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Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks

IEEE transactions on multimedia, 2015-11, Vol.17 (11), p.1875-1886

2015

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Molecular Geometry Prediction using a Deep Generative Graph Neural Network

Scientific reports, 2019-12, Vol.9 (1), p.20381-13, Article 20381

2019

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QCD-aware recursive neural networks for jet physics

The journal of high energy physics, 2019-01, Vol.2019 (1), p.1-23, Article 57

2019

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Masked graph modeling for molecule generation

Nature communications, 2021-05, Vol.12 (1), p.3156-3156, Article 3156

2021

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Structure-based protein function prediction using graph convolutional networks

Nature communications, 2021-05, Vol.12 (1), p.3168-3168, Article 3168

2021

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Convolutional recurrent neural networks for music classification

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.2392-2396

2017

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Describing Videos by Exploiting Temporal Structure

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.4507-4515

2015

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Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines

Artificial Neural Networks and Machine Learning – ICANN 2011, p.10-17

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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

IEEE transactions on medical imaging, 2020-04, Vol.39 (4), p.1184-1194

2020

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An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Medical image analysis, 2021-02, Vol.68, p.101908-101908, Article 101908

2021

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PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization

Genome Biology, 2024-04, Vol.25 (1), p.88-88

2024

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Differences between human and machine perception in medical diagnosis

Scientific reports, 2022-04, Vol.12 (1), p.6877-6877, Article 6877

2022

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Prediction of total knee replacement using deep learning analysis of knee MRI

Scientific reports, 2023-04, Vol.13 (1), p.6922-6922, Article 6922

2023

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Conditional Molecular Design with Deep Generative Models

Journal of chemical information and modeling, 2019-01, Vol.59 (1), p.43-52

2019

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Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data

PLoS computational biology, 2021-01, Vol.17 (1), p.e1008569-e1008569

2021

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Neural machine translation with a polysynthetic low resource language

Machine translation, 2020-12, Vol.34 (4), p.325-346

2020

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Recurrent Neural Networks for Multivariate Time Series with Missing Values

Scientific reports, 2018-04, Vol.8 (1), p.6085-12, Article 6085

2018

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High-level implementable methods for automated building code compliance checking

Developments in the built environment, 2023-10, Vol.15, p.100174, Article 100174

2023

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Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms

Journal of digital imaging, 2021-12, Vol.34 (6), p.1414-1423

2021

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Spatio-Temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks

Frontiers in neuroscience, 2018-09, Vol.12, p.600-600

2018

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Fine-grained attention mechanism for neural machine translation

Neurocomputing (Amsterdam), 2018-04, Vol.284, p.171-176

2018

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ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation

2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016, p.426-433

2016

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Insertion-based Decoding with Automatically Inferred Generation Order

Transactions of the Association for Computational Linguistics, 2019-11, Vol.7, p.661-676

2019

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NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction

Bioinformatics (Oxford, England), 2022-10, Vol.38 (20), p.4762-4770

2022

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Fully Character-Level Neural Machine Translation without Explicit Segmentation

Transactions of the Association for Computational Linguistics, 2017-12, Vol.5, p.365-378

2017

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Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks

Molecular Geometry Prediction using a Deep Generative Graph Neural Network

QCD-aware recursive neural networks for jet physics

Masked graph modeling for molecule generation

Structure-based protein function prediction using graph convolutional networks

Convolutional recurrent neural networks for music classification

Describing Videos by Exploiting Temporal Structure

Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization

Differences between human and machine perception in medical diagnosis

Prediction of total knee replacement using deep learning analysis of knee MRI

Conditional Molecular Design with Deep Generative Models

Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data

Neural machine translation with a polysynthetic low resource language

Recurrent Neural Networks for Multivariate Time Series with Missing Values

High-level implementable methods for automated building code compliance checking

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms

Spatio-Temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks

Fine-grained attention mechanism for neural machine translation

ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation

Insertion-based Decoding with Automatically Inferred Generation Order

NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction

Fully Character-Level Neural Machine Translation without Explicit Segmentation

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