Zobrazeno 1 - 10
of 186
pro vyhledávání: '"hakan erdogan"'
Autor:
Johannes Holle, Marietta Kirchner, Jürgen Okun, Aysun K Bayazit, Lukasz Obrycki, Nur Canpolat, Ipek Kaplan Bulut, Karolis Azukaitis, Ali Duzova, Bruno Ranchin, Rukshana Shroff, Cengiz Candan, Jun Oh, Günter Klaus, Francesca Lugani, Charlotte Gimpel, Rainer Büscher, Alev Yilmaz, Esra Baskin, Hakan Erdogan, Ariane Zaloszyc, Gül Özcelik, Dorota Drozdz, Augustina Jankauskiene, Francois Nobili, Anette Melk, Uwe Querfeld, Franz Schaefer, C Study Consortium
Publikováno v:
PLoS ONE, Vol 15, Iss 10, p e0240446 (2020)
The uremic toxins indoxyl sulfate (IS) and p-cresyl sulfate (pCS) accumulate in patients with chronic kidney disease (CKD) as a consequence of altered gut microbiota metabolism and a decline in renal excretion. Despite of solid experimental evidence
Externí odkaz:
https://doaj.org/article/21d901d7a05b44f09ca5807f9f9267aa
Publikováno v:
The Indian Journal of Pediatrics. 87:1009-1013
Serum cystatin-C (SCysC) and microalbuminuria are well-recognized early markers of renal damage. This study aims to assess whether these early markers are elevated in children with obesity and normal serum creatinine (SCr). Pediatric patients diagnos
Autor:
Hakan Erdogan, Berkay Topcu
Publikováno v:
Pattern Recognition. 88:409-420
Fingerprint minutiae information is an unordered and variable-sized collection of minutiae locations and orientations. Advanced template protection algorithms which require a fixed-length binary template cannot operate on minutiae points. In this pap
Autor:
Hakan Erdogan
Publikováno v:
Soft matter. 17(20)
Different approaches are taken in order to examine the spontaneous arrangement processes of dipeptide structures. One of these approaches is to examine the effects of common cations on dipeptide structures’ self-assembly processes. In this study, t
Autor:
Naoyuki Kanda, Maokui He, Shinji Watanabe, Jinyu Li, Zili Huang, Zhuo Chen, Jun Du, Scott Wisdom, John R. Hershey, Pavel Denisov, Desh Raj, Hakan Erdogan, Yi Luo, Takuya Yoshioka
Publikováno v:
SLT
Multi-speaker speech recognition of unsegmented recordings has diverse applications such as meeting transcription and automatic subtitle generation. With technical advances in systems dealing with speech separation, speaker diarization, and automatic
The recently-proposed mixture invariant training (MixIT) is an unsupervised method for training single-channel sound separation models in the sense that it does not require ground-truth isolated reference sources. In this paper, we investigate using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf9ee4bab7cfd1f6806f1099c78479ca
Publikováno v:
ICASSP
We present an end-to-end deep network model that performs meeting diarization from single-channel audio recordings. End-to-end diarization models have the advantage of handling speaker overlap and enabling straightforward handling of discriminative t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::615b36526c772878d3560d71bb6cf9e7
Polymer-based materials such as surgical suture threads are the most important raw materials used in the manufacturing of medical devices. Determination of metal contamination in industrial surgical threads such as absorbable polydioxanone (PDO) and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d8b0ce9af8bdd956b9ee536db6ceda8
https://avesis.gazi.edu.tr/publication/details/fedc5aad-8445-453e-8c93-ff4c63198cde/oai
https://avesis.gazi.edu.tr/publication/details/fedc5aad-8445-453e-8c93-ff4c63198cde/oai
Autor:
Romain Serizel, Hakan Erdogan, Justin Salamon, Nicolas Turpault, John R. Hershey, Scott Wisdom, Eduardo Fonseca, Prem Seetharaman
Publikováno v:
ICASSP
ICASSP 2021-46th International Conference on Acoustics, Speech, and Signal Processing
ICASSP 2021-46th International Conference on Acoustics, Speech, and Signal Processing, Jun 2021, Toronto/Virtual, Canada. ⟨10.1109/ICASSP39728.2021.9414789⟩
ICASSP 2021-46th International Conference on Acoustics, Speech, and Signal Processing
ICASSP 2021-46th International Conference on Acoustics, Speech, and Signal Processing, Jun 2021, Toronto/Virtual, Canada. ⟨10.1109/ICASSP39728.2021.9414789⟩
International audience; We propose a benchmark of state-of-the-art sound event detection systems (SED). We designed synthetic evaluation sets to focus on specific sound event detection challenges. We analyze the performance of the submissions to DCAS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd9b83c1e445912a1a4566dae921c839
https://hal.inria.fr/hal-02984675/document
https://hal.inria.fr/hal-02984675/document
Publikováno v:
ICASSP
Time-domain audio separation networks based on dilated temporal convolutions have recently been shown to perform very well compared to methods that are based on a time-frequency representation in speech separation tasks, even outperforming an oracle