Arun Venkitaraman

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective.

[BibT_eX]

[DOI]

Rami Mochaourab

Isak Samsten

Panagiotis Papapetrou

Cristian R. Rojas

IEEE Signal Process. Mag., 2022

Annihilation Filter Approach for Estimating Graph Dynamics from Diffusion Processes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Learning Models of Model Predictive Controllers using Gradient Data.

[BibT_eX]

[DOI]

Rebecka Winqvist

CoRR, 2021

2020

High-dimensional neural feature design for layer-wise reduction of training cost.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2020

Task-similarity Aware Meta-learning through Nonparametric Kernel Regression.

[BibT_eX]

[DOI]

CoRR, 2020

Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University.

[BibT_eX]

[DOI]

CoRR, 2020

On Training and Evaluation of Neural Network Approaches for Model Predictive Control.

[BibT_eX]

[DOI]

Rebecka Winqvist

CoRR, 2020

Recursive Prediction of Graph Signals With Incoming Nodes.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Gaussian Processes Over Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Predicting Graph Signals Using Kernel Regression Where the Input Signal is Agnostic to a Graph.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2019

Learning Sparse Graphs for Prediction of Multivariate Data Processes.

[BibT_eX]

[DOI]

Dave Zachariah

IEEE Signal Process. Lett., 2019

On Hilbert transform, analytic signal, and modulation analysis for signals over graphs.

[BibT_eX]

[DOI]

Signal Process., 2019

Learning sparse linear dynamic networks in a hyper-parameter free setting.

[BibT_eX]

[DOI]

Håkan Hjalmarsson

CoRR, 2019

Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Graph Signal Processing Meets Machine Learning.

[BibT_eX]

[DOI]

PhD thesis, 2018

Greedy Sparse Learning Over Network.

[BibT_eX]

[DOI]

Ahmed Zaki

Lars Kildehoj Rasmussen

IEEE Trans. Signal Inf. Process. over Networks, 2018

Supervised Linear Regression for Graph Learning from Graph Signals.

[BibT_eX]

[DOI]

Hermina Petric Maretic

CoRR, 2018

R3Net: Random Weights, Rectifier Linear Units and Robustness for Artificial Neural Network.

[BibT_eX]

[DOI]

Alireza M. Javid

CoRR, 2018

Multi-Kernel Regression for Graph Signal Processing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Extreme Learning Machine for Graph Signal Processing.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Kernel Regression for Signals over Graphs.

[BibT_eX]

[DOI]

CoRR, 2017

Distributed greedy sparse learning over doubly stochastic networks.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

A connectedness constraint for learning sparse graphs.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Hilbert Transform, Analytic Signal, and Modulation Analysis for Graph Signal Processing.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Motion-based segmentation of chest and abdomen region of neonates from videos.

[BibT_eX]

[DOI]

Vishnu Vardhan Makkapati

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

Graph linear prediction results in smaller error than standard linear prediction.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Binaural Signal Processing Motivated Generalized Analytic Signal Construction and AM-FM Demodulation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Fractional Hilbert transform extensions and associated analytic signal construction.

[BibT_eX]

[DOI]

Signal Process., 2014

Auditory-motivated Gammatone wavelet transform.

[BibT_eX]

[DOI]

Aniruddha Adiga

Signal Process., 2014

2013

Temporal Envelope Fit of Transient Audio Signals.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2013

On Computing Amplitude, Phase, and Frequency Modulations Using a Vector Interpretation of the Analytic Signal.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2013

2012

A Technique to Compute Smooth Amplitude, Phase, and Frequency Modulations From the Analytic Signal.

[BibT_eX]

[DOI]