Artificial intelligence publications
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The Metacyc Database of Metabolic Pathways and Enzymes and the Biocyc Collection of Pathway/Genome Databases
Each BioCyc PGDB contains the predicted metabolic network of one organism, including metabolic pathways, enzymes, metabolites and reactions predicted by the Pathway Tools software using MetaCyc as a reference database.
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Deductive Formation of Recursive Workflows
We present an action theory with the power to represent recursive plans and the capability to reason about and synthesize recursive workflow control structures.
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Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling Assistant
We discuss experiences from evaluating the learning performance of a user-adaptive personal assistant agent.
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Task Assistant: Personalized Task Management for Military Environments
We describe an AI-enhanced task management tool developed for a military environment, which differs from office environments in important ways: differing time scales, a focus on teams collaborating on tasks…
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Efficient Online Learning and Prediction of Users’ Desktop Actions
We show that simple efficient many-class learning can perform well for action prediction, significantly improving over previously published results and baselines.
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What We Can Learn About Escherichia Coli Through Application of Gene Ontology
Gene Ontology (GO) is one of the most successful systems for classifying biological function. Although GO is widely used for eukaryotic genomics, it has not yet been widely used for…
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Box Invariance in Biologically-Inspired Dynamical Systems
We show that box invariance can be checked in cubic time for linear and affine systems, and that it remains decidable for classes of nonlinear systems of interest (with polynomial…
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Mixed-Initiative Negotiation: Facilitating Useful Interaction Between Agent/Owner Pairs
A mixed-initiative agent for personal time management interacts not only with its human owner but also with other agents and humans that share or depend on the same time commitments.
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Efficient Duration and Hierarchical Modeling for Human Activity Recognition
In this paper, we argue that in dealing with ADLs, it is beneficial to exploit both their typical duration patterns and inherent hierarchical structures.
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Co-Adaptation: Adaptive Co-Training for Semi-Supervised Learning
Inspired by popular co-training and domain adaptation methods, we propose a co-adaptation algorithm. The goal is improving the performance of a dialog act segmentation model by exploiting the vast amount…
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Designing for Usability of an Adaptive Time Management Assistant
This case study article describes the iterative design process of an adaptive, mixed-initiative calendaring tool with embedded artificial intelligence.
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Efficient online learning and prediction of users’ desktop actions
We investigate prediction of users’ desktop activities in the Unix domain. We show that simple efficient many-class learning can perform well for action prediction, significantly improving over previously published results…