Skip to main content

Resources

  • Diamond Publication and Open Science at ULiège

    EN
    In this video, presented as part of the Friday Frontiers series, Bernard Pochet traces the evolution of Open Science at the University of Liège in the early 2000s, focusing on Open Access and the implementation of a Diamond Open Access journal publishing platform (PoPuPS) and an institutional repository (ORBi).
  • The CLS INFRA Survey of Methods in Computational Literary Studies

    EN
    This resource from the CLS INFRA project offers an introduction to several research areas and issues that are prominent withinComputational Literary Studies (CLS), including authorship attribution, literary history, literary genre, gender in literature, and canonicity/prestige, as well as to several key methodological concerns that are of importance when performing research in CLS.
  • Photogrammetry Tutorial

    EN
    This tutorial introduces the concept of photogrammetry and its application using the Kiri Engine, a 3D scanner app, guiding users through the process of preparing an object for scanning, capturing photos, and using Kiri Engine to create a 3D model.
  • Digging for Gold - Knowledge Extraction from Text

    EN
    This three-day international training school in Knowledge Extraction from Text from the CLS Infra project offered a crash course in how to “Dig for Gold” in a corpus of texts. From Stylometry to Natural Language Processing, learners will be able to follow along using 'plug and play' tools, while also getting a brief introduction to Python and R.
    Authors
    • Guillermo Marco Remon
    • Alvaro Pérez
    • Artjoms Šeļa
    Read more
  • Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)

    EN
    This is the second of a two-part lesson introducing deep learning based computer vision methods for humanities research. This lesson digs deeper into the details of training a deep learning based computer vision model. It covers some challenges one may face due to the training data used and the importance of choosing an appropriate metric for your model. It presents some methods for evaluating the performance of a model.
  • Regression Analysis with Scikit-learn (part 2 - Logistic)

    EN
    This lesson is the second in a two-part lesson focusing on regression analysis. It provides an overview of logistic regression, how to use Python (Scikit-learn) to make a logistic regression model, and a discussion of interpreting the results of such analysis.
  • Bridging the Sensory Gaps

    EN
    How would you as a person with deafblindness navigate the world – a world filled with navigation and mobility challenges, inaccessible information, and technologies that rely on the senses of sight and hearing?  In this talk, Nasrine Olson (PhD, Associate Professor) introduces the idea behind the formation of the Centre for Inclusive Studies at University of Borås and presents a few projects that have explored ways in which technology can be leveraged to level the playing field.
  • Regression Analysis with Scikit-Learn (part 1 - Linear)

    EN
    This lesson is the first of a two-part lesson focusing on an indispensable set of data analysis methods, logistic and linear regression. It provides an overview of linear regression and walks through running both algorithms in Python (using Scikit-learn). The lesson also discusses interpreting the results of a regression model and some common pitfalls to avoid.
  • New Readers for Old Texts

    EN
    Digitised formats are immensely valuable for researchers but may seem dry and unappealing to broader audiences, particularly when the original content was intended for children. This talk presents the preliminary research conducted on digitised formats of popular children's literature found in specialised libraries.