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Toplam kayıt 89, listelenen: 31-40
Context sensitive search engine
(Springer-Verlag Berlin, 2014-10-27)
In this paper, we use context information extracted from the documents in the collection to improve the performance of the search engine. In first step, we extract context using Lucene, DBPedia-Spotlight, and Wordnet. As ...
An all-words sense annotated Turkish corpus
(IEEE, 2018-06-06)
This paper reports our efforts in constructing of a sense labeled Turkish corpus with respect to Turkish Language Institution's dictionary, using the traditional method of manual tagging. We tagged a pre-built parallel ...
Etkileşimli öğrenme ile akciğer tomografi hacim taramalarında nodül tespiti
(Institute of Electrical and Electronics Engineers Inc., 2016-06-20)
Bu bildiride akciğer BT taramalarında otomatik nodül tespiti yapmak üzere geliştirdigimiz yeni ve özgün bir yöntem sunulmaktadır. Önerdiğimiz yöntem, akciğer organına ve belirli bir nodül tipine bağlı kalmaksızın ...
Subset selection for tuning of hyper-parameters in artificial neural networks
(IEEE, 2017)
Hyper-parameters of a machine learning architecture define its design. Tuning of hyper-parameters is costly and for large data sets outright impractical, whether it is performed manually or algorithmically. In this study ...
A new approach for named entity recognition
(IEEE, 2017)
Many sentences create certain impressions on people. These impressions help the reader to have an insight about the sentence via some entities. In NLP, this process corresponds to Named Entity Recognition (NER). NLP ...
A haar classifier based call number detection and counting method for library books
(IEEE, 2018-12-06)
Counting and organization of books in libraries is a routine and time-consuming task The task gets more complicated by misplaced books in shelves. In order to solve these problems, we propose an automated visual call number ...
Detection of DHCP starvation attacks in software defined networks: a case study
(IEEE, 2018-12-06)
Software Defined Networking (SDN) is an emerging concept that maintains and analyzes the network status with its centralized architecture. This facility ensures network operators to monitor and manage the network elements ...
Automated cell nucleus detection for large-volume electron microscopy of neural tissue
(IEEE, 2014-04-29)
Volumetric electron microscopy techniques, such as serial block-face electron microscopy (SBEM), generate massive amounts of image data that are used for reconstructing neural circuits. Typically, this requires time-intensive ...
Animal sound classification using a convolutional neural network
(IEEE, 2018-12-06)
In this paper, we investigate the problem of animal sound classification using deep learning and propose a system based on convolutional neural network architecture. As the input to the network, sound files were preprocessed ...
Constructing a Turkish-English parallel treebank
(Association for Computational Linguistics (ACL), 2014)
In this paper, we report our preliminary efforts in building an English-Turkish parallel treebank corpus for statistical machine translation. In the corpus, we manually generated parallel trees for about 5,000 sentences ...