Mehran Sahami

Steve Cooper, Mehran Sahami: Reflections on Stanford's MOOCs. Commun. ACM 56(2): 28-30 (2013)

Mehran Sahami, Steve Roach, Ernesto Cuadros-Vargas, Richard LeBlanc: ACM/IEEE-CS computer science curriculum 2013: reviewing the ironman report. SIGCSE 2013: 13-14

Katie Redmond, Sarah Evans, Mehran Sahami: A large-scale quantitative study of women in computer science at Stanford University. SIGCSE 2013: 439-444

Mehran Sahami, Mark Guzdial, Fred G. Martin, Nick Parlante: The revolution will be televised: perspectives on massive open online education. SIGCSE 2013: 457-458

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

Chris Piech, Mehran Sahami, Daphne Koller, Steve Cooper, Paulo Blikstein: Modeling how students learn to program. SIGCSE 2012: 153-160

Marie desJardins, Mehran Sahami, Kiri Wagstaff: EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence. AI Magazine 32(1): 91-92 (2011)

Mehran Sahami, Marie desJardins, Zachary Dodds, Todd W. Neller: Educational advances in artificial intelligence. SIGCSE 2011: 81-82

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

Mehran Sahami: A course on probability theory for computer scientists. SIGCSE 2011: 263-268

Mehran Sahami, Alex Aiken, Julie Zelenski: Expanding the frontiers of computer science: designing a curriculum to reflect a diverse field. SIGCSE 2010: 47-51

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

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 Magazine 29(3): 107-115 (2008)

Mehran Sahami: Organizing Committee. AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science 2008: 2-

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

Ron Bekkerman, Mehran Sahami, Erik G. Learned-Miller: Combinatorial Markov Random Fields. ECML 2006: 30-41

Mehran Sahami: Mining the Web to Determine Similarity Between Words, Objects, and Communities. FLAIRS Conference 2006: 14-19

Mehran Sahami, Timothy D. Heilman: A web-based kernel function for measuring the similarity of short text snippets. WWW 2006: 377-386

Mikhail Bilenko, Sugato Basu, Mehran Sahami: Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping. ICDM 2005: 58-65

Ellen Spertus, Mehran Sahami, Orkut Buyukkokten: Evaluating similarity measures: a large-scale study in the orkut social network. KDD 2005: 678-684

Shumeet Baluja, Mehran Sahami, Henry A. Rowley: Efficient face orientation discrimination. ICIP 2004: 589-592

Mehran Sahami, Vibhu O. Mittal, Shumeet Baluja, Henry A. Rowley: The Happy Searcher: Challenges in Web Information Retrieval. PRICAI 2004: 3-12

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)

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)

Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami: PERSIVAL demo: categorizing hidden-web resources. JCDL 2001: 454

Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami: Probe, Count, and Classify: Categorizing Hidden Web Databases. SIGMOD Conference 2001: 67-78

Ron Kohavi, Mehran Sahami: Integrating Data Mining into Vertical Solutions. SIGKDD Explorations 1(2): 55-58 (2000)

Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami: Automatic Classification of Text Databases Through Query Probing. WebDB (Informal Proceedings) 2000: 117-122

Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami: Automatic Classification of Text Databases Through Query Probing. WebDB (Selected Papers) 2000: 245-255

Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami: Automatic Classification of Text Databases through Query Probing. CoRR cs.DB/0003043 (2000)

Susan T. Dumais, John C. Platt, David Hecherman, Mehran Sahami: Inductive Learning Algorithms and Representations for Text Categorization. CIKM 1998: 148-155

Mehran Sahami, Salim Yusufali, Michelle Q. Wang Baldonado: SONIA: A Service for Organizing Networked Information Autonomously. ACM DL 1998: 200-209

Pat Langley, Karl Pfleger, Mehran Sahami: Lazy Acquisition of Place Knowledge. Artif. Intell. Rev. 11(1-5): 315-342 (1997)

Mehran Sahami: Applications of Machine Learning to Information Access. AAAI/IAAI 1997: 816

Mehran Sahami, Salim Yusufali, Michelle Q. Wang Baldonado: Real-Time Full-Text Clustering of Networked Documents. AAAI/IAAI 1997: 845

Daphne Koller, Mehran Sahami: Hierarchically Classifying Documents Using Very Few Words. ICML 1997: 170-178

Daphne Koller, Mehran Sahami: Toward Optimal Feature Selection. ICML 1996: 284-292

Mehran Sahami, Marti A. Hearst, Eric Saund: Applying the Multiple Cause Mixture Model to Text Categorization. ICML 1996: 435-443

Ron Kohavi, Mehran Sahami: Error-Based and Entropy-Based Discretization of Continuous Features. KDD 1996: 114-119

Mehran Sahami: Learning Limited Dependence Bayesian Classifiers. KDD 1996: 335-338

Mehran Sahami: Generating Neural Networks Through the Induction of Threshold Logic Unit Trees (Extended Abstract). ECML 1995: 339-342

Mehran Sahami: Learning Classification Rules Using Lattices (Extended Abstract). ECML 1995: 343-346

James Dougherty, Ron Kohavi, Mehran Sahami: Supervised and Unsupervised Discretization of Continuous Features. ICML 1995: 194-202

Mehran Sahami: Learning Non-Linearly Separable Boolean Functions With Linear Threshold Unit Trees and Madaline-Style Networks. AAAI 1993: 335-341