Tohid Ardeshiri

33 papers B 1C 5Misc 2Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Corporate governance performance ratings with machine learning. Intell. Syst. Account. Finance Manag. Jan Svanberg, Tohid Ardeshiri, Isak Samsten, Peter Öhman, Presha E. Neidermeyer, Tarek Rana, Natalia Semenova, Mats Danielson
2020	J	`jnl`	Nonasymptotic Gaussian Approximation for Inference With Stable Noise. IEEE Trans. Inf. Theory Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2018	J	`jnl`	Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version]. CoRR Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2018	B	`conf`	Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise. ISIT Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2018	J	`jnl`	Skew-t Filter and Smoother With Improved Covariance Matrix Approximation. IEEE Trans. Signal Process. Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
2017	—	`conf`	Convergence results for tractable inference in α-stable stochastic processes. DSP Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill
2017	Misc	`conf`	Efficient bridging-based destination inference in object tracking. ICASSP Tohid Ardeshiri, Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill
2017	C	`conf`	Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study. FUSION Bashar I. Ahmad, Tohid Ardeshiri, Pat Langdon, Simon J. Godsill, Thomas Popham
2017	J	`jnl`	Robust Bayesian Filtering and Smoothing Using Student's t Distribution. CoRR Michael Roth, Tohid Ardeshiri, Emre Özkan, Fredrik Gustafsson
2017	—	`conf`	Simulated convergence rates with application to an intractable α-stable inference problem. CAMSAP Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2017	J	`jnl`	State Estimation for a Class of Piecewise Affine State-Space Models. IEEE Signal Process. Lett. Rafael Rui, Tohid Ardeshiri, Henri Nurminen, Alexandre S. Bazanella, Fredrik Gustafsson
2016	—	`conf`	A central limit theorem with application to inference in $\alpha$-stable regression models. NIPS Time Series Workshop Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill
2016	J	`jnl`	Approximate Recursive Identification of Autoregressive Systems with Skewed Innovations. CoRR Henri Nurminen, Tohid Ardeshiri
2016	J	`jnl`	Identification of Piecewise Affine State-Space Models via Expectation Maximization. CoRR Rafael Rui, Tohid Ardeshiri, Alexandre S. Bazanella
2016	J	`jnl`	Maximum entropy properties of discrete-time first-order stable spline kernel. Autom. Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
2016	J	`jnl`	Skew-t Filter and Smoother with Improved Covariance Matrix Approximation. CoRR Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
2016	J	`jnl`	Skew-t inference with improved covariance matrix approximation. CoRR Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
2016	J	`jnl`	State Estimation for Piecewise Affine State-Space Models. CoRR Rafael Rui, Tohid Ardeshiri, Henri Nurminen, Alexandre S. Bazanella, Fredrik Gustafsson
2015	C	`conf`	A NLOS-robust TOA positioning filter based on a skew-t measurement noise model. IPIN Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
2015	—	`—`	Analytical Approximations for Bayesian Inference. Tohid Ardeshiri
2015	J	`jnl`	Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances. IEEE Signal Process. Lett. Tohid Ardeshiri, Emre Özkan, Umut Orguner, Fredrik Gustafsson
2015	J	`jnl`	Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family. CoRR Tohid Ardeshiri, Umut Orguner, Fredrik Gustafsson
2015	J	`jnl`	Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence. CoRR Tohid Ardeshiri, Umut Orguner, Emre Özkan
2015	J	`jnl`	Greedy Reduction Algorithms for Mixtures of Exponential Family. IEEE Signal Process. Lett. Tohid Ardeshiri, Karl Granström, Emre Özkan, Umut Orguner
2015	J	`jnl`	Maximum entropy properties of discrete-time first-order stable spline kernel. CoRR Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
2015	Misc	`conf`	Maximum entropy property of discrete-time stable spline kernel. ICASSP Tohid Ardeshiri, Tianshi Chen
2015	J	`jnl`	Robust Inference for State-Space Models with Skewed Measurement Noise. CoRR Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
2015	J	`jnl`	Robust Inference for State-Space Models with Skewed Measurement Noise. IEEE Signal Process. Lett. Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson
2014	J	`jnl`	Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances. CoRR Tohid Ardeshiri, Emre Özkan, Umut Orguner
2014	J	`jnl`	Maximum Entropy Property of Discrete-time First Order Stable Spline Kernel. CoRR Tohid Ardeshiri, Tianshi Chen
2013	C	`conf`	An adaptive PHD filter for tracking with unknown sensor characteristics. FUSION Tohid Ardeshiri, Emre Özkan
2012	C	`conf`	On mixture reduction for multiple target tracking. FUSION Tohid Ardeshiri, Umut Orguner, Christian Lundquist, Thomas B. Schön
2011	C	`conf`	Bicycle tracking using ellipse extraction. FUSION Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schön, Michael Felsberg