Jalil Taghia

38 papers A* 1A 2B 4C 1Misc 4Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multi-Generator Continual Learning for Robust Delay Prediction in 6G.
CoRR
Xiaoyu Lan, Jalil Taghia, Hannes Larsson, Andreas Johnsson
2023 J jnl
Bayesian analysis of Ecological Momentary Assessment (EMA) data collected in adults before and after hearing rehabilitation.
Frontiers Digit. Health
Arne Leijon, Petra von Gablenz, Inga Holube, Jalil Taghia, Karolina Smeds
2023 B conf
Domain Adaptation for Network Performance Modeling with and without Labeled Data.
NOMS
Hannes Larsson, Farnaz Moradi, Jalil Taghia, Xiaoyu Lan, Andreas Johnsson
2023 J jnl
Variational Elliptical Processes.
CoRR
Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
2023 J jnl
Variational Elliptical Processes.
Trans. Mach. Learn. Res.
Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
2022 — conf
Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network.
INFOCOM Workshops
Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson
2022 J jnl
Evolving 5G: ANIARA, an Edge-Cloud perspective.
CoRR
Ian Marsh, Wolfgang John, Ali Balador, Federico Tonini, Jalil Taghia, Andreas Johnsson, Paolo Monti, Jonas Gustafsson, Pontus Sköldström, Johan Sjöberg, Jim Dowling
2022 A* conf
Policy-Induced Unsupervised Feature Selection: A Networking Case Study.
INFOCOM
Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson
2021 B conf
Source Selection in Transfer Learning for Improved Service Performance Predictions.
Networking
Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson
2021 B conf
Towards Source Selection in Transfer Learning for Cloud Performance Prediction.
IM
Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson
2020 B conf
Ensemble-based Synthetic Data Synthesis for Federated QoE Modeling.
NetSoft
Selim Ickin, Konstantinos Vandikas, Farnaz Moradi, Jalil Taghia, Wenfeng Hu
2020 J jnl
IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications.
IEEE Access
Zhanyu Ma, Sunwoo Kim, Pascual Martínez-Gómez, Jalil Taghia, Yi-Zhe Song, Huiji Gao
2020 J jnl
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling.
IEEE Trans. Neural Networks Learn. Syst.
Zhanyu Ma, Jiyang Xie, Yuping Lai, Jalil Taghia, Jing-Hao Xue, Jun Guo
2020 J jnl
The Elliptical Processes: a New Family of Flexible Stochastic Processes.
CoRR
Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön
2019 A conf
Conditionally Independent Multiresolution Gaussian Processes.
AISTATS
Jalil Taghia, Thomas B. Schön
2019 J jnl
Constructing the Matrix Multilayer Perceptron and its Application to the VAE.
CoRR
Jalil Taghia, Maria Bånkestad, Fredrik Lindsten, Thomas B. Schön
2019 J jnl
On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models.
CoRR
Zhanyu Ma, Jalil Taghia, Jun Guo
2019 J jnl
The NIGENS General Sound Events Database.
CoRR
Ivo Trowitzsch, Jalil Taghia, Youssef Kashef, Klaus Obermayer
2018 J jnl
Recent advances in machine learning for non-Gaussian data processing.
Neurocomputing
Zhanyu Ma, Jen-Tzung Chien, Zheng-Hua Tan, Yi-Zhe Song, Jalil Taghia, Ming Xiao
2017 J jnl
Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI.
NeuroImage
Jalil Taghia, Srikanth Ryali, Tianwen Chen, Kaustubh Supekar, Weidong Cai, Vinod Menon
2016 J jnl
Variational Inference for Watson Mixture Model.
IEEE Trans. Pattern Anal. Mach. Intell.
Jalil Taghia, Arne Leijon
2015 J jnl
Line spectral frequencies modeling by a mixture of von Mises-Fisher distributions.
Signal Process.
Zhanyu Ma, Jalil Taghia, W. Bastiaan Kleijn, Arne Leijon, Jun Guo
2015 J jnl
Probabilistic Multiview Depth Image Enhancement Using Variational Inference.
IEEE J. Sel. Top. Signal Process.
Pravin Kumar Rana, Jalil Taghia, Zhanyu Ma, Markus Flierl
2014 J jnl
Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference.
IEEE Trans. Pattern Anal. Mach. Intell.
Jalil Taghia, Zhanyu Ma, Arne Leijon
2014 — —
Bayesian Modeling of Directional Data with Acoustic and Other Applications.
Jalil Taghia
2014 J jnl
Bayesian estimation of Dirichlet mixture model with variational inference.
Pattern Recognit.
Zhanyu Ma, Pravin Kumar Rana, Jalil Taghia, Markus Flierl, Arne Leijon
2014 J jnl
Separation of Unknown Number of Sources.
IEEE Signal Process. Lett.
Jalil Taghia, Arne Leijon
2014 — conf
Statistical methods for inter-viewdepth enhancement.
3DTV-Conference
Pravin Kumar Rana, Jalil Taghia, Markus Flierl
2013 Misc conf
Dual-channel noise reduction based on a mixture of circular-symmetric complex Gaussians on unit hypersphere.
ICASSP
Jalal Taghia, Rainer Martin, Jalil Taghia, Arne Leijon
2013 Misc conf
Multiview depth map enhancement by variational bayes inference estimation of Dirichlet mixture models.
ICASSP
Pravin Kumar Rana, Zhanyu Ma, Jalil Taghia, Markus Flierl
2013 A conf
On von-mises fisher mixture model in text-independent speaker identification.
INTERSPEECH
Jalil Taghia, Zhanyu Ma, Arne Leijon
2012 C conf
A Variational Bayesian Inference Framework for Multiview Depth Image Enhancement.
ISM
Pravin Kumar Rana, Jalil Taghia, Markus Flierl
2012 Misc conf
A variational Bayes approach to the underdetermined blind source separation with automatic determination of the number of sources.
ICASSP
Jalil Taghia, Nasser Mohammadiha, Arne Leijon
2012 — conf
An Investigation on Mutual Information for the Linear Predictive System and the Extrapolation of Speech Signals.
ITG Conference on Speech Communication
Jalal Taghia, Rainer Martin, Jalil Taghia, Arne Leijon
2012 — conf
Sparsity level in a non-negative matrix factorization based speech strategy in cochlear implants.
EUSIPCO
Hongmei Hu, Nasser Mohammadiha, Jalil Taghia, Arne Leijon, Mark E. Lutman, Shouyan Wang
2011 Misc conf
An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments.
ICASSP
Jalal Taghia, Jalil Taghia, Nasser Mohammadiha, Jinqiu Sang, Václav Bouse, Rainer Martin
2011 — conf
Blind source separation of nondisjoint sources in the time-frequency domain with model-based determination of source contribution.
ISSPIT
Jalil Taghia, Timo Gerkmann, Arne Leijon
2007 — conf
One-Channel Audio Source Separation of Convolutive Mixture.
SCSS (1)
Jalal Taghia, Jalil Taghia