Related references
Note: Only part of the references are listed.Novel fault diagnosis scheme utilizing deep learning networks
Hanan A. Saeed et al.
PROGRESS IN NUCLEAR ENERGY (2020)
Image Caption Generation with Part of Speech Guidance
Xinwei He et al.
PATTERN RECOGNITION LETTERS (2019)
A hierarchical and regional deep learning architecture for image description generation
Philip Kinghorn et al.
PATTERN RECOGNITION LETTERS (2019)
A Bi-LSTM memory network for end-to-end goal-oriented dialog learning
Byoungjae Kim et al.
COMPUTER SPEECH AND LANGUAGE (2019)
Anomaly detection in ad-hoc networks based on deep learning model: A plug and play device
Fang Feng et al.
AD HOC NETWORKS (2019)
Enhancing generative conversational service agents with dialog history and external knowledge
Zongsheng Wang et al.
COMPUTER SPEECH AND LANGUAGE (2019)
Adversarial training and decoding strategies for end-to-end neural conversation models
Takaaki Hori et al.
COMPUTER SPEECH AND LANGUAGE (2019)
Learning-based network path planning for traffic engineering
Yuan Zuo et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach
Filipe Rodrigues et al.
INFORMATION FUSION (2019)
Deep learning analysis of mobile physiological, environmental and location sensor data for emotion detection
Eiman Kanjo et al.
INFORMATION FUSION (2019)
Dialogue breakdown detection robust to variations in annotators and dialogue systems
Junya Takayama et al.
COMPUTER SPEECH AND LANGUAGE (2019)
Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer
Zhongpei Cen et al.
ENERGY (2019)
Monitoring the public opinion about the vaccination topic from tweets analysis
Eleonora D'Andrea et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Assessing the performances of different neural network architectures for the detection of screams and shouts in public transportation
Pierre Laffitte et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees
Mathias Kraus et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Joint modeling of users, questions and answers for answer selection in CQA
Jiahui Wen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Developing a Twitter-based traffic event detection model using deep learning architectures
Sina Dabiri et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Life Model: A novel representation of life-long temporal sequences in health predictive analytics
Alireza Manashty et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Dynamic emotion modelling and anomaly detection in conversation based on emotional transition tensor
Xiao Sun et al.
INFORMATION FUSION (2019)
End-to-end neural opinion extraction with a transition-based model
Meishan Zhang et al.
INFORMATION SYSTEMS (2019)
Grey relational analysis, principal component analysis and forecasting of carbon emissions based on long short-term memory in China
Yuansheng Huang et al.
JOURNAL OF CLEANER PRODUCTION (2019)
Learning document representation via topic-enhanced LSTM model
Wenyue Zhang et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Information extraction from historical handwritten document images with a context-aware neural model
J. Ignacio Toledo et al.
PATTERN RECOGNITION (2019)
Multi attention module for visual tracking
Boyu Chen et al.
PATTERN RECOGNITION (2019)
Improved EEMD-based crude oil price forecasting using LSTM networks
Yu-Xi Wu et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
Transferred deep learning based waveform recognition for cognitive passive radar
Qing Wang et al.
SIGNAL PROCESSING (2019)
Long short-term memory - Fully connected (LSTM-FC) neural network for PM2.5 concentration prediction
Jiachen Zhao et al.
CHEMOSPHERE (2019)
Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting
Yong Chen et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Attention-based long short-term memory network using sentiment lexicon embedding for aspect-level sentiment analysis in Korean
Minchae Song et al.
INFORMATION PROCESSING & MANAGEMENT (2019)
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
Yong Yu et al.
NEURAL COMPUTATION (2019)
Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses
Kun-Yi Huang et al.
PATTERN RECOGNITION (2019)
Fault diagnosis of wind turbine based on Long Short-term memory networks
Jinhao Lei et al.
RENEWABLE ENERGY (2019)
ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation
Hai-Cheng Yi et al.
MOLECULAR THERAPY-NUCLEIC ACIDS (2019)
Long short-term memory-based Malware classification method for information security
Jungho Kang et al.
COMPUTERS & ELECTRICAL ENGINEERING (2019)
Automated groove identification and measurement using long short-term memory unit
A. Zhixing Cai et al.
MEASUREMENT (2019)
Long short-term memory neural network based fault detection and isolation for electro-mechanical actuators
Jing Yang et al.
NEUROCOMPUTING (2019)
Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm
Wei Wang et al.
APPLIED ENERGY (2019)
Abnormal heart sound detection using temporal quasi-periodic features and long short-term memory without segmentation
Wenjie Zhang et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)
Real-time occupancy prediction in a large exhibition hall using deep learning approach
Seonghyeon Kim et al.
ENERGY AND BUILDINGS (2019)
On extended long short-term memory and dependent bidirectional recurrent neural network
Yuanhang Su et al.
NEUROCOMPUTING (2019)
Human trajectory prediction in crowded scene using social-affinity Long Short-Term Memory
Zhao Pei et al.
PATTERN RECOGNITION (2019)
Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks
Jichao Hong et al.
APPLIED ENERGY (2019)
Novel volatility forecasting using deep learning-Long Short Term Memory Recurrent Neural Networks
Yang Liu
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks
Tom Van Steenkiste et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2019)
Speech emotion recognition using deep 1D & 2D CNN LSTM networks
Jianfeng Zhao et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)
A deep learning approach for real-time detection of atrial fibrillation
Rasmus S. Andersen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer
Sajad Homayoun et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Towards early identification of online rumors based on long short-term memory networks
Yahui Liu et al.
INFORMATION PROCESSING & MANAGEMENT (2019)
An Evolutionary Context-aware Sequential Model for topic evolution of text stream
Ziyu Lu et al.
INFORMATION SCIENCES (2019)
A wearable sensor-based activity prediction system to facilitate edge computing in smart healthcare system
Md. Zia Uddin
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2019)
Bidirectional handshaking LSTM for remaining useful life prediction
Ahmed Elsheikh et al.
NEUROCOMPUTING (2019)
Multiview 3D human pose estimation using improved least-squares and LSTM networks
Juan Carlos Nunez et al.
NEUROCOMPUTING (2019)
Time series forecasting of petroleum production using deep LSTM recurrent networks
Alaa Sagheer et al.
NEUROCOMPUTING (2019)
Script identification in natural scene image and video frames using an attention based Convolutional-LSTM network
Ankan Kumar Bhunia et al.
PATTERN RECOGNITION (2019)
Block-sparsity recovery via recurrent neural network
Chengcheng Lyu et al.
SIGNAL PROCESSING (2019)
Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks
Xiaoyu Li et al.
JOURNAL OF ENERGY STORAGE (2019)
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
Toby Perrett et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data
Jie Bao et al.
ACCIDENT ANALYSIS AND PREVENTION (2019)
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
Chenyang Si et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
VideoLSTM convolves, attends and flows for action recognition
Zhenyang Li et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2018)
Deep learning with long short-term memory networks for financial market predictions
Thomas Fischer et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2018)
Entity disambiguation with memory network
Yaming Sun et al.
NEUROCOMPUTING (2018)
Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots
Mehmet Turan et al.
NEUROCOMPUTING (2018)
CCG supertagging via Bidirectional LSTM-CRF neural architecture
Rekia Kadari et al.
NEUROCOMPUTING (2018)
Convolutional Neural Networks and Long Short-Term Memory for skeleton-based human activity and hand gesture recognition
Juan C. Nunez et al.
PATTERN RECOGNITION (2018)
Face alignment recurrent network
Qiqi Hou et al.
PATTERN RECOGNITION (2018)
Recognizing irregular entities in biomedical text via deep neural networks
Fei Li et al.
PATTERN RECOGNITION LETTERS (2018)
Small bowel motility assessment based on fully convolutional networks and long short-term memory
Mengqi Pei et al.
KNOWLEDGE-BASED SYSTEMS (2017)
Evaluating deep learning architectures for Speech Emotion Recognition
Haytham M. Fayek et al.
NEURAL NETWORKS (2017)
Urdu Nastaliq recognition using convolutional-recursive deep learning
Saeeda Naz et al.
NEUROCOMPUTING (2017)
Recurrent neural network for facial landmark detection
Yu Chen et al.
NEUROCOMPUTING (2017)
Accurate object detection using memory-based models in surveillance scenes
Xudong Li et al.
PATTERN RECOGNITION (2017)
Contribution of recurrent connectionist language models in improving LSTM-based Arabic text recognition in videos
Sonia Yousfi et al.
PATTERN RECOGNITION (2017)
Let the robot tell: Describe car image with natural language via LSTM
Long Chen et al.
PATTERN RECOGNITION LETTERS (2017)
Learning off-line vs. on-line models of interactive multimodal behaviors with recurrent neural networks
Duc-Canh Nguyen et al.
PATTERN RECOGNITION LETTERS (2017)
Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems
Seonghan Ryu et al.
PATTERN RECOGNITION LETTERS (2017)
LSTM: A Search Space Odyssey
Klaus Greff et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)
Entity disambiguation with decomposable neural networks
Yaming Sun et al.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2017)
Global Context-Aware Attention LSTM Networks for 3D Action Recognition
Jun Liu et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
LSTM Self-Supervision for Detailed Behavior Analysis
Biagio Brattoli et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Hierarchical & multimodal video captioning: Discovering and transferring multimodal knowledge for vision to language
An-An Liu et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2017)
Visual question answering: Datasets, algorithms, and future challenges
Kushal Kafle et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2017)
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks
Saeeda Naz et al.
NEUROCOMPUTING (2016)
Specific video identification via joint learning of latent semantic concept, scene and temporal structure
Zhicheng Zhao et al.
NEUROCOMPUTING (2016)
An integrated grammar-based approach for mathematical expression recognition
Francisco Alvaro et al.
PATTERN RECOGNITION (2016)
Combination of global and local contexts for text/non-text classification in heterogeneous online handwritten documents
Truyen Van Phan et al.
PATTERN RECOGNITION (2016)
The MAHNOB Mimicry Database: A database of naturalistic human interactions
Sanjay Bilakhia et al.
PATTERN RECOGNITION LETTERS (2015)
Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data
Fabien Ringeval et al.
PATTERN RECOGNITION LETTERS (2015)
Application of a hybrid quantized Elman neural network in short-term load forecasting
Penghua Li et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2014)
Probabilistic speech feature extraction with context-sensitive Bottleneck neural networks
Martin Woellmer et al.
NEUROCOMPUTING (2014)
Keyword spotting for self-training of BLSTM NN based handwriting recognition systems
Volkmar Frinken et al.
PATTERN RECOGNITION (2014)
Neural network language models for off-line handwriting recognition
F. Zamora-Martinez et al.
PATTERN RECOGNITION (2014)
A maze learning comparison of Elman, long short-term memory, and Mona neural networks
Thomas E. Portegys
NEURAL NETWORKS (2010)
Combining diverse on-line and off-line systems for handwritten text line recognition
Marcus Liwicki et al.
PATTERN RECOGNITION (2009)
Training recurrent networks by Evolino
Juergen Schmichuber et al.
NEURAL COMPUTATION (2007)
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
A Graves et al.
NEURAL NETWORKS (2005)
LSTM recurrent networks learn simple context-free and context-sensitive languages
FA Gers et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2001)
Learning to forget: Continual prediction with LSTM
FA Gers et al.
NEURAL COMPUTATION (2000)
Share Paper
