E-LIB Suche - Ergebnisse für: Baydoğan, Mustafa Gökçe

1

Tree-Based Sequential Sampling for Efficient Designs in Pac..:

, In: 2024 IEEE 28th Workshop on Signal and Power Integrity (SPI),

Ozese, Doganay ; Baydogan, Mustafa Gokce ; Durgun, Ahmet C.. - p. 1-4 , 2024

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

2

A Flexible Neural Network-Based Tool for Package Second Lev..:

, In: 2023 IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS),

Karatoprak, Furkan ; Sacin, Ekin Su ; Ozese, Doganay... - p. 1-3 , 2023

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

3

nTreeClus: A tree-based sequence encoder for clustering cat..:

Jahanshahi, Hadi ; Baydogan, Mustafa Gokce
Neurocomputing. 494 (2022) - p. 224-241 , 2022

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

4

Semi-supervised extensions of multi-task tree ensembles:

Adıyeke, Esra ; Baydoğan, Mustafa Gökçe
Pattern Recognition. 123 (2022) - p. 108393 , 2022

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

5

Multiple instance classification via quadratic programming:

Küçükaşcı, Emel Şeyma ; Baydoğan, Mustafa Gökçe ; Taşkın, Z. Caner
Journal of Global Optimization. 83 (2022) 4 - p. 639-670 , 2022

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

6

Explainable boosted linear regression for time series forec..:

Ilic, Igor ; Görgülü, Berk ; Cevik, Mucahit.
Pattern Recognition. 120 (2021) - p. 108144 , 2021

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

7

An ensemble-based semi-supervised feature ranking for multi..:

Adıyeke, Esra ; Baydoğan, Mustafa Gökçe
Pattern Recognition Letters. 148 (2021) - p. 36-42 , 2021

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

8

Randomized trees for time series representation and similar..:

Görgülü, Berk ; Baydoğan, Mustafa Gökçe
Pattern Recognition. 120 (2021) - p. 108097 , 2021

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

9

The benefits of target relations: A comparison of multitask..:

Adıyeke, Esra ; Baydoğan, Mustafa Gökçe
Pattern Recognition. 107 (2020) - p. 107507 , 2020

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

10

A Data Adaptive Biological Sequence Representation for Supe..:

Cakin, Hande ; Gorgulu, Berk ; Baydogan, Mustafa Gokce..
Journal of Healthcare Informatics Research. 2 (2018) 4 - p. 448-471 , 2018

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

11

Autoregressive forests for multivariate time series modelin:

Tuncel, Kerem Sinan ; Baydogan, Mustafa Gokce
Pattern Recognition. 73 (2018) - p. 202-215 , 2018

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

12

Time series representation and similarity based on local au..:

Baydogan, Mustafa Gokce ; Runger, George
Data Mining and Knowledge Discovery. 30 (2015) 2 - p. 476-509 , 2015

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

13

Learning a symbolic representation for multivariate time se..:

Baydogan, Mustafa Gokce ; Runger, George
Data Mining and Knowledge Discovery. 29 (2014) 2 - p. 400-422 , 2014

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

14

SMT: Sparse multivariate tree:

Deng, Houtao ; Baydogan, Mustafa Gokce ; Runger, George
Statistical Analysis and Data Mining: The ASA Data Science Journal. 7 (2013) 1 - p. 53-69 , 2013

Link: https://doi.org/10.1002/..

15

Bag encoding strategies in multiple instance learning probl..:

Şeyma Küçükaşcı, Emel ; Gökçe Baydoğan, Mustafa
Information Sciences. 467 (2018) - p. 559-578 , 2018

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