Mikael Wallman

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All published works

Action	Title	Year	Authors
+ PDF Chat	ECG-based estimation of respiration-induced autonomic modulation of AV nodal conduction during atrial fibrillation	2024	Felix Plappert Gunnar Engström Pyotr G. Platonov Mikael Wallman Frida Sandberg
+ PDF Chat	Model-based estimation of AV-nodal refractory period and conduction delay trends from ECG	2024	Mattias Karlsson Pyotr G. Platonov Sara R. Ulimoen Frida Sandberg Mikael Wallman
+	ECG-based estimation of respiratory modulation of AV nodal conduction during atrial fibrillation	2023	Felix Plappert Gunnar Engström Pyotr G. Platonov Mikael Wallman Frida Sandberg
+	Model-based Estimation of AV-nodal Refractory Period and Conduction Delay Trends from ECG	2023	Mattias Karlsson Pyotr G. Platonov Sara R. Ulimoen Frida Sandberg Mikael Wallman
+	Identification of metabotypes in complex biological data using tensor decomposition	2022	Viktor Skantze Mikael Wallman Ann‐Sofie Sandberg Rikard Landberg Mats Jirstrand Carl Brunius
+ PDF Chat	Cross-validation and bootstrapping are unreliable in small sample classification	2008	Anders Isaksson Mikael Wallman H. Göransson Mats G. Gustafsson

Common Coauthors

Coauthor	Papers Together
Pyotr G. Platonov	4
Frida Sandberg	4
Sara R. Ulimoen	2
Gunnar Engström	2
Mattias Karlsson	2
Felix Plappert	2
Mats G. Gustafsson	1
Viktor Skantze	1
H. Göransson	1
Anders Isaksson	1
Ann‐Sofie Sandberg	1
Mats Jirstrand	1
Rikard Landberg	1
Carl Brunius	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Nonlinear modeling of the atrioventricular node physiology in atrial fibrillation	2004	Armin Rashidi Iman Khodarahmi	2
+	Probability theory : the logic of science	2003	E. T. Jaynes	1
+	A tutorial on approximate Bayesian computation	2012	Brandon M. Turner Trisha Van Zandt	1
+	An Introduction to the Bootstrap	1994	Bradley Efron Robert Tibshirani	1
+	Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition	1970	J. Douglas Carroll Jih-Jie Chang	1
+	Recent advances in error rate estimation	1986	David J. Hand	1
+	Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation	1983	Bradley Efron	1
+	Two-factor degeneracies and a stabilization of PARAFAC	1997	William S. Rayens Benjamin C. Mitchell	1
+ PDF Chat	Adaptive approximate Bayesian computation	2009	Mark Beaumont J. M. Cornuet Jean‐Michel Marin Christian P. Robert	1
+	Estimation of Error Rates in Discriminant Analysis	1968	Peter A. Lachenbruch M. R. Mickey	1
+	Centering and scaling in component analysis	2003	Rasmus Bro Age K. Smilde	1
+	Confidence Intervals for the True Classification Error Conditioned on the Estimated Error	2006	Qian Xu Jianping Hua Ulisses Braga-Neto Zixiang Xiong Edward Suh Edward R. Dougherty	1
+ PDF Chat	Interval Estimation for a Binomial Proportion	2001	Lawrence D. Brown Tommaso Cai Anirban Dasgupta	1
+	Cross-Validatory Choice and Assessment of Statistical Predictions	1974	M. Stone	1
+ PDF Chat	Bootstrap Methods: Another Look at the Jackknife	1979	B. Efron	1
+	Nearest neighbor pattern classification	1967	Thomas M. Cover Peter E. Hart	1
+	Degeneracy in Candecomp/Parafac explained for p × p × 2 arrays of rank p + 1 or higher	2006	Alwin Stegeman	1
+ PDF Chat	Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem	2008	Vin de Silva Lek‐Heng Lim	1
+	Foundations of Probability Theory	2009	Jan Pukite Paul Pukite	1
+	Confidence Intervals vs Bayesian Intervals	1976	E. T. Jaynes Oscar Kempthorne	1
+ PDF Chat	Adjust for Multiple Comparisons? It’s Not That Simple	2016	Andrew D. Althouse	1
+	Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science	1976	William Harper C. A. Hooker	1
+ PDF Chat	Time series classification from scratch with deep neural networks: A strong baseline	2017	Zhiguang Wang Weizhong Yan Tim Oates	1
+	Construction and Assessment of Classification Rules	1999	Mark R. Wade David J. Hand	1
+	Deep learning for time series classification: a review	2019	Hassan Ismail Fawaz Germain Forestier Jonathan Weber Lhassane Idoumghar Pierre-Alain Müller	1
+	Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis	2018	Alex H. Williams Tony Hyun Kim Forea Wang Saurabh Vyas Stephen I. Ryu Krishna V. Shenoy Mark J. Schnitzer Tamara G. Kolda Surya Ganguli	1
+ PDF Chat	Cyclical Learning Rates for Training Neural Networks	2017	Leslie N. Smith	1
+	InceptionTime: Finding AlexNet for time series classification	2020	Hassan Ismail Fawaz Benjamín Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt Jonathan Weber Geoffrey I. Webb Lhassane Idoumghar Pierre-Alain Muller François Petitjean	1
+	Inference of ventricular activation properties from non-invasive electrocardiography	2021	Julià Camps Brodie Lawson Christopher Drovandi Ana Mincholé Zhinuo Jenny Wang Vicente Grau Kevin Burrage Blanca Rodríguez	1
+	Estimation of Error Rates in Discriminant Analysis	1968	Peter A. Lachenbruch M. R. Mickey	1
+ PDF Chat	Robust Estimation of a Location Parameter	1992	Peter J. Huber	1
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	1
+ PDF Chat	A step towards understanding why classification helps regression	2023	Silvia L. Pintea Yancong Lin Jouke Dijkstra Jan van Gemert	1