Jalil Taghia

ORCID

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 20

Top Venues

CoRR

IEEE Trans. Pattern Anal. Mach. Intell.

IEEE Signal Process. Lett.

NetSoft

Royal Institute of Technology, Stockholm, Sweden (PHD)

Education History

Royal Institute of Technology, Stockholm, Sweden

PHD

Publications

Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
Variational Elliptical Processes. Trans. Mach. Learn. Res. 2023 (2023)
Arne Leijon, Petra von Gablenz, Inga Holube, Jalil Taghia, Karolina Smeds
Bayesian analysis of Ecological Momentary Assessment (EMA) data collected in adults before and after hearing rehabilitation. Frontiers Digit. Health 5 (2023)
Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
Variational Elliptical Processes. CoRR (2023)
Hannes Larsson, Farnaz Moradi, Jalil Taghia, Xiaoyu Lan, Andreas Johnsson
Domain Adaptation for Network Performance Modeling with and without Labeled Data. NOMS (2023)
Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson
Policy-Induced Unsupervised Feature Selection: A Networking Case Study. INFOCOM (2022)
Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson
Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network. INFOCOM Workshops (2022)
Ian Marsh, Wolfgang John, Ali Balador, Federico Tonini, Jalil Taghia, Andreas Johnsson, Paolo Monti, Jonas Gustafsson, Pontus Sköldström, Johan Sjöberg, Jim Dowling
Evolving 5G: ANIARA, an Edge-Cloud perspective. CoRR (2022)
Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson
Source Selection in Transfer Learning for Improved Service Performance Predictions. Networking (2021)
Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson
Towards Source Selection in Transfer Learning for Cloud Performance Prediction. IM (2021)
Zhanyu Ma, Sunwoo Kim, Pascual Martínez-Gómez, Jalil Taghia, Yi-Zhe Song, Huiji Gao
IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications. IEEE Access 8 (2020)
Selim Ickin, Konstantinos Vandikas, Farnaz Moradi, Jalil Taghia, Wenfeng Hu
Ensemble-based Synthetic Data Synthesis for Federated QoE Modeling. NetSoft (2020)
Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
The Elliptical Processes: a New Family of Flexible Stochastic Processes. CoRR (2020)
Zhanyu Ma, Jiyang Xie, Yuping Lai, Jalil Taghia, Jing-Hao Xue, Jun Guo
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Ivo Trowitzsch, Jalil Taghia, Youssef Kashef, Klaus Obermayer
The NIGENS General Sound Events Database. CoRR (2019)
Jalil Taghia, Thomas B. Schön
Conditionally Independent Multiresolution Gaussian Processes. AISTATS (2019)
Jalil Taghia, Maria Bånkestad, Fredrik Lindsten, Thomas B. Schön
Constructing the Matrix Multilayer Perceptron and its Application to the VAE. CoRR (2019)
Zhanyu Ma, Jalil Taghia, Jun Guo
On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models. CoRR (2019)
Zhanyu Ma, Jen-Tzung Chien, Zheng-Hua Tan, Yi-Zhe Song, Jalil Taghia, Ming Xiao
Recent advances in machine learning for non-Gaussian data processing. Neurocomputing 278 (2018)
Jalil Taghia, Srikanth Ryali, Tianwen Chen, Kaustubh Supekar, Weidong Cai, Vinod Menon
Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI. NeuroImage 155 (2017)
Jalil Taghia, Arne Leijon
Variational Inference for Watson Mixture Model. IEEE Trans. Pattern Anal. Mach. Intell. 38 (9) (2016)
Pravin Kumar Rana, Jalil Taghia, Zhanyu Ma, Markus Flierl
Probabilistic Multiview Depth Image Enhancement Using Variational Inference. IEEE J. Sel. Top. Signal Process. 9 (3) (2015)
Zhanyu Ma, Jalil Taghia, W. Bastiaan Kleijn, Arne Leijon, Jun Guo
Line spectral frequencies modeling by a mixture of von Mises-Fisher distributions. Signal Process. 114 (2015)
Pravin Kumar Rana, Jalil Taghia, Markus Flierl
Statistical methods for inter-viewdepth enhancement. 3DTV-Conference (2014)
Zhanyu Ma, Pravin Kumar Rana, Jalil Taghia, Markus Flierl, Arne Leijon
Bayesian estimation of Dirichlet mixture model with variational inference. Pattern Recognit. 47 (9) (2014)
Jalil Taghia, Zhanyu Ma, Arne Leijon
Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference. IEEE Trans. Pattern Anal. Mach. Intell. 36 (9) (2014)
Jalil Taghia, Arne Leijon
Separation of Unknown Number of Sources. IEEE Signal Process. Lett. 21 (5) (2014)
Pravin Kumar Rana, Zhanyu Ma, Jalil Taghia, Markus Flierl
Multiview depth map enhancement by variational bayes inference estimation of Dirichlet mixture models. ICASSP (2013)
Jalil Taghia, Zhanyu Ma, Arne Leijon
On von-mises fisher mixture model in text-independent speaker identification. INTERSPEECH (2013)
Jalal Taghia, Rainer Martin, Jalil Taghia, Arne Leijon
Dual-channel noise reduction based on a mixture of circular-symmetric complex Gaussians on unit hypersphere. ICASSP (2013)
Jalal Taghia, Rainer Martin, Jalil Taghia, Arne Leijon
An Investigation on Mutual Information for the Linear Predictive System and the Extrapolation of Speech Signals. ITG Conference on Speech Communication (2012)
Jalil Taghia, Nasser Mohammadiha, Arne Leijon
A variational Bayes approach to the underdetermined blind source separation with automatic determination of the number of sources. ICASSP (2012)
Pravin Kumar Rana, Jalil Taghia, Markus Flierl
A Variational Bayesian Inference Framework for Multiview Depth Image Enhancement. ISM (2012)
Hongmei Hu, Nasser Mohammadiha, Jalil Taghia, Arne Leijon, Mark E. Lutman, Shouyan Wang
Sparsity level in a non-negative matrix factorization based speech strategy in cochlear implants. EUSIPCO (2012)
Jalil Taghia, Timo Gerkmann, Arne Leijon
Blind source separation of nondisjoint sources in the time-frequency domain with model-based determination of source contribution. ISSPIT (2011)
Jalal Taghia, Jalil Taghia, Nasser Mohammadiha, Jinqiu Sang, Václav Bouse, Rainer Martin
An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments. ICASSP (2011)
Jalal Taghia, Jalil Taghia
One-Channel Audio Source Separation of Convolutive Mixture. SCSS (1) (2007)

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Publication Activity (10 Years)

Top Topics

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Jalil Taghia