Search results for: CONTINUAL LEARNING · REPRESENTATION LEARNING

• 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...

• 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...

• A Prototype of Educational Agent in Distance Learning Environment - Virtual Student Assistant

  Publication

  • A. Landowska

  - Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej - Year 2009

  W zdalnym nauczaniu pojawia się wiele systemów wspierających, z których niezwykle ciekawym przykładem są agenty edukacyjne. Wśród wielu rodzajów agentów edukacyjnych wyróżnia się osobistych asystentów, których rolą jest organizacyjna pomoc osobie zdobywającej wiedzę. Artykuł jest poświęcony zaimplementowanemu na Wydziale ETI Politechniki Gdańskiej prototypowi agenta edukacyjnego o nazwie WAS (Wirtualny Asystent Studenta). Pokazana...

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• 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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• 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...

• Application of creative problem-solving methods in remote learning. Bibliometric analysis

  Publication

  • I. Chomiak-Orsa
  • A. Greńczuk
  • K. Łuczak
  • K. Smoląg

  - Procedia Computer Science - Year 2023

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• Stacking and rotation-based technique for machine learning classification with data reduction

  Publication

  • I. Czarnowski
  • P. Jedrzejowicz

  - Year 2017

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• POPULATION-BASED MULTI-AGENT APPROACH TO SOLVING MACHINE LEARNING PROBLEMS

  Publication

  • I. Czarnowski
  • P. Jędrzejowicz

  - CYBERNETICS AND SYSTEMS - Year 2011

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• Designing RBF Networks Using the Agent-Based Population Learning Algorithm

  Publication

  • I. Czarnowski
  • P. Jȩdrzejowicz

  - NEW GENERATION COMPUTING - Year 2014

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• 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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• 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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• A Note on Knowledge Management Education: Towards Implementing Active Learning Methods

  Publication

  • M. Owoc
  • P. Weichbroth

  - Year 2018

  Knowledge Management as an area of education is still a big challenge for teachers and practitioners. Nevertheless, there are several useful teaching methods in active education, especially oriented towards courses where innovation and delivering dynamic knowledge are critical. The goal of the paper is to present and discuss criteria relevant in the selection of active educational methods supporting knowledge management courses....

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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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• 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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• 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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• Solvent Screening for Solubility Enhancement of Theophylline in Neat, Binary and Ternary NADES Solvents: New Measurements and Ensemble Machine Learning

  Publication

  • P. Cysewski
  • T. Jeliński
  • P. Cymerman
  • M. Przybyłek

  - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES - Year 2021

  Theophylline, a typical representative of active pharmaceutical ingredients, was selected to study the characteristics of experimental and theoretical solubility measured at 25 °C in a broad range of solvents, including neat, binary mixtures and ternary natural deep eutectics (NADES) prepared with choline chloride, polyols and water. There was a strong synergistic effect of organic solvents mixed with water, and among the experimentally...

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• Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor

  Publication

  • M. Mehrani
  • F. Bagherzadeh
  • M. Zheng
  • P. Kowal
  • D. Sobotka
  • J. Mąkinia

  - PROCESS SAFETY AND ENVIRONMENTAL PROTECTION - Year 2022

  Nitrous oxide (N2O) is a key parameter for evaluating the greenhouse gas emissions from wastewater treatment plants. In this study, a new method for predicting liquid N2O production during nitrification was developed based on a mechanistic model and machine learning (ML) algorithm. The mechanistic model was first used for simulation of two 15-day experimental trials in a nitrifying sequencing batch reactor. Then, model predictions...

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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

• Active Learning in Higher Education

  Journals

  ISSN: 1469-7874 , eISSN: 1741-2625

• 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