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Mehran Sahami
Person information
- affiliation: Stanford University, USA
- award: ACM Presidential Award, 2014
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2020 – today
- 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) - 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
2010 – 2019
- 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
- [j14]Mehran Sahami:
Paving a path to more inclusive computing. Inroads 9(4): 85-88 (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
- [j13]Mehran Sahami, Pat Yongpradit, Elizabeth K. Hawthorne, Yan Timanovsky:
EduBits. Inroads 7(4): 8-11 (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
- [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) - [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 - [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) - 2014
- [j10]Mehran Sahami, Steve Roach:
Computer science curricula 2013 released. Commun. ACM 57(6): 5 (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 - [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] - 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) - [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
- [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) - [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 - [e1]Mehran Sahami:
First Symposium on Education Advances in Artificial Intelligence, EAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010. AAAI Press 2010 [contents]
2000 – 2009
- 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
- [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) - [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 - 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) - 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
- [j2]Ron Kohavi, Mehran Sahami:
Integrating Data Mining into Vertical Solutions. SIGKDD Explor. 1(2): 55-58 (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 - [i1]Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami:
Automatic Classification of Text Databases through Query Probing. CoRR cs.DB/0003043 (2000)
1990 – 1999
- 1998
- [b1]Mehran Sahami:
Using machine learning to improve information access. Stanford University, USA, 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
- [j1]Pat Langley, Karl Pfleger, Mehran Sahami:
Lazy Acquisition of Place Knowledge. Artif. Intell. Rev. 11(1-5): 315-342 (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
Coauthor Index
aka: Christopher Piech
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