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ORCIDJacob G. Foster
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2020 – today
- 2023
[j3]Mario Krenn
, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp:
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nat. Mac. Intell. 5(11): 1326-1335 (2023)- 2022
- [j2]Lu Cheng, Jacob G. Foster, Harlin Lee:
A Simple, interpretable method to identify surprising topic shifts in scientific fields. Frontiers Res. Metrics Anal. 7 (2022) - [c4]Lu Cheng, Harlin Lee, Girish Ganesan, William L. He, Daniel Silverston, Jacob G. Foster:
Joint Content-Context Analysis of Scientific Publications: Identifying Opportunities for Collaboration in Cognitive Science. CogSci 2022 - [i8]Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp:
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. CoRR abs/2210.00881 (2022) - 2021
- [c3]Harlin Lee, Rishi Sonthalia, Jacob G. Foster:
Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network. IEEE BigData 2021: 5801-5808 - [c2]Ankith Uppunda, Susan D. Cochran, Jacob G. Foster, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang:
Adapting Coreference Resolution for Processing Violent Death Narratives. NAACL-HLT 2021: 4553-4559 - [c1]Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster:
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. NeurIPS Datasets and Benchmarks 2021 - [i7]Ankith Uppunda, Susan D. Cochran, Jacob G. Foster, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang:
Adapting Coreference Resolution for Processing Violent Death Narratives. CoRR abs/2104.14703 (2021) - [i6]Alina Arseniev-Koehler, Susan D. Cochran, Vickie M. Mays, Kai-Wei Chang, Jacob Gates Foster:
Integrating topic modeling and word embedding to characterize violent deaths. CoRR abs/2106.14365 (2021) - [i5]Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster:
Deep Learning of Potential Outcomes. CoRR abs/2110.04442 (2021) - [i4]Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster:
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. CoRR abs/2112.01716 (2021) - 2020
- [i3]Alina Arseniev-Koehler, Jacob G. Foster:
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat. CoRR abs/2003.12133 (2020)
2010 – 2019
- 2015
- [j1]Feng Shi, Jacob G. Foster, James A. Evans:
Weaving the fabric of science: Dynamic network models of science's unfolding structure. Soc. Networks 43: 73-85 (2015) - 2013
- [i2]Jacob G. Foster, Andrey Rzhetsky, James A. Evans:
Tradition and Innovation in Scientists' Research Strategies. CoRR abs/1302.6906 (2013) - 2010
- [i1]David V. Foster, Jacob G. Foster, Peter Grassberger, Maya Paczuski:
Clustering Drives Assortativity and Community Structure in Ensembles of Networks. CoRR abs/1012.2384 (2010)
Coauthor Index
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