical… read more here.

Keywords: calibration; neural networks; bayesian neural; calibration deep ... See more keywords
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Probabilistic Models to Assess the Seismic Safety of Rigid Block-Like Elements and the Effectiveness of Two Safety Devices

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recommendations! Published in 2019 at "Journal of Structural Engineering"

DOI: 10.1061/(asce)st.1943-541x.0002431

Abstract: AbstractWhen subject to earthquakes, some objects and structures, such as statues, obelisks, storage systems, and transformers, show a dynamic behavior that can be modeled considering the object/st... read more here.

Keywords: models assess; assess seismic; safety; safety rigid ... See more keywords

A nested modelling approach to infrastructure performance characterisation

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recommendations! Published in 2018 at "International Journal of Pavement Engineering"

DOI: 10.1080/10298436.2016.1172712

Abstract: Abstract Reliable and accurate predictions of infrastructure condition can save significant amounts of money for infrastructure management agencies through better planned maintenance and rehabilitation activities. Infrastructure deterioration is a complicated, dynamic and stochastic process affected… read more here.

Keywords: infrastructure deterioration; infrastructure; probabilistic models; model ... See more keywords

GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2023.3255795

Abstract: When deep-learning classifiers try to learn new classes through supervised learning, they exhibit catastrophic forgetting issues. In this paper we propose the Gaussian Mixture Model - Incremental Learner (GMM-IL), a novel two-stage architecture that couples… read more here.

Keywords: incrementally learnt; new classes; class; sample sizes ... See more keywords

Deep Generative Replay With Denoising Diffusion Probabilistic Models for Continual Learning in Audio Classification

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3459954

Abstract: Accurate classification of audio data is essential in various fields such as speech recognition, safety management, healthcare, security, and surveillance. However, existing deep learning classifiers typically require extensive pre-collected data and struggle to adapt to… read more here.

Keywords: continual learning; probabilistic models; diffusion probabilistic; denoising diffusion ... See more keywords

Does Interactive Conditioning Help Users Better Understand the Structure of Probabilistic Models?

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recommendations! Published in 2023 at "IEEE transactions on visualization and computer graphics"

DOI: 10.1109/tvcg.2022.3231967

Abstract: Despite growing interest in probabilistic modeling approaches and availability of learning tools, people are hesitant to use them. There is a need for tools to communicate probabilistic models more intuitively and help users build, validate,… read more here.

Keywords: interactive conditioning; users better; help users; better understand ... See more keywords
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Approximating Probabilistic Models as Weighted Finite Automata

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recommendations! Published in 2021 at "Computational Linguistics"

DOI: 10.1162/coli_a_00401

Abstract: Abstract Weighted finite automata (WFAs) are often used to represent probabilistic models, such as n-gram language models, because among other things, they are efficient for recognition tasks in time and space. The probabilistic source to… read more here.

Keywords: finite automata; source; probabilistic models; models weighted ... See more keywords
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Inherent limitations of probabilistic models for protein-DNA binding specificity

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recommendations! Published in 2017 at "PLoS Computational Biology"

DOI: 10.1371/journal.pcbi.1005638

Abstract: The specificities of transcription factors are most commonly represented with probabilistic models. These models provide a probability for each base occurring at each position within the binding site and the positions are assumed to contribute… read more here.

Keywords: inherent limitations; protein dna; models protein; probabilistic models ... See more keywords

Probabilistic Models for the Shear Strength of RC Deep Beams

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recommendations! Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13084853

Abstract: A new shear strength determination of reinforced concrete (RC) deep beams was proposed by using a statistical approach. The Bayesian–MCMC (Markov Chain Monte Carlo) method was introduced to establish a new shear prediction model and… read more here.

Keywords: models shear; shear strength; model; probabilistic models ... See more keywords