2024
A stable model for maximizing the number of significant features.
Int. J. Data Sci. Anal., May, 2024
2023
Story Ending Generation Using Commonsense Casual Reasoning and Graph Convolutional Networks.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
Hybrid Variational Autoencoder for Recommender Systems.
ACM Trans. Knowl. Discov. Data, 2022
2021
Dynamic swarm class rebalancing for the process mining of rare events.
J. Supercomput., 2021
Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction.
Int. J. Data Sci. Anal., 2021
Anchoring-and-Adjustment to Improve the Quality of Significant Features.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021
Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Curvilinear Collaborative Metric Learning with Macro-micro Attentions.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Hybrid Learning with Teacher-student Knowledge Distillation for Recommenders.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
2019
Enhancing portfolio return based on sentiment-of-topic.
Data Knowl. Eng., 2019
Short-Term Memory Variational Autoencoder for Collaborative Filtering.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Classifier Learning from Imbalanced Corpus by Autoencoded Over-Sampling.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Multitask Learning for Sparse Failure Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Helpfulness-Aware Matrix Factorization for Cross-Category Service Recommendations.
Proceedings of the 2019 IEEE International Conference on Services Computing, 2019
2018
Adaptive multi-objective swarm fusion for imbalanced data classification.
Inf. Fusion, 2018
Extreme Topic Model for Market eAlert Service.
Proceedings of the 2018 IEEE International Conference on Services Computing, 2018
2017
Emerging Service Orchestration Discovery and Monitoring.
IEEE Trans. Serv. Comput., 2017
The design of a cloud-based tracker platform based on system-of-systems service architecture.
Inf. Syst. Frontiers, 2017
Rare Event Prediction Using Similarity Majority Under-Sampling Technique.
Proceedings of the Soft Computing in Data Science - Third International Conference, 2017
A Multivariate Clustering Approach for Infrastructure Failure Predictions.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017
Prediction-as-a-Service for Meme Popularity.
Proceedings of the 2017 IEEE International Conference on Services Computing, 2017
2016
Self-regularized causal structure discovery for trajectory-based networks.
J. Comput. Syst. Sci., 2016
Enhancing portfolio return based on market-sentiment linked topics.
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016
Interrelationships of Service Orchestrations.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
Market-sentiment boosted predictions on multi-type time-series.
Proceedings of the Australasian Computer Science Week Multiconference, 2016
Service Selection Based on Dynamic QoS Networks.
Proceedings of the IEEE International Conference on Services Computing, 2016
2015
Web Service Recommendations Based on Time-Aware Bayesian Networks.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
2014
Online role mining for context-aware mobile service recommendation.
Pers. Ubiquitous Comput., 2014
Web Service Orchestration Topic Mining.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014
Causal Structure Discovery for Spatio-temporal Data.
Proceedings of the Database Systems for Advanced Applications, 2014
Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Traffic Analysis as a Service via a Unified Model.
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014
2013
Online Role Mining without Over-Fitting for Service Recommendation.
Proceedings of the 2013 IEEE 20th International Conference on Web Services, Santa Clara, CA, USA, June 28, 2013
A Bandwidth-Conscious Caching Scheme for Mobile Devices.
Proceedings of the IEEE International Congress on Big Data, 2013
Context-Aware Service Recommendation on High Performance Cluster.
Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013
Service Discovery Based on Objective and Subjective Measures.
Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013
2012
Over-Fitting and Error Detection for Online Role Mining.
Int. J. Web Serv. Res., 2012
Context-Aware Service Recommendation for Moving Connected Devices.
Proceedings of the 2012 International Conference on Connected Vehicles and Expo, 2012