Results 11 to 20 of about 212,177 (318)
Tree-Invent: A novel molecular generative model constrained with topological tree [PDF]
, 2023 De novo molecular design plays an important role in drug discovery. Here a novel generative model, Tree-Invent, was proposed to integrate topological constraints in the generation of molecular graph.
HongMing, Chen, Mingyuan, Xu
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Integrated Aircraft Design System Based on Generative Modelling
Aerospace, 2023 This article presents the effects of work performed during a software project for generative models and spreadsheets, allowing the quick creation of conceptual models for aircraft.
Wojciech Skarka +2 more
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EffUnet-SpaGen: An Efficient and Spatial Generative Approach to Glaucoma Detection
Journal of Imaging, 2021 Current research in automated disease detection focuses on making algorithms “slimmer” reducing the need for large training datasets and accelerating recalibration for new data while achieving high accuracy. The development of slimmer models has become a
Venkatesh Krishna Adithya +7 more
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Frontiers in Artificial Intelligence, 2020 The Free Energy Principle and Active Inference Framework (FEP-AI) begins with the understanding that persisting systems must regulate environmental exchanges and prevent entropic accumulation.
Adam Safron
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CoRR, 2021 Generative modeling has recently seen many exciting developments with the advent of deep generative architectures such as Variational Auto-Encoders (VAE) or Generative Adversarial Networks (GAN). The ability to draw synthetic i.i.d. observations with the same joint probability distribution as a given dataset has a wide range of applications including ...
Johan Leduc, Nicolas Grislain
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A Deep Generative Model Enables Automated Structure Elucidation of Novel Psychoactive Substances [PDF]
, 2021 Over the past decade, the illicit drug market has been reshaped by the proliferation of clandestinely produced designer drugs. These agents, referred to as new psychoactive substances (NPSs), are designed to mimic the physiological actions of better ...
Russell, Greiner +6 more
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A Deep Molecular Generative Model Based on Multi-Resolution Graph Variational Autoencoders [PDF]
, 2021 Deep generative models have recently emerged as encouraging tools for the de novo molecular structure generation. Even though considerable advances have been achieved in recent years, the field of generative molecular design is still in its infancy.
Blake Blumenfeld, Gaines +4 more
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A semantic segmentation scheme for night driving improved by irregular convolution
Frontiers in Neurorobotics, 2023 In order to solve the poor performance of real-time semantic segmentation of night road conditions in video images due to insufficient light and motion blur, this study proposes a scheme: a fuzzy information complementation strategy based on generative ...
Yang Xuantao, Han Junying, Liu Chenzhong
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Kompren: modeling and generating model slicers [PDF]
Software & Systems Modeling, 2012 Among model comprehension tools, model slicers are tools that extract a subset of model elements, for a specific purpose. Model slicers provide a mechanism to isolate and focus on parts of the model, thereby improving the overall analysis process. However, existing slicers are dedicated to a specific modeling language.
Blouin, Arnaud +3 more
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Sensors, 2022 Brain decoding is a process of decoding human cognitive contents from brain activities. However, improving the accuracy of brain decoding remains difficult due to the unique characteristics of the brain, such as the small sample size and high ...
Takaaki Higashi +3 more
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