Yazar "Sert, Mustafa" için Mühendislik Fakültesi / Faculty of Engineering listeleme
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Acoustic Scene Classification Using Spatial Pyramid Pooling With Convolutional Neural Networks
Basbug, Ahmet Melih; Sert, Mustafa (2019)Automatic understanding of audio events and acoustic scenes has been an active research topic for researchers from signal processing and machine learning communities. Recognition of acoustic scenes in the real life scenarios ... -
Analysis of Deep Neural Network Models for Acoustic Scene Classification
Basbug, Ahmet Melih; Sert, Mustafa (2019)Acoustic Scene Classification is one of the active fields of both audio signal processing and machine learning communities. Due to the uncontrolled environment characteristics and the multiple diversity of environmental ... -
Anomaly Detection in Smart Home Environments using Convolutional Neural Network
Ercan, Naci Mert; Sert, Mustafa (2021)The use of smart devices in home environments has been increasing in recent years. The wireless connection of these devices to the internet enables smart homes to be built with less cost and hence, recognition of activities ... -
Audio Based Violent Scene Classification Using Ensemble Learning
Sarman, Sercan; Sert, Mustafa (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
Eren, Aysegul Ozkaya; Sert, Mustafa (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
Eren, Aysegul Ozkaya; Sert, Mustafa (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
Kucukbay, Selver Ezgi; Sert, Mustafa (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 ... -
Classification of Indoor-Outdoor Location using Blood Oxygen Saturation Signal
Memis, Gokhan; Sert, Mustafa (2018)Wearable technology, one of the most significant trends in the mobile computing evolution, has been changing our daily life. It has become increasingly popular in many different areas such as military, healthcare, ... -
Classification of Obstructive Sleep Apnea using Multimodal and Sigma-based Feature Representation
Memis, Gokhan; Sert, Mustafa (2019)Obstructive sleep apnea (OSA) is a sleep disorder characterized by a decrease in blood oxygen saturation and waking up after a long time. Diagnosis can be made by following a full night with a polysomnogram device, so there ... -
Combining Acoustic and Semantic Similarity for Acoustic Scene Retrieval
Sert, Mustafa; Basbug, Ahmet Melih (2019)Automatic retrieval of acoustic scenes in large audio collections is a challenging task due to the complex structures of these sounds. A robust and flexible retrieval system should address both the acoustic- and semantic ... -
Continuous Valence Prediction Using Recurrent Neural Networks with Facial Expressions and EEG Signals
Sen, Dogancan; Sert, Mustafa (2018)Automatic analysis of human emotions by computer systems is an important task for human-machine interaction. Recent studies show that, the temporal characteristics of emotions play an important role in the success of ... -
Detection of Basic Human Physical Activities With Indoor Outdoor Information Using Sigma-Based Features and Deep Learning
Memis, Gokhan; Sert, Mustafa (2019)The devices created on account of the developments in wearable technology are increasingly becoming a part of our daily lives. In particular, sensors have enhanced the usefulness of such devices. The aim of this paper is ... -
Development of a Decision Support System for Selection of Reviewers to Evaluate Research and Development Projects
Kocak, Serdar; Ic, Yusuf Tansel; Sert, Mustafa; Atalay, Kumru Didem; Dengiz, Berna (2023)The evaluation of Research and Development (R&D) projects consists of many steps depending on the government funding agencies and the support program. It is observed that the reviewer evaluation reports have a crucial ... -
The development of a reviewer selection method: a multi-level hesitant fuzzy VIKOR and TOPSIS approaches
Kocak, Serdar; Ic, Yusuf Tansel; Atalay, Kumru Didem; Sert, Mustafa; Dengiz, Berna (2021)This paper proposes a new approach for the selection of reviewers to evaluate research and development (R&D) projects using a new integrated hesitant fuzzy VIKOR and TOPSIS methodology. A reviewer selection model must have ... -
Early and Late Level Fusion of Deep Convolutional Neural Networks for Visual Concept Recognition
Ergun, Hilal; Akyuz, Yusuf Caglar; Sert, Mustafa; Liu, Jianquan (2016)Visual concept recognition is an active research field in the last decade. Related to this attention, deep learning architectures are showing great promise in various computer vision domains including image classification, ... -
The Effectiveness of Feature Selection Methods on Physical Activity Recognition
Memis, Gokhan; Sert, Mustafa (2018)For the definition of physical activity monitoring with long activity times can be costly and there is a need for efficient computer based algorithms. Smartphone sensors such as accelerometer, magnetometer, and gyroscope ... -
Efficient Bag of Words Based Concept Extraction for Visual Object Retrieval
Ergun, Hilal; Sert, Mustafa (2016)Recent burst of multimedia content available on Internet is pushing expectations on multimedia retrieval systems to even higher grounds. Multimedia retrieval systems should offer better performance both in terms of speed ... -
Efficient Recognition of Human Emotional States from Audio Signals
Erdem, Ernur Sonat; Sert, Mustafa (2014)Automatic recognition of human emotional states is an important task for efficient human-machine communication. Most of existing works focus on the recognition of emotional states using audio signals alone, visual signals ... -
Facial Action Unit Detection using Variable Decision Thresholds
Aksoy, Nukhet; Sert, Mustafa (2016)Detection of facial action units (AUs) is an important research field for recognizing emotional states in facial expressions. Here, we propose a novel, yet effective method, that utilizes variable decision thresholds at ... -
Feature-level Fusion of Convolutional Neural Networks for Visual Object Classification
Ergun, Hilal; Sert, Mustafa (2016)Deep learning architectures have shown great success in various computer vision applications. In this study, we investigate some of the very popular convolutional neural network (CNN) architectures, namely GoogleNet, ...