Browsing by Author "Iosifidis A."

Now showing items 1-13 of 13

    • 3D Quantum Cuts for automatic segmentation of porous media in tomography images 

      Malik J.; Kiranyaz, Mustafa Serkan; Al-Raoush R.I.; Monga O.; Garnier P.; ... more authors ( Elsevier Ltd , 2022 , Article)
      Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales. Contemporary work primarily revolves ...

    • Acceleration Approaches for Big Data Analysis 

      Muravev A.; Tran D.T.; Iosifidis A.; Kiranyaz S.; Gabbouj M. ( IEEE Computer Society , 2018 , Conference Paper)
      The massive size of data that needs to be processed by Machine Learning models nowadays sets new challenges related to their computational complexity and memory footprint. These challenges span all processing steps involved ...

    • Benchmark database for fine-grained image classification of benthic macroinvertebrates 

      Raitoharju J.; Riabchenko E.; Ahmad I.; Iosifidis A.; Gabbouj M.; ... more authors ( Elsevier Ltd , 2018 , Article)
      Managing the water quality of freshwaters is a crucial task worldwide. One of the most used methods to biomonitor water quality is to sample benthic macroinvertebrate communities, in particular to examine the presence and ...

    • Exploiting heterogeneity in operational neural networks by synaptic plasticity 

      Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)
      The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogenous network ...

    • Heterogeneous Multilayer Generalized Operational Perceptron 

      Tran D.T.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Iosifidis A. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      The traditional multilayer perceptron (MLP) using a McCulloch-Pitts neuron model is inherently limited to a set of neuronal activities, i.e., linear weighted sum followed by nonlinear thresholding step. Previously, generalized ...

    • Human experts vs. machines in taxa recognition 

      Arje J.; Raitoharju J.; Iosifidis A.; Tirronen V.; Meissner K.; ... more authors ( Elsevier B.V. , 2020 , Article)
      The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is still met with expert scepticism towards ...

    • Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons 

      Tran D.T.; Kiranyaz S.; Gabbouj M.; Iosifidis A. ( IEEE Computer Society , 2019 , Conference Paper)
      Face verification is a prominent biometric technique for identity authentication that has been used extensively in several security applications. In practice, face verification is often performed along with other visual ...

    • Operational neural networks 

      Kiranyaz, Mustafa Serkan; Ince T.; Iosifidis A.; Gabbouj M. ( Springer , 2020 , Article)
      Feed-forward, fully connected artificial neural networks or the so-called multi-layer perceptrons are well-known universal approximators. However, their learning performance varies significantly depending on the function ...

    • Progressive Operational Perceptrons 

      Kiranyaz, Mustafa Serkan; Ince T.; Iosifidis A.; Gabbouj M. ( Elsevier B.V. , 2017 , Article)
      There are well-known limitations and drawbacks on the performance and robustness of the feed-forward, fully-connected Artificial Neural Networks (ANNs), or the so-called Multi-Layer Perceptrons (MLPs). In this study we ...

    • Progressive Operational Perceptrons with Memory 

      Tran D.T.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Iosifidis A. ( Elsevier B.V. , 2020 , Article)
      Generalized Operational Perceptron (GOP) was proposed to generalize the linear neuron model used in the traditional Multilayer Perceptron (MLP) by mimicking the synaptic connections of biological neurons showing nonlinear ...

    • PyGOP: A Python library for Generalized Operational Perceptron algorithms 

      Tran D.T.; Kiranyaz S.; Gabbouj M.; Iosifidis A. ( Elsevier B.V. , 2019 , Article)
      PyGOP provides a reference implementation of existing algorithms using Generalized Operational Perceptron (GOP), a recently proposed artificial neuron model. The implementation adopts a user-friendly interface while allowing ...

    • Self-organized Operational Neural Networks with Generative Neurons 

      Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; ... more authors ( Elsevier Ltd , 2021 , Article)
      Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as network homogeneity with the sole linear neuron ...

    • Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer 

      Soltanian M.; Malik J.; Raitoharju J.; Iosifidis A.; Kiranyaz, Mustafa Serkan; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Automatic classification of speech commands has revolutionized human computer interactions in robotic applications. However, employed recognition models usually follow the methodology of deep learning with complicated ...