Jalil Taghia

Orcid: 0000-0001-8880-1168

Affiliations:
  • Stanford University, School of Medicine, CA, USA
  • Technical University of Berlin, Neural Information Processing, Germany
  • Royal Institute of Technology, Stockholm, Sweden


According to our database1, Jalil Taghia authored at least 36 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Bayesian analysis of Ecological Momentary Assessment (EMA) data collected in adults before and after hearing rehabilitation.
Frontiers Digit. Health, March, 2023

Variational Elliptical Processes.
CoRR, 2023

Domain Adaptation for Network Performance Modeling with and without Labeled Data.
Proceedings of the NOMS 2023, 2023

2022
Evolving 5G: ANIARA, an Edge-Cloud perspective.
CoRR, 2022

Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network.
Proceedings of the IEEE INFOCOM 2022, 2022

Policy-Induced Unsupervised Feature Selection: A Networking Case Study.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
Source Selection in Transfer Learning for Improved Service Performance Predictions.
Proceedings of the IFIP Networking Conference, 2021

Towards Source Selection in Transfer Learning for Cloud Performance Prediction.
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

2020
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2020

The Elliptical Processes: a New Family of Flexible Stochastic Processes.
CoRR, 2020

IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications.
IEEE Access, 2020

Ensemble-based Synthetic Data Synthesis for Federated QoE Modeling.
Proceedings of the 6th IEEE Conference on Network Softwarization, 2020

2019
The NIGENS General Sound Events Database.
CoRR, 2019

On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models.
CoRR, 2019

Constructing the Matrix Multilayer Perceptron and its Application to the VAE.
CoRR, 2019

Conditionally Independent Multiresolution Gaussian Processes.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Recent advances in machine learning for non-Gaussian data processing.
Neurocomputing, 2018

2017
Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI.
NeuroImage, 2017

2016
Variational Inference for Watson Mixture Model.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015
Line spectral frequencies modeling by a mixture of von Mises-Fisher distributions.
Signal Process., 2015

Probabilistic Multiview Depth Image Enhancement Using Variational Inference.
IEEE J. Sel. Top. Signal Process., 2015

2014
Bayesian Modeling of Directional Data with Acoustic and Other Applications.
PhD thesis, 2014

Separation of Unknown Number of Sources.
IEEE Signal Process. Lett., 2014

Bayesian estimation of Dirichlet mixture model with variational inference.
Pattern Recognit., 2014

Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Statistical methods for inter-viewdepth enhancement.
Proceedings of the 3DTV-Conference 2014: The True Vision, 2014

2013
On von-mises fisher mixture model in text-independent speaker identification.
Proceedings of the INTERSPEECH 2013, 2013

Dual-channel noise reduction based on a mixture of circular-symmetric complex Gaussians on unit hypersphere.
Proceedings of the IEEE International Conference on Acoustics, 2013

Multiview depth map enhancement by variational bayes inference estimation of Dirichlet mixture models.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
A Variational Bayesian Inference Framework for Multiview Depth Image Enhancement.
Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012

A variational Bayes approach to the underdetermined blind source separation with automatic determination of the number of sources.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Sparsity level in a non-negative matrix factorization based speech strategy in cochlear implants.
Proceedings of the 20th European Signal Processing Conference, 2012

An Investigation on Mutual Information for the Linear Predictive System and the Extrapolation of Speech Signals.
Proceedings of the 10th ITG Conference on Speech Communication, 2012

2011
Blind source separation of nondisjoint sources in the time-frequency domain with model-based determination of source contribution.
Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology, 2011

An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments.
Proceedings of the IEEE International Conference on Acoustics, 2011

2007
One-Channel Audio Source Separation of Convolutive Mixture.
Proceedings of the Advances in Computer and Information Sciences and Engineering, 2007


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