Jacob G. Foster

According to our database, Jacob G. Foster authored at least 12 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.

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

Nat. Mac. Intell., October, 2023

2022

A Simple, interpretable method to identify surprising topic shifts in scientific fields.

Lu Cheng, Jacob G. Foster, Harlin Lee

Frontiers Res. Metrics Anal., 2022

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.

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

CoRR, 2022

2021

Deep Learning of Potential Outcomes.

Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster

CoRR, 2021

Integrating topic modeling and word embedding to characterize violent deaths.

Alina Arseniev-Koehler, Susan D. Cochran, Vickie M. Mays, Kai-Wei Chang, Jacob Gates Foster

CoRR, 2021

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research.

Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Adapting Coreference Resolution for Processing Violent Death Narratives.

Ankith Uppunda, Susan D. Cochran, Jacob G. Foster, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network.

Harlin Lee, Rishi Sonthalia, Jacob G. Foster

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat.

Alina Arseniev-Koehler, Jacob G. Foster

CoRR, 2020

2015

Weaving the fabric of science: Dynamic network models of science's unfolding structure.

Feng Shi, Jacob G. Foster, James A. Evans

Soc. Networks, 2015

2013

Tradition and Innovation in Scientists' Research Strategies

Jacob G. Foster, Andrey Rzhetsky, James A. Evans

CoRR, 2013

2010

Clustering Drives Assortativity and Community Structure in Ensembles of Networks

David V. Foster, Jacob G. Foster, Peter Grassberger, Maya Paczuski

CoRR, 2010