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Fashion image retrieval with capsule networks
(IEEE, 2019)
In this study, we investigate in-shop clothing retrieval performance of densely-connected Capsule Networks with dynamic routing. To achieve this, we propose Triplet-based design of Capsule Network architecture with two ...
Evaluating the effectiveness of multi-level greedy modularity clustering for software architecture recovery
(Springer Nature, 2019)
Software architecture recovery approaches mainly analyze various types of dependencies among software modules to group them and reason about the high-level structural decomposition of a system. These approaches employ a ...
Yapay yaşam simülasyonunda hayatta kalmak
(IEEE, 2017)
Yapay yaşam, doğal yaşamdaki mekanizmaları bilgisayar ortamında taklit ederek bir yandan canlılık hakkında yeni bilgiler üretirken, diğer yandan ise mühendislik alanlarına katkı vermektedir. Bu makale geliştirdiğimiz yapay ...
Software UART: A use case for VSCPU worst-case execution time analyzer
(IEEE, 2019)
This paper presents our early results of the development of a Worst-Case Execution Time (WCET) analyzer for VSCPU by implementing a software UART system. Our WCET analyzer takes a C program as input and gives the time taken ...
Incremental analysis of large-scale system logs for anomaly detection
(IEEE, 2019)
Anomalies during system execution can be detected by automated analysis of logs generated by the system. However, large scale systems can generate tens of millions of lines of logs within days. Centralized implementations ...
Bandwidth prediction in low-latency chunked streaming
(The ACM Digital Library, 2019-06)
HTTP adaptive streaming with chunked transfer encoding can be used to offer low-latency streaming without sacrificing the coding efficiency. While this allows a media segment to be generated and delivered at the same time, ...
Evaluation of distributed machine learning algorithms for anomaly detection from large-scale system logs: a case study
(IEEE, 2018)
Anomaly detection is a valuable feature for detecting and diagnosing faults in large-scale, distributed systems. These systems usually provide tens of millions of lines of logs that can be exploited for this purpose. ...
Towards a testing framework with visual feedback for actor-based systems
(IEEE, 2018-08-02)
We introduce a prototype testing framework as an extension of JUnit for testing actor-based systems. Our framework runs a given JUnit test in various schedules and records the execution trace for each run. In case a failure ...
Variational bayesian multiple instance learning with gaussian processes
(IEEE, 2017)
Gaussian Processes (GPs) are effective Bayesian predictors. We here show for the first time that instance labels of a GP classifier can be inferred in the multiple instance learning (MIL) setting using variational Bayes. ...
Networking standards
(IEEE, 2017-12)
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