Research output

Research output per year 2000 2015 2016 2017 2018 2019 2020 2021 2022 2023

• 98 Conference contribution
• 86 Article
• 3 Book
• 2 Software
• 7 More
  • 2 Working paper
  • 1 Entry for encyclopedia / dictionary
  • 1 Poster
  • 1 Editorial
  • 1 Special issue
  • 1 Review Article

Research output per year

Research output per year

Search results

• 2023

  Online pole segmentation on range images for long-term LiDAR localization in urban environments

  Dong, H., Chen, X., Särkkä, S. & Stachniss, C., Jan 2023, In: Robotics and Autonomous Systems. 159, 9 p., 104283.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Lidar 100%
  • Range Image 97%
  • Segmentation 67%
  • Pole 49%
  • Poles 47%
• 2022

  Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space

  Tronarp, F. & Särkkä, S., 2022, 2022 25th International Conference on Information Fusion (FUSION). IEEE, 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  • Filtering 100%
  • Smoothing 91%
  • Submanifolds 90%
  • Euclidean space 81%
  • Lebesgue Measure 66%

• De-Sequentialized Monte Carlo: a parallel-in-time particle smoother

  Corenflos, A., Särkkä, S. & Chopin, N., 1 Aug 2022, In: Journal of Machine Learning Research. 23, 39 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Distribution of goods 100%
  • Parallel architectures 75%
  • State-space Model 52%
  • Polynomials 50%
  • Sampling 46%
  4 Downloads (Pure)

• Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors

  Emzir, M. F., Loppi, N. A., Zhao, Z., Hassan, S. S. & Sarkka, S., 2022, 2022 25th International Conference on Information Fusion, FUSION 2022. IEEE, 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  • Gaussian Process 100%
  • Bayesian Inference 77%
  • Inverse problems 76%
  • Approximation 58%
  • Inverse Problem 54%

• Guest Editorial: MLSP 2020 Special Issue

  Särkkä, S., Roininen, L., Kok, M., Hostettler, R. & Hauptmann, A., Feb 2022, In: Journal of Signal Processing Systems. 94, 2, p. 131-132 2 p.

  Research output: Contribution to journal › Editorial › Scientific

• MLSP 2020 Special Issue

  Särkkä, S., Roininen, L., Kok, M., Hostettler, R. & Hauptmann, A., 2022, In: Journal of Signal Processing Systems. 94, 2

  Research output: Contribution to journal › Special issue › Scientific › peer-review

• Multidimensional projection filters via automatic differentiation and sparse-grid integration

  Emzir, M. F., Zhao, Z. & Särkkä, S., Mar 2023, In: Signal Processing. 204, 15 p., 108832.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Partial differential equations 100%
  • Current density 97%
  • Differential equations 89%
  • Statistics 75%

• Multispectral photon-counting for medical imaging and beam characterization — A project review

  Kirschenmann, S., Bezak, M., Bharthuar, S., Brücken, E., Emzir, M., Golovleva, M., Gädda, A., Kalliokoski, M., Karadzhinova-Ferrer, A., Karjalainen, A., Koponen, P., Kramarenko, N., Luukka, P., Ott, J., Petrow, H., Siiskonen, T., Särkkä, S., Tikkanen, J., Turpeinen, R. & Winkler, A., 11 Sep 2022, In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 1039, 167043.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Cadmium telluride 100%
  • cadmium tellurides 76%
  • Photons 71%
  • Medical imaging 69%
  • counting 52%
  15 Downloads (Pure)

• Non-linear Gaussian smoothing with Taylor moment expansion

  Zhao, Z. & Särkkä, S., 2022, In: IEEE Signal Processing Letters. 29, p. 80-84 5 p., 9606583.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Smoothing 100%
  • Moment 75%
  • Smoothing Methods 46%
  • Transition Density 45%
  • Baseline 39%
  22 Downloads (Pure)

• Posterior linearisation filter for non-linear state transformation noises

  Raitoharju, M., Hostettler, R. & Sarkka, S., 2022, 2022 25th International Conference on Information Fusion, FUSION 2022. IEEE, p. 1-6 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

  • Linearization 100%
  • Filter 71%
  • Smoothing 18%
  • Discrete-time 17%
  • Lag 15%
  3 Downloads (Pure)

• Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review

  Thombre, S., Zhao, Z., Ramm-Schmidt, H., Vallet Garcia, J. M., Malkamäki, T., Nikolskiy, S., Hammarberg, T., Nuortie, H., Bhuiyan, M. Z. H., Särkkä, S. & Lehtola, V. V., 1 Jan 2022, In: IEEE Transactions on Intelligent Transportation Systems. 23, 1, p. 64-83 20 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Artificial intelligence 100%
  • Ships 93%
  • Sensors 58%
  • Navigation 17%
  • Automatic identification 13%
  21 Citations (Scopus)

  123 Downloads (Pure)

• System identification using autoregressive Bayesian neural networks with nonparametric noise models

  Merkatas, C. & Särkkä, S., 17 Oct 2022, (E-pub ahead of print) In: Journal of Time Series Analysis. 12 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • System Identification 100%
  • Bayesian Networks 89%
  • Neural Networks 85%
  • Identification (control systems) 62%
  • Bayesian Nonparametrics 59%
  7 Downloads (Pure)

• Temporal Gaussian Process Regression in Logarithmic Time

  Corenflos, A., Zhao, Z. & Sarkka, S., 2022, 2022 25th International Conference on Information Fusion, FUSION 2022. IEEE, p. 1-5 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  • Gaussian Process 100%
  • Graphics processing unit 65%
  • Computational complexity 57%
  • Computer hardware 41%
  • Kalman Filtering 26%

• Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control

  Särkkä, S. & Garcia-Fernandez, A. F., Jan 2022, (E-pub ahead of print) In: IEEE Transactions on Automatic Control. 16 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Dynamic programming 100%
  • Graphics processing unit 23%
  • Computer simulation 14%

• Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification

  Jaskari, J., Sahlsten, J., Damoulas, T., Knoblauch, J., Sarkka, S., Karkkainen, L., Hietala, K. & Kaski, K. K., 2022, In: IEEE Access. 10, p. 76669-76681 13 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Classifier 100%
  • Retinal 84%
  • Deep learning 65%
  • Uncertainty 45%
  • Neural networks 25%
  11 Downloads (Pure)
• 2021

  Autonomous Tracking and State Estimation With Generalized Group Lasso

  Gao, R., Särkkä, S., Claveria-Vega, R. & Godsill, S., 24 Jun 2021, (E-pub ahead of print) In: IEEE Transactions on Cybernetics. 15 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • State estimation 100%
  • Autonomous vehicles 71%
  • Dimensionality reduction 36%
  • Restoration 32%
  • Experiments 11%
  4 Downloads (Pure)

• Bayesian ODE solvers: the maximum a posteriori estimate

  Tronarp, F., Särkkä, S. & Hennig, P., 3 Mar 2021, In: STATISTICS AND COMPUTING. 31, 3, 18 p., 23.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • A Posteriori Estimates 100%
  • Maximum a Posteriori 98%
  • Scattered Data Approximation 43%
  • Differentiable 42%
  • Hilbert Space 40%
  4 Citations (Scopus)

  100 Downloads (Pure)

• Deep state-space Gaussian processes

  Zhao, Z., Emzir, M. & Särkkä, S., Nov 2021, In: STATISTICS AND COMPUTING. 31, 6, 26 p., 75.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Gaussian Process 100%
  • State Space 77%
  • Stochastic Differential Equations 18%
  • Regression 16%
  • Gravitational Waves 10%
  4 Citations (Scopus)

  40 Downloads (Pure)

• Early oxygen levels contribute to brain injury in extremely preterm infants

  Rantakari, K., Rinta-Koski, O. P., Metsäranta, M., Hollmén, J., Särkkä, S., Rahkonen, P., Lano, A., Lauronen, L., Nevalainen, P., Leskinen, M. J. & Andersson, S., Jul 2021, In: Pediatric Research. 90, 1, p. 131-139 9 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Extremely Premature Infants 100%
  • Brain Injuries 67%
  • Oxygen 49%
  • Newborn Infant 30%
  • Gestational Age 25%
  9 Citations (Scopus)

  27 Downloads (Pure)

• Gaussian Approximations of SDES in Metropolis-Adjusted Langevin Algorithms

  Särkkä, S., Merkatas, C. & Karvonen, T., 15 Nov 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021. IEEE, p. 1-6 6 p. 9596301

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

  • Monte Carlo methods 100%
  • Markov chains 90%
  • Differential equations 82%
  • Set theory 29%
  76 Downloads (Pure)

• Kalman filtering with empirical noise models

  Raitoharju, M., Nurminen, H., Cilden-Guler, D. & Särkkä, S., Jun 2021, Proceedings of International Conference on Localization and GNSS, ICL-GNSS 2021. Nurmi, J., Lohan, E-S., Torres-Sospedra, J., Kuusniemi, H. & Ometov, A. (eds.). IEEE, 7 p. 9452318

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  • Kalman Filtering 100%
  • Filter 36%
  • Model 23%
  • Measurement Error 22%
  • Measurement errors 21%
  2 Citations (Scopus)

• Metal artifact reduction in cone-beam extremity images using gated convolutions

  Agrawal, H., Hietanen, A. & Särkkä, S., 25 May 2021, Proceedings of the IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE, p. 1087-1090 4 p. 9434163. (International Symposium on Biomedical Imaging).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

  • Convolution 100%
  • Artifacts 98%
  • Cones 95%
  • Metals 88%
  • Extremities 75%
  1 Citation (Scopus)

  82 Downloads (Pure)

• Multiobjective model-based optimization of diesel injection rate profile by machine learning methods

  Immonen, E., Lauren, M., Roininen, L. & Särkkä, S., 9 Feb 2021, Proceedings of 14th Annual IEEE International Systems Conference, SYSCON 2020. IEEE, 6 p. 09349028

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  • Injection 100%
  • Machine Learning 98%
  • Model-based 80%
  • Internal Combustion Engine 77%
  • Profile 76%
  1 Citation (Scopus)

• Nationwide infection control strategy lowered seasonal respiratory infection rate: occupational health care perspective during the COVID-19 epidemic in Finland

  Arvonen, M., Raittinen, P., Niemenoja, O., Ilmonen, P., Riihijärvi, S., Särkkä, S. & Viitasaari, L., 2021, In: Infectious Diseases. 53, 11, p. 839-846 8 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Finland 98%
  • Respiratory Rate 96%
  • Infection Control 91%
  • Respiratory Tract Infections 84%
  • Epidemics 78%
  7 Citations (Scopus)

  45 Downloads (Pure)

• Parallel iterated extended and sigma-point Kalman smoothers

  Yaghoobi, F., Corenflos, A., Hassan, S. & Särkkä, S., 2021, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021. IEEE, p. 5350-5354 5 p. 9413364. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  • Taylor series 100%
  • Additive noise 95%
  • Graphics processing unit 76%
  3 Citations (Scopus)

• Real-Time Tracking of Multiple Acoustical Sources Utilising Rao-Blackwellised Particle Filtering

  McCormack, L., Politis, A., Särkkä, S. & Pulkki, V., Dec 2021, 29th European Signal Processing Conference, EUSIPCO 2021. IEEE, p. 206-210 5 p. (European Signal Processing Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

  • Real time systems 100%
  • Acoustic fields 64%
  • Target tracking 47%
  • Acoustic waves 39%
  2 Citations (Scopus)

  42 Downloads (Pure)

• Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering

  Zhao, Z., Karvonen, T., Hostettler, R. & Särkkä, S., Sep 2021, In: IEEE Transactions on Automatic Control. 66, 9, p. 4460-4467 8 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Convergence of numerical methods 100%
  • Linearization 79%
  • Differential equations 71%
  • Experiments 28%
  5 Citations (Scopus)

  169 Downloads (Pure)

• Temporal Parallelization of Bayesian Smoothers

  Särkkä, S. & Garcıa-Fernandez, A. F., Jan 2021, In: IEEE Transactions on Automatic Control. 66, 1, p. 299-306 8 p., 9013038.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access
  4 Citations (Scopus)

• Temporal Parallelization of Inference in Hidden Markov Models

  Hassan, S. S., Särkkä, S. & García-Fernández, Á., 12 Aug 2021, In: IEEE Transactions on Signal Processing. 69, p. 4875-4887 13 p., 9512397.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Hidden Markov models 100%
  • Graphics processing unit 18%
  • Mathematical operators 18%
  45 Downloads (Pure)

• Use of Gaussian Processes in System Identification

  Särkkä, S., 2021, Encyclopedia of Systems and Control. Baillieul, J. & Samad, T. (eds.). 2nd ed. p. 2393-2402 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia / dictionary › Professional

  • Identification (control systems) 100%
  • Impulse response 23%
  • Time series 19%
  • Dynamic models 18%
  • Machine learning 16%
• 2020

  A survey of Monte Carlo methods for parameter estimation

  Luengo, D., Martino, L., Bugallo, M., Elvira, V. & Särkkä, S., 29 May 2020, In: Eurasip Journal on Advances in Signal Processing. 2020, 1, 62 p., 25.

  Research output: Contribution to journal › Review Article › peer-review

  Open Access

  File

  • Monte Carlo methods 100%
  • Markov chains 90%
  • Importance sampling 90%
  • Parameter estimation 86%
  • Signal processing 37%
  39 Citations (Scopus)

  109 Downloads (Pure)

• Augmented sigma-point lagrangian splitting method for sparse nonlinear state estimation

  Gao, R. & Särkkä, S., 2020, 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings. EURASIP – European Association For Signal Processing, p. 2090-2094 5 p. 9287731. (European Signal Processing Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

  • State estimation 100%
  • Kalman filters 46%
  1 Citation (Scopus)

  79 Downloads (Pure)

• Enhancing industrial X-ray tomography by data-centric statistical methods

  Suuronen, J., Emzir, M., Lasanen, S., Särkkä, S. & Roininen, L., 16 Oct 2020, In: Data-Centric Engineering. 1, 3, 17 p., e10.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • X-ray Tomography 100%
  • Industry 64%
  • Uncertainty Quantification 63%
  • Statistical method 61%
  • Tomography 61%
  2 Citations (Scopus)

  36 Downloads (Pure)

• Gaussian mixture models for signal mapping and positioning

  Raitoharju, M., García-Fernández, Á. F., Hostettler, R., Piché, R. & Särkkä, S., 1 Mar 2020, In: Signal Processing. 168, 11 p., 107330.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • RSS 100%
  • Wireless local area networks (WLAN) 10%
  • Transmitters 8%
  • Planning 6%
  12 Citations (Scopus)

• Importance Densities for Particle Filtering Using Iterated Conditional Expectations

  Hostettler, R., Tronarp, F., Garcia-Fernandez, A. F. & Sarkka, S., 1 Jan 2020, In: IEEE Signal Processing Letters. 27, p. 211-215 5 p., 8951063.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Particle Filtering 100%
  • Importance sampling 82%
  • Conditional Expectation 69%
  • Linear regression 64%
  • Linearization 62%
  3 Citations (Scopus)

• Improved Calibration of Numerical Integration Error in Sigma-Point Filters

  Prüher, J., Karvonen, T., Oates, C. J., Straka, O. & Särkkä, S., 6 May 2020, In: IEEE Transactions on Automatic Control. 66, 3, p. 1286-1292 8 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Calibration 100%
  • Polynomial approximation 57%
  • Uncertainty 54%
  • Statistical Models 39%
  1 Citation (Scopus)

• Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection

  Zhao, Z., Särkkä, S. & Rad, A. B., 1 Jul 2020, In: Journal of Signal Processing Systems. 92, p. 621-636 16 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Atrial Fibrillation 100%
  • Electrocardiography 81%
  • Cardiology 27%
  • Time-varying Coefficients 25%
  • Kalman Filter 23%
  12 Citations (Scopus)

  72 Downloads (Pure)

• Kernel-based interpolation at approximate Fekete points

  Karvonen, T., Särkkä, S. & Tanaka, K., 10 Jul 2020, In: NUMERICAL ALGORITHMS. 24 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Fekete Points 100%
  • Convex optimization 66%
  • Interpolation 52%
  • Interpolate 48%
  • kernel 42%
  1 Citation (Scopus)

• Levenberg-marquardt and line-search extended kalman smoothers

  Särkkä, S. & Svensson, L., May 2020, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020. IEEE, p. 5875-5879 5 p. 9054686. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  • Newton-Raphson method 100%
  5 Citations (Scopus)

• Machine Learning Methods for Neonatal Mortality and Morbidity Classification

  Jaskari, J., Myllarinen, J., Leskinen, M., Rad, A. B., Hollmén, J., Andersson, S. & Sarkka, S., 2 Jul 2020, In: IEEE Access. 8, p. 123347-123358 12 p., 9131772.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Classifier 100%
  • Machine learning 53%
  • Classifiers 40%
  • Time series 13%
  • Weight 11%
  17 Citations (Scopus)

  118 Downloads (Pure)

• Maximum likelihood estimation and uncertainty quantification for gaussian process approximation of deterministic functions

  Karvonen, T., Wynne, G., Tronarp, F., Oates, C. & Särkkä, S., 2020, In: SIAM/ASA Journal on Uncertainty Quantification. 8, 3, p. 926-958 33 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Maximum Likelihood Estimation 100%
  • Gaussian Process 76%
  • Uncertainty Quantification 72%
  • Kernel 65%
  • Maximum likelihood estimation 62%
  11 Citations (Scopus)

  101 Downloads (Pure)

• Multispectral photon-counting for medical imaging and beam characterization

  Brücken, E., Bharthuar, S., Emzir, M., Golovleva, M., Gädda, A., Hostettler, R., Härkönen, J., Kirschenmann, S., Litichevskyi, V., Luukka, P., Martikainen, L., Naaranoja, T., Nincǎ, I., Ott, J., Petrow, H., Purisha, Z., Siiskonen, T., Särkkä, S., Tikkanen, J., Tuuva, T., & 1 othersWinkler, A., 18 Feb 2020, In: Journal of Instrumentation. 15, 2, 10 p., C02024.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Photon Counting 100%
  • Medical Imaging 74%
  • Detector 66%
  • Photons 66%
  • Medical imaging 63%
  2 Citations (Scopus)

• Neural Network Based Identification of Fuel Injection Rate Profiles for Diesel Engines

  Immonen, E., Lauren, M., Roininen, L. & Särkkä, S., Feb 2020, Proceedings of the 9th International Conference on Industrial Technology and Management, ICITM 2020. IEEE, p. 138-143 6 p. 9080367

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  • Diesel Engine 100%
  • Neural Networks 82%
  • Injection 79%
  • Fuel injection 75%
  • Diesel engines 60%

• Non-stationary multi-layered Gaussian priors for Bayesian inversion

  Emzir, M., Lasanen, S., Purisha, Z., Roininen, L. & Särkkä, S., 3 Dec 2020, In: Inverse Problems. 37, 1, 26 p., 015002.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Deconvolution 100%
  • Galerkin methods 97%
  • inference 96%
  • Inverse problems 93%
  • smoothing 93%
  5 Citations (Scopus)

  27 Downloads (Pure)

• On Stability of a Class of Filters for Nonlinear Stochastic Systems

  Karvonen, T., Bonnabel, S., Moulines, E. & Särkkä, S., 2020, In: SIAM Journal on Control and Optimization. 58, 4, p. 2023-2049 27 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Nonlinear Stochastic Systems 100%
  • Stochastic systems 90%
  • Filter 67%
  • Unscented Kalman Filter 44%
  • Extended Kalman Filter 36%
  7 Citations (Scopus)

  39 Downloads (Pure)

• Parameter estimation in non-linear state-space models by automatic differentiation of non-linear kalman filters

  Gorad, A., Zhao, Z. & Särkkä, S., Sep 2020, Proceedings of the 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing, MLSP 2020. IEEE Computer Society, 6 p. 9231844. (IEEE International Workshop on Machine Learning for Signal Processing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

  • Parameter estimation 100%
  • Kalman filters 99%
  • Pendulums 37%
  • Extended Kalman filters 37%
  • Derivatives 29%
  100 Downloads (Pure)

• Respiratory Pattern Recognition from Low-Resolution Thermal Imaging

  Aario, S., Gorad, A., Arvonen, M. & Särkkä, S., 2020, Proceedings of the 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020. p. 469-474 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  • Infrared imaging 100%
  • Pattern recognition 74%
  • Support vector machines 67%
  • Kalman filters 38%
  • Classifiers 29%
  2 Citations (Scopus)

• RSS Models for Respiration Rate Monitoring

  Yiǧitler, H., Kaltiokallio, O., Hostettler, R., Abrar, A. S., Jäntti, R., Patwari, N. & Särkkä, S., 1 Mar 2020, In: IEEE Transactions on Mobile Computing. 19, 3, p. 680-696 17 p., 8634923.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • RSS 100%
  • Monitoring 41%
  • Signal to noise ratio 36%
  7 Citations (Scopus)

  211 Downloads (Pure)

• State-space Gaussian Process for Drift Estimation in Stochastic Differential Equations

  Zhao, Z., Tronarp, F., Hostettler, R. & Särkkä, S., May 2020, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020. IEEE, p. 5295-5299 5 p. 9054472. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

  • Differential equations 100%
  • Computational complexity 91%
  • Electromyography 68%
  • Sorting 54%
  • Kalman filters 51%
  3 Citations (Scopus)

  89 Downloads (Pure)

• Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes

  Gao, R., Tronarp, F. & Särkkä, S., 2020, In: IEEE Signal Processing Letters. 27, p. 1305-1309 5 p., 9143395.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Constrained Estimation 100%
  • State Estimation 85%
  • Splitting Method 74%
  • Markov processes 70%
  • State estimation 66%