{"list":"other","total":64,"rows":[{"id":"1905.11946","title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks","created":"2019-05-28","cited_by_count":6442},{"id":"1503.03832","title":"FaceNet: A Unified Embedding for Face Recognition and Clustering","created":"2015-03-12","cited_by_count":2849},{"id":"1711.06025","title":"Learning to Compare: Relation Network for Few-Shot Learning","created":"2017-11-16","cited_by_count":1143},{"id":"1602.07360","title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size","created":"2016-02-24","cited_by_count":1060},{"id":"2011.06225","title":"A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges","created":"2020-11-12","cited_by_count":819},{"id":"2012.07177","title":"Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation","created":"2020-12-13","cited_by_count":596},{"id":"1708.05866","title":"A Brief Survey of Deep Reinforcement Learning","created":"2017-08-19","cited_by_count":483},{"id":"1509.00519","title":"Importance Weighted Autoencoders","created":"2015-09-01","cited_by_count":456},{"id":"1602.02282","title":"Ladder Variational Autoencoders","created":"2016-02-06","cited_by_count":318},{"id":"1809.07294","title":"Generative Adversarial Network in Medical Imaging: A Review","created":"2018-09-19","cited_by_count":257},{"id":"1603.08029","title":"Resnet in Resnet: Generalizing Residual Architectures","created":"2016-03-25","cited_by_count":110},{"id":"2007.16104","title":"Uncovering the structure of clinical EEG signals with self-supervised learning","created":"2020-07-31","cited_by_count":109},{"id":"2103.02148","title":"Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning","created":"2021-03-03","cited_by_count":78},{"id":"1502.00873","title":"DeepID3: Face Recognition with Very Deep Neural Networks","created":"2015-02-03","cited_by_count":62},{"id":"1806.01875","title":"EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals","created":"2018-06-05","cited_by_count":48},{"id":"1711.03985","title":"Applications of Deep Learning and Reinforcement Learning to Biological Data","created":"2017-11-10","cited_by_count":45},{"id":"2001.09346","title":"CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records","created":"2020-01-25","cited_by_count":37},{"id":"2002.01925","title":"Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review","created":"2020-02-04","cited_by_count":33},{"id":"2007.01276","title":"Epileptic Seizures Detection Using Deep Learning Techniques: A Review","created":"2020-07-02","cited_by_count":32},{"id":"1908.00492","title":"A review of feature extraction and performance evaluation in epileptic seizure detection using EEG","created":"2019-08-01","cited_by_count":29},{"id":"1802.00308","title":"ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification","created":"2018-01-30","cited_by_count":27},{"id":"2007.01285","title":"Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review","created":"2020-07-02","cited_by_count":26},{"id":"1911.05419","title":"Self-supervised representation learning from electroencephalography signals","created":"2019-11-13","cited_by_count":24},{"id":"2002.03281","title":"PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification","created":"2020-02-09","cited_by_count":22},{"id":"1905.01375","title":"Temporal Graph Convolutional Networks for Automatic Seizure Detection","created":"2019-05-03","cited_by_count":21},{"id":"2007.10785","title":"Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review","created":"2020-07-16","cited_by_count":21},{"id":"1805.11576","title":"Focal onset seizure prediction using convolutional networks","created":"2018-05-29","cited_by_count":18},{"id":"1602.05875","title":"Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data","created":"2016-02-18","cited_by_count":17},{"id":"1608.00220","title":"Learning Robust Features using Deep Learning for Automatic Seizure Detection","created":"2016-07-31","cited_by_count":16},{"id":"1801.05412","title":"An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach","created":"2018-01-16","cited_by_count":16},{"id":"1710.06122","title":"Convolutional Recurrent Neural Networks for Electrocardiogram Classification","created":"2017-10-17","cited_by_count":14},{"id":"1909.10868","title":"Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection","created":"2019-09-18","cited_by_count":14},{"id":"1508.01667","title":"Places205-VGGNet Models for Scene Recognition","created":"2015-08-07","cited_by_count":13},{"id":"2102.06388","title":"Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data","created":"2021-02-12","cited_by_count":13},{"id":"2103.03081","title":"An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works","created":"2021-02-24","cited_by_count":13},{"id":"1602.02130","title":"Sub-cortical brain structure segmentation using F-CNN's","created":"2016-02-05","cited_by_count":10},{"id":"2102.06883","title":"Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images","created":"2021-02-13","cited_by_count":10},{"id":"1712.09771","title":"Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures","created":"2017-12-28","cited_by_count":8},{"id":"1811.00915","title":"Convolutional Neural Networks for Epileptic Seizure Prediction","created":"2018-11-02","cited_by_count":8},{"id":"1903.08864","title":"Convolutional neural network for detection and classification of seizures in clinical data","created":"2019-03-21","cited_by_count":8},{"id":"2003.04534","title":"Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis","created":"2020-03-08","cited_by_count":8},{"id":"2012.11933","title":"Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals","created":"2020-12-22","cited_by_count":8},{"id":"1709.05849","title":"Neonatal Seizure Detection using Convolutional Neural Networks","created":"2017-09-18","cited_by_count":6},{"id":"1803.09848","title":"Epileptic Seizure Detection: A Deep Learning Approach","created":"2018-03-27","cited_by_count":5},{"id":"2102.12773","title":"A New Neuromorphic Computing Approach for Epileptic Seizure Prediction","created":"2021-02-25","cited_by_count":5},{"id":"1706.03283","title":"Deep Recurrent Neural Networks for seizure detection and early seizure detection systems","created":"2017-06-10","cited_by_count":4},{"id":"1901.05305","title":"Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network","created":"2019-01-14","cited_by_count":4},{"id":"1903.09326","title":"A Novel Independent RNN Approach to Classification of Seizures against Non-seizures","created":"2019-03-22","cited_by_count":4},{"id":"1907.10518","title":"Synthetic Epileptic Brain Activities Using Generative Adversarial Networks","created":"2019-07-22","cited_by_count":4},{"id":"1708.08430","title":"Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection","created":"2017-08-28","cited_by_count":3},{"id":"1903.08100","title":"Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy","created":"2019-03-19","cited_by_count":3},{"id":"2003.07216","title":"Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients","created":"2020-03-16","cited_by_count":3},{"id":"2007.11716","title":"Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture","created":"2020-07-22","cited_by_count":3},{"id":"2012.06104","title":"A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals","created":"2020-12-11","cited_by_count":3},{"id":"2102.08555","title":"Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction","created":"2021-02-17","cited_by_count":3},{"id":"1712.09776","title":"Deep Architectures for Automated Seizure Detection in Scalp EEGs","created":"2017-12-28","cited_by_count":2},{"id":"1801.03610","title":"Deep Classification of Epileptic Signals","created":"2018-01-11","cited_by_count":2},{"id":"1903.03232","title":"SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification","created":"2019-03-08","cited_by_count":2},{"id":"1906.02745","title":"Automated Classification of Seizures against Nonseizures: A Deep Learning Approach","created":"2019-06-05","cited_by_count":2},{"id":"2006.09885","title":"Staging Epileptogenesis with Deep Neural Networks","created":"2020-06-17","cited_by_count":2},{"id":"1702.05192","title":"Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction","created":"2017-02-17","cited_by_count":1},{"id":"1904.13216","title":"Signal2Image Modules in Deep Neural Networks for EEG Classification","created":"2019-04-18","cited_by_count":1},{"id":"1906.00511","title":"Deep learning from wristband sensor data: towards wearable, non-invasive seizure forecasting","created":"2019-06-03","cited_by_count":1},{"id":"2005.07196","title":"Epileptic Seizure Forecasting: Probabilistic seizure-risk assessment and data-fusion","created":"2020-05-15","cited_by_count":1}],"next_cursor":null}