Citation Impact
Citing Papers
Deep content-based music recommendation
2013
Global food security, biodiversity conservation and the future of agricultural intensification
2012 Standout
State-of-the-art in artificial neural network applications: A survey
2018 Standout
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
2016 Standout
A deep learning framework for financial time series using stacked autoencoders and long-short term memory
2017 Standout
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
2021 StandoutNobel
Designer landscapes for sustainable biofuels
2009
A survey on deep learning in medical image analysis
2017 Standout
Brain tumor segmentation with Deep Neural Networks
2016 Standout
Deep learning
2015 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated
2016 StandoutNobel
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Deep learning in neural networks: An overview
2014 Standout
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Rapid Detection of Rice Disease Based on FCM-KM and Faster R-CNN Fusion
2019 Standout
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
2022 Standout
A review of unsupervised feature learning and deep learning for time-series modeling
2014
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
2018 Standout
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
2015 Standout
Deep Learning-Based Classification of Hyperspectral Data
2014 Standout
Deep visual domain adaptation: A survey
2018 Standout
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
2020 Standout
Deep learning for healthcare: review, opportunities and challenges
2017 Standout
Knowledge Distillation: A Survey
2021 Standout
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Unsupervised Learning Of Sparse Features For Scalable Audio Classification.
2011
Auto-Encoding Variational Bayes
2013 Standout
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
2015 Standout
Geometric Deep Learning: Going beyond Euclidean data
2017 Standout
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
2014 Standout
Predicting residential energy consumption using CNN-LSTM neural networks
2019 Standout
A survey of deep neural network architectures and their applications
2016 Standout
Deep Reinforcement Learning: A Brief Survey
2017 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
A semantic matching energy function for learning with multi-relational data
2013
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
2015 Standout
Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip
2016
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
2016 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
2016 Standout
Deep Learning: Methods and Applications
2014
Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations
2021 StandoutNobel
Time series forecasting of petroleum production using deep LSTM recurrent networks
2018 Standout
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
2016 Standout
Knowledge Graph Embedding: A Survey of Approaches and Applications
2017 Standout
Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network
2017 Standout
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
EmoNets: Multimodal deep learning approaches for emotion recognition in video
2015
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
2016 Standout
Deep learning in agriculture: A survey
2018 Standout
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
2021 Standout
Works of Philippe Hamel being referenced
Evaluation des risques d'érosion en jeune plantation de palmiers à huile conduite en association avec des cultures vivrières à partir de l'équation de Wischmeier et Smith
1986
Learning Features From Music Audio With Deep Belief Networks.
2010
Temporal Pooling And Multiscale Learning For Automatic Annotation And Ranking Of Music Audio.
2011