Web service selection for resolving conflicting service requests G Kang, J Liu, M Tang, X Liu, KK Fletcher 2011 IEEE International Conference on Web Services, 387-394, 2011 | 92 | 2011 |
A collaborative filtering method for personalized preference-based service recommendation KK Fletcher, XF Liu 2015 IEEE International Conference on Web Services, 400-407, 2015 | 52 | 2015 |
Regularizing matrix factorization with implicit user preference embeddings for web API recommendation K Fletcher 2019 IEEE international conference on services computing (SCC), 1-8, 2019 | 50 | 2019 |
Security requirements analysis, specification, prioritization and policy development in cyber-physical systems KK Fletcher, X Liu 2011 Fifth International Conference on Secure Software Integration and …, 2011 | 41 | 2011 |
Elastic Personalized Nonfunctional Attribute Preference and Trade-off Based Service Selection KK Fletcher, XF Liu, M Tang ACM Transactions on the Web (TWEB) 9 (1), 1-26, 2015 | 38 | 2015 |
Service selection based on personalized preference and trade-offs among QoS factors and price X Liu, KK Fletcher, M Tang 2012 IEEE First International Conference on Services Economics, 32-39, 2012 | 30 | 2012 |
A quality-based web api selection for mashup development using affinity propagation KK Fletcher Services Computing–SCC 2018: 15th International Conference, Held as Part of …, 2018 | 27 | 2018 |
A knowledge graph based framework for web API recommendation B Kwapong, K Fletcher 2019 IEEE World Congress on Services (SERVICES) 2642, 115-120, 2019 | 25 | 2019 |
A method for dealing with data sparsity and cold-start limitations in service recommendation using personalized preferences KK Fletcher 2017 IEEE international conference on cognitive computing (ICCC), 72-79, 2017 | 25 | 2017 |
Design and implementation of a broker for cloud additive manufacturing services VP Modekurthy, XF Liu, KK Fletcher, MC Leu Journal of Manufacturing Science and Engineering 137 (4), 040904, 2015 | 25 | 2015 |
Personalized service recommendation based on user dynamic preferences BA Kwapong, R Anarfi, KK Fletcher Services Computing–SCC 2019: 16th International Conference, Held as Part of …, 2019 | 19 | 2019 |
A quality-aware web API recommender system for mashup development KK Fletcher Services Computing–SCC 2019: 16th International Conference, Held as Part of …, 2019 | 16 | 2019 |
Additive layering method using improved build description TE Sparks, KK Fletcher US Patent 9,757,902, 2017 | 15 | 2017 |
Cloud Security requirements analysis and security policy development using a high-order object-oriented modeling KK Fletcher Master of science, Computer Science, Missouri University of Science and …, 2010 | 15 | 2010 |
A reinforcement learning approach to web api recommendation for mashup development R Anarfi, KK Fletcher 2019 IEEE World Congress on Services (SERVICES) 2642, 372-373, 2019 | 14 | 2019 |
Multiscale and multiphysics modeling of additive manufacturing of advanced materials F Liou, J Newkirk, Z Fan, T Sparks, X Chen, K Fletcher, J Zhang, Y Zhang, ... | 14 | 2015 |
Web API recommendation via combining graph attention representation and deep factorization machines quality prediction B Cao, M Peng, Y Qing, J Liu, G Kang, B Li, KK Fletcher Concurrency and Computation: Practice and Experience, e7069, 2022 | 12 | 2022 |
A method for aggregating ranked services for personal preference based selection KK Fletcher International Journal of Web Services Research (IJWSR) 16 (2), 1-23, 2019 | 12 | 2019 |
Collaborative learning using LSTM-RNN for personalized recommendation BA Kwapong, R Anarfi, KK Fletcher Services Computing–SCC 2020: 17th International Conference, Held as Part of …, 2020 | 7 | 2020 |
A SOA approach to improve performance of metal additive manufacturing simulation KK Fletcher, TE Sparks, A Flood, F Liou 2017 IEEE International Conference on Cognitive Computing (ICCC), 140-143, 2017 | 7 | 2017 |