• Tweet sentiment analysis for cryptocurrencies 

  Şaşmaz, Emre; Tek, Faik Boray (IEEE, 2021-10-13)

  Many traders believe in and use Twitter tweets to guide their daily cryptocurrency trading. In this project, we investigated the feasibility of automated sentiment analysis for cryptocurrencies. For the study, we targeted ...

• Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples 

  Tuna, Ömer Faruk; Çatak, Ferhat Özgür; Eskil, Mustafa Taner (Springer, 2022-02-18)

  Deep neural network (DNN) architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully crafted perturbations of the input, ...

• BinBRO: Binary Battle Royale optimizer algorithm 

  (Rahkar Farshi), Taymaz Akan; Agahian, Saeid; Dehkharghani, Rahim (Elsevier Ltd, 2022-02-04)

  Stochastic methods attempt to solve problems that cannot be solved by deterministic methods with reasonable time complexity. Optimization algorithms benefit from stochastic methods; however, they do not guarantee to obtain ...

• ISIKUN at the FinCausal 2020: Linguistically informed machine-learning approach for causality identification in financial documents 

  Özenir, Hüseyin Gökberk; Karadeniz, İlknur (Association for Computational Linguistics (ACL), 2020)

  This paper presents our participation to the FinCausal-2020 Shared Task whose ultimate aim is to extract cause-effect relations from a given financial text. Our participation includes two systems for the two sub-tasks of ...

• Evaluating the English-Turkish parallel treebank for machine translation 

  Görgün, Onur; Yıldız, Olcay Taner (Tubitak Scientific & Technical Research Council Turkey, 2022)

  This study extends our initial efforts in building an English-Turkish parallel treebank corpus for statistical machine translation tasks. We manually generated parallel trees for about 17K sentences selected from the Penn ...

• On the online coalition structure generation problem 

  Flammini, Michele; Monaco, Gianpiero; Moscardelli, Luca; Shalom, Mordechai; Zaks, Shmuel (AI Access Foundationusc Information Sciences Inst, 2021)

  We consider the online version of the coalition structure generation problem, in which agents, corresponding to the vertices of a graph, appear in an online fashion and have to be partitioned into coalitions by an authority ...

• Machine learning 

  Yıldız, Olcay Taner (Institution of Engineering and Technology, 2020-01-01)

  [No abstract available]

• A FST description of noun and verb morphology of Azarbaijani Turkish 

  Ehsani, Razieh; Özenç, Berke; Solak, Ercan (Association for Computational Linguistics (ACL), 2021)

  We give a FST description of nominal and finite verb morphology of Azarbaijani Turkish. We use a hybrid approach where nominal inflection is expressed as a slot-based paradigm and major parts of verb inflection are expressed ...

• On the maximum cardinality cut problem in proper interval graphs and related graph classes 

  Boyacı, Arman; Ekim, Tınaz; Shalom, Mordechai (Elsevier B.V., 2021-10-30)

  Although it has been claimed in two different papers that the maximum cardinality cut problem is polynomial-time solvable for proper interval graphs, both of them turned out to be erroneous. In this work we consider the ...

• Unsupervised textile defect detection using convolutional neural networks 

  Koulali, Imane; Eskil, Mustafa Taner (Elsevier Ltd, 2021-12)

  In this study, we propose a novel motif-based approach for unsupervised textile anomaly detection that combines the benefits of traditional convolutional neural networks with those of an unsupervised learning paradigm. It ...

• Çizge evrişim ağı kullanarak patojen-konak ağlarında protein etkileşim tahmini 

  Koca, Mehmet Burak; Karadeniz, İlknur; Nourani, Esmaeil; Sevilgen, Fatih Erdoğan (IEEE, 2021-06-09)

  Proteinler yaşamsal faaliyetlerin gerçekleşmesinde kritik rol oynayan biyolojik moleküllerdir. Konak canlı proteinleri ile patojen proteinleri arasındaki etkileşimler patojenkonak etkileşim (PHI) ağlarını oluşturmaktadır. ...

• A mobile app that uses neurofeedback and multi-sensory learning methods improves reading abilities in dyslexia: A pilot study 

  Eroǧlu, Günet; Teber, Serap Tıraş; Ertürk, Kardelen; Kırmızı, Meltem; Ekici, Barış; Arman, Fehim; Balcısoy, Selim Saffet; Özcan, Yusuf Ziya; Çetin, Müjdat (Routledge, 2021)

  Reading comprehension is difficult to improve for children with dyslexia because of the continuing demands of orthographic decoding in combination with limited working memory capacity. Children with dyslexia get special ...

• Hierarchical b-Matching 

  Emek, Yuval; Kutten, Shay; Shalom, Mordechai; Zaks, Shmuel (Springer Science and Business Media Deutschland GmbH, 2021)

  A matching of a graph is a subset of edges no two of which share a common vertex, and a maximum matching is a matching of maximum cardinality. In a b-matching every vertex v has an associated bound bv, and a maximum ...

• Uyarlanır yerel bağlı katman kullanan dikkat tabanlı derin ağ ile sesli komut tanıma 

  Turkan, Yasemin; Tek, Faik Boray (Institute of Electrical and Electronics Engineers Inc., 2020-10-05)

  Sesli komut tanıma insan-makine ara yüzüyle ilişkili aktif bir araştırma konusudur. Dikkat tabanlı derin ağlar ile bu tür problemler başarılı bir şekilde çözülebilmektedir. Bu çalışmada, var olan bir dikkat tabanlı derin ...

• Adaptive convolution kernel for artificial neural networks 

  Tek, Faik Boray; Çam, İlker; Karlı, Deniz (Academic Press Inc., 2021-02)

  Many deep neural networks are built by using stacked convolutional layers of fixed and single size (often 3 × 3) kernels. This paper describes a method for learning the size of convolutional kernels to provide varying size ...

• Improved microphone array design with statistical speaker verification 

  Demir, Kadir Erdem; Eskil, Mustafa Taner (Elsevier Ltd, 2021-04)

  Conventional microphone array implementations aim to lock onto a source with given location and if required, tracking it. It is a challenge to identify the intended source when the location of the source is unknown and ...

• Türkçe WordNet oluşturulması ve makine çevirisinde kullanılması 

  Yıldız, Olcay Taner (Tübitak, 2019-12)

  Princeton kelime ağının üretilmesinden beri, diğer dillerde birçok kelime ağı üretilmiştir. Türkçe için en kapsamlı kelime ağı olan KeNet şu anda 80,000 synset içermektedir. Bu synsetler birbirleriyle anlamsal ve diller ...

• Uyarlanır yerel bağlı nöron modelinin incelemesi 

  Tek, Faik Boray (2019-04-10)

  Bu çalışmada uyarlanır yerel bağlı (odaklanan) nöron modelinin bir incelemesi sunulmuştur. Öncelikle bu modelin varolan diğer nöron modelleri ile ilişkisi incelenmiştir. Daha sonra modelin ileri beslemede çalışması ve ...

• Crossing minimization in weighted bipartite graphs 

  Çakıroğlu, Olca Arda; Erten, Cesim; Karataş, Ömer; Sözdinler, Melih (Elsevier B.V., 2009-12)

  Given a bipartite graph G = (L0, L1, E) and a fixed ordering of the nodes in L0, the problem of finding an ordering of the nodes in L1 that minimizes the number of crossings has received much attention in literature. The ...

• Creating a syntactically felicitous constituency treebank for Turkish 

  Kara, Neslihan; Marşan, Büşra; Özçelik, Merve; Arıcan, Bilge Nas; Kuzgun, Aslı; Cesur, Neslihan; Aslan, Deniz Baran; Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2020-10-15)

  In this study, Bakay et. al [1] and Yildiz et. al.'s [2] work on Turkish constituency treebanks were developed further. Compared to the previous work, the most prominent feature of this study is the fact that every annotation ...

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