Başlık için MF - Bildiri Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering listeleme
Toplam kayıt 113, listelenen: 1-20
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Adaptive visual obstacle detection for mobile robots using monocular camera and ultrasonic sensor
(Springer-Verlag, 2012-10-07)This paper presents a novel vision based obstacle detection algorithm that is adapted from a powerful background subtraction algorithm: ViBe (VIsual Background Extractor). We describe an adaptive obstacle detection method ... -
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 ... -
All-words word sense disambiguation for Turkish
(IEEE, 2017)Identifying the sense of a word within a context is a challenging problem and has many applications in natural language processing. This assignment problem is called word sense disambiguation(WSD). Many papers in the ... -
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 ... -
AnlamVer: Semantic model evaluation dataset for Turkish - word similarity and relatedness
(Association for Computational Linguistics (ACL), 2018-08-26)In this paper, we present AnlamVer, which is a semantic model evaluation dataset for Turkish designed to evaluate word similarity and word relatedness tasks while discriminating those two relations from each other. Our ... -
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 ... -
Automatic propbank generation for Turkish
(Incoma Ltd, 2019-09)Semantic role labeling (SRL) is an important task for understanding natural languages, where the objective is to analyse propositions expressed by the verb and to identify each word that bears a semantic role. It provides ... -
Aynı oteli temsil eden farklı kayıtlar için akıllı eşleştirme
(Institute of Electrical and Electronics Engineers Inc., 2019-09)Otel sayısının her geçen gün arttığı turizm sektöründe, aracı firmaların tüm oteller ile ayrı ayrı çalışma imkanı bulunmadığından, firmalar dünya üzerinde bir çok otelle anlaşması bulunan servis sağlayıcılarıyla beraber ... -
Biclustering expression data based on expanding localized substructures
(Springer-Verlag Berlin Heidelberg, 2009)Biclustering gene expression data is the problem of extracting submatrices of genes and conditions exhibiting significant correlation across both the rows and the columns of a data matrix of expression values. We provide ... -
Bilingual software requirements tracing using vector space model
(SciTePress, 2014)In the software engineering world, creating and maintaining relationships between byproducts generated during the software lifecycle is crucial. A typical relation is the one that exists between an item in the requirements ... -
BOUN-ISIK participation: an unsupervised approach for the named entity normalization and relation extraction of Bacteria Biotopes
(Association for Computational Linguistics (ACL), 2019-11-04)This paper presents our participation at the Bacteria Biotope Task of the BioNLP Shared Task 2019. Our participation includes two systems for the two subtasks of the Bacteria Biotope Task: the normalization of entities ... -
Budding trees
(IEEE Computer Soc, 2014-08-24)We propose a new decision tree model, named the budding tree, where a node can be both a leaf and an internal decision node. Each bud node starts as a leaf node, can then grow children, but then later on, if necessary, its ... -
Bulanık mantık kullanılarak sese duyarlı aydınlatma
(IEEE, 2017-10-31)Sanayileşmenin ve teknolojinin gelişmesiyle birlikte, geçmişte çözülememiş olan problemler daha kolay çözülebilir hale gelmiştir. İnsan beyninin çalışma mekanizması çeşitli metotlar halinde bilgisayarlarda uygulanmaya ... -
Calculating the VC-dimension of decision trees
(IEEE, 2009)We propose an exhaustive search algorithm that calculates the VC-dimension of univariate decision trees with binary features. The VC-dimension of the univariate decision tree with binary features depends on (i) the ... -
Categorization of the models based on structural information extraction and machine learning
(Springer Science and Business Media Deutschland GmbH, 2022-07-21)As various engineering fields increasingly use modelling techniques, the number of provided models, their size, and their structural complexity increase. This makes model management, including finding these models, with ... -
Chunking in Turkish with conditional random fields
(Springer-Verlag, 2015-04-14)In this paper, we report our work on chunking in Turkish. We used the data that we generated by manually translating a subset of the Penn Treebank. We exploited the already available tags in the trees to automatically ... -
Colored simultaneous geometric embeddings
(Springer-Verlag Berlin, 2007)We introduce the concept of colored simultaneous geometric embeddings as a generalization of simultaneous graph embeddings with and without mapping. We show that there exists a universal pointset of size n for paths colored ... -
Comparing sense categorization between English propbank and english wordnet
(Oficyna Wydawnicza Politechniki Wroclawskiej, 2020)Given the fact that verbs play a crucial role in language comprehension, this paper presents a study which compares the verb senses in English PropBank with the ones in English WordNet through manual tagging. After analyzing ... -
Comparison of Turkish proposition banks by frame matching
(IEEE, 2018-12-06)By indicating semantic relations between a predicate and its associated participants in a sentence and identifying the role-bearing constituents, SRL provides an extensive dataset to understand natural languages and to ... -
Constructing a Turkish constituency parse treeBank
(Springer Verlag, 2016)In this paper, we describe our initial efforts for creating a Turkish constituency parse treebank by utilizing the English Penn Treebank. We employ a semiautomated approach for annotation. In our previouswork [18], the ...