Results 21 to 30 of about 212,177 (318)
Multimeasurement Generative Models
CoRR, 2021 Our code is publicly available at https://github.com/nnaisense ...
Saeed Saremi, Rupesh Kumar Srivastava
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De Novo Molecule Design Through Molecular Generative Model Conditioned by 3D Information of Protein Binding Sites [PDF]
, 2020 De novo molecule design through molecular generative model is gaining increasing attention in recent years. Here a novel generative model was proposed by integrating the 3D structural information of the protein binding pocket into the conditional RNN ...
Ting, Ran, Mingyuan, Xu, Hongming, Chen
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IEEE Access, 2023 This paper tackles the electron microscope image processing for rubber material discovery. In rubber material science fields, electron microscope images are used to observe the properties of materials during their development process. Hence, by analyzing
Rintaro Yanagi +4 more
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Advanced Science, 2023 A multimodal deep‐learning (MDL) framework is presented for predicting physical properties of a ten‐dimensional acrylic polymer composite material by merging physical attributes and chemical data.
Shun Muroga, Yasuaki Miki, Kenji Hata
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Image-mmWave Radio Frequency Domain Translation with Generative Models [PDF]
, 2023 embargoed_20261011Image-mmWave Radio Frequency Domain Translation with Generative ModelsImage-mmWave Radio Frequency Domain Translation with Generative ...
KARABULUT, BURAK
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A Generic Model of Consciousness
Journal of Artificial Intelligence and Consciousness, 2023 This is a model of consciousness. The hard problem of consciousness, what it feels like, is answered. The work builds on medical research analyzing the source and mechanisms associated with our feelings. It goes further by describing a generic model with wide applicability.
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A generative model for music transcription [PDF]
, 2006 In this paper, we present a graphical model for polyphonic music transcription. Our model, formulated as a dynamical Bayesian network, embodies a transparent and computationally tractable approach to this acoustic analysis problem.
Barber, D. +5 more
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Deep Generative Model for Sparse Graphs using Text-Based Learning with Augmentation in Generative Examination Networks [PDF]
, 2019 Graphs and networks are a key research tool for a variety of science fields, most notably chemistry, biology, engineering and social sciences. Modeling and generation of graphs with efficient sampling is a key challenge for graphs. In particular, the non-
Ruud, van Deursen +3 more
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SVM based generative adverserial networks for federated learning and edge computing attack model and outpoising [PDF]
, 2022 Machine learning algorithms are prone to attacks: An attackers can use the malicious nodes to attack the training dataset to manipulate the process of learning and reduce the efficiency of the algorithm working performance.
Alhakami, Wajdi +17 more
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