Standout Papers

Bidirectional recurrent neural networks 1997 2026 2006 2016 4.5k
  1. Bidirectional recurrent neural networks (1997)
    Mike Schuster, Kuldip K. Paliwal IEEE Transactions on Signal Processing

Citation Impact

Citing Papers

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Suffix Bidirectional Long Short-Term Memory.
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A Clockwork RNN
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Towards End-To-End Speech Recognition with Recurrent Neural Networks
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Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
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Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
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antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation
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A Novel Connectionist System for Unconstrained Handwriting Recognition
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Deep learning in biomedicine
2018
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
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Framewise phoneme classification with bidirectional LSTM and other neural network architectures
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A Completely Reimplemented MPI Bioinformatics Toolkit with a New HHpred Server at its Core
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Machine learning for molecular and materials science
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Big data and machine learning algorithms for health-care delivery
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Preparing Medical Imaging Data for Machine Learning
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Deep learning and process understanding for data-driven Earth system science
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Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks
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Improved protein structure prediction using potentials from deep learning
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Neuroscience-Inspired Artificial Intelligence
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Using Deep Learning for Image-Based Plant Disease Detection
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Artificial intelligence in radiology
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Sixty-five years of the long march in protein secondary structure prediction: the final stretch?
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Deep learning in neural networks: An overview
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Machine learning: Trends, perspectives, and prospects
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Brain Intelligence: Go beyond Artificial Intelligence
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On-line Driver Distraction Detection using Long Short-Term Memory
2011
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
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Time-resolved reconstruction of flow field around a circular cylinder by recurrent neural networks based on non-time-resolved particle image velocimetry measurements
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LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework
2012
Artificial Intelligence in Surgery: Promises and Perils
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An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition
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Keyword spotting exploiting Long Short-Term Memory
2012
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification
2017
MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
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Deep learning with coherent nanophotonic circuits
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Learning Multi-View Representation With LSTM for 3-D Shape Recognition and Retrieval
2018
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks
2016
Framewise phoneme classification with bidirectional LSTM networks
2006
Supervised Sequence Labelling with Recurrent Neural Networks
2012
Advanced monitoring of machining operations
2010 Standout
Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space
2011
Peptide-binding specificity prediction using fine-tuned protein structure prediction networks
2023 StandoutNobel
Deep learning with long short-term memory networks for financial market predictions
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Digital Reticular Chemistry
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Sequence labelling in structured domains with hierarchical recurrent neural networks
2007
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations
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Deep Learning for 3D Point Clouds: A Survey
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Online Driver Distraction Detection Using Long Short-Term Memory
2011
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
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Leveraging Weak Semantic Relevance for Complex Video Event Classification
2017
Bidirectional Long Short-Term Memory Networks for Predicting the Subcellular Localization of Eukaryotic Proteins
2007
A survey of deep neural network architectures and their applications
2016 Standout
A Critical Review of Recurrent Neural Networks for Sequence Learning
2015 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks
2018
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
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Object Detection With Deep Learning: A Review
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Object Detection in 20 Years: A Survey
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The practical implementation of artificial intelligence technologies in medicine
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Deep Learning Enabled Semantic Communication Systems
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Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
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Efficient Architecture Search by Network Transformation
2018
A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning
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Deep Visual-Semantic Alignments for Generating Image Descriptions
2016
Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
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A review on the attention mechanism of deep learning
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Multimodal Machine Learning: A Survey and Taxonomy
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Deep Learning in Medical Image Analysis
2017 Standout
LSTM: A Search Space Odyssey
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Protein contact prediction using metagenome sequence data and residual neural networks
2019 StandoutNobel

Works of Mike Schuster being referenced

Bidirectional recurrent neural networks
1997 Standout
Phoneme boundary estimation using bidirectional recurrent neural networks and its applications
1999
Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends
2015
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
2017
Rankless by CCL
2026