Zobrazeno 1 - 10
of 39
pro vyhledávání: '"H. Altay Güvenir"'
Publikováno v:
ESEM
International Symposium on Empirical Software Engineering and Measurement
International Symposium on Empirical Software Engineering and Measurement
Date of Conference: 19-20 September 2019 Conference Name: 13th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2019 Background: Selecting the ideal code reviewer in modern code review is a crucial first step t
Autor:
H. Altay Güvenir, Andreas Goette, Ergun Karaagaoglu, Sercan Okutucu, Deniz Katircioglu-Öztürk, Thomas Meinertz, Ali Oto, Emre Oto
Publikováno v:
EP Europace
Aims: The aims of this study include (i) pursuing data-mining experiments on the Angiotensin II-Antagonist in Paroxysmal Atrial Fibrillation (ANTIPAF-AFNET 2) trial dataset containing atrial fibrillation (AF) burden scores of patients with many clini
Autor:
Murat Cakir, H. Altay Güvenir
Publikováno v:
Expert Systems with Applications
Expert Systems with Applications: an international journal
Expert Systems with Applications: an international journal
Cataloged from PDF version of article. Voting features based classifiers. shortly VFC. have been shown to perform well on most real-world data sets They are robust to irrelevant features and missing feature values. In this paper, we introduce an exte
Autor:
Ursula Ravens, Claire Poulet, Torsten Christ, Ali Oto, Niels Voigt, Simone Mueller Loose, Jana Simon, Agnes Stein, Emre Oto, Michael Knaut, Deniz Katircioglu-Öztürk, Erich Wettwer, Klaus Matschke, Dobromir Dobrev, H. Altay Güvenir
Publikováno v:
Medical & Biological Engineering & Computing
Ex vivo recorded action potentials (APs) in human right atrial tissue from patients in sinus rhythm (SR) or atrial fibrillation (AF) display a characteristic spike-and-dome or triangular shape, respectively, but variability is huge within each rhythm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b08b68f7826e11710d2d17c8a52592c
https://hdl.handle.net/11693/26684
https://hdl.handle.net/11693/26684
Autor:
H. Altay Güvenir, Ilyas Cicekli
Publikováno v:
Applied Intelligence. 15:57-76
A mechanism for learning lexical correspondences between two languages from sets of translated sentence pairs is presented. These lexical level correspondences are learned using analogical reasoning between two translation examples. Given two transla
Autor:
H. Altay Güvenir, Ilhan Uysal
Publikováno v:
The Knowledge Engineering Review. 14:319-340
Predicting or learning numeric features is called regression in the statistical literature, and it is the subject of research in both machine learning and statistics. This paper reviews the important techniques and algorithms for regression developed
Autor:
H. Altay Güvenir, Izzet Sirin
Publikováno v:
Machine Learning. 23:47-67
This paper presents a new form of exemplar-based learning, based on a representation scheme called feature partitioning, and a particular implementation of this technique called CFP (for Classification by Feature Partitioning). Learning in CFP is acc
Publikováno v:
Concurrent Engineering: Research and Applications
Distributed artificial intelligence attempts to integrate and coordinate the activities of multiple, intelligent problem solvers that come together to solve complex tasks in domains such as design, medical diagnosis, business management, and so on Du
Autor:
H. Altay Güvenir, Faruk Polat
Publikováno v:
Expert Systems. 8:251-259
Knowledge base verification, a part of the validation process in expert system development, includes checking the knowledge base for completeness and consistency to guard against a variety of errors that can arise during the process of transferring e
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540368434
Advances in Case-Based Reasoning
Advances in Case-Based Reasoning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7677383cce564fa38c0480065b4973a
https://doi.org/10.1007/11805816
https://doi.org/10.1007/11805816