Simo Särkkä
20002023

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  • 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 proceedingConference contributionScientificpeer-review

  • 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 proceedingConference contributionScientificpeer-review

  • 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 proceedingConference contributionScientificpeer-review

    Open Access
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    2 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 proceedingConference contributionScientificpeer-review

    Open Access
  • 2021

    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 proceedingConference contributionScientificpeer-review

    Open Access
    File
    74 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 proceedingConference contributionScientificpeer-review

    Open Access
    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 proceedingConference contributionScientificpeer-review

    Open Access
    File
    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 proceedingConference contributionScientificpeer-review

    1 Citation (Scopus)
  • 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 proceedingConference contributionScientificpeer-review

    Open Access
    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 proceedingConference contributionScientificpeer-review

    Open Access
    File
    2 Citations (Scopus)
    40 Downloads (Pure)
  • 2020

    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 proceedingConference contributionScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    79 Downloads (Pure)
  • 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 proceedingConference contributionScientificpeer-review

    5 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 proceedingConference contributionScientificpeer-review

  • 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 proceedingConference contributionScientificpeer-review

    Open Access
    File
    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 proceedingConference contributionScientificpeer-review

    Open Access
    2 Citations (Scopus)
  • 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 proceedingConference contributionScientificpeer-review

    Open Access
    File
    3 Citations (Scopus)
    89 Downloads (Pure)
  • 2019

    Asymptotics of Maximum Likelihood Parameter Estimates for Gaussian Processes: The Ornstein-Uhlenbeck Prior

    Karvonen, T., Tronarp, F. & Särkkä, S., 1 Oct 2019, Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019. 6 p. 8918767. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    3 Citations (Scopus)
  • Bounds on the Covariance Matrix of a Class of Kalman-Bucy Filters for Systems with Non-Linear Dynamics

    Karvonen, T., Bonnabel, S., Särkkä, S. & Moulines, E., 18 Jan 2019, Proceedings of 57th IEEE Conference on Decision and Control, CDC 2018. IEEE, Vol. 2018-December. p. 7176-7181 6 p. 8619726. (Proceedings of the IEEE Conference on Decision & Control).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    5 Citations (Scopus)
    231 Downloads (Pure)
  • Gyroscope-aided motion deblurring with deep networks

    Mustaniemi, J., Kannala, J., Särkkä, S., Matas, J. & Heikkilä, J., 4 Mar 2019, Proceedings of the 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019. IEEE, p. 1914-1922 9 p. 8658406. (IEEE Winter Conference on Applications of Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    15 Citations (Scopus)
  • Hilbert-Space Reduced-Rank Methods for Deep Gaussian Processes

    Emzir, M. F., Lasanen, S., Purisha, Z. & Särkkä, S., 1 Oct 2019, Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019. 8918874. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    3 Citations (Scopus)
  • Joint Calibration of Inertial Sensors and Magnetometers using von Mises-Fisher Filtering and Expectation Maximization

    Hostettler, R., Fernandez, A. F., Tronarp, F. & Sarkka, S., 1 Jul 2019, Proceedings of the 22nd International Conference on Information Fusion, FUSION 2019. IEEE, 8 p. 9011257

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  • Millimeter-wave imaging method based on frequency-diverse subarrays

    Leino, M. K., Ala-Laurinaho, J., Purisha, Z., Särkkä, S. & Viikari, V., 1 May 2019, GSMM 2019 - 12th Global Symposium on Millimeter Waves, Proceeding. IEEE, p. 84-86 3 p. 8797670

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    2 Citations (Scopus)
    211 Downloads (Pure)
  • Partitioned Update Binomial Gaussian Mixture Filter

    Raitoharju, M., Garcia-Fernandez, A. F. & Sarkka, S., 1 Jul 2019, Proceedings of the 22nd International Conference on Information Fusion, FUSION 2019. IEEE, 8 p. 9011335

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  • Regularized State Estimation and Parameter Learning Via Augmented Lagrangian Kalman Smoother Method

    Gao, R., Tronarp, F., Zhao, Z. & Särkkä, S., 1 Oct 2019, Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019. 6 p. 8918821. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    3 Citations (Scopus)
  • Rejection-Sampling-Based Ancestor Sampling for Particle Gibbs

    Hostettler, R. & Särkkä, S., 1 Oct 2019, Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019. 6 p. 8918852. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  • Updates in Bayesian Filtering by Continuous Projections on a Manifold of Densities

    Tronarp, F. & Sarkka, S., 1 May 2019, 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings. IEEE, p. 5032-5036 5 p. 8682279. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing; vol. 2019-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    2 Citations (Scopus)
    124 Downloads (Pure)
  • 2018

    A Bayes–Sard Cubature Method

    Karvonen, T., Oates, C. J. & Särkkä, S., Dec 2018, Advances in Neural Information Processing Systems 31: Proceedings of NIPS2017. Curran Associates, Inc., 12 p. (Advances in neural information processing systems; no. 31).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
  • Automatic Sleep Arousal Detection Using State Distance Analysis in Phase Space

    Zabihi, M., Rad, A. B., Sarkka, S., Kiranyaz, S., Katsaggelos, A. K. & Gabbouj, M., 1 Sep 2018, Computing in Cardiology Conference, CinC 2018. 8744012. (Computing in Cardiology; vol. 2018-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    3 Citations (Scopus)
    72 Downloads (Pure)
  • Combined Analysis-L1 and Total Variation ADMM with Applications to MEG Brain Imaging and Signal Reconstruction

    Gao, R., Tronarp, F. & Särkkä, S., 2018, Proceedings of the 26th European Signal Processing Conference, EUSIPCO 2018. IEEE, p. 1930-1934 5 p. (European Signal Processing Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    5 Citations (Scopus)
  • Continuous-Discrete von Mises-Fisher Filtering on S2 for Reference Vector Tracking

    Tronarp, F., Hostettler, R. & Särkkä, S., 5 Sep 2018, Proceedings of the 21st International Conference on Information Fusion, FUSION 2018. IEEE, p. 1345-1352 8 p. 8455299

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    5 Citations (Scopus)
    187 Downloads (Pure)
  • Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements

    Mustaniemi, J., Kannala, J., Särkkä, S., Matas, J. & Heikkilä, J., 2018, 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, p. 3068 -3073 (International Conference on Pattern Recognition (ICPR)).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    11 Citations (Scopus)
  • Mixture representation of the matérn class with applications in state space approximations and Bayesian quadrature

    Tronarp, F., Karvonen, T. & Särkkä, S., 31 Oct 2018, Proceedings of the 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018. Pustelnik, N., Tan, Z-H., Ma, Z. & Larsen, J. (eds.). Vol. 2018-September. 6 p. 8516992. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    2 Citations (Scopus)
    224 Downloads (Pure)
  • Modeling the Drift Function in Stochastic Differential Equations using Reduced Rank Gaussian Processes

    Hostettler, R., Tronarp, F. & Särkkä, S., 1 Jan 2018, 18th IFAC Symposium on System Identification, SYSID 2018. 15 ed. Elsevier, Vol. 51. p. 778-783 6 p. (IFAC-PapersOnLine).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    2 Citations (Scopus)
    192 Downloads (Pure)
  • Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering

    Hostettler, R., Lumikari, T., Palva, L., Nieminen, T. & Särkkä, S., 5 Sep 2018, Proceedings of the 21st International Conference on Information Fusion, FUSION 2018. IEEE, p. 780-787 8 p. 8455698

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    9 Citations (Scopus)
    422 Downloads (Pure)
  • Non-Linear Continuous-Discrete Smoothing by Basis Function Expansions of Brownian Motion

    Tronarp, F. & Särkkä, S., 5 Sep 2018, Proceedings of the 21st International Conference on Information Fusion, FUSION 2018. IEEE, p. 1114-1121 8 p. 8455493

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    203 Downloads (Pure)
  • On-line Bayesian parameter estimation in electrocardiogram state space models

    Suotsalo, K. & Särkkä, S., 31 Oct 2018, 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018 - Proceedings. Pustelnik, N., Tan, Z-H., Ma, Z. & Larsen, J. (eds.). Vol. 2018-September. 8517028. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  • Spectro-Temporal ECG Analysis for Atrial Fibrillation Detection

    Zhao, Z., Särkkä, S. & Bahrami Rad, A., 2018, 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018. Pustelnik, N., Tan, Z-H., Ma, Z. & Larsen, J. (eds.). IEEE, 6 p. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    17 Citations (Scopus)
    279 Downloads (Pure)
  • Tracking of dynamic functional connectivity from MEG data with Kalman filtering

    Tronarp, F., Subramaniyam, N. P., Särkkä, S. & Parkkonen, L., 26 Oct 2018, Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. IEEE, Vol. 2018-July. p. 1003-1006 4 p. 8512456. (Annual International Conference of the IEEE Engineering in Medicine and Biology Society).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    5 Citations (Scopus)
    258 Downloads (Pure)
  • 2017

    A linear stochastic state space model for electrocardiograms

    Suotsalo, K. & Särkkä, S., 7 Dec 2017, Proceedings of 27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP2017. IEEE, 6 p. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    4 Citations (Scopus)
  • Classical quadrature rules via Gaussian processes

    Karvonen, T. & Särkkä, S., 7 Dec 2017, Proceedings of 27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP2017. IEEE, 7 p. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    15 Citations (Scopus)
    250 Downloads (Pure)
  • Detecting Malignant Ventricular Arrhythmias in Electrocardiograms by Gaussian Process Classification

    Suotsalo, K. & Särkkä, S., 7 Dec 2017, Proceedings of 27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP2017. IEEE, 5 p. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    3 Citations (Scopus)
  • Expectation–maximization algorithm with a nonlinear kalman smoother for MEG/EEG connectivity estimation

    Subramaniyam, N. P., Tronarp, F., Särkkä, S. & Parkkonen, L., 2017, EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017. p. 763-766 4 p. (IFMBE Proceedings; vol. 65).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    3 Citations (Scopus)
  • Inertial-based scale estimation for structure from motion on mobile devices

    Mustaniemi, J., Kannala, J., Särkkä, S., Matas, J. & Heikkila, J., 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . Zhang, H. & Vaughan, R. (eds.). IEEE, p. 4394-4401 (Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    19 Citations (Scopus)
  • Parallelizable sparse inverse formulation Gaussian processes (SpInGP)

    Grigorevskiy, A., Lawrence, N. & Särkkä, S., 2017, 2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Proceedings. IEEE, 7 p. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    8 Citations (Scopus)
  • Prediction of major complications affecting very low birth weight infants

    Rinta-Koski, O-P., Särkkä, S., Hollmen, J., Leskinen, M., Rantakari, K. & Andersson, S., 2017, 2017 IEEE LIFE SCIENCES CONFERENCE (LSC). IEEE, p. 186-189 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    1 Citation (Scopus)
  • Prediction of preterm infant mortality with Gaussian process classification

    Rinta-Koski, O-P., Särkkä, S., Hollmen, J. & Andersson, S., 2017, Proceedings of 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN (European Symposium on Artificial Neural Networks), p. 193-198

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  • Rao-Blackwellized Particle MCMC for Parameter Estimation in Spatio-Temporal Gaussian Processes

    Hostettler, R., Särkkä, S. & Godsill, S. J., 2017, Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 . IEEE, 6 p. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    3 Citations (Scopus)
    177 Downloads (Pure)
  • RSS-based respiratory rate monitoring using periodic Gaussian processes and Kalman filtering

    Hostettler, R., Kaltiokallio, O., Ali, Y., Särkkä, S. & Jäntti, R., 2017, 25th European Signal Processing Conference (EUSIPCO). IEEE, p. 256-260 (European Signal Processing Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    9 Citations (Scopus)
    225 Downloads (Pure)
  • Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise

    Prüher, J., Tronarp, F., Karvonen, T., Särkkä, S. & Straka, O., Jul 2017, 20th International Conference on Information Fusion, Fusion 2017 - Proceedings. IEEE, p. 875-882 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    11 Citations (Scopus)
    175 Downloads (Pure)
  • 2016

    Approximate state-space Gaussian processes via spectral transformation

    Karvonen, T. & Särkkä, S., 8 Nov 2016, Proceedings of the 2016 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016. Palmieri, F. A. N., Uncini, A., Diamantaras, K. & Larsen, J. (eds.). Vol. 2016-November. 7738812. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    8 Citations (Scopus)
    241 Downloads (Pure)
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