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ORCIDLukasz Radlinski
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2020 – today
- 2023
[j5]Jan Kocon
, Igor Cichecki, Oliwier Kaszyca, Mateusz Kochanek, Dominika Szydlo, Joanna Baran, Julita Bielaniewicz, Marcin Gruza, Arkadiusz Janz, Kamil Kanclerz, Anna Kocon, Bartlomiej Koptyra, Wiktoria Mieleszczenko-Kowszewicz, Piotr Milkowski, Marcin Oleksy, Maciej Piasecki, Lukasz Radlinski, Konrad Wojtasik, Stanislaw Wozniak, Przemyslaw Kazienko:
ChatGPT: Jack of all trades, master of none. Inf. Fusion 99: 101861 (2023)- [c10]Bartlomiej Koptyra, Anh Ngo, Lukasz Radlinski, Jan Kocon:
CLARIN-Emo: Training Emotion Recognition Models Using Human Annotation and ChatGPT. ICCS (1) 2023: 365-379 - [i1]Jan Kocon, Igor Cichecki, Oliwier Kaszyca, Mateusz Kochanek, Dominika Szydlo, Joanna Baran, Julita Bielaniewicz, Marcin Gruza, Arkadiusz Janz, Kamil Kanclerz, Anna Kocon, Bartlomiej Koptyra, Wiktoria Mieleszczenko-Kowszewicz, Piotr Milkowski, Marcin Oleksy, Maciej Piasecki, Lukasz Radlinski, Konrad Wojtasik, Stanislaw Wozniak, Przemyslaw Kazienko:
ChatGPT: Jack of all trades, master of none. CoRR abs/2302.10724 (2023) - 2021
- [c9]Lukasz Radlinski:
Analysis of factors of software development effort and productivity. KES 2021: 4790-4799 - 2020
- [c8]Lukasz Radlinski:
Predicting User Satisfaction in Software Projects using Machine Learning Techniques. ENASE 2020: 374-381 - [c7]Lukasz Radlinski:
Stability of user satisfaction prediction in software projects. KES 2020: 2394-2403
2010 – 2019
- 2016
- [j4]Anthony Costa Constantinou, Norman E. Fenton, William Marsh, Lukasz Radlinski:
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artif. Intell. Medicine 67: 75-93 (2016) - 2013
- [j3]Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wolfgang Rosenstiel:
Predicting the Flow of Defect Correction Effort using a Bayesian Network Model. Empir. Softw. Eng. 18(3): 435-477 (2013) - 2012
- [c6]Lukasz Radlinski:
Empirical Analysis of the Impact of Requirements Engineering on Software Quality. REFSQ 2012: 232-238 - 2011
- [j2]Lukasz Radlinski:
A conceptual Bayesian net model for integrated software quality prediction. Ann. UMCS Informatica 11(4): 49-60 (2011) - [c5]Lukasz Radlinski:
A Framework for Integrated Software Quality Prediction Using Bayesian Nets. ICCSA (5) 2011: 310-325 - 2010
- [c4]Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wolfgang Rosenstiel:
Defect cost flow model: a Bayesian network for predicting defect correction effort. PROMISE 2010: 16 - [c3]Lukasz Radlinski:
Software Development Effort and Quality Prediction Using Bayesian Nets and small Local Qualitative Data. SEKE 2010: 113-116
2000 – 2009
- 2008
- [b1]Lukasz Radlinski:
Improved Software Project Risk Assessment Using Bayesian Nets. Queen Mary University of London, UK, 2008 - [j1]Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, Lukasz Radlinski, Paul Krause:
On the effectiveness of early life cycle defect prediction with Bayesian Nets. Empir. Softw. Eng. 13(5): 499-537 (2008) - 2007
- [c2]Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, Lukasz Radlinski, Paul Krause:
Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction. PROMISE@ICSE 2007: 2 - 2006
- [c1]Norman E. Fenton, Lukasz Radlinski, Martin Neil:
Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation. SET 2006: 139-148
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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