E-LIB Suche - Ergebnisse für: Florescu, Dorian

1

Constrained Neural Networks for Interpretable Heuristic Cre..:

, In: Mathematical Software – ICMS 2024; Lecture Notes in Computer Science,

Florescu, Dorian ; England, Matthew - p. 186-195 , 2024

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

2

Signal Filtering Using Neuromorphic Measurements:

Florescu, Dorian ; Coca, Daniel
Journal of Low Power Electronics and Applications. 13 (2023) 4 - p. 63 , 2023

Link: https://doi.org/10.3390/..

3

Time Encoding of Sparse Signals with Flexible Filters:

, In: 2023 International Conference on Sampling Theory and Applications (SampTA),

Florescu, Dorian ; Bhandari, Ayush - p. 1-5 , 2023

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

4

Unlimited Sampling of Bandpass Signals: Computational Demod..:

Shtendel, Gal ; Florescu, Dorian ; Bhandari, Ayush
IEEE Transactions on Signal Processing. 71 (2023) - p. 4134-4145 , 2023

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

5

Model-Driven Quantization for Time Encoding Machines:

, In: 2023 International Conference on Sampling Theory and Applications (SampTA),

Florescu, Dorian - p. 1-5 , 2023

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

6

Modulo Event-Driven Sampling: System Identification and Har..:

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

Florescu, Dorian ; Bhandari, Ayush - p. 5747-5751 , 2022

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

7

Unlimited Sampling with Local Averages:

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

Florescu, Dorian ; Bhandari, Ayush - p. 5742-5746 , 2022

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

8

The Surprising Benefits of Hysteresis in Unlimited Sampling..:

Florescu, Dorian ; Krahmer, Felix ; Bhandari, Ayush
IEEE Transactions on Signal Processing. 70 (2022) - p. 616-630 , 2022

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

9

Unlimited Sampling via Generalized Thresholding:

, In: 2022 IEEE International Symposium on Information Theory (ISIT),

Florescu, Dorian ; Bhandari, Ayush - p. 1606-1611 , 2022

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

10

Time Encoding via Unlimited Sampling: Theory, Algorithms an..:

Florescu, Dorian ; Bhandari, Ayush
IEEE Transactions on Signal Processing. 70 (2022) - p. 4912-4924 , 2022

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

11

Unlimited Sampling with Hysteresis:

, In: 2021 55th Asilomar Conference on Signals, Systems, and Computers,

Florescu, Dorian ; Krahmer, Felix ; Bhandari, Ayush - p. 831-835 , 2021

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

12

A Machine Learning Based Software Pipeline to Pick the Vari..:

, In: Lecture Notes in Computer Science; Mathematical Software – ICMS 2020,

Florescu, Dorian ; England, Matthew - p. 302-311 , 2020

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

13

Machine Learning to Improve Cylindrical Algebraic Decomposi..:

, In: Communications in Computer and Information Science; Maple in Mathematics Education and Research,

England, Matthew ; Florescu, Dorian - p. 330-333 , 2020

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

14

Improved Cross-Validation for Classifiers that Make Algorit..:

, In: Mathematical Aspects of Computer and Information Sciences; Lecture Notes in Computer Science,

Florescu, Dorian ; England, Matthew - p. 341-356 , 2020

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

15

Comparing Machine Learning Models to Choose the Variable Or..:

, In: Lecture Notes in Computer Science; Intelligent Computer Mathematics,

England, Matthew ; Florescu, Dorian - p. 93-108 , 2019

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