E-LIB Suche - Ergebnisse für: Venkitaraman, Arun

1

A Meta-Gnn Approach to Personalized Seizure Detection and C..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Rahmani, Abdellah ; Venkitaraman, Arun ; Frossard, Pascal - p. 1-5 , 2023

2

Knowledge Distillation with Graph Neural Networks for Epile..:

, In: Lecture Notes in Computer Science; Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track,

Zheng, Qinyue ; Venkitaraman, Arun ; Petravic, Simona. - p. 547-563 , 2023

Link: https://doi.org/10.1007/..

3

Annihilation Filter Approach for Estimating Graph Dynamics ..:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Venkitaraman, Arun ; Frossard, Pascal - p. 5583-5587 , 2022

Link: https://doi.org/10.1109/..

4

Post Hoc Explainability for Time Series Classification: Tow..:

Mochaourab, Rami ; Venkitaraman, Arun ; Samsten, Isak..
IEEE Signal Processing Magazine. 39 (2022) 4 - p. 119-129 , 2022

Link: https://doi.org/10.1109/..

5

Gaussian Processes Over Graphs:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Venkitaraman, Arun ; Chatterjee, Saikat ; Handel, Peter - p. 5640-5644 , 2020

Link: https://doi.org/10.1109/..

6

High-dimensional neural feature design for layer-wise reduc..:

Javid, Alireza M. ; Venkitaraman, Arun ; Skoglund, Mikael.
EURASIP Journal on Advances in Signal Processing. 2020 (2020) 1 - p. , 2020

Link: https://doi.org/10.1186/..

7

Recursive Prediction of Graph Signals With Incoming Nodes:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Venkitaraman, Arun ; Chatterjee, Saikat ; Wahlberg, Bo - p. 5565-5569 , 2020

Link: https://doi.org/10.1109/..

8

High-Dimensional Neural Feature Using Rectified Linear Unit..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Javid, Alireza M. ; Venkitaraman, Arun ; Skoglund, Mikael. - p. 4237-4241 , 2020

Link: https://doi.org/10.1109/..

9

Learning Sparse Graphs for Prediction of Multivariate Data ..:

Venkitaraman, Arun ; Zachariah, Dave
IEEE Signal Processing Letters. 26 (2019) 3 - p. 495-499 , 2019

Link: https://doi.org/10.1109/..

10

On Hilbert transform, analytic signal, and modulation analy..:

Venkitaraman, Arun ; Chatterjee, Saikat ; Händel, Peter
Signal Processing. 156 (2019) - p. 106-115 , 2019

Link: https://doi.org/10.1016/..

11

Binaural Signal Processing Motivated Generalized Analytic S..:

Venkitaraman, Arun ; Seelamantula, Chandra Sekhar
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 22 (2014) 6 - p. 1023-1036 , 2014

Link: https://doi.org/10.1109/..

12

Fractional Hilbert transform extensions and associated anal..:

Venkitaraman, Arun ; Seelamantula, Chandra Sekhar
Signal Processing. 94 (2014) - p. 359-372 , 2014

Link: https://doi.org/10.1016/..

13

Auditory-motivated Gammatone wavelet transform:

Venkitaraman, Arun ; Adiga, Aniruddha ; Seelamantula, Chandra Sekhar
Signal Processing. 94 (2014) - p. 608-619 , 2014

Link: https://doi.org/10.1016/..

14

Binaural signal processing motivated generalized analytic s..:

Venkitaraman, Arun ; Seelamantula, Chandra Sekhar
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP). 22 (2014) 6 - p. 1023-1036 , 2014

Link: https://dl.acm.org/doi/1..

15

Knowledge-Distilled Graph Neural Networks for Personalized ..:

Zheng, Qinyue ; Venkitaraman, Arun ; Petravic, Simona.
http://arxiv.org/abs/2304.06038. , 2023

Link: http://arxiv.org/abs/230..