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ORCIDMehran Sahami
Person information
- affiliation: Stanford University, USA
- award: ACM Presidential Award, 2014
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Books and Theses
- 1998
[b1]Mehran Sahami:
Using machine learning to improve information access. Stanford University, USA, 1998
Journal Articles
- 2018
- [j14]Mehran Sahami:
Paving a path to more inclusive computing. Inroads 9(4): 85-88 (2018) - 2016
- [j13]Mehran Sahami, Pat Yongpradit, Elizabeth K. Hawthorne, Yan Timanovsky:
EduBits. Inroads 7(4): 8-11 (2016) - 2015
- [j12]Mehran Sahami:
Computer science curricula 2013 (CS2013): AI and the intelligent systems knowledge area. AI Matters 1(3): 4-5 (2015) - [j11]Steve Roach, Mehran Sahami:
CS2013: Computer Science Curricula 2013. Computer 48(3): 114-116 (2015) - 2014
- [j10]Mehran Sahami, Steve Roach:
Computer science curricula 2013 released. Commun. ACM 57(6): 5 (2014) - 2013
- [j9]Steve Cooper, Mehran Sahami:
Reflections on Stanford's MOOCs. Commun. ACM 56(2): 28-30 (2013) - [j8]Mehran Sahami, Steve Roach:
Computer Science curricula 2013: getting involved and getting ready. ACM SIGCSE Bull. 45(2): 5-6 (2013) - [j7]Hadi Partovi, Mehran Sahami:
The hour of code is coming! ACM SIGCSE Bull. 45(4): 5 (2013) - 2011
- [j6]Marie desJardins, Mehran Sahami, Kiri Wagstaff:
EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence. AI Mag. 32(1): 91-92 (2011) - 2008
- [j5]Marcello Balduccini, Chitta Baral, Boyan Brodaric, Simon Colton, Peter Fox, David Gutelius, Knut Hinkelmann, Ian Horswill, Bernardo A. Huberman, Eva Hudlicka, Kristina Lerman, Christine L. Lisetti, Deborah L. McGuinness
, Mary Lou Maher, Mark A. Musen, Mehran Sahami, Derek H. Sleeman, Barbara Thönssen, Juan D. Velásquez, Dan Ventura:
AAAI 2008 Spring Symposia Reports. AI Mag. 29(3): 107-115 (2008) - 2003
- [j4]Luis Gravano, Panagiotis G. Ipeirotis, Mehran Sahami:
QProber: A system for automatic classification of hidden-Web databases. ACM Trans. Inf. Syst. 21(1): 1-41 (2003) - 2002
- [j3]Luis Gravano, Panagiotis G. Ipeirotis, Mehran Sahami:
Query- vs. Crawling-based Classification of Searchable Web Databases. IEEE Data Eng. Bull. 25(1): 43-50 (2002) - 2000
- [j2]Ron Kohavi, Mehran Sahami:
Integrating Data Mining into Vertical Solutions. SIGKDD Explor. 1(2): 55-58 (2000) - 1997
- [j1]Pat Langley, Karl Pfleger, Mehran Sahami:
Lazy Acquisition of Place Knowledge. Artif. Intell. Rev. 11(1-5): 315-342 (1997)
Conference and Workshop Papers
- 2023
- [c58]Stacy A. Doore, Atri Rudra, Omowumi Ogunyemi, Trystan S. Goetze, Mehran Sahami, Thomas J. Cortina, Kiran Bhardwaj, Crystal Lee:
Teaching Responsible Computing in Context: Models, Practices, and Tools. SIGCSE (2) 2023: 1185 - 2022
- [c57]Mehran Sahami, Owen L. Astrachan, Sandy Czajka, Adrienne Decker, Jennifer Rosato:
Should the AP Computer Science A Exam Switch to Using Python? SIGCSE (2) 2022: 1015-1016 - 2021
- [c56]Sonja Johnson-Yu, Nicholas Bowman, Mehran Sahami, Chris Piech:
SimGrade: Using Code Similarity Measures for More Accurate Human Grading. EDM 2021 - [c55]Christopher Piech, Ali Malik, Kylie Jue, Mehran Sahami:
Code in Place: Online Section Leading for Scalable Human-Centered Learning. SIGCSE 2021: 973-979 - 2020
- [c54]Rob Reich, Mehran Sahami, Jeremy M. Weinstein, Hilary Cohen:
Teaching Computer Ethics: A Deeply Multidisciplinary Approach. SIGCSE 2020: 296-302 - [c53]Stacy A. Doore, Casey Fiesler, Michael S. Kirkpatrick, Evan Peck, Mehran Sahami:
Assignments that Blend Ethics and Technology. SIGCSE 2020: 475-476 - 2019
- [c52]Alison Derbenwick Miller, Christine Alvarado, Mehran Sahami, Elsa Q. Villa, Stuart H. Zweben:
Wrestling with Retention in the CS Major: Report from the ACM Retention Committee. SIGCSE 2019: 807-808 - 2018
- [c51]Lisa Yan, Nick McKeown, Mehran Sahami, Chris Piech:
TMOSS: Using Intermediate Assignment Work to Understand Excessive Collaboration in Large Classes. SIGCSE 2018: 110-115 - [c50]Colleen M. Lewis, Leslie Aaronson, Eric Allatta, Zachary Dodds, Jeffrey Forbes, Kyla A. McMullen, Mehran Sahami:
Five Slides About: Abstraction, Arrays, Uncomputability, Networks, Digital Portfolios, and the CS Principles Explore Performance Task. SIGCSE 2018: 269-270 - [c49]Henry M. Walker, Mehran Sahami, Christine Alvarado:
Challenges and Approaches for Data Collection to Understand Student Retention: (Abstract Only). SIGCSE 2018: 1062 - 2017
- [c48]Jeffrey Forbes, David J. Malan, Heather Pon-Barry, Stuart Reges, Mehran Sahami:
Scaling Introductory Courses Using Undergraduate Teaching Assistants. SIGCSE 2017: 657-658 - 2016
- [c47]Mehran Sahami:
Statistical Modeling to Better Understand CS Students. ITiCSE 2016: 1 - [c46]Mehran Sahami, Chris Piech:
As CS Enrollments Grow, Are We Attracting Weaker Students? SIGCSE 2016: 54-59 - 2015
- [c45]Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas J. Guibas:
Learning Program Embeddings to Propagate Feedback on Student Code. ICML 2015: 1093-1102 - [c44]Chris Piech, Mehran Sahami, Jonathan Huang, Leonidas J. Guibas:
Autonomously Generating Hints by Inferring Problem Solving Policies. L@S 2015: 195-204 - [c43]Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein:
Deep Knowledge Tracing. NIPS 2015: 505-513 - 2014
- [c42]Mehran Sahami, Jace Kohlmeier, Peter Norvig, Andreas Paepcke, Amin Saberi:
Panel: online learning platforms and data science. L@S 2014: 137-138 - [c41]Mehran Sahami, Steve Roach, Ernesto Cuadros-Vargas, Elizabeth K. Hawthorne, Amruth Kumar, Richard LeBlanc, David Reed, Remzi Seker:
ACM/IEEE-CS computer science curricula 2013: implementing the final report. SIGCSE 2014: 175-176 - [c40]David Reed, Andrea Danyluk, Elizabeth K. Hawthorne, Mehran Sahami, Henry M. Walker:
Experiences mapping and revising curricula with CS2013. SIGCSE 2014: 367-368 - 2013
- [c39]Steve Roach, Mehran Sahami, Richard LeBlanc, Remzi Seker:
Special session: The CS2013 Computer Science curriculum guidelines project. FIE 2013: 1311-1313 - [c38]Mehran Sahami, Steve Roach, Ernesto Cuadros-Vargas, Richard LeBlanc:
ACM/IEEE-CS computer science curriculum 2013: reviewing the ironman report. SIGCSE 2013: 13-14 - [c37]Katie Redmond, Sarah Evans, Mehran Sahami:
A large-scale quantitative study of women in computer science at Stanford University. SIGCSE 2013: 439-444 - [c36]Mehran Sahami, Mark Guzdial, Fred G. Martin, Nick Parlante:
The revolution will be televised: perspectives on massive open online education. SIGCSE 2013: 457-458 - 2012
- [c35]Steve Roach, Mehran Sahami, Richard LeBlanc:
Special session: The CS2013 Computer Science curriculum guidelines project. FIE 2012: 1-2 - [c34]Mehran Sahami, Steve Roach, Ernesto Cuadros-Vargas, David Reed:
Computer science curriculum 2013: reviewing the strawman report from the ACM/IEEE-CS task force. SIGCSE 2012: 3-4 - [c33]Chris Piech, Mehran Sahami, Daphne Koller, Steve Cooper, Paulo Blikstein:
Modeling how students learn to program. SIGCSE 2012: 153-160 - 2011
- [c32]Mehran Sahami, Steve Roach, Richard LeBlanc:
Special session - The CS2013 computer science curriculum guidelines project. FIE 2011: 2 - [c31]Mehran Sahami, Marie desJardins, Zachary Dodds, Todd W. Neller:
Educational advances in artificial intelligence. SIGCSE 2011: 81-82 - [c30]Mehran Sahami, Mark Guzdial, Andrew D. McGettrick, Steve Roach:
Setting the stage for computing curricula 2013: computer science - report from the ACM/IEEE-CS joint task force. SIGCSE 2011: 161-162 - [c29]Mehran Sahami:
A course on probability theory for computer scientists. SIGCSE 2011: 263-268 - 2010
- [c28]Mehran Sahami, Alex Aiken, Julie Zelenski:
Expanding the frontiers of computer science: designing a curriculum to reflect a diverse field. SIGCSE 2010: 47-51 - 2009
- [c27]Nick Parlante, Thomas P. Murtagh, Mehran Sahami, Owen L. Astrachan, David Reed, Christopher A. Stone, Brent Heeringa, Karen L. Reid:
Nifty assignments. SIGCSE 2009: 483-484 - 2008
- [c26]Mehran Sahami:
Organizing Committee. AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science 2008: 2- - [c25]Manish Patel, Rich Gossweiler, Mehran Sahami, John Blackburn, David Brown, Andrea Knight:
Google TV search: dual-wielding search and discovery in a large-scale product. UXTV 2008: 95-104 - 2006
- [c24]Ron Bekkerman, Mehran Sahami, Erik G. Learned-Miller:
Combinatorial Markov Random Fields. ECML 2006: 30-41 - [c23]Mehran Sahami:
Mining the Web to Determine Similarity Between Words, Objects, and Communities. FLAIRS 2006: 14-19 - [c22]Mehran Sahami, Timothy D. Heilman:
A web-based kernel function for measuring the similarity of short text snippets. WWW 2006: 377-386 - 2005
- [c21]Mikhail Bilenko, Sugato Basu, Mehran Sahami:
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping. ICDM 2005: 58-65 - [c20]Ellen Spertus, Mehran Sahami, Orkut Buyukkokten:
Evaluating similarity measures: a large-scale study in the orkut social network. KDD 2005: 678-684 - 2004
- [c19]Shumeet Baluja, Mehran Sahami, Henry A. Rowley:
Efficient face orientation discrimination. ICIP 2004: 589-592 - [c18]Mehran Sahami, Vibhu O. Mittal, Shumeet Baluja, Henry A. Rowley:
The Happy Searcher: Challenges in Web Information Retrieval. PRICAI 2004: 3-12 - 2001
- [c17]Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami:
PERSIVAL demo: categorizing hidden-web resources. JCDL 2001: 454 - [c16]Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami:
Probe, Count, and Classify: Categorizing Hidden Web Databases. SIGMOD Conference 2001: 67-78 - 2000
- [c15]Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami:
Automatic Classification of Text Databases Through Query Probing. WebDB (Informal Proceedings) 2000: 117-122 - [c14]Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami:
Automatic Classification of Text Databases Through Query Probing. WebDB (Selected Papers) 2000: 245-255 - 1998
- [c13]Susan T. Dumais, John C. Platt, David Hecherman, Mehran Sahami:
Inductive Learning Algorithms and Representations for Text Categorization. CIKM 1998: 148-155 - [c12]Mehran Sahami, Salim Yusufali, Michelle Q. Wang Baldonado:
SONIA: A Service for Organizing Networked Information Autonomously. ACM DL 1998: 200-209 - 1997
- [c11]Mehran Sahami:
Applications of Machine Learning to Information Access. AAAI/IAAI 1997: 816 - [c10]Mehran Sahami, Salim Yusufali, Michelle Q. Wang Baldonado:
Real-Time Full-Text Clustering of Networked Documents. AAAI/IAAI 1997: 845 - [c9]Daphne Koller, Mehran Sahami:
Hierarchically Classifying Documents Using Very Few Words. ICML 1997: 170-178 - 1996
- [c8]Daphne Koller, Mehran Sahami:
Toward Optimal Feature Selection. ICML 1996: 284-292 - [c7]Mehran Sahami, Marti A. Hearst, Eric Saund:
Applying the Multiple Cause Mixture Model to Text Categorization. ICML 1996: 435-443 - [c6]Ron Kohavi, Mehran Sahami:
Error-Based and Entropy-Based Discretization of Continuous Features. KDD 1996: 114-119 - [c5]Mehran Sahami:
Learning Limited Dependence Bayesian Classifiers. KDD 1996: 335-338 - 1995
- [c4]Mehran Sahami:
Generating Neural Networks Through the Induction of Threshold Logic Unit Trees (Extended Abstract). ECML 1995: 339-342 - [c3]Mehran Sahami:
Learning Classification Rules Using Lattices (Extended Abstract). ECML 1995: 343-346 - [c2]James Dougherty, Ron Kohavi, Mehran Sahami:
Supervised and Unsupervised Discretization of Continuous Features. ICML 1995: 194-202 - 1993
- [c1]Mehran Sahami:
Learning Non-Linearly Separable Boolean Functions With Linear Threshold Unit Trees and Madaline-Style Networks. AAAI 1993: 335-341
Editorship
- 2014
- [e2]Mehran Sahami, Armando Fox, Marti A. Hearst, Michelene T. H. Chi:
First (2014) ACM Conference on Learning @ Scale, L@S 2014, Atlanta, GA, USA, March 4-5, 2014. ACM 2014, ISBN 978-1-4503-2669-8 [contents] - 2010
- [e1]Mehran Sahami:
First Symposium on Education Advances in Artificial Intelligence, EAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010. AAAI Press 2010 [contents]
Informal and Other Publications
- 2024
- [i5]Sonja Johnson-Yu, Nicholas Bowman, Mehran Sahami, Chris Piech:
SimGrade: Using Code Similarity Measures for More Accurate Human Grading. CoRR abs/2403.14637 (2024) - [i4]Allen Nie, Yash Chandak, Miroslav Suzara, Ali Malik, Juliette Woodrow, Matt Peng, Mehran Sahami, Emma Brunskill, Chris Piech:
The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances. CoRR abs/2407.09975 (2024) - 2015
- [i3]Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas J. Guibas:
Learning Program Embeddings to Propagate Feedback on Student Code. CoRR abs/1505.05969 (2015) - [i2]Chris Piech, Jonathan Spencer, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein:
Deep Knowledge Tracing. CoRR abs/1506.05908 (2015) - 2000
- [i1]Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami:
Automatic Classification of Text Databases through Query Probing. CoRR cs.DB/0003043 (2000)
Coauthor Index
aka: Christopher Piech
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