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dr inż. Andrzej Sobecki

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wszystkich: 27

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Rok 2023
  • Previous Opinions is All You Need - Legal Information Retrieval System
    Publikacja

    - Rok 2023

    We present a system for retrieving the most relevant legal opinions to a given legal case or question. To this end, we checked several state-of-the-art neural language models. As a training and testing data, we use tens of thousands of legal cases as question-opinion pairs. Text data has been subjected to advanced pre-processing adapted to the specifics of the legal domain. We empirically chose the BERT-based HerBERT model to perform...

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Rok 2022
Rok 2021
  • Embedded Representations of Wikipedia Categories
    Publikacja

    - Rok 2021

    In this paper, we present an approach to building neural representations of the Wikipedia category graph. We test four different methods and examine the neural embeddings in terms of preservation of graphs edges, neighborhood coverage in representation space, and their influence on the results of a task predicting parent of two categories. The main contribution of this paper is application of neural representations for improving the...

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  • Najczęstsze problemy usługowych środowisk wdrożeniowych
    Publikacja

    - Rok 2021

    Zakres dostępnych obecnie rozwiązań informatycznych umożliwia zna- czące usprawnienie procesu wytwarzania i dostarczania oprogramowania do klienta. Poprawna integracja środowiska wytwórczego pozwala wy- eliminować szereg problemów dotyczących wewnętrznej współpracy ze- społów developerskich. Zmiana architektur aplikacji z monolitycznych na rozproszone heterogeniczne zbiory usług wymaga innego podejścia do wdrażania usług. Dotychczasowe...

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Rok 2020
  • Framework for Integration Decentralized and Untrusted Multi-vendor IoMT Environments
    Publikacja

    - IEEE Access - Rok 2020

    Lack of standardization is highly visible while we use historical data sets or compare our model with others that use IoMT devices from different vendors. The problem also concerns the trust in highly decentralized and anonymous environments where sensitive data are transferred through the Internet and then are analyzed by third-party companies. In our research we propose a standard that has been implemented in the form of framework...

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  • Mobile Cloud computing architecture for massively parallelizablegeometric computation
    Publikacja
    • V. Sánchez Ribes
    • H. Mora-Mora
    • A. Sobecki
    • F. José Mora Gimeno

    - COMPUTERS IN INDUSTRY - Rok 2020

    Cloud Computing is one of the most disruptive technologies of this century. This technology has been widely adopted in many areas of the society. In the field of manufacturing industry, it can be used to provide advantages in the execution of the complex geometric computation algorithms involved on CAD/CAM processes. The idea proposed in this research consists in outsourcing part of the load to be com- puted in the client machines...

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  • Practical I-Voting on Stellar Blockchain
    Publikacja

    - Applied Sciences-Basel - Rok 2020

    In this paper, we propose a privacy-preserving i-voting system based on the public Stellar Blockchain network. We argue that the proposed system satisfies all requirements stated for a robust i-voting system including transparency, verifiability, and voter anonymity. The practical architecture of the system abstracts a voter from blockchain technology used underneath. To keep user privacy, we propose a privacy-first protocol that...

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  • Smart Services for Improving eCommerce
    Publikacja

    - Rok 2020

    The level of customer support provided by the existing eCom-merce solutions assumes that the person using the functionality of theshop has sufficient knowledge to decide on the purchase transaction. Alow conversion rate indicates that customers are more likely to seekknowledge about the particular product than finalize the transaction.This is facilitated by the continuous development of customers’ digi-tal...

  • SMART SHOP SERVICES FOR BUILDING CUSTOMER-ORIENTED SCENARIOS
    Publikacja

    - TASK Quarterly - Rok 2020

    The shops of today mostly support the customer by offering him or her products based on basic relationships between products viewed or ordered by users with similar tastes. This common approach may fail in many cases especially when the user does not have sufficient knowledge about the market, or when he or she wants to build a set of products in more than one shop. New categories of smart shop services are proposed in order to...

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Rok 2019
  • Deep learning in the fog
    Publikacja

    - International Journal of Distributed Sensor Networks - Rok 2019

    In the era of a ubiquitous Internet of Things and fast artificial intelligence advance, especially thanks to deep learning networks and hardware acceleration, we face rapid growth of highly decentralized and intelligent solutions that offer functionality of data processing closer to the end user. Internet of Things usually produces a huge amount of data that to be effectively analyzed, especially with neural networks, demands high...

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  • Low-Power WSN System for Honey Bee Monitoring
    Publikacja

    - Rok 2019

    The paper presents a universal low-power system for biosensory data acquisition in scope of bees monitoring. We describe the architecture of the system, energy-saving components as well as we discuss the selection of used sensors. The work focuses on energy optimization in a scope of wireless communication. A custom protocol was implemented, which is the basis for presented energy-efficient devices. Data exchange process during...

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  • The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process
    Publikacja

    - Sustainability - Rok 2019

    This paper presents the application of artificial neural networks and decision trees for the prediction of odor properties of post-fermentation sludge from a biological-mechanical wastewater treatment plant. The input parameters were concentrations of popular compounds present in the sludge, such as toluene, p-xylene, and p-cresol, and process parameters including the concentration of volatile fatty acids, pH, and alkalinity in...

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  • Towards semantic-rich word embeddings
    Publikacja

    - Annals of Computer Science and Information Systems - Rok 2019

    In recent years, word embeddings have been shown to improve the performance in NLP tasks such as syntactic parsing or sentiment analysis. While useful, they are problematic in representing ambiguous words with multiple meanings, since they keep a single representation for each word in the vocabulary. Constructing separate embeddings for meanings of ambiguous words could be useful for solving the Word Sense Disambiguation (WSD)...

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Rok 2018
Rok 2017
  • Hybrydowy system rekomendujący usługi do budowy scenariuszy aplikacji użytkowych
    Publikacja

    - Rok 2017

    Powstanie i wzrost znaczenia rynku usług online odegrał istotną rolę w procesie kształtowania oczekiwań klientów. Dostęp do szerokiej gamy usług oraz informacji o nich spowodował, że klienci mają problem z wyszukaniem usługi najlepiej dopasowanej do ich potrzeb. Jednym z rozwiązań tego problemu jest zastosowanie systemów, które udostępniają spersonalizowane sugestie dotyczące usług dla poszczególnych klientów. Przedstawiono istniejące...

Rok 2015
  • Service Recommendation on WIKI-WS Platform
    Publikacja

    - TASK Quarterly - Rok 2015

    The article presents the issues of recaommendation services for users. The commonly used solutions include known classes of recommendation systems and information about their area of use and the most frequently used algorithms. the issue of choosing the services has been described based on the Wiki-WS platform including a model of cooperation with the recommendation system. The conclusion from the analysis of the proposed model...

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Rok 2013
Rok 2012
Rok 2011

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