Nathan Self

According to our database, Nathan Self authored at least 26 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling.

Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

ACM Trans. Knowl. Discov. Data, July, 2024

Redistrict: Online Public Deliberation Support that Connects and Rebuilds Inclusive Communities.

Andreea Sistrunk, Nathan Self, Subhodip Biswas, Kurt Luther, Nervo Verdezoto, Naren Ramakrishnan

Proc. ACM Hum. Comput. Interact., 2024

2023

TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade.

Debanjan Datta, Nathan Self, John Simeone, Amelia Meadows, Willow Outhwaite, Linda Walker, Niklas Elmqvist, Naren Ramakrishnan

Inf. Vis., July, 2023

Redistrict: Designing a Self-Serve Interactive Boundary Optimization System.

Andreea Sistrunk, Nathan Self, Subhodip Biswas, Kurt Luther, Nervo Verdezoto, Naren Ramakrishnan

Proceedings of the Companion Publication of the 2023 ACM Designing Interactive Systems Conference, 2023

2022

Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions.

Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal, James Dunham, Rebecca Gelles, Sathappan Muthiah, Nathan Self, Patrick Butler, Naren Ramakrishnan

CoRR, 2022

Redistricting Practices in Public Schools: Social Progress or Necessity?

Andreea Sistrunk, Subhodip Biswas, Nathan Self, Kurt Luther, Naren Ramakrishnan

Proceedings of 20th European Conference on Computer-Supported Cooperative Work, Coimbra, Portugal, June 27, 2022

2021

A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting.

Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu

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

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications.

Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework.

Vanessa Cedeno-Mieles, Zhihao Hu, Yihui Ren, Xinwei Deng, Abhijin Adiga, Christopher L. Barrett, Noshir Contractor, Saliya Ekanayake, Joshua M. Epstein, Brian J. Goode, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Michael W. Macy, Madhav V. Marathe, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self

Soc. Netw. Anal. Min., 2020

Detecting Suspicious Timber Trades.

Debanjan Datta, Mohammad Raihanul Islam, Nathan Self, Amelia Meadows, John Simeone, Willow Outhwaite, Chen Hin Keong, Amy Smith, Linda Walker, Naren Ramakrishnan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Geospatial Clustering for Balanced and Proximal Schools.

Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game.

Zhihao Hu, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Yihui Ren, Vanessa Cedeno-Mieles, Saliya Ekanayake, Xinwei Deng, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Abhijin Adiga, Gizem Korkmaz, Chris J. Kuhlman

Proceedings of the 2019 Winter Simulation Conference, 2019

Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks.

Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

REGAL: A Regionalization framework for school boundaries.

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Feature driven learning framework for cybersecurity event detection.

Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games.

Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Yihui Ren, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems.

Nikhil Muralidhar, Chen Wang, Nathan Self, Marjan Momtazpour, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan

ACM Trans. Intell. Syst. Technol., 2018

Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments.

Vanessa Cedeno-Mieles, Yihui Ren, Saliya Ekanayake, Brian J. Goode, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Henning S. Mortveit, Zhihao Hu, Xinwei Deng, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy

Proceedings of the 2018 Winter Simulation Conference, 2018

Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis.

Yihui Ren, Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Brian J. Goode, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Multi-Task Learning for Transit Service Disruption Detection.

Taoran Ji, Kaiqun Fu, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Tracking Multiple Social Media for Stock Market Event Prediction.

Fang Jin, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen, Naren Ramakrishnan

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017

2016

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.

Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak K. Gupta, David Mares, Naren Ramakrishnan

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014

Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System.

Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Patrick Butler, Nathan Self, Liang Zhao, Chang-Tien Lu, Rupinder Paul Khandpur, Youssef Fayed, Naren Ramakrishnan

Big Data, 2014

'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.

Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Modeling mass protest adoption in social network communities using geometric brownian motion.

Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward R. Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Forex-foreteller: currency trend modeling using news articles.

Fang Jin, Nathan Self, Parang Saraf, Patrick Butler, Wei Wang, Naren Ramakrishnan

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013