Deep Learning in Bioinformatics

21 March 2016

Papers citing "Deep Learning in Bioinformatics"

41 / 91 papers shown

Title
Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy Dicheng Chen Zi Wang D. Guo V. Orekhov X. Qu 13 103 0 13 Jan 2020
Learning from Learning Machines: Optimisation, Rules, and Social Norms Travis LaCroix Yoshua Bengio 12 7 0 29 Dec 2019
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study Zhibin Zhao Qiyang Zhang Xiaolei Yu Chuang Sun Shibin Wang Ruqiang Yan Xuefeng Chen AI4CE 11 353 0 28 Dec 2019
Deep Variable-Block Chain with Adaptive Variable Selection Lixiang Zhang Lin Lin Jia Li 9 0 0 07 Dec 2019
Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information Seonwoo Min Seunghyun Park Siwon Kim Hyun-Soo Choi Byunghan Lee Sungroh Yoon SSL 6 62 0 25 Nov 2019
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems Adam T. Rupe Nalini Kumar V. Epifanov K. Kashinath O. Pavlyk ... M. Patwary Sergey Maidanov Victor W. Lee M. Prabhat James P. Crutchfield AI4CE 19 19 0 25 Sep 2019
Random Error Sampling-based Recurrent Neural Network Architecture Optimization Andrés Camero J. Toutouh Enrique Alba 4 16 0 04 Sep 2019
Neural Architecture Search by Estimation of Network Structure Distributions A. Muravev Jenni Raitoharju M. Gabbouj OOD 14 1 0 19 Aug 2019
Machine learning without a feature set for detecting bursts in the EEG of preterm infants John M. O'Toole Geraldine Boylan OOD 17 4 0 16 Jul 2019
Convolutional neural network models for cancer type prediction based on gene expression Milad Mostavi Yu-Chiao Chiu Yufei Huang Yidong Chen MedIm 6 183 0 18 Jun 2019
Sionnx: Automatic Unit Test Generator for ONNX Conformance Xinli Cai Peng Zhou Shuhan Ding Guoyang Chen Weifeng Zhang 9 4 0 12 Jun 2019
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction Yunchuan Kong Tianwei Yu 6 2 0 23 May 2019
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers Xiang Zhang Lina Yao Xianzhi Wang Jessica J. M. Monaghan David Mcalpine Yu Zhang 3DV 25 140 0 10 May 2019
Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry Yueqin Li A. Mahjoubfar C. Chen K. Niazi Li Pei Bahram Jalali 8 81 0 09 Apr 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu-Hu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 21 295 0 28 Feb 2019
AnomiGAN: Generative adversarial networks for anonymizing private medical data Ho Bae Dahuin Jung Sungroh Yoon MedIm 9 37 0 31 Jan 2019
Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware Shiwei Liu D. Mocanu A. R. Ramapuram Matavalam Yulong Pei Mykola Pechenizkiy BDL 11 88 0 26 Jan 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 22 1,475 0 10 Jan 2019
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences Xuesu Xiao Jongsoo Keum Mohamed Suhail 11 411 0 06 Nov 2018
NSML: Meet the MLaaS platform with a real-world case study Hanjoo Kim Minkyu Kim Dongjoo Seo Jinwoong Kim Heungseok Park ... KyungHyun Kim Youngil Yang Youngkwan Kim Nako Sung Jung-Woo Ha 16 130 0 08 Oct 2018
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography Chuanqi Tan F. Sun Wenchang Zhang Jianhua Chen Chunfang Liu 10 41 0 24 Jul 2018
SupportNet: solving catastrophic forgetting in class incremental learning with support data Yu-Hu Li Zhongxiao Li Lizhong Ding Yijie Pan Peng Yang Yuhui Hu Wei Chen Xin Gao CLL 12 28 0 08 Jun 2018
Robust Tumor Localization with Pyramid Grad-CAM Sungmin Lee Jangho Lee Jungbeom Lee Chul-Kee Park Sungroh Yoon MedIm 8 31 0 29 May 2018
Deep Learning in Spiking Neural Networks A. Tavanaei M. Ghodrati Saeed Reza Kheradpisheh T. Masquelier Anthony Maida 4 1,053 0 22 Apr 2018
Bioinformatics and Medicine in the Era of Deep Learning D. Bacciu P. Lisboa José D. Martín R. Stoean A. Vellido AI4CE BDL 33 17 0 27 Feb 2018
Deep Learning for Genomics: A Concise Overview Tianwei Yue Yuanxin Wang Longxiang Zhang Chunming Gu Haohan Wang Wenping Wang Qi Lyu Yujie Dun AILaw VLM BDL 30 89 0 02 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 25 636 0 21 Jan 2018
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data Yunchuan Kong Tianwei Yu AI4CE 11 94 0 18 Jan 2018
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 25 682 0 06 Dec 2017
Adversarial Training for Disease Prediction from Electronic Health Records with Missing Data Uiwon Hwang Sungwoon Choi Han-Byoel Lee Sungroh Yoon 22 15 0 11 Nov 2017
Applications of Deep Learning and Reinforcement Learning to Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain S. Vassanelli OffRL AI4CE 39 640 0 10 Nov 2017
Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer Giuseppe Jurman V. Maggio Diego Fioravanti Ylenia Giarratano Isotta Landi Margherita Francescatto Claudio Agostinelli M. Chierici Manlio De Domenico Cesare Furlanello 16 8 0 16 Oct 2017
Phylogenetic Convolutional Neural Networks in Metagenomics Diego Fioravanti Ylenia Giarratano V. Maggio Claudio Agostinelli M. Chierici Giuseppe Jurman Cesare Furlanello 6 89 0 06 Sep 2017
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation A. Amidi Shervine Amidi D. Vlachakis V. Megalooikonomou Nikos Paragios E. Zacharaki MedIm 27 85 0 19 Jul 2017
DNA Steganalysis Using Deep Recurrent Neural Networks Ho Bae Byunghan Lee Sunyoung Kwon Sungroh Yoon 17 9 0 27 Apr 2017
DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction Sunyoung Kwon Sungroh Yoon 13 52 0 27 Apr 2017
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning G. Zhong Lina Wang Junyu Dong AI4TS 26 180 0 25 Nov 2016
An Efficient Approach to Boosting Performance of Deep Spiking Network Training Seongsik Park Sang-gil Lee Hyunha Nam Sungroh Yoon 21 2 0 08 Nov 2016
Near-Data Processing for Differentiable Machine Learning Models Hyeokjun Choe Seil Lee Hyunha Nam Seongsik Park Seijoon Kim Eui-Young Chung Sungroh Yoon BDL 6 9 0 06 Oct 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014