• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 16 matches

• 2024
• 
  Davide Li Calsi, Thomas Laurent, Paolo Arcaini, Fuyuki Ishikawa:
  Federated Repair of Deep Neural Networks. DeepTest@ICSE 2024
• 
  Wasim Essbai, Andrea Bombarda, Silvia Bonfanti, Angelo Gargantini:
  A Framework for Including Uncertainty in Robustness Evaluation of Bayesian Neural Network Classifiers. DeepTest@ICSE 2024
• 
  Andrei Mancu, Thomas Laurent, Franz Rieger, Paolo Arcaini, Fuyuki Ishikawa, Daniel Rueckert:
  More is Not Always Better: Exploring Early Repair of DNNs. DeepTest@ICSE 2024
• 
  Arumoy Shome, Luis Cruz, Arie van Deursen:
  Data vs. Model Machine Learning Fairness Testing: An Empirical Study. DeepTest@ICSE 2024
• 
  Lev Sorokin, Niklas Kerscher:
  Guiding the Search Towards Failure-Inducing Test Inputs Using Support Vector Machines. DeepTest@ICSE 2024
• 
  Proceedings of the 5th IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest 2024, Lisbon, Portugal, 20 April 2024. ACM 2024 [contents]
• 2023
• 
  Hao Bu, Meng Sun:
  DeepPatch: A Patching-Based Method for Repairing Deep Neural Networks. DeepTest 2023: 25-32
• 
  Wentao Gao, Jiayuan He, Van-Thuan Pham:
  Metamorphic Testing of Machine Translation Models using Back Translation. DeepTest 2023: 1-8
• 
  Yi-Ching Lin, Fang Yu:
  DeepSHAP Summary for Adversarial Example Detection. DeepTest 2023: 17-24
• 
  Keita Sakuma, Ryuta Matsuno, Yoshio Kameda:
  A Method of Identifying Causes of Prediction Errors to Accelerate MLOps. DeepTest 2023: 9-16
• 
  IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest@ICSE 2023, Melbourne, Australia, May 15, 2023. IEEE 2023, ISBN 979-8-3503-3812-6 [contents]
• 2021
• 
  Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici:
  Machine Learning Model Drift Detection Via Weak Data Slices. DeepTest@ICSE 2021: 1-8
• 
  A. Giuliano Mirabella, Alberto Martin-Lopez, Sergio Segura, Luis Valencia-Cabrera, Antonio Ruiz-Cortés:
  Deep Learning-Based Prediction of Test Input Validity for RESTful APIs. DeepTest@ICSE 2021: 9-16
• 
  Niranjhana Narayanan, Karthik Pattabiraman:
  TF-DM: Tool for Studying ML Model Resilience to Data Faults. DeepTest@ICSE 2021: 25-28
• 
  Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella:
  A Review and Refinement of Surprise Adequacy. DeepTest@ICSE 2021: 17-24
• 
  3rd IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest@ICSE 2021, Madrid, Spain, June 1, 2021. IEEE 2021, ISBN 978-1-6654-4565-8 [contents]