Search results for "autoregression"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
101	Zhe Wang, Jiefu Zhai, Mengchu Zhou	A Fast Autoregression Based Image Interpolation Method.	ICNSC	2008	DBLP DOI BibTeX RDF
48	Nibaldo Rodríguez, Orlando Durán	Monthly Bigeye Tuna Catches Forecasting Using Wavelet Functional Autoregression.	WKDD	2010	DBLP DOI BibTeX RDF	forecasting, wavelet analysis, autoregression
48	Nibaldo Rodríguez, Eleuterio Yañez	Monthly Anchovy Catches Forecasting Using Wavelet Polynomial Autoregression.	WKDD	2010	DBLP DOI BibTeX RDF	forecasting, wavelet analysis, autoregression
47	Aaron Hertzmann, Charles E. Jacobs, Nuria Oliver, Brian Curless, David Salesin	Image analogies.	SIGGRAPH	2001	DBLP DOI BibTeX RDF	texture-by-numbers, Markov random fields, non-photorealistic rendering, texture synthesis, autoregression, texture transfer, example-based rendering
41	Ali Tafazzoli, James R. Wilson, Emily K. Lada, Natalie M. Steiger	Skart: A skewness- and autoregression-adjusted batch-means procedure for simulation analysis.	WSC	2008	DBLP DOI BibTeX RDF
41	Xin Lu, Kiyoshi Nishiyama	Dependability of Unstructured Estimator in Vector Autoregression Identification.	SiPS	2007	DBLP DOI BibTeX RDF
40	Eva Cheng, Ian S. Burnett, Christian H. Ritz	Multivariate autoregressive modelling of multichannel reverberant speech.	MMSP	2008	DBLP DOI BibTeX RDF
27	Yongwei Wu, Kai Hwang 0001, Yulai Yuan, Weimin Zheng	Adaptive Workload Prediction of Grid Performance in Confidence Windows.	IEEE Trans. Parallel Distributed Syst.	2010	DBLP DOI BibTeX RDF	autoregression method, Savitzky-Golay filter and parallel applications, Grid computing, Kalman filter, performance prediction, workload characterization
27	Nibaldo Rodríguez, Orlando Durán, Broderick Crawford	Multiscale Functional Autoregressive Model for Monthly Sardines Catches Forecasting.	MICAI	2009	DBLP DOI BibTeX RDF	forecasting, wavelet decomposition, autoregression
27	Anthony N. Pettitt, I. S. Weir, A. G. Hart	A Conditional Autoregressive Gaussian Process for Irregularly Spaced Multivariate Data with Application to Modelling Large Sets of Binary Data.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	conditional autoregression, Markov chain Monte Carlo, spatio-temporal, Bayesian analysis, multivariate data, spatial statistics, binary data
21	Martha Dais Ferreira, Zahra Sadeghi, Stan Matwin	Exploring autoregression patterns for automatic vessel type classification.	J. Supercomput.	2024	DBLP DOI BibTeX RDF
21	Firdous Qaiser, Mudassar Hussain, Abdul Ahad, Ivan Miguel Pires	Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices.	PeerJ Comput. Sci.	2024	DBLP DOI BibTeX RDF
21	Xinyu Chen, Chengyuan Zhang 0002, Xiaoxu Chen, Nicolas Saunier, Lijun Sun	Discovering Dynamic Patterns From Spatiotemporal Data With Time-Varying Low-Rank Autoregression.	IEEE Trans. Knowl. Data Eng.	2024	DBLP DOI BibTeX RDF
21	Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han 0002, Chang Xu 0002	Data-efficient Large Vision Models through Sequential Autoregression.	CoRR	2024	DBLP DOI BibTeX RDF
21	Piotr Skalski, David Sutton, Stuart Burrell, Iker Perez, Jason Wong	Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences.	CoRR	2024	DBLP DOI BibTeX RDF
21	Prasannavenkatesan Theerthagiri	CoFEE: Context-aware futuristic energy estimation model for sensor nodes using Markov model and autoregression.	Int. J. Commun. Syst.	2023	DBLP DOI BibTeX RDF
21	Ruiyao Zhang, Ping Zhou 0003, Junfei Qiao 0001	Anomaly Detection of Nonstationary Long-Memory Processes Based on Fractional Cointegration Vector Autoregression.	IEEE Trans. Reliab.	2023	DBLP DOI BibTeX RDF
21	Lin Cheng, Yue Jiang, Chunhui Ma, Jie Yang, Jiamin Chen, Shuai Yuan, Zengguang Xu	A Safety Monitoring Method for Anchor Cable Prestress During Slope Construction Based on Spatial Clustering and a Bayesian Panel Vector Autoregression Model.	IEEE Access	2023	DBLP DOI BibTeX RDF
21	Mery Diana, Ridhwan Amin, Motoki Amagasaki, Masato Kiyama	A Lightweight Deep Neural Network Using a Mixer-Type Nonlinear Vector Autoregression.	IEEE Access	2023	DBLP DOI BibTeX RDF
21	Yuejian Chen, Meng Rao, Ke Feng, Gang Niu 0004	Modified Varying Index Coefficient Autoregression Model for Representation of the Nonstationary Vibration From a Planetary Gearbox.	IEEE Trans. Instrum. Meas.	2023	DBLP DOI BibTeX RDF
21	Peng Liu, Lei Chen, Haopeng Zhang 0014, Yunxiang Zhang, Chao Liu, Cheng Li, Zhihui Wang	PEAR: Positional-encoded Asynchronous Autoregression for satellite anomaly detection.	Pattern Recognit. Lett.	2023	DBLP DOI BibTeX RDF
21	Shengchao Chen, Ting Shu, Huan Zhao, Guo Zhong, Xunlai Chen	TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Autoregression.	IEEE Trans. Geosci. Remote. Sens.	2023	DBLP DOI BibTeX RDF
21	Yuxin Wang, Zheng Xing, Wei W. Xing	GAR: Generalized Autoregression for Multi-Fidelity Fusion.	CoRR	2023	DBLP DOI BibTeX RDF
21	Gabriele Tolomei, Edoardo Gabrielli, Dimitri Belli, Vittorio Miori	A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates.	CoRR	2023	DBLP DOI BibTeX RDF
21	Adam Block, Dylan J. Foster, Akshay Krishnamurthy, Max Simchowitz, Cyril Zhang	Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression.	CoRR	2023	DBLP DOI BibTeX RDF
21	R. Thomas McCoy, Shunyu Yao, Dan Friedman, Matthew Hardy, Thomas L. Griffiths 0001	Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve.	CoRR	2023	DBLP DOI BibTeX RDF
21	Shuo Huang, Jia Jia 0001, Zongxin Yang, Wei Wang, Haozhe Wu, Yi Yang 0001, Junliang Xing	Shuffled Autoregression For Motion Interpolation.	CoRR	2023	DBLP DOI BibTeX RDF
21	Maddalena Cavicchioli	Statistical analysis of Markov switching vector autoregression models with endogenous explanatory variables.	J. Multivar. Anal.	2023	DBLP DOI BibTeX RDF
21	Yan Liu, Zuhua Xu, Jun Zhao 0008, Chunyue Song, Zhijiang Shao	Multi-scale adaptive multivariate state estimation fault detection enhancement for time-varying industrial system based on multi-output Gaussian process autoregression.	Comput. Ind. Eng.	2023	DBLP DOI BibTeX RDF
21	Heshan Wang, Yiping Zhang, Jing Liang, Lili Liu	DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction.	Neural Networks	2023	DBLP DOI BibTeX RDF
21	Wenxin Tian, Shaohui Li, Wenrui Dai, Cewu Lu, Weisheng Hu, Lin Zhang, Junfeng Du, Hongkai Xiong	Learned Progressive Image Compression With Spatial Autoregression.	VCIP	2023	DBLP DOI BibTeX RDF
21	Shuo Huang, Jia Jia 0001, Zongxin Yang, Wei Wang, Haozhe Wu, Yi Yang 0001, Junliang Xing	Shuffled Autoregression for Motion Interpolation.	ICASSP	2023	DBLP DOI BibTeX RDF
21	Yue Xiang, Dixin Luo, Hongteng Xu	Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression.	AAAI	2023	DBLP DOI BibTeX RDF
21	Wei Xing, Yuxin Wang, Zheng Xing	ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion.	NeurIPS	2023	DBLP BibTeX RDF
21	Piotr Skalski, David Sutton, Stuart Burrell, Iker Perez, Jason Wong	Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences.	ICAIF	2023	DBLP DOI BibTeX RDF
21	Darko B. Vukovic, Kirill Romanyuk, Sergey Ivashchenko, Elena M. Grigorieva	Are CDS spreads predictable during the Covid-19 pandemic? Forecasting based on SVM, GMDH, LSTM and Markov switching autoregression.	Expert Syst. Appl.	2022	DBLP DOI BibTeX RDF
21	Bohai Zhang, Furong Li, Huiyan Sang, Noel Cressie	Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data.	Remote. Sens.	2022	DBLP DOI BibTeX RDF
21	Raisa Dzhamtyrova, Carsten Maple	Dynamic cyber risk estimation with competitive quantile autoregression.	Data Min. Knowl. Discov.	2022	DBLP DOI BibTeX RDF
21	Fengyang He, Huixia Judy Wang, Yuejin Zhou	Extremal quantile autoregression for heavy-tailed time series.	Comput. Stat. Data Anal.	2022	DBLP DOI BibTeX RDF
21	Wei-Ting Lai, Ray-Bing Chen, Ying Chen, Thorsten Koch	Variational Bayesian inference for network autoregression models.	Comput. Stat. Data Anal.	2022	DBLP DOI BibTeX RDF
21	Ke Zhu, Hanzhong Liu	Confidence intervals for parameters in high-dimensional sparse vector autoregression.	Comput. Stat. Data Anal.	2022	DBLP DOI BibTeX RDF
21	Sanshuai Cui, Bingyuan Huang, Jiwu Huang, Xiangui Kang	Synthetic Speech Detection Based on Local Autoregression and Variance Statistics.	IEEE Signal Process. Lett.	2022	DBLP DOI BibTeX RDF
21	Jiayin Chen, Hendra I. Nurdin	Nonlinear Autoregression With Convergent Dynamics on Novel Computational Platforms.	IEEE Trans. Control. Syst. Technol.	2022	DBLP DOI BibTeX RDF
21	Stefanos I. Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Ioannis Kompatsiaris	Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products.	CoRR	2022	DBLP DOI BibTeX RDF
21	Xinyu Chen, Chengyuan Zhang 0002, Xiaoxu Chen, Nicolas Saunier, Lijun Sun	Discovering Dynamic Patterns from Spatiotemporal Data with Time-Varying Low-Rank Autoregression.	CoRR	2022	DBLP DOI BibTeX RDF
21	Tyler Hennen, A. Elias, Jean-Francois Nodin, Gabriel Molas, Rainer Waser, Dirk J. Wouters, Daniel Bedau	A High Throughput Generative Vector Autoregression Model for Stochastic Synapses.	CoRR	2022	DBLP DOI BibTeX RDF
21	Jackson Cates, Randy C. Hoover, Kyle A. Caudle, Cagri Ozdemir, Karen S. Braman, David Machette	Forecasting Multilinear Data via Transform-Based Tensor Autoregression.	CoRR	2022	DBLP DOI BibTeX RDF
21	Pavel Andreev, Nicholas Babaev, Azat Saginbaev, Ivan Shchekotov	Iterative autoregression: a novel trick to improve your low-latency speech enhancement model.	CoRR	2022	DBLP DOI BibTeX RDF
21	Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Ioannis Kompatsiaris	Multimodal Quasi-AutoRegression: forecasting the visual popularity of new fashion products.	Int. J. Multim. Inf. Retr.	2022	DBLP DOI BibTeX RDF
21	Xian Liu, Xiaoqin Li, Min Gao, Wenzhi Yang	Mildly Explosive Autoregression with Strong Mixing Errors.	Entropy	2022	DBLP DOI BibTeX RDF
21	Wuyi Ye, Mingge Li	Risk of declined company performance during COVID-19-Spatial quantile autoregression based on network analysis.	Comput. Ind. Eng.	2022	DBLP DOI BibTeX RDF
21	Yishan Ding, Dongwei He, Jun Wu, Xiang Xu	Crude Oil Spot Price Forecasting Using Ivanov-Based LASSO Vector Autoregression.	Complex.	2022	DBLP DOI BibTeX RDF
21	Guojing Zhou, Robert Moulder, Chen Sun 0011, Sidney D'Mello	Investigating Temporal Dynamics Underlying Successful Collaborative Problem Solving Behaviors with Multilevel Vector Autoregression.	EDM	2022	DBLP BibTeX RDF
21	Robert G. Moulder, Nicholas D. Duran, Sidney K. D'Mello	Assessing Multimodal Dynamics in Multi-Party Collaborative Interactions with Multi-Level Vector Autoregression.	ICMI	2022	DBLP DOI BibTeX RDF
21	Yuxin Wang, Zheng Xing, Wei W. Xing	GAR: Generalized Autoregression for Multi-Fidelity Fusion.	NeurIPS	2022	DBLP BibTeX RDF
21	Mirko Amillotta, Konstantinos Fokianos, Ioannis Krikidis	Generalized Linear Models Network Autoregression.	NetSci-X	2022	DBLP DOI BibTeX RDF
21	Heshan Wang, Yuxi Liu, Dongshu Wang, Yong Luo, Jianbin Xin	Multi-layer Echo State Network with Nonlinear Vector Autoregression Reservoir for Time Series Prediction.	NCAA (1)	2022	DBLP DOI BibTeX RDF
21	Nick Beauchamp	"This Candle Has No Smell": Detecting the Effect of COVID Anosmia on Amazon Reviews Using Bayesian Vector Autoregression.	ICWSM	2022	DBLP BibTeX RDF
21	Nooriyan Poonawala-Lohani, Patricia Riddle, Mehnaz Adnan, Jörg Wicker	Geographic ensembles of observations using randomised ensembles of autoregression chains: ensemble methods for spatio-temporal time series forecasting of influenza-like illness.	BCB	2022	DBLP DOI BibTeX RDF
21	Hui Wang, Shiwang Huang	Model of the influence of Internet finance on monetary policy based on gibbs sampling and vector autoregression.	J. Intell. Fuzzy Syst.	2021	DBLP DOI BibTeX RDF
21	Kameron Decker Harris, Aleksandr Y. Aravkin, Rajesh Rao, Bingni Wen Brunton	Time-Varying Autoregression with Low-Rank Tensors.	SIAM J. Appl. Dyn. Syst.	2021	DBLP DOI BibTeX RDF
21	Giovanni Maccarrone, Giacomo Morelli, Sara Spadaccini	GDP Forecasting: Machine Learning, Linear or Autoregression?	Frontiers Artif. Intell.	2021	DBLP DOI BibTeX RDF
21	Xudong Wang, Lijun Sun	Diagnosing Spatiotemporal Traffic Anomalies With Low-Rank Tensor Autoregression.	IEEE Trans. Intell. Transp. Syst.	2021	DBLP DOI BibTeX RDF
21	Rodrigo A. Lobos, Muhammad Usman Ghani 0002, W. Clem Karl, Richard M. Leahy, Justin P. Haldar	Autoregression and Structured Low-Rank Modeling of Sinogram Neighborhoods.	IEEE Trans. Computational Imaging	2021	DBLP DOI BibTeX RDF
21	Chi Wu, Xinping Yi, Yiming Zhu, Wenjin Wang 0001, Li You, Xiqi Gao 0001	Channel Prediction in High-Mobility Massive MIMO: From Spatio-Temporal Autoregression to Deep Learning.	IEEE J. Sel. Areas Commun.	2021	DBLP DOI BibTeX RDF
21	S. I. Smirnov, Mikhail A. Eremeev, I. A. Pribylov	Approach to Recognition of Malicious Behavior Based on Autoregression Model upon Investigation into Cyberincident.	Autom. Control. Comput. Sci.	2021	DBLP DOI BibTeX RDF
21	David Rügamer, Philipp F. M. Baumann, Thomas Kneib, Torsten Hothorn	Transforming Autoregression: Interpretable and Expressive Time Series Forecast.	CoRR	2021	DBLP BibTeX RDF
21	Jiayin Chen, Hendra I. Nurdin	Nonlinear Autoregression with Convergent Dynamics on Novel Computational Platforms.	CoRR	2021	DBLP BibTeX RDF
21	Raisa Dzhamtyrova, Carsten Maple	Dynamic cyber risk estimation with Competitive Quantile Autoregression.	CoRR	2021	DBLP BibTeX RDF
21	Rui Liu 0008, Berrak Sisman, Yixing Lin, Haizhou Li 0001	FastTalker: A neural text-to-speech architecture with shallow and group autoregression.	Neural Networks	2021	DBLP DOI BibTeX RDF
21	Bart Bussmann, Jannes Nys, Steven Latré	Neural Additive Vector Autoregression Models for Causal Discovery in Time Series.	DS	2021	DBLP DOI BibTeX RDF
21	Jaemin Yoo, U Kang	Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting.	SDM	2021	DBLP DOI BibTeX RDF
21	Ethan N. Lyon, Luis Hector Victor, Akane Sano	Health Label and Behavioral Feature Prediction Using Bayesian Hierarchical Vector Autoregression Models.	EMBC	2021	DBLP DOI BibTeX RDF
21	Yasaman Mirmohammad, Shayan Khorsandi, Mohammad Navid Shahsavari, Behnam Yazdankhoo, Soroush Sadeghnejad	Ball Path Prediction for Humanoid Robots: Combination of k-NN Regression and Autoregression Methods.	RoboCup	2021	DBLP DOI BibTeX RDF
21	Megan Chiovaro, Leah Cathryn Windsor, Alexandra Paxton	Vector Autoregression, Cross-Correlation, and Cross-Recurrence Quantification Analysis: A Case Study in Social Cohesion and Collective Action.	CogSci	2021	DBLP BibTeX RDF
21	Fatoumata Dama, Christine Sinoquet	Prediction and Inference in a Partially Hidden Markov-switching Framework with Autoregression. Application to Machinery Health Diagnosis.	ICTAI	2021	DBLP DOI BibTeX RDF
21	William B. Nicholson, Ines Wilms, Jacob Bien, David S. Matteson	High Dimensional Forecasting via Interpretable Vector Autoregression.	J. Mach. Learn. Res.	2020	DBLP BibTeX RDF
21	Nattapol Aunsri, Paponpat Taveeapiradeecharoen	A Time-Varying Bayesian Compressed Vector Autoregression for Macroeconomic Forecasting.	IEEE Access	2020	DBLP DOI BibTeX RDF
21	Fang Zhang 0003, Lin Cheng, Xiong Li, Yuanzhang Sun	A Prediction-Based Hierarchical Delay Compensation (PHDC) Technique Enhanced by Increment Autoregression Prediction for Wide-Area Control Systems.	IEEE Trans. Smart Grid	2020	DBLP DOI BibTeX RDF
21	Xiaohan Yan, Avleen S. Bijral	On a Bernoulli Autoregression Framework for Link Discovery and Prediction.	CoRR	2020	DBLP BibTeX RDF
21	Bart Bussmann, Jannes Nys, Steven Latré	Neural Additive Vector Autoregression Models for Causal Discovery in Time Series Data.	CoRR	2020	DBLP BibTeX RDF
21	Uttaran Bhattacharya, Nicholas Rewkowski, Pooja Guhan, Niall L. Williams, Trisha Mittal, Aniket Bera, Dinesh Manocha	Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression.	CoRR	2020	DBLP BibTeX RDF
21	Thais Tavares, Michele Nogueira, Denis Rosário, Aldri Santos, Eduardo Cerqueira	Traffic Model Based on Autoregression for PPG Signals in Wearable Networks.	IEEE Netw. Lett.	2020	DBLP DOI BibTeX RDF
21	Peiyang Li, Xiaoye Huang, Xuyang Zhu, Cunbo Li, Huan Liu, Weiwei Zhou, Joyce Chelangat Bore, Tao Zhang 0017, Yangsong Zhang, Dezhong Yao 0001, Peng Xu 0001	Robust brain causality network construction based on Bayesian multivariate autoregression.	Biomed. Signal Process. Control.	2020	DBLP DOI BibTeX RDF
21	Shijuan Yang, Jianjun Wang 0005, Yizhong Ma, Yiliu Tu	Multi-response online parameter design based on Bayesian vector autoregression model.	Comput. Ind. Eng.	2020	DBLP DOI BibTeX RDF
21	Rodrigo A. Lobos, Richard M. Leahy, Justin P. Haldar	Autoregression and Structured Low-Rank Modeling of Sinograms.	ISBI	2020	DBLP DOI BibTeX RDF
21	Karim Hafiz, Mohammad Tawfik, Hesham Hamed Ibrahim	Experimental Identification of Road-Vehicle Dynamics Using Autoregression.	NILES	2020	DBLP DOI BibTeX RDF
21	Uttaran Bhattacharya, Nicholas Rewkowski, Pooja Guhan, Niall L. Williams, Trisha Mittal, Aniket Bera, Dinesh Manocha	Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression.	ISMAR	2020	DBLP DOI BibTeX RDF
21	Amine Haboub, Hamza Baali, Abdesselam Bouzerdoum	Multichannel Signal Classification Using Vector Autoregression.	ICASSP	2020	DBLP DOI BibTeX RDF
21	Olena Liashenko, Tetyana Kravets, Olha Bobro	Fractionally Cointegrated Vector Autoregression Model of Spread Estimation for Metals.	ACIT	2020	DBLP DOI BibTeX RDF
21	Paponpat Taveeapiradeecharoen, Kosin Chamnongthai, Nattapol Aunsri	Bayesian Compressed Vector Autoregression for Financial Time-Series Analysis and Forecasting.	IEEE Access	2019	DBLP DOI BibTeX RDF
21	Radmila Jankovic, Ivan Mihajlovic, Alessia Amelio	Time Series Vector Autoregression Prediction of the Ecological Footprint based on Energy Parameters.	CoRR	2019	DBLP BibTeX RDF
21	Kameron Decker Harris, Aleksandr Y. Aravkin, Rajesh Rao, Bingni Wen Brunton	Time-varying Autoregression with Low Rank Tensors.	CoRR	2019	DBLP BibTeX RDF
21	V. B. Goryainov, Elena R. Goryainova	Comparative Analysis of Robust and Classical Methods for Estimating the Parameters of a Threshold Autoregression Equation.	Autom. Remote. Control.	2019	DBLP DOI BibTeX RDF
21	Yan Zeng, Jiantao Yang, Cheng Peng, Yuehong Yin	Evolving Gaussian Process Autoregression Based Learning of Human Motion Intent Using Improved Energy Kernel Method of EMG.	IEEE Trans. Biomed. Eng.	2019	DBLP DOI BibTeX RDF
21	Claudio Hartmann, Franziska Ressel, Martin Hahmann, Dirk Habich, Wolfgang Lehner	CSAR: the cross-sectional autoregression model for short and long-range forecasting.	Int. J. Data Sci. Anal.	2019	DBLP DOI BibTeX RDF
21	Pranita Dewan, Raghu K. Ganti, Mudhakar Srivatsa, Sebastian Stein 0001	NN-SAR: A Neural Network Approach for Spatial AutoRegression.	PerCom Workshops	2019	DBLP DOI BibTeX RDF
21	Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara	Latent Space Autoregression for Novelty Detection.	CVPR	2019	DBLP BibTeX RDF
21	Nikita A. Andriyanov, Konstantin Vasiliev	Using Local Objects to Improve Estimation of Mobile Object Coordinates and Smoothing Trajectory of Movement by Autoregression with Multiple Roots.	IntelliSys (2)	2019	DBLP DOI BibTeX RDF
21	Sahibzada Muhammad Shuja, Nadeem Javaid, Sajjad Khan, Umair Sarfraz, Syed Hamza Ali, Muhammad Taha, Tahir Mehmood	Electricity Price Prediction by Enhanced Combination of Autoregression Moving Average and Kernal Extreme Learing Machine.	AINA Workshops	2019	DBLP DOI BibTeX RDF