335 citations · 811 across the 25 of their papers we have counts for
9 papers · 1 filter
Realistic Traffic Generation for Web Robots
Kyle Brown, Derek Doran
Critical to evaluating the capacity, scalability, and availability of web systems are realistic web traffic generators. Web traffic generation is a classic research problem, no gen…
Seasonal Stochastic Blockmodeling for Anomaly Detection in Dynamic Networks
Jace Robinson, Derek Doran
Sociotechnological and geospatial processes exhibit time varying structure that make insight discovery challenging. To detect abnormal moments in these processes, a definition of `…
Intrinsic Point of Interest Discovery from Trajectory Data
Matthew Piekenbrock, Derek Doran
This paper presents a framework for intrinsic point of interest discovery from trajectory databases. Intrinsic points of interest are regions of a geospatial area innately defined…
Relating Input Concepts to Convolutional Neural Network Decisions
Ning Xie, Md Kamruzzaman Sarker, Derek Doran +2
Many current methods to interpret convolutional neural networks (CNNs) use visualization techniques and words to highlight concepts of the input seemingly relevant to a CNN's decis…
Explaining Trained Neural Networks with Semantic Web Technologies: First Steps
Md Kamruzzaman Sarker, Ning Xie, Derek Doran +2
The ever increasing prevalence of publicly available structured data on the World Wide Web enables new applications in a variety of domains. In this paper, we provide a conceptual…
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives
Derek Doran, Sarah Schulz, Tarek R. Besold
We characterize three notions of explainable AI that cut across research fields: opaque systems that offer no insight into its algo- rithmic mechanisms; interpretable systems where…