Heikki Haario

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 16

Top Topics

Stochastic Models

Convolutional Neural Networks

Partially Overlapping

Gaussian Filtering

Top Venues

Comput. Stat. Data Anal.

SIAM J. Sci. Comput.

Publications

Jose Rodrigo Rojo-Garcia, Heikki Haario, Tapio Helin, Tuomo Sainio
Surrogate model for Bayesian optimal experimental design in chromatography. CoRR (2024)
Ramona Maraia, Sebastian Springer, Teemu Härkönen, Martin Simon, Heikki Haario
Bayesian synthetic likelihood for stochastic models with applications in mathematical finance. Frontiers Appl. Math. Stat. 9 (2023)
Zina-Sabrina Duma, Jouni Susiluoto, Otto Lamminpää, Tuomas Sihvonen, Satu-Pia Reinikainen, Heikki Haario
KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows. CoRR (2023)
Alexey Kazarnikov, Robert Scheichl, Heikki Haario, Anna K. Marciniak-Czochra
A Bayesian Approach to Modeling Biological Pattern Formation with Limited Data. SIAM J. Sci. Comput. 45 (5) (2023)
Sebastian Springer, Aldo Glielmo, Angelina Senchukova, Tomi Kauppi, Jarkko Suuronen, Lassi Roininen, Heikki Haario, Andreas Hauptmann
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs. CoRR (2022)
Sahar Zafari, Mariia Murashkina, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario
Resolving overlapping convex objects in silhouette images by concavity analysis and Gaussian process. J. Vis. Commun. Image Represent. 73 (2020)
Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Tapio Helin, Heikki Haario, Tomi Kauppi, Jere Heikkinen
Modelling internal knot distribution using external log features. Comput. Electron. Agric. 179 (2020)
Sahar Zafari, Mariia Murashkina, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario
Resolving Overlapping Convex Objects in Silhouette Images by Concavity Analysis and Gaussian Process. CoRR (2019)
Dmitrii Shustrov, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario
Fine-Grained Wood Species Identification Using Convolutional Neural Networks. SCIA (2019)
Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario, Jere Heikkinen, Tomi Kauppi
Timber Tracing with Multimodal Encoder-Decoder Networks. CAIP (2) (2019)
Nikolay Rudakov, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario
Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks. GCPR (2018)
Janne M. J. Huttunen, Jari P. Kaipio, Heikki Haario
Approximation error approach in spatiotemporally chaotic models with application to Kuramoto-Sivashinsky equation. Comput. Stat. Data Anal. 123 (2018)
Anna Shcherbacheva, Heikki Haario
The Impact of Household Size on Malaria Reduction in Relation with Alterations in Mosquito Behavior by Malaria Parasite. J. Multiple Valued Log. Soft Comput. 29 (5) (2017)
Denis Ndanguza, Isambi S. Mbalawata, Heikki Haario, Jean M. Tchuenche
Analysis of bias in an Ebola epidemic model by extended Kalman filter approach. Math. Comput. Simul. 142 (2017)
Sahar Zafari, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario
Comparison of Concave Point Detection Methods for Overlapping Convex Objects Segmentation. SCIA (2) (2017)
Sahar Zafari, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario
Segmentation of Partially Overlapping Convex Objects Using Branch and Bound Algorithm. ACCV Workshops (3) (2016)
Sahar Zafari, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario
Segmentation of Overlapping Elliptical Objects in Silhouette Images. IEEE Trans. Image Process. 24 (12) (2015)
Sahar Zafari, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario
Segmentation of Partially Overlapping Nanoparticles Using Concave Points. ISVC (1) (2015)
Simo Särkkä, Jouni Hartikainen, Isambi Sailon Mbalawata, Heikki Haario
Posterior inference on parameters of stochastic differential equations via non-linear Gaussian filtering and adaptive MCMC. Stat. Comput. 25 (2) (2015)
Johnathan M. Bardsley, Aku Seppänen, Antti Solonen, Heikki Haario, Jari P. Kaipio
Randomize-Then-Optimize for Sampling and Uncertainty Quantification in Electrical Impedance Tomography. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)
Isambi S. Mbalawata, Simo Särkkä, Matti Vihola, Heikki Haario
Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter. Comput. Stat. Data Anal. 83 (2015)
Heikki Haario
Introduction to "Quantitative bounds of convergence for geometrically ergodic Markov Chain in the Wasserstein distance with application to the Metropolis adjusted Langevin algorithm" by A. Durmus, É. Moulines. Stat. Comput. 25 (1) (2015)
Johnathan M. Bardsley, Antti Solonen, Heikki Haario, Marko Laine
Randomize-Then-Optimize: A Method for Sampling from Posterior Distributions in Nonlinear Inverse Problems. SIAM J. Sci. Comput. 36 (4) (2014)
Betty K. Nannyonga, Gasper Godson Mwanga, Heikki Haario, Isambi S. Mbalawata, M. Heilio
Determining parameter distribution in within-host severe P. falciparum malaria. Biosyst. 126 (2014)
Isambi S. Mbalawata, Simo Särkkä, Heikki Haario
Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering. Comput. Stat. 28 (3) (2013)
Arto Voutilainen, Timo Pyhälahti, Kari Y. Kallio, Jouni Pulliainen, Heikki Haario, Jari P. Kaipio
A filtering approach for estimating lake water quality from remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 9 (1) (2007)
Olli Malve, Marko Laine, Heikki Haario, Teija Kirkkala, Jouko Sarvala
Bayesian modelling of algal mass occurrences - using adaptive MCMC methods with a lake water quality model. Environ. Model. Softw. 22 (7) (2007)
Heikki Haario, Marko Laine, Antonietta Mira, Eero Saksman
DRAM: Efficient adaptive MCMC. Stat. Comput. 16 (4) (2006)
Heikki Haario, Eero Saksman, Johanna Tamminen
Componentwise adaptation for high dimensional MCMC. Comput. Stat. 20 (2) (2005)
Heikki Haario, Eero Saksman, Johanna Tamminen
Adaptive proposal distribution for random walk Metropolis algorithm. Comput. Stat. 14 (3) (1999)