Tohid Ardeshiri

According to our database, Tohid Ardeshiri authored at least 29 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Corporate governance performance ratings with machine learning.

Jan Svanberg, Tohid Ardeshiri, Isak Samsten, Peter Öhman, Presha E. Neidermeyer, Tarek Rana, Natalia Semenova, Mats Danielson

Intell. Syst. Account. Finance Manag., 2022

2020

Nonasymptotic Gaussian Approximation for Inference With Stable Noise.

Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill

IEEE Trans. Inf. Theory, 2020

2018

Skew-t Filter and Smoother With Improved Covariance Matrix Approximation.

Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson

IEEE Trans. Signal Process., 2018

Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version].

Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill

CoRR, 2018

Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise.

Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

State Estimation for a Class of Piecewise Affine State-Space Models.

Rafael Rui, Tohid Ardeshiri, Henri Nurminen, Alexandre S. Bazanella, Fredrik Gustafsson

IEEE Signal Process. Lett., 2017

Robust Bayesian Filtering and Smoothing Using Student's t Distribution.

Michael Roth, Tohid Ardeshiri, Emre Özkan, Fredrik Gustafsson

CoRR, 2017

Convergence results for tractable inference in α-stable stochastic processes.

Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Efficient bridging-based destination inference in object tracking.

Tohid Ardeshiri, Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study.

Bashar I. Ahmad, Tohid Ardeshiri, Pat Langdon, Simon J. Godsill, Thomas Popham

Proceedings of the 20th International Conference on Information Fusion, 2017

Simulated convergence rates with application to an intractable α-stable inference problem.

Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

State Estimation for Piecewise Affine State-Space Models.

Rafael Rui, Tohid Ardeshiri, Henri Nurminen, Alexandre S. Bazanella, Fredrik Gustafsson

CoRR, 2016

Identification of Piecewise Affine State-Space Models via Expectation Maximization.

Rafael Rui, Tohid Ardeshiri, Alexandre S. Bazanella

CoRR, 2016

Skew-t inference with improved covariance matrix approximation.

Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson

CoRR, 2016

Approximate Recursive Identification of Autoregressive Systems with Skewed Innovations.

Henri Nurminen, Tohid Ardeshiri

CoRR, 2016

Maximum entropy properties of discrete-time first-order stable spline kernel.

Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto

Autom., 2016

A central limit theorem with application to inference in \(\alpha\)-stable regression models.

Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill

Proceedings of the NIPS 2016 Time Series Workshop, 2016

2015

Robust Inference for State-Space Models with Skewed Measurement Noise.

Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson

IEEE Signal Process. Lett., 2015

Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances.

Tohid Ardeshiri, Emre Özkan, Umut Orguner, Fredrik Gustafsson

IEEE Signal Process. Lett., 2015

Greedy Reduction Algorithms for Mixtures of Exponential Family.

Tohid Ardeshiri, Karl Granström, Emre Özkan, Umut Orguner

IEEE Signal Process. Lett., 2015

Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence.

Tohid Ardeshiri, Umut Orguner, Emre Özkan

CoRR, 2015

Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family.

Tohid Ardeshiri, Umut Orguner, Fredrik Gustafsson

CoRR, 2015

A NLOS-robust TOA positioning filter based on a skew-t measurement noise model.

Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson

Proceedings of the 2015 International Conference on Indoor Positioning and Indoor Navigation, 2015

Maximum entropy property of discrete-time stable spline kernel.

Tohid Ardeshiri, Tianshi Chen

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances.

Tohid Ardeshiri, Emre Özkan, Umut Orguner

CoRR, 2014

Maximum Entropy Property of Discrete-time First Order Stable Spline Kernel.

Tohid Ardeshiri, Tianshi Chen

CoRR, 2014

2013

An adaptive PHD filter for tracking with unknown sensor characteristics.

Tohid Ardeshiri, Emre Özkan

Proceedings of the 16th International Conference on Information Fusion, 2013

2012

On mixture reduction for multiple target tracking.

Tohid Ardeshiri, Umut Orguner, Christian Lundquist, Thomas B. Schön

Proceedings of the 15th International Conference on Information Fusion, 2012

2011

Bicycle tracking using ellipse extraction.

Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schön, Michael Felsberg

Proceedings of the 14th International Conference on Information Fusion, 2011