Search results for: ACTIVE LEARNING ALGORITHM

• The Role of Dopaminergic Genes in Probabilistic Reinforcement Learning in Schizophrenia Spectrum Disorders

  Publication

  • D. Frydecka
  • B. Misiak
  • P. Piotrowski
  • T. Bielawski
  • E. Pawlak
  • E. Kłosińska
  • M. Krefft
  • K. Al
  • J. Rymaszewska
  • A. Moustafa
  • J. Drapała

  - Brain Sciences - Year 2021

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• Confirmation Bias in the Course of Instructed Reinforcement Learning in Schizophrenia-Spectrum Disorders

  Publication

  • D. Frydecka
  • P. Piotrowski
  • T. Bielawski
  • E. Pawlak
  • E. Kłosińska
  • M. Krefft
  • K. Al
  • J. Rymaszewska
  • A. Moustafa
  • J. Drapała
  • B. Misiak

  - Brain Sciences - Year 2022

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• Deep learning approach for delamination identification using animation of Lamb waves

  Publication

  • S. Ullah
  • A. Ijjeh
  • P. Kudela

  - Engineering Applications of Artificial Intelligence - Year 2023

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• Deep learning super-resolution for the reconstruction of full wavefield of Lamb waves

  Publication

  • A. Ijjeh
  • S. Ullah
  • M. Radzienski
  • P. Kudela

  - Mechanical Systems and Signal Processing - Year 2023

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• OmicSelector: automatic feature selection and deep learning modeling for omic experiments

  Publication

  • K. Stawiski
  • M. Kaszkowiak
  • D. Mikulski
  • P. Hogendorf
  • A. Durczyński
  • J. Strzelczyk
  • D. Chowdhury
  • W. Fendler

  - Year 2022

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• Beesybees-Agent-Based, Adaptive & Learning Workflow Execution Module for BeesyCluster

  Publication

  • P. Czarnul
  • M. Matuszek
  • M. Wójcik
  • K. Z. Zalewski

  - Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne - Year 2010

  Prezentujemy projekt oraz implementację adaptacyjnego i uczącego się modułu przeznaczonego dowykonywania scenariuszy w środowisku BeesyCluster. BeesyCluster pozwala na modelowaniescenariuszy w formie acyklicznego grafu skierowanego, w którym wierzchołki oznaczają zadania,a krawędzie określają zależności między nimi. Przedstawiamy także kooperatywne wykonaniescenariusza przez grupę agentów zdolnych do zbierania, składowania i korzystania...

• Analysis of network infrastructure and QoS requirements for modern remote learning systems.

  Publication

  • K. Gierłowski
  • T. Gierszewski

  - Year 2004

  W referacie przedstawiono różne modele zdalnego nauczania. Podjęto próbę oceny wymagań nakładanych na infrastrukturę sieci. Ponadto przedstawiono mechanizmy QoS spotykane w sieciach teleinformatycznych oraz dokonano oceny możliwości ich współpracy w systemach edukacji zdalnej

• Developing ICT-rich lifelong learning opportunities trough EU-projects.

  Publication

  • A. Grabowska

  - Year 2005

  Artykuł opisuje doświadczenia Centrum Edukacji Niestacjonarnej Politechniki Gdańskiej od 1997 roku we wdrażaniu kształcenia na odległość. Głównym zadaniem CEN PG jest tworzenie dostępu do materiałów, skryptów, kursów i środowiska internetowego w sieciach LAN i WAN. Udostępniane moduły kursowe zostały opracowane głównie w międzynarodowych zespołach projektowych w wyniku realizowanych unijnych programów Leonardo da Vinci, Socrates...

• Modular machine learning system for training object detection algorithms on a supercomputer

  Publication

  • J. Dembski
  • M. Smiatacz

  - Year 2010

  W pracy zaprezentowano architekturę systemu służącego do tworzenia algorytmów wykorzystujących metodę AdaBoost i służących do wykrywania obiektów (np. twarzy) na obrazach. System został podzielony na wyspecjalizowane moduły w celu umożliwienia łatwej rozbudowy i efektywnego zrównoleglenia implementacji przeznaczonej dla superkomputera. Na przykład, system może być rozszerzony o nowe cechy i algorytmy ich ekstrakcji bez konieczności...

• E-learning - prawdziwa czy fikcyjna koncepcja edukacyjnego rozwoju uczelni

  Publication

  • A. M. Dąbrowicz-Tlałka

  - Pismo PG - Year 2008

  Nie można zaprzeczyć, że wykorzystanie narzędzi multimedialnych oraz Internetu pozwala na dodanie istotnych, z punku widzenia dydaktyki, komponentów edukacyjnych tworzących kompetencje i umiejętności zawodowe, a także te czysto akademickie. Trzeba rozważyć, czy wszystkie strony procesu dydaktycznego na uczelni są przygotowane do e−learningu. Oczywistym wymogiem jest posiadanie odpowiedniej bazy sprzętowej i przygotowanej kadry...

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• Deep Learning-Based Cellular Nuclei Segmentation Using Transformer Model

  Publication

  • M. Erezman
  • T. Dziubich

  - Year 2024

  Accurate segmentation of cellular nuclei is imperative for various biological and medical applications, such as cancer diagnosis and drug discovery. Histopathology, a discipline employing microscopic examination of bodily tissues, serves as a cornerstone for cancer diagnosis. Nonetheless, the conventional histopathological diagnosis process is frequently marred by time constraints and potential inaccuracies. Consequently, there...

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• Autonomous pick-and-place system based on multiple 3Dsensors and deep learning

  Publication

  • Z. Kowalczuk
  • J. Glinko

  - Year 2022

  Grasping objects and manipulating them is the main way the robot interacts with its environment. However, for robots to operate in a dynamic environment, a system for determining the gripping position for objects in the scene is also required. For this purpose, neural networks segmenting the point cloud are usually applied. However, training such networks is very complex and their results are unsatisfactory. Therefore, we propose...

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• Deep learning approach on surface EEG based Brain Computer Interface

  Publication

  • Ł. Radzinski
  • T. Kocejko

  - Year 2022

  In this work we analysed the application of con-volutional neural networks in motor imagery classification for the Brain Computer Interface (BCI) purposes. To increase the accuracy of classification we proposed the solution that combines the Common Spatial Pattern (CSP) with convolutional network (ConvNet). The electroencephalography (EEG) is one of the modalities we try to use for controlling the prosthetic arm. Therefor in this...

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• Analysis of 2D Feature Spaces for Deep Learning-based Speech Recognition

  Publication

  • G. Korvel
  • P. Treigys
  • G. Tamulevicus
  • J. Bernataviciene
  • B. Kostek

  - JOURNAL OF THE AUDIO ENGINEERING SOCIETY - Year 2018

  convolutional neural network (CNN) which is a class of deep, feed-forward artificial neural network. We decided to analyze audio signal feature maps, namely spectrograms, linear and Mel-scale cepstrograms, and chromagrams. The choice was made upon the fact that CNN performs well in 2D data-oriented processing contexts. Feature maps were employed in the Lithuanian word recognition task. The spectral analysis led to the highest word...

• Evaluation of aspiration problems in L2 English pronunciation employing machine learning

  Publication

  • M. Piotrowska
  • A. Czyżewski
  • T. Ciszewski
  • G. Korvel
  • A. Kurowski
  • B. Kostek

  - Journal of the Acoustical Society of America - Year 2021

  The approach proposed in this study includes methods specifically dedicated to the detection of allophonic variation in English. This study aims to find an efficient method for automatic evaluation of aspiration in the case of Polish second-language (L2) English speakers’ pronunciation when whole words are analyzed instead of particular allophones extracted from words. Sample words including aspirated and unaspirated allophones...

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• DEEP LEARNING BASED ON X-RAY IMAGING IMPROVES COXARTHROSIS DETECTION

  Publication

  • M. Maj
  • J. Borkowski
  • J. Wasilewski
  • S. Hrynowiecka
  • A. Kastrau
  • M. Liksza
  • P. Jasik
  • M. Treder

  - Year 2022

  Objective: The purpose of the study was to create an Artificial Neural Network (ANN) based on X-ray images of the pelvis, as an additional tool to automate and improve the diagnosis of coxarthrosis. The research is focused on joint space narrowing, which is a radiological symptom showing the thinning of the articular cartilage layer, which is translucent to X-rays. It is the first and the most important of the radiological signs...

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• Using deep learning to increase accuracy of gaze controlled prosthetic arm

  Publication

  • T. Kocejko

  - Year 2021

  This paper presents how neural networks can be utilized to improve the accuracy of reach and grab functionality of hybrid prosthetic arm with eye tracing interface. The LSTM based Autoencoder was introduced to overcome the problem of lack of accuracy of the gaze tracking modality in this hybrid interface. The gaze based interaction strongly depends on the eye tracking hardware. In this paper it was presented how the overall the...

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• Learning sperm cells part segmentation with class-specific data augmentation

  Publication

  • M. Jankowski
  • E. Lewandowska
  • H. Talbot
  • D. Węsierski
  • A. Jezierska

  - Year 2024

  Infertility affects around 15% of couples worldwide. Male fertility problems include poor sperm quality and low sperm count. The advanced fertility treatment methods like ICSI are nowadays supported by vision systems to assist embryologists in selecting good quality sperm. Computer-Assisted Semen Analysis (CASA) provides quantitative and qualitative sperm analysis concerning concentration, motility, morphology, vitality, and fragmentation....

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• Widening Participation and lifelong learning

  Journals

  ISSN: 1466-6529

• Learning Disabilities Research & Practice

  Journals

  ISSN: 0938-8982 , eISSN: 1540-5826

• Journal of Interactive Learning Research

  Journals

  ISSN: 1093-023X

• Australian Journal of Adult Learning

  Journals

  ISSN: 1443-1394

• Lifelong Learning in Europe (LLinE)

  Journals

  ISSN: 1239-6826

• British Journal of Learning Disabilities

  Journals

  ISSN: 1354-4187 , eISSN: 1468-3156

• Academy of Management Learning & Education

  Journals

  ISSN: 1537-260X

• Journal of Interactive Online Learning

  Journals

  ISSN: 1541-4914

• Learning Culture and Social Interaction

  Journals

  ISSN: 2210-6561

• Journal of Academic Language and Learning

  Journals

  ISSN: 1835-5196

• Foundations and Trends in Machine Learning

  Journals

  ISSN: 1935-8237 , eISSN: 1935-8245

• International Journal of Knowledge and Learning

  Journals

  ISSN: 1741-1009 , eISSN: 1741-1017

• International Journal of Innovation and Learning

  Journals

  ISSN: 1471-8197 , eISSN: 1741-8089

• Independent Journal of Teaching and Learning

  Journals

  ISSN: 1818-9687

• Information Technologies and Learning Tools

  Journals

  ISSN: 2076-8184

• Electronic Journal of e-Learning

  Journals

  ISSN: 1479-4403

• International Journal of Pedagogies & Learning

  Journals

  ISSN: 2204-0552 , eISSN: 1833-4105

• Journal of Language Teaching and Learning

  Journals

  ISSN: 2146-1732

• International Journal of Learning Technology

  Journals

  ISSN: 1477-8386 , eISSN: 1741-8119

• Innovation in Language Learning and Teaching

  Journals

  ISSN: 1750-1229 , eISSN: 1750-1237

• Australian Journal of Learning Difficulties

  Journals

  ISSN: 1940-4158 , eISSN: 1940-4166

• IEEE Transactions on Learning Technologies

  Journals

  ISSN: 1939-1382 , eISSN: 2372-0050

• Journal of Unschooling and Alternative Learning

  Journals

  ISSN: 1916-8128

• Psychology Learning and Teaching-PLAT

  Journals

  ISSN: 1475-7257

• Journal of Practice Teaching and Learning

  Journals

  ISSN: 1759-5150

• Tizard Learning Disability Review

  Journals

  ISSN: 1359-5474 , eISSN: 2042-8782

• New Directions for Teaching and Learning

  Journals

  ISSN: 0271-0633

• Journal of College Reading and Learning

  Journals

  ISSN: 1079-0195

• International Journal of Learning and Change

  Journals

  ISSN: 1740-2875

• Second Language Learning and Teaching

  Journals

  ISSN: 2193-7648

• Advances in Learning and Behavioral Disabilities

  Journals

  ISSN: 0735-004X

• Malaysian Journal of Learning & Instruction

  Journals

  ISSN: 1675-8110 , eISSN: 2180-2483