Yazar "0000-0002-7056-4245" 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 ... -
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, ... -
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 ... -
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, ... -
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 Deep Convolutional Neural Networks for Sketch Recognition on Smartphones
Boyaci, Emel; Sert, Mustafa (2017) -
Leveraging Multimodal and Feature Selection Approaches to Improve Sleep Apnea Classification Performance
Memis, Gokhan; Sert, Mustafa; Yazici, Adnan (2017)Obstructive sleep apnea (OSA) is a sleep disorder with long-term adverse effects such as cardiovascular diseases. However, clinical methods, such as polisomnograms, have high monitoring costs due to long waiting times and ... -
Movie Rating Prediction Using Ensemble Learning and Mixed Type Attributes
Ozkaya Eren, Aysegul; Sert, Mustafa (2017)Nowadays, audience can easily share their rating about a movie on the internet. Predicting movie user ratings automatically is specifically valuable for prediction box office gross in the cinema sector. As a result, movie ... -
Multimodal Classification of Obstructive Sleep Apnea using Feature Level Fusion
Memis, Gokhan; Sert, Mustafa (2017)Obstructive sleep apnea (OSA) is a sleep disorder with long-term consequences. Long-term effects include sleep related issues and cardiovascular diseases. OSA is often diagnosed with an overnight sleep test called a ... -
Multimodal Vehicle Type Classification Using Convolutional Neural Network and Statistical Representations of MFCC
Selbes, Berkay; Sert, Mustafa (2017)Recognition of vehicle types in real life traffic scenarios is a challenging task due to the diversity of vehicles and uncontrolled environments. Efficient methods and feature representations are needed to cope with these ... -
Multimodal Video Concept Classification based on Convolutional Neural Network and Audio Feature Combination
Selbes, Berkay; Sert, Mustafa; Sert, Mustafa (2017)Video concept classification is a very important task for several applications such as content based video indexing and searching In this study, we propose a multi-modal video classification method based on the feature-level ... -
Sentiment Analysis on Microblog Data based on Word Embedding and Fusion Techniques
Hayran, Ahmet; Sert, Mustafa (2017)People often use social platforms to state their views and desires. Twitter is one of the most popular microblog service used for this purpose. In this study, we propose a new approach for automatically classifying the ... -
Sketch recognition using transfer learning
Sert, Mustafa; Boyaci, Emel (2019)Humans have an excellent ability to recognize freehand sketch drawings despite their abstract and sparse structures. Understanding freehand sketches with automated methods is a challenging task due to the diversity and ... -
Use of Acoustic and Vibration Sensor Data to Detect Objects in Surveillance Wireless Sensor Networks
Kucukbay, Selver Ezgi; Sert, Mustafa; Yazici, Adnan (2017)Nowadays, people are using stealth sensors to detect intruders due to their low power consumption and wide coverage. It is very important to use lightweight sensors for detecting real time events and taking actions ... -
Video Classification Based on ConvNet Collaboration and Feature Selection
Boyaci, Emel; Sert, Mustafa (2017)Today, video data, as a powerful multimedia component, is accompanied by some problems with increasing usage in communication, health, education, and social media in particular. Classification and detection of concepts in ... -
Visual and Auditory Data Fusion for Energy-Efficient and Improved Object Recognition in Wireless Multimedia Sensor Networks
Koyuncu, Murat; Yazici, Adnan; Civelek, Muhsin; Cosar, Ahmet; Sert, Mustafa (2019)Automatic threat classification without human intervention is a popular research topic in wireless multimedia sensor networks (WMSNs) especially within the context of surveillance applications. This paper explores the ...