José P. González-Brenes

20 papers A 2B 11Misc 1Journal 1Unranked 5

Year	Rank	Type	Title / Venue / Authors
2019	Misc	`conf`	Beyond Word Embeddings: Dense Representations for Multi-Modal Data. FLAIRS Luis Armona, José P. González-Brenes, Ralph Edezhath
2018	—	`conf`	Inferring Course Enrollment from Partial Data. AIED (2) José P. González-Brenes, Ralph Edezhath
2016	B	`conf`	A Data-Driven Approach for Inferring Student Proficiency from Game Activity Logs. L@S Mohammad Hassan Falakmasir, José P. González-Brenes, Geoffrey J. Gordon, Kristen E. DiCerbo
2016	B	`conf`	Joint Discovery of Skill Prerequisite Graphs and Student Models. EDM Yetian Chen, José P. González-Brenes, Jin Tian
2015	B	`conf`	A Framework for Multifaceted Evaluation of Student Models. EDM Yun Huang, José P. González-Brenes, Rohit Kumar, Peter Brusilovsky
2015	A	`conf`	Challenges of Using Observational Data to Determine the Importance of Example Usage. AIED Yun Huang, José P. González-Brenes, Peter Brusilovsky
2015	A	`conf`	Modeling Skill Acquisition Over Time with Sequence and Topic Modeling. AISTATS José P. González-Brenes
2015	—	`conf`	Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems. AIED Workshops José P. González-Brenes, Yun Huang
2015	B	`conf`	Your Model Is Predictive - but Is It Useful? Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation. EDM José P. González-Brenes, Yun Huang
2014	B	`conf`	Data-Driven Curriculum Design: Mining the Web to Make Better Teaching Decisions. EDM Antonio Moretti, José P. González-Brenes, Katherine McKnight
2014	B	`conf`	General Features in Knowledge Tracing to Model Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge. EDM Yun Huang, José P. González-Brenes, Peter Brusilovsky
2014	—	`conf`	Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks. UMAP Workshops Mohammad Khajah, Yun Huang, José P. González-Brenes, Michael Mozer, Peter Brusilovsky
2014	—	`conf`	Mining the Web to Leverage Collective Intelligence and Learn Student Preferences. EDM (Workshops) Antonio Moretti, José P. González-Brenes, Katherine McKnight
2013	B	`conf`	What and When do Students Learn? Fully Data-Driven Joint Estimation of Cognitive and Student Models. EDM José P. González-Brenes, Jack Mostow
2012	B	`conf`	Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models. EDM José P. González-Brenes, Jack Mostow
2011	J	`jnl`	Classifying dialogue in high-dimensional space. ACM Trans. Speech Lang. Process. José P. González-Brenes, Jack Mostow
2011	B	`conf`	How to Classify Tutorial Dialogue? Comparing Feature Vectors vs. Sequences. EDM José P. González-Brenes, Jack Mostow, Weisi Duan
2011	B	`conf`	Learning Classifiers From a Relational Database of Tutor Logs. EDM Jack Mostow, José P. González-Brenes, Bao Hong (Lucas) Tan
2011	—	`conf`	Which System Differences Matter? Using L1/L2 Regularization to Compare Dialogue Systems. SIGDIAL Conference José P. González-Brenes, Jack Mostow
2010	B	`conf`	Predicting Task Completion from Rich but Scarce Data. EDM José P. González-Brenes, Jack Mostow