DeepTest 2024 Contributors

Fri 12 - Sun 21 April 2024 Lisbon, Portugal

co-located with ICSE 2024

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Results (33)

A Paolo ArcainiArcaini, Paolo National Institute of Informatics Japan More is Not Always Better: Exploring Early Repair of DNNs Federated Repair of Deep Neural Networks
B Matteo BiagiolaBiagiola, Matteo Università della Svizzera italiana Session Chair of Research Talks (part of DeepTest) Organizer in Organising Committee within the DeepTest-track
Andrea BombardaBombarda, Andrea University of BergamoItaly A Framework for Including Uncertainty in Robustness Evaluation of Bayesian Neural Network Classifiers
Silvia BonfantiBonfanti, Silvia University of BergamoItaly A Framework for Including Uncertainty in Robustness Evaluation of Bayesian Neural Network Classifiers
C Nicolás CardozoCardozo, Nicolás Universidad de los AndesColombia Session Chair of Opening + Tutorials (part of DeepTest) Organizer in Organising Committee within the DeepTest-track
Chunyang ChenChen, Chunyang Technical University of Munich (TUM)Germany Mobile Application Testing with Large Language Models: Landscape and Vision
Junjie ChenChen, Junjie Tianjin UniversityChina Committee Member in Program Committee within the DeepTest-track
Luís CruzCruz, Luís Delft University of TechnologyNetherlands Data vs. Model Machine Learning Fairness Testing: An Empirical Study
D Pouria DerakhshanfarDerakhshanfar, Pouria JetBrains ResearchNetherlands Tutorial: TestSpark
E Wasim EssbaiEssbai, Wasim Technische Universität WienAustria A Framework for Including Uncertainty in Robustness Evaluation of Bayesian Neural Network Classifiers
G Angelo GargantiniGargantini, Angelo University of BergamoItaly A Framework for Including Uncertainty in Robustness Evaluation of Bayesian Neural Network Classifiers
Antonio GuerrieroGuerriero, Antonio Università di Napoli Federico II Programme Committee in Program Committee within the DeepTest-track
H Nargiz HumbatovaHumbatova, Nargiz USI LuganoSwitzerland Committee Member in Program Committee within the DeepTest-track
I Fuyuki IshikawaIshikawa, Fuyuki National Institute of InformaticsJapan More is Not Always Better: Exploring Early Repair of DNNs Federated Repair of Deep Neural Networks
K Niklas KerscherKerscher, Niklas Technische Universität München \| Ludwig-Maximilians-Universität MünchenGermany Guiding the Search Towards Failure-Inducing Test Inputs Using Support Vector Machines
Foutse KhomhKhomh, Foutse École Polytechnique de MontréalCanada Session Chair of Keynote + Invited Talk (part of DeepTest) Organizer in Organising Committee within the DeepTest-track
Jinhan KimKim, Jinhan Università della Svizzera italiana (USI)Switzerland Committee Member in Program Committee within the DeepTest-track
L Thomas LaurentLaurent, Thomas Lero@Trinity College DublinIreland More is Not Always Better: Exploring Early Repair of DNNs Federated Repair of Deep Neural Networks
Davide Li CalsiLi Calsi, Davide Politecnico di MilanoItaly Federated Repair of Deep Neural Networks
M Andrei MancuMancu, Andrei Technical University of Munich More is Not Always Better: Exploring Early Repair of DNNs
Ali MesbahMesbah, Ali University of British Columbia (UBC) A Controlled Experiment of Different Code Representations for Learning-Based Program Repair
N Marjane NamavarNamavar, Marjane A Controlled Experiment of Different Code Representations for Learning-Based Program Repair
Noor NashidNashid, Noor University of British ColumbiaCanada A Controlled Experiment of Different Code Representations for Learning-Based Program Repair Committee Member in Program Committee within the DeepTest-track
R Vincenzo RiccioRiccio, Vincenzo University of UdineItaly Organizer in Organising Committee within the DeepTest-track
Franz RiegerRieger, Franz Max Planck Institute for Biological Intelligence and Technical University of Munich More is Not Always Better: Exploring Early Repair of DNNs
Daniel RueckertRueckert, Daniel More is Not Always Better: Exploring Early Repair of DNNs
S Arkadii SapozhnikovSapozhnikov, Arkadii JetBrains ResearchGermany Tutorial: TestSpark
Donghwan ShinShin, Donghwan University of SheffieldUnited Kingdom Organizer in Organising Committee within the DeepTest-track
Arumoy ShomeShome, Arumoy Delft University of TechnologyNetherlands Data vs. Model Machine Learning Fairness Testing: An Empirical Study
Lev SorokinSorokin, Lev fortiss GmbH \| Technische Universität MünchenGermany Guiding the Search Towards Failure-Inducing Test Inputs Using Support Vector Machines Tutorial: OpenSBT
Andrea StoccoStocco, Andrea Technical University of Munich, fortissGermany Session Chair of Research Talks + Closing (part of DeepTest) Organizer in Organising Committee within the DeepTest-track
V Arie van Deursenvan Deursen, Arie Delft University of TechnologyNetherlands Data vs. Model Machine Learning Fairness Testing: An Empirical Study
W Mohammad WardatWardat, Mohammad Oakland University, USAUnited States Committee Member in Program Committee within the DeepTest-track