Nathan Self

Orcid: 0000-0001-8075-9866

According to our database1, Nathan Self authored at least 23 papers between 2013 and 2023.

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Bibliography

2023
TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade.
Inf. Vis., July, 2023

Redistrict: Designing a Self-Serve Interactive Boundary Optimization System.
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.
CoRR, 2022

2021
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications.
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.
Soc. Netw. Anal. Min., 2020

Detecting Suspicious Timber Trades.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Geospatial Clustering for Balanced and Proximal Schools.
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.
Proceedings of the 2019 Winter Simulation Conference, 2019

Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

REGAL: A Regionalization framework for school boundaries.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Feature driven learning framework for cybersecurity event detection.
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.
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.
ACM Trans. Intell. Syst. Technol., 2018

Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments.
Proceedings of the 2018 Winter Simulation Conference, 2018

Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis.
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.
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.
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.
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.
Big Data, 2014


Modeling mass protest adoption in social network communities using geometric brownian motion.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Forex-foreteller: currency trend modeling using news articles.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013


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