• 2D Self-organized ONN model for Handwritten Text Recognition 

      Mohammed, Hanadi Hassen; Malik, Junaid; Al-Maadeed, Somaya; Kiranyaz, Serkan ( Elsevier , 2022 , Article)
      Deep Convolutional Neural Networks (CNNs) have recently reached state-of-the-art Handwritten Text Recognition (HTR) performance. However, recent research has shown that typical CNNs' learning performance is limited since ...
    • A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images 

      Khandakar, Amith; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Ali, Sawal H.; Kiranyaz, Serkan; ... more authors ( MDPI , 2022 , Article)
      Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ...
    • An optimized k-NN approach for classification on imbalanced datasets with missing data 

      Ozan, Ezgi Can; Riabchenko, Ekaterina; Kiranyaz, Serkan; Gabbouj, Moncef ( Springer Verlag , 2016 , Conference Paper)
      In this paper, we describe our solution for the machine learning prediction challenge in IDA 2016. For the given problem of 2-class classification on an imbalanced dataset with missing data, we first develop an imputation ...
    • Analysis of High-Dimensional Phase Space via Poincaré Section for Patient-Specific Seizure Detection 

      Zabihi, Morteza; Kiranyaz, Serkan; Rad, Ali Bahrami; Katsaggelos, Aggelos K.; Gabbouj, Moncef; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      In this paper, the performance of the phase space representation in interpreting the underlying dynamics of epileptic seizures is investigated and a novel patient-specific seizure detection approach is proposed based on ...
    • Biosignal time-series analysis 

      Kiranyaz, Serkan; Ince, Turker; Chowdhury, Muhammad E.H.; Degerli, Aysen; Gabbouj, Moncef ( Elsevier , 2022 , Book chapter)
      In this chapter, recent state-of-the-art techniques in biosignal time-series analysis will be presented. We shall start with the problem of patient-specific ECG beat classification where the objective is to discriminate ...
    • Blind ECG Restoration by Operational Cycle-GANs 

      Kiranyaz, Serkan; Devecioglu, Ozer Can; Ince, Turker; Malik, Junaid; Chowdhury, Muhammad; ... more authors ( IEEE Computer Society , 2022 , Article)
      Objective: ECG recordings often suffer from a set of artifacts with varying types, severities, and durations, and this makes an accurate diagnosis by machines or medical doctors difficult and unreliable. Numerous studies ...
    • BM3D VS 2-LAYER ONN 

      Malik, Junaid; Kiranyaz, Serkan; Yamac, Mehmet; Gabbouj, Moncef ( IEEE Computer Society , 2021 , Conference Paper)
      Despite their recent success on image denoising, the need for deep and complex architectures still hinders the practical usage of CNNs. Older but computationally more efficient methods such as BM3D remain a popular choice, ...
    • Classification of SAR Images Using Compact Convolutional Neural Networks 

      Ahishali, Mete; Kiranyaz, Serkan; Gabbouj, Moncef ( Springer , 2022 , Book chapter)
      Classification of SAR images has been an interesting task considering its major role in environmental and natural research areas. Existing studies proposed for Land use/land cover (LU/LC) classification using SAR data can ...
    • Comparison of polarimetric SAR features for terrain classification using incremental training 

      Ince, Turker; Ahishali, Mete; Kiranyaz, Serkan ( Electromagnetics Academy , 2017 , Conference Paper)
      In this study, the most commonly used polarimetric SAR features including the complete coherency (or covariance) matrix information, features obtained from several coherent and incoherent target decompositions, the ...
    • Competitive Quantization for Approximate Nearest Neighbor Search 

      Ozan, Ezgi Can; Kiranyaz, Serkan; Gabbouj, Moncef ( IEEE Computer Society , 2016 , Article)
      In this study, we propose a novel vector quantization algorithm for Approximate Nearest Neighbor (ANN) search, based on a joint competitive learning strategy and hence called as competitive quantization (CompQ). CompQ is ...
    • Convolutional Neural Networks for patient-specific ECG classification 

      Kiranyaz, Serkan; Ince, Turker; Hamila, Ridha; Gabbouj, Moncef ( IEEE , 2015 , Conference Paper)
      We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can fuse feature extraction and ...
    • Cooperative Machine Learning Techniques for Cloud Intrusion Detection 

      Chkirbene, Zina; Hamila, Ridha; Erbad, Aiman; Kiranyaz, Serkan; Al-Emadi, Nasser; ... more authors ( IEEE , 2021 , Conference Paper)
      Cloud computing is attracting a lot of attention in the past few years. Although, even with its wide acceptance, cloud security is still one of the most essential concerns of cloud computing. Many systems have been proposed ...
    • COVID-19 infection map generation and detection from chest X-ray images 

      Degerli, Aysen; Ahishali, Mete; Yamac, Mehmet; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)
      Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep ...
    • D2DLive: Iterative live video streaming algorithm for D2D networks 

      Chkirbene, Zina; Hamila, Ridha; Erbad, Aiman; Kiranyaz, Serkan; Al-Emadi, Nasser ( Elsevier , 2023 , Article)
      Smart healthcare system incorporates new technologies making healthcare more efficient and more convenient. Virtual consultations provide interactions with healthcare professionals via video technology, which lessens the ...
    • Data enrichment in fine-grained classification of aquatic macroinvertebrates 

      Raitoharju, Jenni; Riabchenko, Ekaterina; Meissner, Kristian; Ahmad, Iftikhar; Iosifidis, Alexandros; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      The types and numbers of benthic macroinverte-brates found in a water body reflect water quality. Therefore, macroinvertebrates are routinely monitored as a part of freshwater ecological quality assessment. The collected ...
    • Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature 

      Khandakar, Amith; Mahmud, Sakib; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Kiranyaz, Serkan; ... more authors ( MDPI , 2022 , Article)
      An intelligent insole system may monitor the individual's foot pressure and temperature in real-time from the comfort of their home, which can help capture foot problems in their earliest stages. Constant monitoring for ...
    • Detection of atrial fibrillation in ECG hand-held devices using a random forest classifier 

      Zabihi, M.; Zabihi, Morteza; Rad, Ali Bahrami; Katsaggelos, Aggelos K.; Kiranyaz, Serkan; ... more authors ( IEEE Computer Society , 2017 , Conference Paper)
      Atrial Fibrillation (AF) is characterized by chaotic electrical impulses in the atria, which leads to irregular heartbeats and can develop blood clots and stroke. Therefore, early detection of AF is crucial for increasing ...
    • DSPNet: A Self-ONN Model for Robust DSPN Diagnosis From Temperature Maps 

      Khandakar, Amith; Chowdhury, Muhammad E. H.; Reaz, Mamun Bin Ibne; Kiranyaz, Serkan; Hasan, Anwarul; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      Diabetic sensorimotor polyneuropathy (DSPN) leads to pain, diabetic foot ulceration (DFU), amputation, and death. The diagnosis of advanced DSPN to identify those at risk is key to preventing DFU and amputation. Alterations ...
    • Dual and single polarized sar image classification using compact convolutional neural networks 

      Ahishali, Mete; Kiranyaz, Serkan; Ince, Turker; Gabbouj, Moncef ( MDPI AG , 2019 , Article)
      Accurate land use/land cover classification of synthetic aperture radar (SAR) images plays an important role in environmental, economic, and nature related research areas and applications. When fully polarimetric SAR data ...
    • Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography 

      Degerli, Aysen; Sohrab, Fahad; Kiranyaz, Serkan; Gabbouj, Moncef ( IEEE Computer Society , 2022 , Conference Paper)
      Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early therapeutics of MI can ensure the prevention of further myocardial necrosis. Echocardiography is the fundamental imaging technique ...