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2020 – today
- 2021
[i10]Tom Hope, Ronen Tamari, Hyeonsu Kang, Daniel Hershcovich, Joel Chan, Aniket Kittur, Dafna Shahaf:
Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas. CoRR abs/2102.09761 (2021)- 2020
- [c27]Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf:
Language (Re)modelling: Towards Embodied Language Understanding. ACL 2020: 6268-6281 - [c26]David Tsurel, Michael Doron, Alexander Nus, Arnon Dagan, Ido Guy, Dafna Shahaf:
E-Commerce Dispute Resolution Prediction. CIKM 2020: 1465-1474 - [c25]Moran Mizrahi, Stav Yardeni Seelig, Dafna Shahaf:
Coming to Terms: Automatic Formation of Neologisms in Hebrew. EMNLP (Findings) 2020: 4918-4929 - [i9]Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, Reut Tsarfaty:
Ecological Semantics: Programming Environments for Situated Language Understanding. CoRR abs/2003.04567 (2020) - [i8]Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf:
Language (Re)modelling: Towards Embodied Language Understanding. CoRR abs/2005.00311 (2020)
2010 – 2019
- 2019
- [j7]Aniket Kittur, Lixiu Yu, Tom Hope, Joel Chan, Hila Lifshitz-Assaf, Karni Gilon, Felicia Y. Ng, Robert E. Kraut
, Dafna Shahaf:
Scaling up analogical innovation with crowds and AI. Proc. Natl. Acad. Sci. USA 116(6): 1870-1877 (2019) - [j6]Matthijs van Leeuwen, Polo Chau, Jilles Vreeken, Dafna Shahaf, Christos Faloutsos:
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1). ACM Trans. Knowl. Discov. Data 13(1): 13:1-13:2 (2019) - [c24]Michael Doron, Idan Segev, Dafna Shahaf:
Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models. KDD 2019: 425-435 - 2018
- [j5]Joel Chan, Joseph Chee Chang, Tom Hope, Dafna Shahaf, Aniket Kittur:
SOLVENT: A Mixed Initiative System for Finding Analogies between Research Papers. Proc. ACM Hum. Comput. Interact. 2(CSCW): 31:1-31:21 (2018) - [j4]Yossi Azar, Eric Horvitz, Eyal Lubetzky, Yuval Peres, Dafna Shahaf:
Tractable near-optimal policies for crawling. Proc. Natl. Acad. Sci. USA 115(32): 8099-8103 (2018) - [c23]Karni Gilon, Joel Chan, Felicia Y. Ng, Hila Lifshitz-Assaf, Aniket Kittur, Dafna Shahaf:
Analogy Mining for Specific Design Needs. CHI 2018: 121 - [c22]Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf:
Accelerating Innovation Through Analogy Mining. IJCAI 2018: 5274-5278 - [c21]Tom Hope, Dafna Shahaf:
Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons. WSDM 2018: 234-242 - [i7]Ronen Tamari, Hiroyuki Shindo, Dafna Shahaf, Yuji Matsumoto:
Playing by the Book: Towards Agent-based Narrative Understanding through Role-playing and Simulation. CoRR abs/1811.04319 (2018) - 2017
- [c20]Asaf Valadarsky, Michael Schapira, Dafna Shahaf, Aviv Tamar:
Learning to Route. HotNets 2017: 185-191 - [c19]Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf:
Accelerating Innovation Through Analogy Mining. KDD 2017: 235-243 - [c18]David Tsurel, Dan Pelleg, Ido Guy, Dafna Shahaf:
Fun Facts: Automatic Trivia Fact Extraction from Wikipedia. WSDM 2017: 345-354 - [i6]Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf:
Accelerating Innovation Through Analogy Mining. CoRR abs/1706.05585 (2017) - [i5]Asaf Valadarsky, Michael Schapira, Dafna Shahaf, Aviv Tamar:
A Machine Learning Approach to Routing. CoRR abs/1708.03074 (2017) - [i4]Tom Hope, Dafna Shahaf:
Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons. CoRR abs/1712.04828 (2017) - [i3]Karni Gilon, Felicia Y. Ng, Joel Chan, Hila Lifshitz-Assaf, Aniket Kittur, Dafna Shahaf:
Analogy Mining for Specific Design Needs. CoRR abs/1712.06880 (2017) - 2016
- [c17]Joel Chan, Tom Hope, Dafna Shahaf, Aniket Kittur:
Scaling up Analogy with Crowdsourcing and Machine Learning. ICCBR Workshops 2016: 31-40 - [c16]Dafna Shahaf:
A Hard Look at Soft Concepts. IJCAI 2016: 4082-4085 - [c15]Tom Hope, Dafna Shahaf:
Ballpark Learning: Estimating Labels from Rough Group Comparisons. ECML/PKDD (2) 2016: 299-314 - [i2]Tom Hope, Dafna Shahaf:
Ballpark Learning: Estimating Labels from Rough Group Comparisons. CoRR abs/1607.00034 (2016) - [i1]David Tsurel, Dan Pelleg, Ido Guy, Dafna Shahaf:
Fun Facts: Automatic Trivia Fact Extraction from Wikipedia. CoRR abs/1612.03896 (2016) - 2015
- [j3]Dafna Shahaf, Carlos Guestrin, Eric Horvitz, Jure Leskovec:
Information cartography. Commun. ACM 58(11): 62-73 (2015) - [c14]Dafna Shahaf, Eric Horvitz, Robert Mankoff:
Inside Jokes: Identifying Humorous Cartoon Captions. KDD 2015: 1065-1074 - 2013
- [j2]Dafna Shahaf, Carlos Guestrin, Eric Horvitz:
"Metro maps of information" by Dafna Shahaf, Carlos Guestrin and Eric Horvitz, with Ching-man Au Yeung as coordinator. SIGWEB Newsl. 2013(Spring): 4:1-4:9 (2013) - [c13]Dafna Shahaf, Jaewon Yang, Caroline Suen, Jeff Jacobs, Heidi Wang, Jure Leskovec:
Information cartography: creating zoomable, large-scale maps of information. KDD 2013: 1097-1105 - 2012
- [j1]Dafna Shahaf, Carlos Guestrin:
Connecting Two (or Less) Dots: Discovering Structure in News Articles. ACM Trans. Knowl. Discov. Data 5(4): 24:1-24:31 (2012) - [c12]Dafna Shahaf, Carlos Guestrin, Eric Horvitz:
Metro maps of science. KDD 2012: 1122-1130 - [c11]Dafna Shahaf, Carlos Guestrin, Eric Horvitz:
Trains of thought: generating information maps. WWW 2012: 899-908 - 2011
- [c10]Dafna Shahaf, Carlos Guestrin:
Connecting the Dots between News Articles. IJCAI 2011: 2734-2739 - 2010
- [c9]Dafna Shahaf, Eric Horvitz:
Generalized Task Markets for Human and Machine Computation. AAAI 2010 - [c8]Dafna Shahaf, Carlos Guestrin:
Connecting the dots between news articles. KDD 2010: 623-632
2000 – 2009
- 2009
- [c7]Dafna Shahaf, Eric Horvitz:
Investigations of Continual Computation. IJCAI 2009: 285-291 - [c6]Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos Guestrin:
Turning down the noise in the blogosphere. KDD 2009: 289-298 - [c5]Dafna Shahaf, Carlos Guestrin:
Learning Thin Junction Trees via Graph Cuts. AISTATS 2009: 113-120 - 2007
- [c4]Dafna Shahaf, Eyal Amir:
Towards a Theory of AI Completeness. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning 2007: 150-155 - [c3]Dafna Shahaf, Eyal Amir:
Logical Circuit Filtering. IJCAI 2007: 2611-2618 - 2006
- [c2]Dafna Shahaf, Eyal Amir:
Learning Partially Observable Action Schemas. AAAI 2006: 913-919 - [c1]Dafna Shahaf, Allen Chang, Eyal Amir:
Learning Partially Observable Action Models: Efficient Algorithms. AAAI 2006: 920-926
Coauthor Index
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