Bicycle tracking using ellipse extraction. - Tohid Ardeshiri; Fredrik Larsson; Fredrik Gustafsson; Thomas B. Schön; Michael Felsberg (FUSION, 2011)

On mixture reduction for multiple target tracking. - Tohid Ardeshiri; Umut Orguner; Christian Lundquist; Thomas B. Schön (FUSION, 2012)

An adaptive PHD filter for tracking with unknown sensor characteristics. - Tohid Ardeshiri; Emre Özkan (FUSION, 2013)

Maximum Entropy Property of Discrete-time First Order Stable Spline Kernel. - Tohid Ardeshiri; Tianshi Chen 001 (CoRR, 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 stable spline kernel. - Tohid Ardeshiri; Tianshi Chen 001 (ICASSP, 2015)

A NLOS-robust TOA positioning filter based on a skew-t measurement noise model. - Henri Nurminen; Tohid Ardeshiri; Robert Piché; Fredrik Gustafsson (IPIN, 2015)

Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family. - Tohid Ardeshiri; Umut Orguner; Fredrik Gustafsson (CoRR, 2015)

Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence. - Tohid Ardeshiri; Umut Orguner; Emre Özkan (CoRR, 2015)

Greedy Reduction Algorithms for Mixtures of Exponential Family. - Tohid Ardeshiri; Karl Granström; Emre Özkan; Umut Orguner (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)

Robust Inference for State-Space Models with Skewed Measurement Noise. - Henri Nurminen; Tohid Ardeshiri; Robert Piché; Fredrik Gustafsson (IEEE Signal Process. Lett., 2015)

Analytical Approximations for Bayesian Inference. - Tohid Ardeshiri (2015)

A central limit theorem with application to inference in ( alpha )-stable regression models. - Marina Riabiz; Tohid Ardeshiri; Simon J. Godsill (NIPS Time Series Workshop, 2016)

Maximum entropy properties of discrete-time first-order stable spline kernel. - Tianshi Chen 001; Tohid Ardeshiri; Francesca P. Carli; Alessandro Chiuso; Lennart Ljung; Gianluigi Pillonetto (Autom., 2016)

Approximate Recursive Identification of Autoregressive Systems with Skewed Innovations. - Henri Nurminen; Tohid Ardeshiri (CoRR, 2016)

Skew-t inference with improved covariance matrix approximation. - Henri Nurminen; Tohid Ardeshiri; Robert Piché; Fredrik Gustafsson (CoRR, 2016)

Identification of Piecewise Affine State-Space Models via Expectation Maximization. - Rafael Rui; Tohid Ardeshiri; Alexandre S. Bazanella (CoRR, 2016)

State Estimation for Piecewise Affine State-Space Models. - Rafael Rui; Tohid Ardeshiri; Henri Nurminen; Alexandre S. Bazanella; Fredrik Gustafsson (CoRR, 2016)

Simulated convergence rates with application to an intractable α-stable inference problem. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (CAMSAP, 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 (FUSION, 2017)

Efficient bridging-based destination inference in object tracking. - Tohid Ardeshiri; Bashar I. Ahmad; Patrick M. Langdon; Simon J. Godsill (ICASSP, 2017)

Convergence results for tractable inference in α-stable stochastic processes. - Marina Riabiz; Tohid Ardeshiri; Simon J. Godsill (DSP, 2017)

Robust Bayesian Filtering and Smoothing Using Student's t Distribution. - Michael Roth 003; Tohid Ardeshiri; Emre Özkan; Fredrik Gustafsson (CoRR, 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)

Sharp Gaussian Approximation Bounds for Linear Systems with $ alpha$ -stable Noise. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (ISIT, 2018)

Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version]. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (CoRR, 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 Inference With Stable Noise. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (IEEE Trans. Inf. Theory, 2020)

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)