Zobrazeno 1 - 10
of 1 337
pro vyhledávání: '"Goktas P"'
In the evolving landscape of autonomous vehicles, ensuring robust in-vehicle network (IVN) security is paramount. This paper introduces an advanced intrusion detection system (IDS) called KD-XVAE that uses a Variational Autoencoder (VAE)-based knowle
Externí odkaz:
http://arxiv.org/abs/2410.09043
Autor:
Radha, Santosh Kumar, Goktas, Oktay
Human learning thrives on the ability to learn from mistakes, adapt through feedback, and refine understanding-processes often missing in static machine learning models. In this work, we introduce Composite Learning Units (CLUs) designed to transform
Externí odkaz:
http://arxiv.org/abs/2410.08037
Iterative human engagement is a common and effective means of leveraging the advanced language processing power of large language models (LLMs). Using well-structured prompts in a conversational manner, human users can effectively influence an LLM to
Externí odkaz:
http://arxiv.org/abs/2409.12618
Autor:
Graebener, Josefine B., Badithela, Apurva S., Goktas, Denizalp, Ubellacker, Wyatt, Mazumdar, Eric V., Ames, Aaron D., Murray, Richard M.
Designing tests to evaluate if a given autonomous system satisfies complex specifications is challenging due to the complexity of these systems. This work proposes a flow-based approach for reactive test synthesis from temporal logic specifications,
Externí odkaz:
http://arxiv.org/abs/2404.09888
Zero-sum Markov Stackelberg games can be used to model myriad problems, in domains ranging from economics to human robot interaction. In this paper, we develop policy gradient methods that solve these games in continuous state and action settings usi
Externí odkaz:
http://arxiv.org/abs/2401.12437
Autor:
Birol Ocak, Ahmet Bilgehan Sahin, Ismail Ertürk, Mustafa Korkmaz, Dilek Erdem, Umut Cakıroglu, Mustafa Karaca, Ahmet Dirican, Omer Fatih Olmez, Sabin Goktas Aydın, Ali Gökyer, Ahmet Kücükarda, Ahmet Gülmez, Perran Fulden Yumuk, Nazim Can Demircan, Abdilkerim Oyman, Teoman Sakalar, Fatih Karatas, Hacer Demir, Ayse Irem Yasin, Adem Deligonul, Bahar Dakiki, Mehmet Refik Goktug, Okan Avcı, Seher Yildiz Tacar, Nazım Serdar Turhal, Gülhan Ipek Deniz, Turgut Kacan, Erdem Cubukcu, Türkkan Evrensel
Publikováno v:
Current Oncology, Vol 31, Iss 9, Pp 5195-5205 (2024)
Background: This study aimed to investigate the effect of cytoreductive nephrectomy (CN) on the survival outcomes of nivolumab used as a subsequent therapy after the failure of at least one anti-vascular endothelial growth factor (VEGF) agent in pati
Externí odkaz:
https://doaj.org/article/e3b91b5047204acf948136cd657f8dec
Autor:
Hereman, Willy, Goktas, Unal
A simplified version of Hirota's method for the computation of solitary waves and solitons of nonlinear PDEs is presented. A change of dependent variable transforms the PDE into an equation that is homogeneous of degree. Solitons are then computed us
Externí odkaz:
http://arxiv.org/abs/2307.08888
A prevalent theme in the economics and computation literature is to identify natural price-adjustment processes by which sellers and buyers in a market can discover equilibrium prices. An example of such a process is t\^atonnement, an auction-like al
Externí odkaz:
http://arxiv.org/abs/2306.04890
As quantum computers become increasingly practical, so does the prospect of using quantum computation to improve upon traditional algorithms. Kernel methods in machine learning is one area where such improvements could be realized in the near future.
Externí odkaz:
http://arxiv.org/abs/2305.17707
Autor:
Baker, Jack S., Park, Gilchan, Yu, Kwangmin, Ghukasyan, Ara, Goktas, Oktay, Radha, Santosh Kumar
Supervised time-series classification garners widespread interest because of its applicability throughout a broad application domain including finance, astronomy, biosensors, and many others. In this work, we tackle this problem with hybrid quantum-c
Externí odkaz:
http://arxiv.org/abs/2305.05881