Wyszukiwarka
Filtry
wszystkich: 1281
-
Katalog
- Publikacje 936 wyników po odfiltrowaniu
- Czasopisma 181 wyników po odfiltrowaniu
- Konferencje 26 wyników po odfiltrowaniu
- Osoby 52 wyników po odfiltrowaniu
- Projekty 8 wyników po odfiltrowaniu
- Kursy Online 62 wyników po odfiltrowaniu
- Wydarzenia 7 wyników po odfiltrowaniu
- Dane Badawcze 9 wyników po odfiltrowaniu
wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: CONTINUAL LEARNING · REPRESENTATION LEARNING
-
Predicting the Purchase of Electricity Prices for Renewable Energy Sources Based on Polish Power Grids Data Using Deep Learning Models for Controlling Small Hybrid PV Microinstallations
Publikacja -
Workshop on Logic and Learning
Konferencje -
Algorithmic Learning Theory
Konferencje -
Conference on Learning Theory (Annual Conference on Computational Learning Theory)
Konferencje -
Application of Intelligent Conversational Agents in E-learing Environments
PublikacjaThe paper concerns intelligent tutoring systems and concentrates on apliaction of virtual mentors in distance learning environments. Different educational agent types are described. The prototype of an agent developed at Gdansk University of Technology is also presented, as well as its internal representation and construction. Benefits of virtual mentors applied in distance learning are also pointed out.
-
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Publikacja"Generalized Continual Category Discovery (GCCD) tackles learning from sequentially arriving, partially labeled datasets while uncovering new categories. Traditional methods depend on feature distillation to prevent forgetting the old knowledge. However, this strategy restricts the model’s ability to adapt and effectively distinguish new categories. To address this, we introduce a novel technique integrating a learnable projector...
-
Internet Journal on E-learning (Formerly : International Journal of Educational Telecommunications)
Czasopisma -
TRWAŁOŚĆ PROJEKTU ERASMUS+ SP4CE - STUDIUM PRZYPADKU
PublikacjaProjekt ERASMUS+ Partnerstwo Strategiczne na Rzecz Kreatywności i Przedsiębiorczości (ang. Strategic Partnership for Creativity and Entrepreneurship - SP4CE) dotyczył wdrażania i upowszechniania innowacyjnych rozwiązań wzmacniających współpracę europejską w dziedzinie kształcenia i szkolenia zawodowego. Działania projektowe były związane z promowaniem innowacyjnych praktyk w edukacji oraz szkoleniach poprzez wspieranie spersonalizowanych...
-
Comparative Analysis of Text Representation Methods Using Classification
PublikacjaIn our work, we review and empirically evaluate five different raw methods of text representation that allow automatic processing of Wikipedia articles. The main contribution of the article—evaluation of approaches to text representation for machine learning tasks—indicates that the text representation is fundamental for achieving good categorization results. The analysis of the representation methods creates a baseline that cannot...
-
Conference on Computational Natural Language Learning (Conference on Natural Language Learning)
Konferencje -
Asian Conference on Machine Learning
Konferencje -
International Conference on Machine Learning
Konferencje -
Computer Supported Collaborative Learning
Konferencje -
European Workshop on Learning Robots
Konferencje -
International Conference on Learning Representations
Konferencje -
Efkleidis Katsaros
OsobyEfklidis Katsaros received the B.Sc. degree in mathematics from the Aristotle University of Thessaloniki, Greece, in 2016, and the M.Sc. degree (cum laude) in data science: statistical science from Leiden University, The Netherlands, in 2019. He is currently pursuing the Ph.D. degree in deep video multi-task learning with the Department of Biomedical Engineering, Gdańsk University of Technology, Poland. Since 2020, he has been...
-
Currents in Pharmacy Teaching and Learning
Czasopisma -
Language Learning in Higher Education
Czasopisma -
JOURNAL OF MACHINE LEARNING RESEARCH
Czasopisma -
When Neural Networks Meet Decisional DNA: A Promising New Perspective for Knowledge Representation and Sharing
PublikacjaABSTRACT In this article, we introduce a novel concept combining neural network technology and Decisional DNA for knowledge representation and sharing. Instead of using traditional machine learning and knowledge discovery methods, this approach explores the way of knowledge extraction through deep learning processes based on a domain’s past decisional events captured by Decisional DNA. We compare our approach with kNN (k-nearest...
-
CHALK & TALK OR SWIPE & SKYPE?
PublikacjaTechnology in classroom is a matter of heated discussions in the field of education development, especially when multidisciplinary education goes along with language skills. Engineers’ education requires theoretical and practical knowledge. Moreover, dedicated computer skills become crucial for both young graduates and experienced educators on the labor market. Teaching online with or without using different Learning Management...
-
Experience-Oriented Knowledge Management for Internet of Things
PublikacjaIn this paper, we propose a novel approach for knowledge management in Internet of Things. By utilizing Decisional DNA and deep learning technologies, our approach enables Internet of Things of experiential knowledge discovery, representation, reuse, and sharing among each other. Rather than using traditional machine learning and knowledge discovery methods, this approach focuses on capturing domain’s decisional events via Decisional...
-
Random Processes 2022/2023
Kursy OnlineThe e-learning course page for the purpose of the remote or hybrid learning for Random Processes.
-
Random Processes 2023/2024
Kursy OnlineThe e-learning course page for the purpose of the remote or hybrid learning for Random Processes.
-
Random Processes 2024/2025
Kursy OnlineThe e-learning course page for the purpose of the remote or hybrid learning for Random Processes.
-
Investigating Feature Spaces for Isolated Word Recognition
PublikacjaThe study addresses the issues related to the appropriateness of a two-dimensional representation of speech signal for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and time-frequency signal representation converted to the investigated feature spaces. In particular, waveforms and fractal dimension features of the signal were chosen for the time domain, and...
-
International Conference on Machine Learning and Cybernetics
Konferencje -
International Conference on Learning Analytics and Knowledge
Konferencje -
European Conference on Technology Enhanced Learning
Konferencje -
International Conference on Machine Learning and Applications
Konferencje -
Die rolle von Chats/Diskussionsforen im eLearning an einem praktischen Bespiel, Die rolle von Chats/Diskussionsforen im eLearning an einem praktischen Bespiel. A practical example of the role of chatrooms/discussion forums in e-learning.
Publikacja.
-
MP3vec: A Reusable Machine-Constructed Feature Representation for Protein Sequences
Publikacja—Machine Learning (ML) methods have been used with varying degrees of success on protein prediction tasks, with two inherent limitations. First, prediction performance often depends upon the features extracted from the proteins. Second, experimental data may be insufficient to construct reliable ML models. Here we introduce MP3vec, a transferable representation for protein sequences that is designed to be used specifically for sequence-to-sequence...
-
The role of self-awareness in enhancing cooperative behaviour among students
Publikacja -
The role of self-awareness in enhancing cooperative behaviour among students
Publikacja -
Konkurs Innowacji dydaktycznych Statystyczny micro-learning
ProjektyProjekt realizowany w Politechnika Gdańska zgodnie z porozumieniem KID 2023 z dnia 2023-10-01
-
Konkurs Innowacji Dydaktycznych Statystyczny micro-learning
ProjektyProjekt realizowany w Politechnika Gdańska zgodnie z porozumieniem KID 2023 z dnia 2023-10-01
-
Student model representation for pedagogical virtual mentors
PublikacjaThe paper concerns technological aspects of virtual mentors construction, especially concentrating on the student model representation. The article distinguishes several types of information that is gathered by the pedagogical agents and other educational platforms, including student knowledge model, student progress tracking, interaction process patterns and learner preferences. A set of technologies used for the student model...
-
Muhammad Usman PhD
OsobyMuhammad Usman is currently a Computer Vision Researcher at Gdansk University of Technology, working on the BE-LIGHT project, where his research focuses on advancing biomedical diagnostics through the integration of light-based technologies and machine learning techniques. He has completed his Master’s degree in Control Science and Engineering from the University of Science and Technology of China (USTC), Hefei, China. His research...
-
Asia-Pacific Conference on Simulated Evolution and Learning
Konferencje -
IEEE International Conference on Advanced Learning Technologies
Konferencje -
International Conference of the Immersive Learning Research Network
Konferencje -
Investigating Feature Spaces for Isolated Word Recognition
PublikacjaMuch attention is given by researchers to the speech processing task in automatic speech recognition (ASR) over the past decades. The study addresses the issue related to the investigation of the appropriateness of a two-dimensional representation of speech feature spaces for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and timefrequency signal representation...
-
Smart Knowledge Engineering for Cognitive Systems: A Brief Overview
PublikacjaCognition in computer sciences refers to the ability of a system to learn at scale, reason with purpose, and naturally interact with humans and other smart systems, such as humans do. To enhance intelligence, as well as to introduce cognitive functions into machines, recent studies have brought humans into the loop, turning the system into a human–AI hybrid. To effectively integrate and manipulate hybrid knowledge, suitable technologies...
-
Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA
PublikacjaIn this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands...
-
Adding Intelligence to Cars Using the Neural Knowledge DNA
PublikacjaIn this paper we propose a Neural Knowledge DNA based framework that is capable of learning from the car’s daily operation. The Neural Knowledge DNA is a novel knowledge representation and reasoning approach designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing devices. We examine our framework for drivers' classification based on their driving behaviour. The experimental...
-
Zastosowanie metody studium przypadku w kształceniu menedżerów
PublikacjaKształcenie z wykorzystaniem metod rozwiązywania problemów (problem-based learning) staje się coraz bardziej popularne na wszystkich poziomach kształcenia, również w edukacji biznesowej. Przykładem takiej metody jest studium przypadku (case study). Metoda studium przypadku pozwala na rozwijanie umiejętności i kompetencji wykorzystywanych przez menedżerów w ich pracy, np. umiejętności syntezy, identyfikacji problemów, czy podejmowania...
-
Elements of Discrete Mathematics 2023
Kursy OnlineThis course helps with learning Elements of Discrete Mathematics.
-
Elements of Discrete Mathematics 2022
Kursy OnlineThis course helps with learning Elements of Discrete Mathematics.
-
Elements of Discrete Mathematics 2024
Kursy OnlineThis course helps with learning Elements of Discrete Mathematics.
-
Podstawy uczenia maszynowego AI
Kursy OnlinePodstawy uczenia maszynowego. Machine Learning fundamentals.