most citedWhat Does Explainable AI Really Mean? A New Conceptualization of Perspectives

335 citations · 456 across the 9 of their papers we have counts for

collaborators

9 papers

cs.NI20172 cited

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…

cs.SI2017

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 `…

cs.AI20173 cited

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…

cs.LG20179 cited

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…

cs.AI201728 cited

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…

cs.AI2017335 cited

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…