Researcher interests: Data mining. Machine learning. Information retrieval. Information visualization. Artificial intelligence and algorithms. Designing algorithms to help people understand the underlying structure of complex topics; making sense of massive amounts of data.
DEPARTMENT: Computer Science
Contact Business Development: Tamir Huberman

Selected Publications

aniket kittur, felicia, hila lifshitzassaf, Joel Chan, karni gilon, lixiu, robert kraut, Dafna Shahaf, Tom Hope
scaling up analogical innovation with crowds and ai (2019)| Proceedings of the National Academy of Sciences of the United States of America| Read more
aniket kittur, Joel Chan, joseph chee chang, Dafna Shahaf, Tom Hope
solvent a mixed initiative system for finding analogies between research papers (2018)| Proceedings of the ACM on Human-Computer Interaction| Read more
eric horvitz, Eyal Lubetzky, Dafna Shahaf, yossi azar, yuval peres
tractable near optimal policies for crawling (2018)| Proceedings of the National Academy of Sciences of the United States of America| Read more
aniket kittur, Joel Chan, Dafna Shahaf, Tom Hope
accelerating innovation through analogy mining (2018)| Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence| Read more
aniket kittur, felicia, hila liifshitzassaf, Joel Chan, karni gilon, Dafna Shahaf
analogy mining for specific design needs (2018)| Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems| Read more
Dafna Shahaf, Tom Hope
ballpark crowdsourcing the wisdom of rough group comparisons (2018)| Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining| Read more
hiroyuki shindo, ronen tamari, Dafna Shahaf, yuji matsumoto
playing by the book towards agent based narrative understanding through role playing and simulation (2018)| arXiv preprint arXiv:1811.04319| Read more
Asaf Valadarsky, Aviv Tamar, Michael Schapira, Dafna Shahaf
learning to route (2017)| Proceedings of the 16th ACM Workshop on Hot Topics in Networks| Read more

Contact for more information:

Tamir Huberman
CIO
+972-2-6586678
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