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ORCIDJosé P. González-Brenes
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2010 – 2019
- 2019
[c19]Luis Armona, José P. González-Brenes, Ralph Edezhath:
Beyond Word Embeddings: Dense Representations for Multi-Modal Data. FLAIRS 2019: 149-154- 2018
- [c18]José P. González-Brenes, Ralph Edezhath:
Inferring Course Enrollment from Partial Data. AIED (2) 2018: 429-432 - 2016
- [c17]Yetian Chen, José P. González-Brenes, Jin Tian:
Joint Discovery of Skill Prerequisite Graphs and Student Models. EDM 2016: 46-53 - [c16]Mohammad Hassan Falakmasir, José P. González-Brenes, Geoffrey J. Gordon, Kristen E. DiCerbo:
A Data-Driven Approach for Inferring Student Proficiency from Game Activity Logs. L@S 2016: 341-349 - 2015
- [c15]José P. González-Brenes, Yun Huang:
Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems. AIED Workshops 2015 - [c14]Yun Huang, José P. González-Brenes, Peter Brusilovsky
:
Challenges of Using Observational Data to Determine the Importance of Example Usage. AIED 2015: 633-637 - [c13]José P. González-Brenes:
Modeling Skill Acquisition Over Time with Sequence and Topic Modeling. AISTATS 2015 - [c12]José P. González-Brenes, Yun Huang:
Your Model Is Predictive - but Is It Useful? Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation. EDM 2015: 187-194 - [c11]Yun Huang, José P. González-Brenes, Rohit Kumar, Peter Brusilovsky:
A Framework for Multifaceted Evaluation of Student Models. EDM 2015: 203-210 - 2014
- [c10]Yun Huang, José P. González-Brenes, Peter Brusilovsky:
General Features in Knowledge Tracing to Model Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge. EDM 2014: 84-91 - [c9]Antonio Moretti, José P. González-Brenes, Katherine McKnight:
Mining the Web to Leverage Collective Intelligence and Learn Student Preferences. EDM (Workshops) 2014 - [c8]Antonio Moretti, José P. González-Brenes, Katherine McKnight:
Data-Driven Curriculum Design: Mining the Web to Make Better Teaching Decisions. EDM 2014: 421-422 - [c7]Mohammad Khajah, Yun Huang, José P. González-Brenes, Michael Mozer, Peter Brusilovsky:
Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks. UMAP Workshops 2014 - 2013
- [c6]José P. González-Brenes, Jack Mostow:
What and When do Students Learn? Fully Data-Driven Joint Estimation of Cognitive and Student Models. EDM 2013: 236-239 - 2012
- [c5]José P. González-Brenes, Jack Mostow:
Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models. EDM 2012: 49-56 - 2011
- [j1]José P. González-Brenes, Jack Mostow:
Classifying dialogue in high-dimensional space. ACM Trans. Speech Lang. Process. 7(3): 8:1-8:15 (2011) - [c4]Jack Mostow, José P. González-Brenes, Bao Hong (Lucas) Tan:
Learning Classifiers From a Relational Database of Tutor Logs. EDM 2011: 149-158 - [c3]José P. González-Brenes, Jack Mostow, Weisi Duan:
How to Classify Tutorial Dialogue? Comparing Feature Vectors vs. Sequences. EDM 2011: 169-178 - [c2]José P. González-Brenes, Jack Mostow:
Which System Differences Matter? Using L1/L2 Regularization to Compare Dialogue Systems. SIGDIAL Conference 2011: 8-17 - 2010
- [c1]José P. González-Brenes, Jack Mostow:
Predicting Task Completion from Rich but Scarce Data. EDM 2010: 291-292
Coauthor Index
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