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Audio Based Violent Scene Classification Using Ensemble Learning
(2018)In this paper, we deal with the problem of violent scene detection. Although visual signal has been widely used in detection of violent scenes from video data, audio modality; on the other hand, has not been explored as ... -
Audio Captioning Based on Combined Audio and Semantic Embeddings
(2020)Audio captioning is a recently proposed task for automatically generating a textual description of a given audio clip. Most existing approaches use the encoder-decoder model without using semantic information. In this ... -
Audio Captioning with Composition of Acoustic and Semantic Information
(2021)Generating audio captions is a new research area that combines audio and natural language processing to create meaningful textual descriptions for audio clips. To address this problem, previous studies mostly use the ... -
Audio-based Event Detection in Office Live Environments Using Optimized MFCC-SVM Approach
(2015)Audio data contains several sounds and is an important source for multimedia applications. One of them is unstructured Environmental Sounds (also referred to as audio events) that have noise-like characteristics with flat ... -
Audio-Vestibular Findings in Increased Intracranial Hypertension Syndrome
(2017)OBJECTIVE: Idiopathic intracranial hypertension (IIH) can be manifested by audiological and vestibular complaints. The aim of the present study is to determine the audio-vestibular pathologies and their pathophysiologies ... -
Audiological and vestibular measurements in Behcet's disease
(2019)IntroductionBehcet's disease (BD) is a vasculitis that involves all small vessels and influences the multiple systems of the human body. This study aimed to evaluate the audio-vestibular system involvement of patients with ... -
Audiovestibular Dysfunction in Patients with Fibromyalgia Syndrome
(2021)OBJECTIVES: Fibromyalgia syndrome is a disorder of widespread pain with unknown etiology. These patients frequently suffer from otologic complaints. This study aims to analyze the audiovestibular functions in patients with ... -
Auditory Brainstem Implant in Postlingual Postmeningitic Patients
(2016)Objectives/HypothesisThe aim of this study was to evaluate outcomes of postlingual postmeningitic patients who received an auditory brainstem implant (ABI). Study DesignRetrospective analysis was performed on postlingual ... -
Author Recognition from Lyrics
(2015)Music information retrieval has been an important task due to the wide use of internet and related technologies for entertainment. In previous studies, the problem has been considered using the meta-data or melodic content. ... -
Authors at the boundary: Interaction of local and general scientific literature
(2018)How a scientific literature is shaped both at the local and general level is an important question to answer. One practical way of achieving this task is to identify the roles played by authors (academicians) as actors ... -
Autologous Hematopoietic Progenitor Cell Mobilization and Collection in Adult Patients Presenting with Multiple Myeloma and Lymphoma: A Position-Statement from The Turkish Society of Apheresis (TSA)
(2017)Autologous hematopoietic cell transplantation (AHCT) is a routinely used procedure in the treatment of adult patients presenting with multiple myeloma (MM), Hodgkin lymphoma (HL) and various subtypes of non-Hodgkin lymphoma ... -
Automated Audio Captioning with Acoustic and Semantic Feature Representation
(Başkent Üniversitesi Fen Bilimleri Enstitüsü, 2023)Today, audio data is increasing rapidly with the developing technology and the increasing amount of data. Therefore, there is a need for understanding and interpretation of the content of audio data by human-like systems. ... -
Automated Extraction of Photorealistic Facade Textures from Single Ground-Level Building Images
(2014)An integrated approach is presented for the automatic extraction of photorealistic facade textures from single street-level building images. The initial facade texture is extracted using Watershed segmentation. The seed ... -
Automated Fracture Detection in the Ulna and Radius Using Deep Learning on Upper Extremity Radiographs
(2023)Objectives: This study aimed to detect single or multiple fractures in the ulna or radius using deep learning techniques fed on upper-extremity radiographs. Materials and methods: The data set used in the retrospective ...
