Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Ali Taylan Cemgil"'
Autor:
Melih Barsbey, Ali Taylan Cemgil
Publikováno v:
IEEE Access, Vol 11, Pp 85770-85784 (2023)
Accurately representing periodic behavior is a frequently encountered challenge in modeling time series. This is especially true for observations where multiple, nested seasonalities are present, which is often encountered in data that pertain to col
Externí odkaz:
https://doaj.org/article/97dd10a581c84acfba452c7930c06535
Publikováno v:
PLoS ONE, Vol 16, Iss 11, p e0259764 (2021)
Intermittency are a common and challenging problem in demand forecasting. We introduce a new, unified framework for building probabilistic forecasting models for intermittent demand time series, which incorporates and allows to generalize existing me
Externí odkaz:
https://doaj.org/article/07e26be7032e483b8e55ff0aff4b6683
Publikováno v:
SoftwareX, Vol 8, Iss , Pp 21-25 (2018)
In this work we present a real time SIP network simulation and monitoring system. The SIP network simulator is based on a probabilistic generative model that mimics a social network of VoIP subscribers calling each other at random times. The monitori
Externí odkaz:
https://doaj.org/article/2ed6c64f5d274959bf84a60a62f54471
Publikováno v:
SoftwareX, Vol 8, Iss , Pp 33-38 (2018)
With proliferation of smart devices such as smart phones, it is common that an event is recorded by multiple individuals creating several audio and video perspectives. Such user generated content is mostly unorganized (not synchronized). In this work
Externí odkaz:
https://doaj.org/article/b0c2c8db182c406b9f1f2c0c676b1495
Autor:
F. Serhan Daniş, Ali Taylan Cemgil
Publikováno v:
Sensors, Vol 17, Iss 11, p 2484 (2017)
We introduce a high precision localization and tracking method that makes use of cheap Bluetooth low-energy (BLE) beacons only. We track the position of a moving sensor by integrating highly unreliable and noisy BLE observations streaming from multip
Externí odkaz:
https://doaj.org/article/783e6412f0af43df8d48cc855cbde65b
Publikováno v:
User Modeling and User-Adapted Interaction. 32:611-648
Publikováno v:
IEEE Signal Processing Letters. 27:1575-1579
We introduce a fast algorithm for parameter estimation in multidimensional Hawkes processes, a widely used class of temporal point processes for mutually exciting discrete event data. Our approach assumes a low-rank structure on the infectivity param
Publikováno v:
SIU
In this paper, we propose a novel multi-task variational auto encoder (VAE) based approach for joint source separation and classification. The network uses a probabilistic encoder for each sources to map the input data to latent space. The latent re
Publikováno v:
SoftwareX, Vol 8, Iss, Pp 21-25 (2018)
In this work we present a real time SIP network simulation and monitoring system. The SIP network simulator is based on a probabilistic generative model that mimics a social network of VoIP subscribers calling each other at random times. The monitori
Publikováno v:
Digital Signal Processing. 77:48-62
Session Initiation Protocol (SIP), as one the most common signaling mechanism for Voice Over Internet Protocol (VoIP) applications, is a popular target for the flooding-based Distributed Denial of Service (DDoS) attacks. In this paper, we propose a D