Search Results - "Gabbouj, Moncef"

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks by Ince, Turker, Kiranyaz, Serkan, Eren, Levent, Askar, Murat, Gabbouj, Moncef

“…Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two…”
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Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transform by Samiee, Kaveh, Kovacs, Peter, Gabbouj, Moncef

“…A system for epileptic seizure detection in electroencephalography (EEG) is described in this paper. One of the challenges is to distinguish rhythmic…”
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Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks by Abdeljaber, Osama, Avci, Onur, Kiranyaz, Serkan, Gabbouj, Moncef, Inman, Daniel J.

“…Structural health monitoring (SHM) and vibration-based structural damage detection have been a continuous interest for civil, mechanical and aerospace…”
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A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications by Avci, Onur, Abdeljaber, Osama, Kiranyaz, Serkan, Hussein, Mohammed, Gabbouj, Moncef, Inman, Daniel J.

“…•The transition from traditional methods to ML and DL has never been discussed for vibration-based SDD.•This paper aims to fulfill this gap.•Traditional…”
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Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias by Kiranyaz, Serkan, Ince, Turker, Gabbouj, Moncef

“…Each year more than 7 million people die from cardiac arrhythmias. Yet no robust solution exists today to detect such heart anomalies right at the moment they…”
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Operational neural networks by Kiranyaz, Serkan, Ince, Turker, Iosifidis, Alexandros, Gabbouj, Moncef

“…Feed-forward, fully connected artificial neural networks or the so-called multi-layer perceptrons are well-known universal approximators. However, their…”
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Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval by Guanqun Cao, Iosifidis, Alexandros, Ke Chen, Gabbouj, Moncef

“…In this paper, the problem of multi-view embedding from different visual cues and modalities is considered. We propose a unified solution for subspace learning…”
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Epileptic seizure detection in long-term EEG records using sparse rational decomposition and local Gabor binary patterns feature extraction by Samiee, Kaveh, Kovács, Péter, Gabbouj, Moncef

“…In this paper, we address the problem of off-line supervised detection of epileptic seizures in long-term Electroencephalography (EEG) records. A novel feature…”
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1-D Convolutional Neural Networks for Signal Processing Applications by Kiranyaz, Serkan, Ince, Turker, Abdeljaber, Osama, Avci, Onur, Gabbouj, Moncef

“…1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific…”
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Evolutionary artificial neural networks by multi-dimensional particle swarm optimization by Kiranyaz, Serkan, Ince, Turker, Yildirim, Alper, Gabbouj, Moncef

“…In this paper, we propose a novel technique for the automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s)…”
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Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering by Raitoharju, Jenni, Kiranyaz, Serkan, Gabbouj, Moncef

“…In training radial basis function neural networks (RBFNNs), the locations of Gaussian neurons are commonly determined by clustering. Training inputs can be…”
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Variance-preserving deep metric learning for content-based image retrieval by Passalis, Nikolaos, Iosifidis, Alexandros, Gabbouj, Moncef, Tefas, Anastasios

“…•Discriminative metric learning can remove valuable information from a representation.•A regularized discriminative deep metric learning method is…”
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Voice Conversion Using Partial Least Squares Regression by Helander, Elina, Virtanen, Tuomas, Nurminen, Jani, Gabbouj, Moncef

“…Voice conversion can be formulated as finding a mapping function which transforms the features of the source speaker to those of the target speaker. Gaussian…”
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Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision by Queralta, Jorge Pena, Taipalmaa, Jussi, Can Pullinen, Bilge, Sarker, Victor Kathan, Nguyen Gia, Tuan, Tenhunen, Hannu, Gabbouj, Moncef, Raitoharju, Jenni, Westerlund, Tomi

“…Search and rescue (SAR) operations can take significant advantage from supporting autonomous or teleoperated robots and multi-robot systems. These can aid in…”
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Mid-price prediction based on machine learning methods with technical and quantitative indicators by Ntakaris, Adamantios, Kanniainen, Juho, Gabbouj, Moncef, Iosifidis, Alexandros

“…Stock price prediction is a challenging task, in which machine learning methods have recently been successfully used. In this paper, we extract over 270…”
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Early Detection of Myocardial Infarction in Low-Quality Echocardiography by Degerli, Aysen, Zabihi, Morteza, Kiranyaz, Serkan, Hamid, Tahir, Mazhar, Rashid, Hamila, Ridha, Gabbouj, Moncef

“…Myocardial infarction (MI), or commonly known as heart attack , is a life-threatening health problem worldwide from which 32.4 million people suffer each year…”
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Real-Time Glaucoma Detection From Digital Fundus Images Using Self-ONNs by Devecioglu, Ozer Can, Malik, Junaid, Ince, Turker, Kiranyaz, Serkan, Atalay, Eray, Gabbouj, Moncef

“…Glaucoma leads to permanent vision disability by damaging the optical nerve that transmits visual images to the brain. The fact that glaucoma does not show any…”
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Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks by Ahishali, Mete, Kiranyaz, Serkan, Ince, Turker, Gabbouj, Moncef

“…Accurate land use/land cover classification of synthetic aperture radar (SAR) images plays an important role in environmental, economic, and nature related…”
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Competitive Quantization for Approximate Nearest Neighbor Search by Ozan, Ezgi Can, Kiranyaz, Serkan, Gabbouj, Moncef

“…In this study, we propose a novel vector quantization algorithm for Approximate Nearest Neighbor (ANN) search, based on a joint competitive learning strategy…”
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Classification of polarimetric SAR images using compact convolutional neural networks by Ahishali, Mete, Kiranyaz, Serkan, Ince, Turker, Gabbouj, Moncef

“…Classification of polarimetric synthetic aperture radar (PolSAR) images is an active research area with a major role in environmental applications. The…”
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