Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

8 June 2017

Papers citing "Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs"

50 / 322 papers shown

Title
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 41 21 0 20 Jul 2021
Time Series Anomaly Detection for Smart Grids: A Survey J. Zhang Di Wu Benoit Boulet AI4TS 22 43 0 16 Jul 2021
Towards Better Adversarial Synthesis of Human Images from Text Rania Briq Pratika Kochar Juergen Gall 3DH 26 8 0 05 Jul 2021
SilGAN: Generating driving maneuvers for scenario-based software-in-the-loop testing Dhasarathy Parthasarathy Anton Johansson 21 10 0 05 Jul 2021
Property-Aware Robot Object Manipulation: a Generative Approach Luca Garello Linda Lastrico F. Rea Fulvio Mastrogiovanni Nicoletta Noceti A. Sciutti 14 9 0 08 Jun 2021
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation Alex J. Chan Ioana Bica Alihan Huyuk Daniel Jarrett M. Schaar 35 14 0 08 Jun 2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications Zhipeng Cai Zuobin Xiong Honghui Xu Peng-Shuai Wang Wei Li Yi-Lun Pan 24 139 0 07 Jun 2021
Synthesis of standard 12-lead electrocardiograms using two dimensional generative adversarial network Yu-He Zhang S. Babaeizadeh GAN 26 21 0 02 Jun 2021
OCT-GAN: Neural ODE-based Conditional Tabular GANs Jayoung Kim Jinsung Jeon Jaehoon Lee Jihyeon Hyeong Noseong Park 31 37 0 31 May 2021
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting Yang Chen Dustin J. Kempton Azim Ahmadzadeh R. Angryk AI4TS 22 12 0 16 May 2021
Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks Farnaz H. Foomani D. Anisuzzaman J. Niezgoda Jonathan Niezgoda William M. Guns Sandeep Gopalakrishnan Zeyun Yu SyDa 16 15 0 03 May 2021
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem Lun Jiang N. S. Sadghiani Zhuo Tao Andrew Cohen 27 0 0 07 Apr 2021
A Spectral Enabled GAN for Time Series Data Generation Kaleb E. Smith Anthony O. Smith GAN 30 12 0 02 Mar 2021
On the Fairness of Generative Adversarial Networks (GANs) Patrik Kenfack Daniil Dmitrievich Arapovy Rasheed Hussain S. M. Ahsan Kazmi A. Khan GAN 22 21 0 01 Mar 2021
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences Farbod Taymouri M. Rosa S. Erfani 21 25 0 15 Feb 2021
Conditional Loss and Deep Euler Scheme for Time Series Generation Carl Remlinger Joseph Mikael Romuald Elie DiffM 27 12 0 10 Feb 2021
Regularized Generative Adversarial Network Gabriele Di Cerbo Ali Hirsa Ahmad Shayaan GAN OOD 11 1 0 09 Feb 2021
Neural SDEs as Infinite-Dimensional GANs Patrick Kidger James Foster Xuechen Li Harald Oberhauser Terry Lyons DiffM 11 142 0 06 Feb 2021
Time Series (re)sampling using Generative Adversarial Networks Christian Moller Dahl Emil N. Sørensen TTA AI4TS 23 6 0 30 Jan 2021
Conditional Generative Models for Counterfactual Explanations A. V. Looveren Janis Klaise G. Vacanti Oliver Cobb CML 24 29 0 25 Jan 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 24 5 0 14 Jan 2021
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation Xuewen Zhang Yan Qin Chau Yuen Lahiru Jayasinghe Xiang Liu 36 89 0 11 Jan 2021
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies Pourya Shamsolmoali Masoumeh Zareapoor Eric Granger Huiyu Zhou Ruili Wang M. E. Celebi Jie Yang EGVM 41 138 0 26 Dec 2020
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders Siddharth Biswal S. Ghosh J. Duke B. Malin Walter F. Stewart Jimeng Sun SyDa BDL DRL 48 40 0 18 Dec 2020
Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods James Jordon A. Wilson M. Schaar AI4CE 87 16 0 08 Dec 2020
A Survey on Deep Learning for Human Mobility Massimiliano Luca Gianni Barlacchi Bruno Lepri Luca Pappalardo HAI 18 208 0 04 Dec 2020
DeepNAG: Deep Non-Adversarial Gesture Generation M. Maghoumi E. Taranta J. Laviola 37 21 0 18 Nov 2020
Personality-Driven Gaze Animation with Conditional Generative Adversarial Networks Funda Durupinar CVBM GAN 25 2 0 11 Nov 2020
Toward a Generalization Metric for Deep Generative Models Hoang Thanh-Tung T. Tran 39 5 0 02 Nov 2020
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series G. González P. Casas Alicia Fernández G. Gómez 24 17 0 16 Oct 2020
On the Evaluation of Generative Adversarial Networks By Discriminative Models A. Torfi Mohammadreza Beyki Edward A. Fox EGVM 24 7 0 07 Oct 2020
Sense and Learn: Self-Supervision for Omnipresent Sensors Aaqib Saeed Victor Ungureanu Beat Gfeller OOD SSL 22 39 0 28 Sep 2020
Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks Mehak Gupta Rahmatollah Beheshti SyDa GAN AI4TS 8 13 0 18 Sep 2020
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations Yassine Himeur A. Alsalemi Ayman Al-Kababji F. Bensaali Abbes Amira 11 64 0 14 Sep 2020
STEP-GAN: A Step-by-Step Training for Multi Generator GANs with application to Cyber Security in Power Systems Mohammad Adiban Arash Safari G. Salvi AAML 8 5 0 11 Sep 2020
tsBNgen: A Python Library to Generate Time Series Data from an Arbitrary Dynamic Bayesian Network Structure M. Tadayon Gregory Pottie SyDa 9 1 0 09 Sep 2020
Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools Tom Peetz Sebastian Vogt Martin Zaefferer T. Bartz-Beielstein 9 0 0 03 Sep 2020
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks M. A. Bashar R. Nayak GAN AI4TS 20 102 0 21 Aug 2020
Generative Adversarial Networks for Spatio-temporal Data: A Survey Nan Gao Hao Xue Wei Shao Sichen Zhao K. K. Qin Arian Prabowo Mohammad Saiedur Rahaman Flora D. Salim GAN AI4TS AI4CE 16 106 0 18 Aug 2020
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation Kasun Bandara Hansika Hewamalage Yuan-Hao Liu Yanfei Kang Christoph Bergmeir AI4TS 21 115 0 06 Aug 2020
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks Brian Kenji Iwana S. Uchida AI4TS 19 489 0 31 Jul 2020
Unsupervised Event Detection, Clustering, and Use Case Exposition in Micro-PMU Measurements Armin Aligholian A. Shahsavari E. Stewart Ed Cortez Hamed Mohsenian-Rad 13 37 0 30 Jul 2020
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories A. Demetriou Henrik Alfsvåg Sadegh Rahrovani Morteza Haghir Chehreghani 27 37 0 28 Jul 2020
Hide-and-Seek Privacy Challenge James Jordon Daniel Jarrett Jinsung Yoon Tavian Barnes Paul Elbers P. Thoral A. Ercole Cheng Zhang Danielle Belgrave M. Schaar MIACV 14 24 0 23 Jul 2020
Garment Design with Generative Adversarial Networks Chenxi Yuan Mohsen Moghaddam GAN AI4CE 34 7 0 21 Jul 2020
Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks Edmond Lezmi Jules Roche T. Roncalli Jiali Xu 26 6 0 09 Jul 2020
A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes C. Davi U. Braga-Neto GAN 14 2 0 02 Jul 2020
Conditional GAN for timeseries generation Kaleb E. Smith Anthony O. Smith AI4TS 16 77 0 30 Jun 2020
A Data-driven Market Simulator for Small Data Environments Hans Bühler Blanka Horvath Terry Lyons Imanol Perez Arribas Ben Wood 27 65 0 21 Jun 2020
Data Augmentation of IMU Signals and Evaluation via a Semi-Supervised Classification of Driving Behavior Amani Jaafer Gustav Nilsson Giacomo Como 16 9 0 16 Jun 2020