85 citations · 435 across the 22 of their papers we have counts for
23 papers
Towards LLM-guided Causal Explainability for Black-box Text Classifiers
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland +1
With the advent of larger and more complex deep learning models, such as in Natural Language Processing (NLP), model qualities like explainability and interpretability, albeit high…
Stylometric Detection of AI-Generated Text in Twitter Timelines
Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee +3
Recent advancements in pre-trained language models have enabled convenient methods for generating human-like text at a large scale. Though these generation capabilities hold great…
Using scaling-region distributions to select embedding parameters
Varad Deshmukh, Robert Meikle, Elizabeth Bradley +2
Reconstructing state-space dynamics from scalar data using time-delay embedding requires choosing values for the delay and the dimension . Both parameters are critical to th…
Towards automated extraction and characterization of scaling regions in dynamical systems
Varad Deshmukh, Elizabeth Bradley, Joshua Garland +1
Scaling regions -- intervals on a graph where the dependent variable depends linearly on the independent variable -- abound in dynamical systems, notably in calculations of invaria…
An Agenda for Disinformation Research
Nadya Bliss, Elizabeth Bradley, Joshua Garland +4
In the 21st Century information environment, adversarial actors use disinformation to manipulate public opinion. The distribution of false, misleading, or inaccurate information wi…
Greetings from a Triparental Planet
Gizem Bacaksizlar, Stefani Crabtree, Joshua Garland +11
In this work of speculative science, scientists from a distant star system explain the emergence and consequences of triparentalism, when three individuals are required for sexual…
Detection of Local Mixing in Time-Series Data Using Permutation Entropy
Michael Neuder, Elizabeth Bradley, Edward Dlugokencky +2
While it is tempting in experimental practice to seek as high a data rate as possible, oversampling can become an issue if one takes measurements too densely. These effects can tak…
Impact and dynamics of hate and counter speech online
Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young +2
Citizen-generated counter speech is a promising way to fight hate speech and promote peaceful, non-polarized discourse. However, there is a lack of large-scale longitudinal studies…
Countering hate on social media: Large scale classification of hate and counter speech
Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young +2
Hateful rhetoric is plaguing online discourse, fostering extreme societal movements and possibly giving rise to real-world violence. A potential solution to this growing global pro…
Using Curvature to Select the Time Lag for Delay Reconstruction
Varad Deshmukh, Elizabeth Bradley, Joshua Garland +1
We propose a curvature-based approach for choosing good values for the time-delay parameter in delay reconstructions. The idea is based on the effects of the delay on the geome…
Rethinking animal social complexity measures with the help of complex systems concepts
Elizabeth A. Hobson, Vanessa Ferdinand, Artemy Kolchinsky +1
Explaining how and why some species evolved to have more complex social structures than others has been a long-term goal for many researchers in animal behavior because it would pr…
Anomaly Detection in Paleoclimate Records using Permutation Entropy
Joshua Garland, Tyler R. Jones, Michael Neuder +3
Permutation entropy techniques can be useful in identifying anomalies in paleoclimate data records, including noise, outliers, and post-processing issues. We demonstrate this using…
Climate entropy production recorded in a deep Antarctic ice core
Joshua Garland, Tyler R. Jones, Elizabeth Bradley +2
Paleoclimate records are extremely rich sources of information about the past history of the Earth system. Information theory, the branch of mathematics capable of quantifying the…
Prediction in Projection: A new paradigm in delay-coordinate reconstruction
Joshua Garland
Delay-coordinate embedding is a powerful, time-tested mathematical framework for reconstructing the dynamics of a system from a series of scalar observations. Most of the associate…
Anatomy of Leadership in Collective Behaviour
Joshua Garland, Andrew M. Berdahl, Jie Sun +1
Understanding the mechanics behind the coordinated movement of mobile animal groups (collective motion) provides key insights into their biology and ecology, while also yielding al…
A new method for choosing parameters in delay reconstruction-based forecast strategies
Joshua Garland, Ryan G. James, Elizabeth Bradley
Delay-coordinate reconstruction is a proven modeling strategy for building effective forecasts of nonlinear time series. The first step in this process is the estimation of good va…
Exploring the Topology of Dynamical Reconstructions
Joshua Garland, Elizabeth Bradley, James D. Meiss
Computing the state-space topology of a dynamical system from scalar data requires accurate reconstruction of those dynamics and construction of an appropriate simplicial complex f…
Prediction in Projection
Joshua Garland, Elizabeth Bradley
Prediction models that capture and use the structure of state-space dynamics can be very effective. In practice, however, one rarely has access to full information about that struc…
Model-free quantification of time-series predictability
Joshua Garland, Ryan James, Elizabeth Bradley
This paper provides insight into when, why, and how forecast strategies fail when they are applied to complicated time series. We conjecture that the inherent complexity of real-wo…
Followers Are Not Enough: A Question-Oriented Approach to Community Detection in Online Social Networks
David Darmon, Elisa Omodei, Joshua Garland
Community detection in online social networks is typically based on the analysis of the explicit connections between users, such as "friends" on Facebook and "followers" on Twitter…
Determinism, Complexity, and Predictability in Computer Performance
Joshua Garland, Ryan James, Elizabeth Bradley
Computers are deterministic dynamical systems (CHAOS 19:033124, 2009). Among other things, that implies that one should be able to use deterministic forecast rules to predict their…
On the importance of nonlinear modeling in computer performance prediction
Joshua Garland, Elizabeth Bradley
Computers are nonlinear dynamical systems that exhibit complex and sometimes even chaotic behavior. The models used in the computer systems community, however, are linear. This pap…
Iterated Function System Models in Data Analysis: Detection and Separation
Zachary Alexander, Elizabeth Bradley, Joshua Garland +1
We investigate the use of iterated function system (IFS) models for data analysis. An IFS is a discrete dynamical system in which each time step corresponds to the application of o…