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Department of Information Technology

Publications from the Department of Information Technology

Series

We publish technical reports and licentiate theses in local series. Our PhD dissertations are available through the Electronic Publishing Centre of the university.

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Publications this year

The lists below show publications registered in the University digital archive DiVA, and which have been marked as being the department's. The lists do not necessarily contain all publications of authors/editors of our department. (When publishing in DiVA, use the guidelines to make sure you do it right.)

On this page you find publication of the current year. Separate lists for 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, and 1999 are also available.

  1. Structure and Interpretation of Computer Programs: JavaScript Edition. Harold Abelson, Gerald Jay Sussman, Martin Henz, and Tobias Wrigstad. MIT Press, 2022.
  2. A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class. Khalid Alkharabsheh, Sadi Alawadi, Victor R. Kebande, Yania Crespo, Manuel Fernández-Delgado, and José Á. Taboada. In Information and Software Technology, volume 143, Elsevier BV, 2022. (DOI).
  3. Automatic identification of utilizable rooftop areas in digital surface models for photovoltaics potential assessment. Mohammad Aslani and Stefan Seipel. In Applied Energy, volume 306, Elsevier BV, 2022. (DOI, Fulltext, fulltext:print).
  4. Volterra Modeling and Estimation of the Human Smooth Pursuit. Viktor Bro. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 2100, Acta Universitatis Upsaliensis, Uppsala, 2022. (fulltext, preview image).
  5. Energy stable and accurate coupling of finite element methods and finite difference methods. Tuan Anh Dao, Ken Mattsson, and Murtazo Nazarov. In Journal of Computational Physics, volume 449, 2022. (DOI, Fulltext, fulltext:print).
  6. Solving reachability problems on data-aware workflows. Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, and Sergio Tessaris. In Expert systems with applications, volume 189, Elsevier BV, 2022. (DOI).
  7. Exploring the susceptibility of smart farming: Identified opportunities and challenges. Elsa Jerhamre, Carl Johan Casten Carlberg, and Vera van Zoest. In Smart Agricultural Technology, volume 2, 2022. (DOI).
  8. The Cramér-Rao Bound for Signal Parameter Estimation From Quantized Data [Lecture Notes]. Peter Stoica, Xiaolei Shang, and Yuanbo Cheng. In IEEE signal processing magazine (Print), volume 39, number 1, pp 118-125, Institute of Electrical and Electronics Engineers (IEEE), 2022. (DOI).
  9. Improved breast cancer histological grading using deep learning. Y. Wang, B. Acs, S. Robertson, B. Liu, Leslie Solorzano, Carolina Wählby, J. Hartman, and M. Rantalainen. In Annals of Oncology, volume 33, number 1, pp 89-98, 2022. (DOI, Fulltext, fulltext:print).
  10. Stability analysis of high order methods for the wave equation. Ivy Weber, Gunilla Kreiss, and Murtazo Nazarov. In Journal of Computational and Applied Mathematics, volume 404, Elsevier, 2022. (DOI).

Updated  2019-12-16 12:45:58 by Kurt Otto.