• 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 4,420 matches

• 2021
• 
  C. K. Kwong, Yi Xia, C. Y. Chan, W. H. Ip:
  Incorporating contracts with retailer into product line extension using Stackelberg game and nested bi-level genetic algorithms. Comput. Ind. Eng. 151: 106976 (2021)
• 
  Hamza Gharsellaoui, Jihen Maâzoun, Nadia Bouassida, Samir Ben Ahmed, Hanêne Ben-Abdallah:
  A Software Product Line Design Based Approach for Real-time Scheduling of Reconfigurable Embedded Systems. Comput. Hum. Behav. 115: 104925 (2021)
• 
  Georg Bechler, Claudius Steinhardt, Jochen Mackert, Robert Klein:
  Product line optimization in the presence of preferences for compromise alternatives. Eur. J. Oper. Res. 288(3): 902-917 (2021)
• 
  Carlos Diego Nascimento Damasceno, Mohammad Reza Mousavi, Adenilso da Silva Simão:
  Learning by sampling: learning behavioral family models from software product lines. Empir. Softw. Eng. 26(1): 4 (2021)
• 
  Paul Temple, Gilles Perrouin, Mathieu Acher, Battista Biggio, Jean-Marc Jézéquel, Fabio Roli:
  Empirical assessment of generating adversarial configurations for software product lines. Empir. Softw. Eng. 26(1): 6 (2021)
• 
  Megha Bhushan, José Ángel Galindo Duarte, Piyush Samant, Ashok Kumar, Arun Negi:
  Classifying and resolving software product line redundancies using an ontological first-order logic rule based method. Expert Syst. Appl. 168: 114167 (2021)
• 
  Mojahid F. Saeed Osman:
  A computational optimization method for scheduling resource-constraint sequence-dependent changeovers on multi-machine production lines. Expert Syst. Appl. 168: 114265 (2021)
• 
  Jorge Echeverría, Francisca Pérez, José Ignacio Panach, Carlos Cetina:
  An empirical study of performance using Clone & Own and Software Product Lines in an industrial context. Inf. Softw. Technol. 130: 106444 (2021)
• 
  Owe Axelsson, Zhao-Zheng Liang, Jakub Kruzik, David Horák:
  Inner product free iterative solution and elimination methods for linear systems of a three-by-three block matrix form. J. Comput. Appl. Math. 383: 113117 (2021)
• 
  Chen-Hsiang Yu, Jungpin Wu, Ming-Chi Liu, An-Chi Liu:
  Adopting Software Product Lines to Implement an Efficient Learning Analytics Framework in MOOCs. J. Inf. Sci. Eng. 37(1): 139-155 (2021)
• 
  Weimin Jiang, Jin Fan, Kailan Tian:
  Input-Output Production Structure and Non-Linear Production Possibility Frontier. J. Syst. Sci. Complex. 34(2): 706-723 (2021)
• 
  Hitesh Yadav, Rita Rana Chhikara, A. Charan Kumari:
  A novel hybrid approach for feature selection in software product lines. Multim. Tools Appl. 80(4): 4919-4942 (2021)
• 
  Reza Ramezanian, Sadjad Khalesi:
  Integration of multi-product supply chain network design and assembly line balancing. Oper. Res. 21(1): 453-483 (2021)
• 
  Hicham Touzani, Hicham Hadj-Abdelkader, Nicolas Séguy, Samia Bouchafa:
  Multi-Robot Task Sequencing & Automatic Path Planning for Cycle Time Optimization: Application for Car Production Line. IEEE Robotics Autom. Lett. 6(2): 1335-1342 (2021)
• 
  Jian Kang, Rui Jin, Xin Li, Yang Zhang:
  Mapping High Spatiotemporal-Resolution Soil Moisture by Upscaling Sparse Ground-Based Observations Using a Bayesian Linear Regression Method for Comparison with Microwave Remotely Sensed Soil Moisture Products. Remote. Sens. 13(2): 228 (2021)
• 
  Ziqiu Kang, Cagatay Catal, Bedir Tekinerdogan:
  Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks. Sensors 21(3): 932 (2021)
• 
  Zhen-Wei Li, Wen-Biao Gao, Bing-Zhao Li:
  A new kind of convolution, correlation and product theorems related to quaternion linear canonical transform. Signal Image Video Process. 15(1): 103-110 (2021)
• 
  Wenxing Yang, Gongping Huang, Jingdong Chen, Jacob Benesty, Israel Cohen, Walter Kellermann:
  Robust Dereverberation With Kronecker Product Based Multichannel Linear Prediction. IEEE Signal Process. Lett. 28: 101-105 (2021)
• 
  Feifan Wang, Feng Ju:
  Transient and Steady-State Analysis of Multistage Production Lines With Residence Time Limits. IEEE Trans Autom. Sci. Eng. 18(1): 122-134 (2021)
• 
  Fei-Yi Yan, Jun-Qiang Wang, Yang Li, Peng-Hao Cui:
  An Improved Aggregation Method for Performance Analysis of Bernoulli Serial Production Lines. IEEE Trans Autom. Sci. Eng. 18(1): 114-121 (2021)
• 
  Elena Gómez-Martínez, Juan de Lara, Esther Guerra:
  Extensible Structural Analysis of Petri Net Product Lines. Trans. Petri Nets Other Model. Concurr. 15: 27-49 (2021)
• 
  Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster:
  Matched and Mismatched Estimation of Kronecker Product of Linearly Structured Scatter Matrices Under Elliptical Distributions. IEEE Trans. Signal Process. 69: 603-616 (2021)
• 
  Gabriela Karoline Michelon, Lukas Linsbauer, Wesley K. G. Assunção, Stefan Fischer, Alexander Egyed:
  A Hybrid Feature Location Technique for Re-engineeringSingle Systems into Software Product Lines. VaMoS 2021: 11:1-11:9
• 
  Tobias Pett, Sebastian Krieter, Tobias Runge, Thomas Thüm, Malte Lochau, Ina Schaefer:
  Stability of Product-Line Samplingin Continuous Integration. VaMoS 2021: 18:1-18:9
• 
  Maya Retno Ayu Setyautami, Reiner Hähnle:
  An Architectural Pattern to Realize Multi Software Product Lines in Java. VaMoS 2021: 9:1-9:9
• 
  Leandro Flores da Silva, Edson Oliveira Jr.:
  SMartyModeling: an Environment for Engineering UML-based Software Product Lines. VaMoS 2021: 5:1-5:5
• 
  Anjali Sree-Kumar, Elena Planas, Robert Clarisó:
  Validating Feature Models With Respect to Textual Product Line Specifications. VaMoS 2021: 15:1-15:10
• 
  Ning Ge, Guanghao Li, Li Zhang, Yi Liu:
  Failure Prediction in Production Line Based on Federated Learning: An Empirical Study. CoRR abs/2101.11715 (2021)
• 
  Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Hoi-To Wai:
  On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning. CoRR abs/2102.00185 (2021)
• 2020
• 
  Sascha Lity:
  Model-Based Product-Line Regression Testing of Variants and Versions of Variants. Braunschweig University of Technology, Germany, 2020

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