Segui
Chen (Liana) Lin
Titolo
Citata da
Citata da
Anno
Early diagnosis and prediction of sepsis shock by combining static and dynamic information using convolutional-LSTM
C Lin, Y Zhang, J Ivy, M Capan, R Arnold, JM Huddleston, M Chi
2018 IEEE international conference on healthcare informatics (ICHI), 219-228, 2018
952018
Deep Learning vs. Bayesian Knowledge Tracing: Student Models for Interventions.
Y Mao
Journal of educational data mining 10 (2), 2018
662018
Intervention-bkt: incorporating instructional interventions into bayesian knowledge tracing
C Lin, M Chi
Intelligent Tutoring Systems: 13th International Conference, ITS 2016 …, 2016
462016
Lstm for septic shock: Adding unreliable labels to reliable predictions
Y Zhang, C Lin, M Chi, J Ivy, M Capan, JM Huddleston
2017 IEEE International Conference on Big Data (Big Data), 1233-1242, 2017
372017
Mono2micro: an ai-based toolchain for evolving monolithic enterprise applications to a microservice architecture
AK Kalia, J Xiao, C Lin, S Sinha, J Rofrano, M Vukovic, D Banerjee
Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020
282020
Incorporating student response time and tutor instructional interventions into student modeling
C Lin, S Shen, M Chi
Proceedings of the 2016 Conference on user modeling adaptation and …, 2016
262016
A comparisons of bkt, rnn and lstm for learning gain prediction
C Lin, M Chi
Artificial Intelligence in Education: 18th International Conference, AIED …, 2017
242017
Going deeper: Automatic short-answer grading by combining student and question models
Y Zhang, C Lin, M Chi
User modeling and user-adapted interaction 30 (1), 51-80, 2020
192020
NL2API: A framework for bootstrapping service recommendation using natural language queries
C Lin, A Kalia, J Xiao, M Vukovic, N Anerousis
2018 IEEE international conference on web services (ICWS), 235-242, 2018
162018
Facilitation of domain and client-specific application program interface recommendations
N Anerousis, A Kalia, C Lin, M Vukovic, J Xiao
US Patent 10,803,108, 2020
82020
Generation of microservices from a monolithic application based on runtime traces
J Xiao, A Kalia, C Lin, R Batta, S Sinha, J Rofrano, M Vukovic
US Patent 11,176,027, 2021
72021
Multi-layer facial representation learning for early prediction of septic shock
C Lin, J Ivy, M Chi
2019 IEEE International Conference on Big Data (Big Data), 840-849, 2019
72019
Comparisons of BKT, RNN and LSTM for predicting student learning gains
C Lin, M Chi
AIED, 2017
42017
Facilitation of domain and client-specific application program interface recommendations
N Anerousis, A Kalia, C Lin, M Vukovic, J Xiao
US Patent 10,831,772, 2020
32020
Contrastive neural network training in an active learning environment
C Lin, H Sun, J Rofrano, M Vukovic
US Patent 11,501,165, 2022
22022
Artificial intelligence optimized cloud migration
H Sun, J Rofrano, M Vukovic, C Lin
US Patent App. 16/919,178, 2022
22022
Cloud readiness planning tool (CRPT): An AI-based framework to automate migration planning
C Lin, H Sun, J Hwang, M Vukovic, J Rofrano
2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 58-62, 2019
22019
Generation of microservices from a monolithic application based on runtime traces
J Xiao, A Kalia, C Lin, R Batta, S Sinha, J Rofrano, M Vukovic
US Patent 11,663,115, 2023
12023
Automated validity evaluation for dynamic amendment
C Lin, J Rofrano, A Kalia, M Vukovic, J Hwang, J Ma, L Mei, YB Dang
US Patent 11,520,783, 2022
12022
Advantages and challenges of using ai planning in cloud migration
H Sun, M Vukovic, J Rofrano, C Lin
Scheduling and Planning Applications Workshop, 2019
12019
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