Kenneth K. Fletcher | Publications

2023

X. Xie, J. Liu, B. Cao, M. Peng, G. Kang, Y. Wen, and K.K. Fletcher. 2023. A services classification method based on heterogeneous information networks and generative adversarial networks, International Journal of Web Services Research (IJWSR), 20 (1), 1-17 DOI: 10.4018/IJWSR.319960link

2022

D. Alao, E. Hamrick, S. Bhat, A. Sen and K.K. Fletcher. 2022. An IoT Simulator Tool for Provisioning Secure and Dynamic User-centric Services, International Conference on Internet of Things Honolulu, HI, USA, December 10–14, 2022, pp. 77–91, DOI: doi.org/10.1007/978-3-031-23582-5_6link
B. Kwapong, A. Sen, and K.K. Fletcher. 2022. ELECTRA-KG: A Transformer-Knowledge Graph Recommender System, International Conference on Services Computing Honolulu, HI, USA, December 10–14, 2022, pp. 56-70, DOI: doi.org/10.1007/978-3-031-23515-3_5link
R. Anarfi, A. Sen, and K.K. Fletcher. 2022. Boosting Item Coverage in Session-Based Recommendation, International Conference on Services Computing Honolulu, HI, USA, December 10–14, 2022, pp. 101-118, DOI: doi.org/10.1007/978-3-031-23515-3_8link
B. Amankwata and K.K. Fletcher. 2022. Context Preserving Data Augmentation for Sequential Recommendation, International Conference on Services Computing Honolulu, HI, USA, December 10–14, 2022, pp. 26-40, DOI: doi.org/10.1007/978-3-031-23515-3_3link
B. Amankwata and K.K. Fletcher. 2022. Contexts embedding for sequential service recommendation, IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) Los Alamitos, CA, USA, June 27–July 1, 2022, pp. 1087-1092, DOI: 10.1109/COMPSAC54236.2022.00170link
B. Cao, M. Peng, Y. Qing, J. Liu, G. Kang, B. Li, and K.K. Fletcher. 2022. Web API recommendation via combining graph attention representation and deep factorization machines quality prediction, Concurrency and Computation: Practice and Experience, e7069, 2022, pp. 1087-1092, DOI: 10.1109/COMPSAC54236.2022.00170link

2021

Y. Qing, B. Cao, M. Peng, L. Zhang, G. Kang, J. Liu, and K.K. Fletcher. 2021. AMSC: Adaptive Multi-channel Graph Convolutional Network-Enhanced Web Services Classification, IEEE 23rd Int Conf on High Performance Computing & Communications Virtual, September 2021, pp. 8-17, DOI: 10.1109/SMDS53860.2021.00012link
L. Zhang, B. Cao, M. Peng, Y. Qing, G. Kang, J. Liu, and K.K. Fletcher. 2021. Bilinear Graph Neural Network-Enhanced Web Services Classification, IEEE 23rd Int Conf on High Performance Computing & Communications Virtual, September 2021, pp. 8-17, DOI: 10.1109/SMDS53860.2021.00012link
O Oyeniyi, SS Dhandhukia, A Sen, and K.K. Fletcher. 2021. A Study of Artificial Intelligence Frameworks and Their Capability to Diagnose Major Depressive Disorder, International Conference on Service-Oriented Computing Virtual, September 2021, pp. 8-17, DOI: 10.1109/SMDS53860.2021.00012link
R. Anarfi, B.A. Kwapong, and K.K. Fletcher. 2021. Towards a Reinforcement Learning-based Exploratory Search for Mashup Tag Recommendation, IEEE International Conference on Smart Data Services (SMDS) Virtual, September 2021, pp. 8-17, DOI: 10.1109/SMDS53860.2021.00012link
R. Anarfi, B.A. Kwapong, K.K. Fletcher, T. Sparks, A. Flood and M. Joshi. 2021. Inference of Metal Additive Manufacturing Process States via Deep Learning Techniques, International Solid Freeform Fabrication Symposium Virtual, August 2021, pp. 1295-1308, DOI: dx.doi.org/10.26153/tsw/17645link

2020

R. Anarfi, B.A. Kwapong and K.K. Fletcher. 2020. desc2tag: A Reinforcement Learning Approach to Mashup Tag Recommendation, IEEE International Conference On Services Computing (SCC) Virtual, August 2020, pp. 475-477, DOI: 10.1109/SCC49832.2020.00073link
B.A. Kwapong, R. Anarfi and K.K. Fletcher. 2020. A Knowledge Graph Approach to Mashup Tag Recommendation, IEEE International Conference on Services Computing (SCC) Virtual, August 2020, pp. 92-99, DOI: 10.1109/SCC49832.2020.00021link
B.A. Kwapong, R. Anarfi and K.K. Fletcher. 2020. Collaborative Learning Using LSTM-RNN for Personalized Recommendation, International Conference on Services Computing Virtual, August 2020, pp. 35-49, DOI: 10.1007/978-3-030-59592-0_3link
E. Adeborna and K.K. Fletcher. 2020. An Empirical Study of Web API Quality Formulation, International Conference on Services Computing Virtual, August 2020, pp. 35-49, DOI: 10.1007/978-3-030-59592-0_10link
K.K. Fletcher. 2020. An Attention Model for Mashup Tag Recommendation, International Conference on Services Computing Virtual, August 2020, pp. 50-64, DOI: 10.1007/978-3-030-59592-0_4link

2019

A. Sen, K.K. Fletcher and S. Madria. 2019. A Secure User-Centric Framework for Dynamic Service Provisioning in IoT Environments, IEEE International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom) Rotorua, New Zealand, August 2019, pp. 334-341, DOI: 10.1109/TrustCom/BigDataSE.2019.00052link
K.K. Fletcher. 2019. Regularizing matrix factorization with implicit user preference embeddings for web api recommendation, IEEE International Conference on Services Computing (SCC) Milan, Italy, July 2019, pp. 115-120, DOI: 10.1109/SCC.2019.00014link
B.A. Kwapong and K.K. Fletcher. 2019. A Knowledge Graph Based Framework for Web API Recommendation, IEEE World Congress on Services (SERVICES) Milan, Italy, July 2019, pp. 115-120, DOI: 10.1109/SERVICES.2019.00039link
R. Anarfi and K.K. Fletcher. 2019. A Reinforcement Learning Approach to Web API Recommendation for Mashup Development, IEEE World Congress on Services (SERVICES) Milan, Italy, July 2019, pp. 372-373, DOI: 10.1109/SERVICES.2019.00109link
K.K. Fletcher. 2019. A method for aggregating ranked services for personal preference based selection, International Journal of Web Services Research (IJWSR) 2019 16(2) pp. 1-23, DOI: 10.4018/IJWSR.2019040101link
K.K. Fletcher. 2019. A Quality-Aware Web API Recommender System for Mashup Development, In International Conference on Services Computing. Lecture Notes in Computer Science vol 11515, pp. 1-15, Springer, Cham. https://doi.org/10.1007/978-3-030-23554-3_1 link
B.A. Kwapong, R. Anarfi and K.K. Fletcher. 2019. Personalized Service Recommendation Based on User Dynamic Preferences, In International Conference on Services Computing. Lecture Notes in Computer Science vol 11515, pp. 77-91, Springer, Cham. https://doi.org/10.1007/978-3-030-23554-3_6 link

2018

K.K. Fletcher. 2018. A Quality-Based Web API Selection for Mashup Development Using Affinity Propagation, In International Conference on Services Computing. Lecture Notes in Computer Science vol 10969, pp. 153-165, Springer, Cham. https://doi.org/10.1007/978-3-319-94376-3_10 link
I.K. Aidoo, K.K. Fletcher. and A.B. Asiedu-Asante. 2018. Innovation - the key for developing countries, International Journal of Innovation in Education vol 5(2), pp. 142-163, Inderscience Publishers (IEL). https://doi.org/10.1504/IJIIE.2018.097855 link

2017

K.K. Fletcher. 2017. A Method for dealing with Data Spasity and Cold-Start Limitations in Service Recommendation using Personalized Preferences, In Proceedings of the 1st IEEE International Conference on Cognitive Computing (ICCC) Honolulu, HI, June 2017.link
K.K. Fletcher, T. E. Sparks, A. Flood and F. Liou. 2017. A SOA Approach to Improve Performance of Metal Additive Manufacturing Simulations, In Proceedings of the 1st IEEE International Conference on Cognitive Computing (ICCC) Honolulu, HI, June 2017.link

2015

T. E. Sparks and K. K. Fletcher. 2015. Additive Layering Method using Improved Build Description. U.S. Patent 14/643,812, March 2015.link
K. K. Fletcher, X. F. Liu and M. Tang. 2015. Elastic Personalized Non-Functional Attribute Preference and Trade-off based Service Selection, ACM Transactions on the Web, 2015 9 (1), 1-26 DOI: dx.doi.org/ 10.1145/2697389link
V. P. Modekurthy, X. F. Liu, K. K. Fletcher, and M. C. Leu. 2015. Design and Implementation of a Broker for Cloud Additive Manufacturing Services, Journal of Manufacturing Science and Engineering ,link
F. Liou, J. Newkirk, Z. Fan, T. Sparks, X. Chen, K. K. Fletcher, J. Zhang, Y. Zhang, K. S. Kumar, and S. Karnati. 2015. Multiscale and Multiphysics Modeling of Additive Manufacturing of Advanced Materials, NASA scientific and technical information (STI)link
K. K. Fletcher, and X. F. Liu. 2015. A Collaborative Filtering Method for Personalized Preference-Based Service Recommendation, In Proceedings of the 22nd IEEE International Conference on Web Services (ICWS), New York, NY, June 2015, pp.400-407, DOI: dx.doi.org/10.1109/ICWS.2015.60 (Conference acceptance rate 17.4%)link
V. P. Modekurthy, K. K. Fletcher, X. F. Liu, and M. C. Leu. 2015. Personal Preference and Trade-Off Based Additive Manufacturing Web Service Selection, In Proceedings of the 22nd IEEE International Conference on Web Services (ICWS), New York, NY, June 2015, pp.440-447, DOI: dx.doi.org/10.1109/ICWS.2015.65 (Conference acceptance rate 17.4%)link

2014

K. K. Fletcher, X. F. Liu and M. X. Cheng. 2014. Aggregating Ranked Services for Selection, In Proceedings of the 11th IEEE International Conference on Service Computing, Anchorage, AK, June 2014, pp.331-338, DOI: dx.doi.org/ doi: 10.1109/SCC.2014.51 (Conference acceptance rate 19%)link
I. H. Selvi, T. O. Ozcelik, K. K. Fletcher, O. Iyibilgin, M. C. Leu, F. X. Liu. 2014. A Framework and Prototype System for Cloud - Based Additive Manufacturing, In Proceedings of the International Symposium on Flexible Automation (ISFA 2014), Awaji-Island, Hyogo, Japan, July 2014.link

2012

X. F. Liu, K. K. Fletcher, and M. Tang. 2012. Service Selection Based on Personalized Preference and Trade-Offs among QoS Factors and Price, In Proceedings of the 1st IEEE International Conference on Services Economics, Honolulu, HI, June 2012, pp. 32-39, DOI: dx.doi.org/ 10.1109/SE.2012.5 (Conference acceptance rate 17.6%)link

2011

G. Kang, J. Liu, M. Tang, X. F. Liu, K. K. Fletcher. 2011. Web Service Selection for Resolving Conflicting Service Requests, In Proceedings of the 9th IEEE International Conference on Web Services (ICWS), Washington, DC, July 2011, pp.387-394, DOI: dx.doi.org/10.1109/ICWS.2011.37 (Conference acceptance rate 14%)link
K. K. Fletcher and X. F. Liu. 2011. Security Requirements Analysis, Specification, Prioritization and Policy Development in Cyber-Physical Systems, In Proceedings of the 5th IEEE International Conference on Secure Software Integration & Reliability Improvement Companion (SSIRI-C), Jeju Island, Korea, June 2011, pp.106-113, DOI: dx.doi.org/10.1109/SSIRI-C.2011.25 (Conference acceptance rate 32.14%)link
K. K. Fletcher and X. F. Liu. 2011. Cloud Security Requirements Analysis and Security Policy Development using HOOMT, In Cloud Computing: Methodology, System, and Applications, 2011, Lizhe Wang, Boca Raton: CRC, Taylor & Francis Group.link