Lukasz Radlinski

24 papers B 5C 1Journal 9Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rethinking data selection strategies for more accurate software effort prediction using the ISBSG dataset. J. Syst. Softw. Lukasz Radlinski, Jakub Swacha
2025	—	`conf`	Backtranslation and Paraphrasing in the LLM Era? Comparing Data Augmentation Methods for Emotion Classification. ICCS (1) Lukasz Radlinski, Mateusz Gusciora, Jan Kocon
2025	J	`jnl`	Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification. CoRR Lukasz Radlinski, Mateusz Gusciora, Jan Kocon
2025	—	`conf`	Investigating the Effect of Sample Size and Respondent Characteristics on Usability Measurement: The Case of ChatGPT. ISD Jakub Swacha, Lukasz Radlinski, Karolina Muszynska, Susanne Marx, Ricardo Queirós
2025	—	`conf`	Leveraging Positional Bias of LLM In-Context Learning with Class-Few-Shot and Maj-Min Alternating Ordering. ICCS (4) Aleksander Szczesny, Maciej Markiewicz, Lukasz Radlinski, Przemyslaw Kazienko
2025	J	`jnl`	PLLuM: A Family of Polish Large Language Models. CoRR Jan Kocon, Maciej Piasecki, Arkadiusz Janz, Teddy Ferdinan, Lukasz Radlinski, Bartlomiej Koptyra, Marcin Oleksy, Stanislaw Wozniak, Pawel Walkowiak, Konrad Wojtasik, Julia Moska, Tomasz Naskret, Bartosz Walkowiak, Mateusz Gniewkowski, Kamil Szyc, Dawid Motyka, Dawid Banach, Jonatan Dalasinski, Ewa Rudnicka, Bartlomiej Alberski, Tomasz Walkowiak, Aleksander Szczesny, Maciej Markiewicz, Tomasz Bernas, Hubert Mazur, Kamil Zyta, Mateusz Tykierko, Grzegorz Chodak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Agnieszka Karlinska, Karolina Seweryn, Anna Kolos, Maciej Chrabaszcz, Katarzyna Lorenc, Aleksandra Krasnodebska, Artur Wilczek, Katarzyna Dziewulska, Paula Betscher, Zofia Cieslinska, Katarzyna Kowol, Daria Mikos, Maciej Trzcinski, Dawid Krutul, Marek Kozlowski, Slawomir Dadas, Rafal Poswiata, Michal Perelkiewicz, Malgorzata Grebowiec, Maciej Kazula, Marcin Bialas, Roman Roszko, Danuta Roszko, Jurgita Vaicenoniene, Andrius Utka, Pawel Levchuk, Pawel Kowalski, Irena Prawdzic-Jankowska, Maciej Ogrodniczuk, Monika Borys, Anna Bulinska, Wiktoria Gumienna, Witold Kieras, Dorota Komosinska, Katarzyna Krasnowska-Kieras, Lukasz Kobylinski, Martyna Lewandowska, Marek Lazinski, Mikolaj Latkowski, Dawid Mastalerz, Beata Milewicz, Agnieszka Anna Mykowiecka, Angelika Peljak-Lapinska, Sandra Penno, Zuzanna Przybysz, Michal Rudolf, Piotr Rybak, Karolina Saputa, Aleksandra Tomaszewska, Aleksander Wawer, Marcin Wolinski, Joanna Woloszyn, Alina Wróblewska, Bartosz Zuk, Filip Zarnecki, Konrad Kaczynski, Anna Cichosz, Zuzanna Deckert, Monika Garnys, Izabela Grabarczyk, Wojciech Janowski, Sylwia Karasinska, Aleksandra Kujawiak, Piotr Misztela, Maria Szymanska, Karolina Walkusz, Igor Siek, Jakub Kwiatkowski, Piotr Pezik
2024	B	`conf`	The Trade-off Between Data Volume and Quality in Predicting User Satisfaction in Software Projects. SEAA Lukasz Radlinski
2023	—	`conf`	CLARIN-Emo: Training Emotion Recognition Models Using Human Annotation and ChatGPT. ICCS (1) Bartlomiej Koptyra, Anh Ngo, Lukasz Radlinski, Jan Kocon
2023	J	`jnl`	ChatGPT: Jack of all trades, master of none. CoRR 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
2023	J	`jnl`	ChatGPT: Jack of all trades, master of none. Inf. Fusion 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
2021	B	`conf`	Analysis of factors of software development effort and productivity. KES Lukasz Radlinski
2020	B	`conf`	Predicting User Satisfaction in Software Projects using Machine Learning Techniques. ENASE Lukasz Radlinski
2020	B	`conf`	Stability of user satisfaction prediction in software projects. KES Lukasz Radlinski
2016	J	`jnl`	From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artif. Intell. Medicine Anthony Costa Constantinou, Norman E. Fenton, William Marsh, Lukasz Radlinski
2013	J	`jnl`	Predicting the Flow of Defect Correction Effort using a Bayesian Network Model. Empir. Softw. Eng. Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wolfgang Rosenstiel
2012	B	`conf`	Empirical Analysis of the Impact of Requirements Engineering on Software Quality. REFSQ Lukasz Radlinski
2011	—	`conf`	A Framework for Integrated Software Quality Prediction Using Bayesian Nets. ICCSA (5) Lukasz Radlinski
2011	J	`jnl`	A conceptual Bayesian net model for integrated software quality prediction. Ann. UMCS Informatica Lukasz Radlinski
2010	—	`conf`	Defect cost flow model: a Bayesian network for predicting defect correction effort. PROMISE Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wolfgang Rosenstiel
2010	C	`conf`	Software Development Effort and Quality Prediction Using Bayesian Nets and small Local Qualitative Data. SEKE Lukasz Radlinski
2008	—	`—`	Improved Software Project Risk Assessment Using Bayesian Nets. Lukasz Radlinski
2008	J	`jnl`	On the effectiveness of early life cycle defect prediction with Bayesian Nets. Empir. Softw. Eng. Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, Lukasz Radlinski, Paul Krause
2007	—	`conf`	Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction. PROMISE@ICSE Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, Lukasz Radlinski, Paul Krause
2006	—	`conf`	Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation. SET Norman E. Fenton, Lukasz Radlinski, Martin Neil