Rajesh Wadhvani

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All published works

Action	Title	Year	Authors
+	Quantile Regression in Machine Learning: A Survey	2023	Anshul Kumar Rajesh Wadhvani Akhtar Rasool Muktesh Gupta
+	Quantile Regression Comprehensive in Machine Learning: A Review	2023	Vivek Kumar Patidar Rajesh Wadhvani Sanyam Shukla Muktesh Gupta Manasi Gyanchandani
+	Data Mining Based Techniques for Covid-19 Predictions	2023	Rahul V. Rane Aditya Dubey Akhtar Rasool Rajesh Wadhvani
+	Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data	2022	Muktesh Gupta Rajesh Wadhvani Akhtar Rasool

Common Coauthors

Coauthor	Papers Together
Muktesh Gupta	3
Akhtar Rasool	2
Rahul V. Rane	1
Sanyam Shukla	1
Manasi Gyanchandani	1
Anshul Kumar	1
Akhtar Rasool	1
Aditya Dubey	1
Vivek Kumar Patidar	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Quantile Regression: Overview and Selected Applications ∗	2004	Sebastian Buhai	1
+	Bayesian Online Changepoint Detection	2007	Ryan P. Adams David Mackay	1
+ PDF Chat	Change-point detection in time-series data by relative density-ratio estimation	2013	Song Liu Makoto Yamada Nigel Collier Masashi Sugiyama	1
+	Hidden Markov Model Applications in Change-Point Analysis	2012	The Minh Luong Vittorio Perduca Grégory Nuel	1
+	Heteroscedasticity Detection and Estimation with Quantile Difference Method	2015	Wentao Xia Wei Xiong Maozai Tian	1
+	Regression and time series model selection in small samples	1989	Clifford M. Hurvich Chih‐Ling Tsai	1
+	Conditional bootstrap methods in the mean-shift model	1987	D. V. Hinkley Edna Schechtman	1
+	Quantile Regression via an MM Algorithm	2000	David R. Hunter Kenneth Lange	1
+	Bayesian approach to change points detection in time series	2006	Ali Mohammad‐Djafari Olivier Féron	1
+	Mixed-Effects Models for Conditional Quantiles with Longitudinal Data	2009	Yuan Liu Matteo Bottai	1
+	Quantile regression for duration data: A reappraisal of the Pennsylvania Reemployment Bonus Experiments	2002	Roger Koenker Yannis Bilias	1
+	Conditional quantile regression models of melanoma tumor growth curves for assessing treatment effect in small sample studies	2014	Ella Revzin Dibyen Majumdar Gilbert W. Bassett	1
+ PDF Chat	Quantile regression with a change‐point model for longitudinal data: An application to the study of cognitive changes in preclinical alzheimer's disease	2015	Chenxi Li N. Maritza Dowling Rick Chappell	1
+	MULTIVARIATE SINGULAR SPECTRUM ANALYSIS: A GENERAL VIEW AND NEW VECTOR FORECASTING APPROACH	2013	Hossein Hassani Rahim Mahmoudvand	1
+	The use of quantile regression in health care research: a case study examining gender differences in the timeliness of thrombolytic therapy	2004	Peter C. Austin Jack V. Tu Paul Daly David A. Alter	1
+	Goodness of Fit and Related Inference Processes for Quantile Regression	1999	Roger Koenker José A. F. Machado	1
+ PDF Chat	Longitudinal quantile regression in the presence of informative dropout through longitudinal–survival joint modeling	2014	Alessio Farcomeni Sara Viviani	1
+	Median regression for longitudinal data	2003	Xuming He Bo Fu Wing K. Fung	1
+	Quantile regression: applications and current research areas	2003	Keming Yu Zudi Lu Julian Stander	1
+	The effect of school quality on student performance: A quantile regression approach	1998	Eric R. Eide Mark H. Showalter	1
+ PDF Chat	Evaluating Value-at-Risk Models via Quantile Regression	2010	Wagner Piazza Gaglianone Luiz Renato Lima Oliver Linton Daniel R. Smith	1
+	Bayesian quantile regression-based nonlinear mixed-effects joint models for time-to-event and longitudinal data with multiple features	2016	Yangxin Huang Jiaqing Chen	1
+ PDF Chat	Changepoint Detection in the Presence of Outliers	2017	Paul Fearnhead Guillem Rigaill	1
+ PDF Chat	<b>bayesQR</b>: A Bayesian Approach to Quantile Regression	2017	Dries F. Benoit Dirk Van den Poel	1
+	Discriminant analysis by quantile regression with application on the climate change problem	2017	Cathy W. S. Chen Yi-Tung Hsu Masanobu Taniguchi	1
+ PDF Chat	Quantile regression: A short story on how and why	2018	Elisabeth Waldmann	1
+	Singular Spectrum Analysis with R	2018	Nina Golyandina Anton Korobeynikov Anatoly Zhigljavsky	1
+ PDF Chat	Quantile regression for the qualifying match of GEFCom2017 probabilistic load forecasting	2018	Florian Ziel	1
+	Deep Learning for Anomaly Detection: A Survey	2019	Raghavendra Chalapathy Sanjay Chawla	1
+	Deep density ratio estimation for change point detection	2019	Haidar Khan Lara Marcuse Bülent Yener	1
+	Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series	2019	Zahra Ebrahimzadeh Min Zheng Selcuk Karakas Samantha Kleinberg	1
+ PDF Chat	A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection	2019	Baihong Jin Yuxin Chen Dan Li Kameshwar Poolla Alberto Sangiovanni‐Vincentelli	1
+ PDF Chat	Deep Adaptive Input Normalization for Time Series Forecasting	2019	Nikolaos Passalis Anastasios Tefas Juho Kanniainen Moncef Gabbouj Alexandros Iosifidis	1
+	Time series forecasting of COVID-19 transmission in Canada using LSTM networks	2020	Vinay Kumar Reddy Chimmula Lei Zhang	1
+ PDF Chat	A machine learning forecasting model for COVID-19 pandemic in India	2020	R. Sujath Jyotir Moy Chatterjee Aboul Ella Hassanien	1
+	Comparative analysis and forecasting of COVID-19 cases in various European countries with ARIMA, NARNN and LSTM approaches	2020	İsmail Kırbaş Adnan Sözen Azim Doğuş Tuncer Fikret Şinasi Kazancıoğlu	1
+	Forecasting COVID-19 epidemic in India and high incidence states using SIR and logistic growth models	2020	B. Malavika S. Marimuthu Melvin Joy Ambily Nadaraj Edwin Sam Asirvatham Lakshmanan Jeyaseelan	1
+	Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries	2020	Sarbjit Singh Kulwinder Singh Parmar Sidhu Jitendra Singh Makkhan Jatinder Kaur Shruti Peshoria Jatinder Kumar	1
+	Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study	2020	Abdelhafid Zeroual Fouzi Harrou Abdelkader Dairi Ying Sun	1
+	ARIMA modelling & forecasting of COVID-19 in top five affected countries	2020	Alok Kumar Sahai Namita Rath V Sood Manvendra Pratap Singh	1
+	Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm	2020	Cafer Mert Yeşilkanat	1
+ PDF Chat	Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation	2021	Tim De Ryck Maarten De Vos Alexander Bertrand	1
+	A non-central beta model to forecast and evaluate pandemics time series	2020	Paulo Renato Alves Firmino Jair Paulino de Sales Jucier Gonçalves Júnior Taciana Araújo da Silva	1
+	Adaptive Bayesian Changepoint Analysis and Local Outlier Scoring	2020	Haoxuan Wu David S. Matteson	1
+	Quantile regression for mixed models with an application to examine blood pressure trends in China	2015	Luke B. Smith Montserrat Fuentes Penny Gordon‐Larsen Brian J. Reich	1
+ PDF Chat	RETRACTED ARTICLE: A new prediction approach of the COVID-19 virus pandemic behavior with a hybrid ensemble modular nonlinear autoregressive neural network	2020	Patricia Melín Julio Cesar Monica Daniela Sánchez Oscar Castillo	1
+ PDF Chat	A review on COVID-19 forecasting models	2021	Iman Rahimi Chen Fang Amir H. Gandomi	1
+	Backward CUSUM for Testing and Monitoring Structural Change	2020	Sven Otto Jörg Breitung	1
+	Modeling and forecasting number of confirmed and death caused COVID-19 in IRAN: A comparison of time series forecasting methods	2021	Nasrin Talkhi Narges Akhavan Fatemi Zahra Ataei Mehdi Jabbari Nooghabi	1
+	Forecasting COVID-19 cases: A comparative analysis between recurrent and convolutional neural networks	2021	Khondoker Nazmoon Nabi Md Toki Tahmid Md. Abdur Rafi Muhammad Ehsanul Kader Md. Asif Haider	1