Deborah L. McGuinness

is this you? claim profile

∙ 0 followers
Rensselaer Polytechnic Institute

Tetherless World Constellation Chair, Prof of Computer and Cognitive Science at Rensselaer Polytechnic Institute, CEO and Founder at McGuinness Associates Consulting, University Researcher at DARPA, Consultant at National Center for Atmospheric Research from 2002-2008, Acting Director and Senior Research Scientist at Stanford University from 1998-2007, Consultant at GURU from 1999-2000, Researcher at AT&T Labs Research from 1995-1998, Research Scientist at Bell Laboratories Research

Dimensions of Commonsense Knowledge

Commonsense knowledge is essential for many AI applications, including t...
01/12/2021 ∙ by Filip Ilievski, et al. ∙ 14 ∙ share

read it
Exploring and Analyzing Machine Commonsense Benchmarks

Commonsense question-answering (QA) tasks, in the form of benchmarks, ar...
12/21/2020 ∙ by Henrique Santos, et al. ∙ 0 ∙ share

read it
Explanation Ontology: A Model of Explanations for User-Centered AI

Explainability has been a goal for Artificial Intelligence (AI) systems ...
10/04/2020 ∙ by Shruthi Chari, et al. ∙ 2 ∙ share

read it
Explanation Ontology in Action: A Clinical Use-Case

We addressed the problem of a lack of semantic representation for user-c...
10/04/2020 ∙ by Shruthi Chari, et al. ∙ 17 ∙ share

read it
Directions for Explainable Knowledge-Enabled Systems

Interest in the field of Explainable Artificial Intelligence has been gr...
03/17/2020 ∙ by Shruthi Chari, et al. ∙ 1 ∙ share

read it
Foundations of Explainable Knowledge-Enabled Systems

Explainability has been an important goal since the early days of Artifi...
03/17/2020 ∙ by Shruthi Chari, et al. ∙ 2 ∙ share

read it
Making Study Populations Visible through Knowledge Graphs

Treatment recommendations within Clinical Practice Guidelines (CPGs) are...
07/09/2019 ∙ by Shruthi Chari, et al. ∙ 0 ∙ share

read it
Semantically-aware population health risk analyses

One primary task of population health analysis is the identification of ...
11/27/2018 ∙ by Alexander New, et al. ∙ 0 ∙ share

read it
Knowledge Integration for Disease Characterization: A Breast Cancer Example

With the rapid advancements in cancer research, the information that is ...
07/20/2018 ∙ by Oshani Seneviratne, et al. ∙ 0 ∙ share

read it
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text

We present an end-to-end approach that takes unstructured textual input ...
07/04/2018 ∙ by Yue Liu, et al. ∙ 0 ∙ share

read it
Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion

In the medical domain, identifying and expanding abbreviations in clinic...
04/11/2018 ∙ by Yue Liu, et al. ∙ 0 ∙ share

read it
From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards

In the context of Smart Cities, indicator definitions have been used to ...
04/06/2017 ∙ by Henrique Santos, et al. ∙ 0 ∙ share

read it
Human-Aware Sensor Network Ontology: Semantic Support for Empirical Data Collection

Significant efforts have been made to understand and document knowledge ...
04/06/2017 ∙ by Paulo Pinheiro, et al. ∙ 0 ∙ share

read it
Contextual Data Collection for Smart Cities

As part of Smart Cities initiatives, national, regional and local govern...
04/06/2017 ∙ by Henrique Santos, et al. ∙ 0 ∙ share

read it

Deborah L. McGuinness

Featured Co-authors

Heng Ji

Yue Liu

Bin Zhang

Tao Ge

Pedro Szekely

Vasco Furtado

Shruthi Chari

Filip Ilievski

Kristin P. Bennett

Oshani Seneviratne

Alessandro Oltramari

Dimensions of Commonsense Knowledge

Exploring and Analyzing Machine Commonsense Benchmarks

Explanation Ontology: A Model of Explanations for User-Centered AI

Explanation Ontology in Action: A Clinical Use-Case

Directions for Explainable Knowledge-Enabled Systems

Foundations of Explainable Knowledge-Enabled Systems

Making Study Populations Visible through Knowledge Graphs

Semantically-aware population health risk analyses

Knowledge Integration for Disease Characterization: A Breast Cancer Example

Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text

Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion

From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards

Human-Aware Sensor Network Ontology: Semantic Support for Empirical Data Collection

Contextual Data Collection for Smart Cities