Jack Mostow
Cited by
Cited by
Discriminative models for multi-class object layout
C Desai, D Ramanan, CC Fowlkes
International journal of computer vision 95 (1), 1-12, 2011
Learning a predictable and generative vector representation for objects
R Girdhar, DF Fouhey, M Rodriguez, A Gupta
European Conference on Computer Vision, 484-499, 2016
Toward better models of the design process
J Mostow
AI magazine 6 (1), 44-44, 1985
Security for daml web services: Annotation and matchmaking
G Denker, L Kagal, T Finin, M Paolucci, K Sycara
International Semantic Web Conference, 335-350, 2003
Direct Transfer of Learned Information Among Neural Networks.
LY Pratt, J Mostow, CA Kamm, AA Kamm
Aaai 91, 584-589, 1991
A prototype reading coach that listens
J Mostow, SF Roth, AG Hauptmann, M Kane
AAAI, 785-792, 1994
Machine transformation of advice into a heuristic search procedure
DJ Mostow
Machine learning, 367-403, 1983
Design by derivational analogy: Issues in the automated replay of design plans
J Mostow
Artificial Intelligence 40 (1-3), 119-184, 1989
Some useful tactics to modify, map and mine data from intelligent tutors
J Mostow, J Beck
Natural Language Engineering 12 (2), 195, 2006
Reading and pronunciation tutor
J Mostow
US Patent 5,920,838, 1999
An educational data mining tool to browse tutor-student interactions: Time will tell
J Mostow, J Beck, H Cen, A Cuneo, E Gouvea, C Heiner
Proceedings of the Workshop on Educational Data Mining, National Conference …, 2005
AAM derived face representations for robust facial action recognition
S Lucey, I Matthews, C Hu, Z Ambadar, F De la Torre, J Cohn
7th International Conference on Automatic Face and Gesture Recognition …, 2006
Evaluation of an automated Reading Tutor that listens: Comparison to human tutoring and classroom instruction
J Mostow, G Aist, P Burkhead, A Corbett, A Cuneo, S Eitelman, C Huang, ...
Journal of Educational Computing Research 29 (1), 61-117, 2003
Evaluating tutors that listen: An overview of Project LISTEN.
J Mostow
The MIT Press, 2001
How who should practice: Using learning decomposition to evaluate the efficacy of different types of practice for different types of students
JE Beck, J Mostow
International conference on intelligent tutoring systems, 353-362, 2008
Does help help? Introducing the Bayesian Evaluation and Assessment methodology
JE Beck, K Chang, J Mostow, A Corbett
International conference on intelligent tutoring systems, 383-394, 2008
Giving help and praise in a reading tutor with imperfect listening—because automated speech recognition means never being able to say you're certain
J Mostow, G Aist
CALICO journal, 407-424, 1999
A Bayes net toolkit for student modeling in intelligent tutoring systems
K Chang, J Beck, J Mostow, A Corbett
International Conference on Intelligent Tutoring Systems, 104-113, 2006
Automated reuse of design plans
J Mostow, M Barley, T Weinrich
Artificial Intelligence in Engineering 4 (4), 181-196, 1989
Looking ahead to select tutorial actions: A decision-theoretic approach
RC Murray, K VanLehn, J Mostow
International Journal of Artificial Intelligence in Education 14 (3, 4), 235-278, 2004
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