VLDB 2026 Research / reviewers in the wild / expert
Tom Armstrong
dblp:50/504
· DBLP profile ↗
9ranked-venue papers
4as first author
0since 2021 · last 2013
0009-0000-3849-9132ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 6 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 4 · 2 first-authorHuman-computer interaction and ubiquitous computing · 3 · 1 first-authorDatabases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
2 papers |
Knowledge representation and reasoning · 38% Learning theory · 38% Transfer learning and domain adaptation · 25% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% | |
| Theoretical computer science
1 paper |
Automata and formal languages · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning theory › inductive inference
grammatical inference |
0.1 | 1 | 2008 | Lexical and Grammatical Inference · AAAI 2008 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
logic in computer science |
0.1 | 1 | 2008 | Lexical and Grammatical Inference · AAAI 2008 |
Data mining › temporal data mining
time series mining |
0.1 | 1 | 2007 | UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series · AAAI 2007 |
Data mining › time series analysis
time series segmentation |
0.1 | 1 | 2007 | UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series · AAAI 2007 |
Automata and formal languages › grammatical inference
context-free grammar learning |
0.0 | 1 | 2004 | On the Relationship between Lexical Semantics and Syntax for the Inference of Context-Free Grammars · AAAI 2004 |
Automata and formal languages
grammatical inference |
0.0 | 1 | 2004 | On the Relationship between Lexical Semantics and Syntax for the Inference of Context-Free Grammars · AAAI 2004 |
Methods — techniques the papers use, named apart from their topics
transfer learning · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Fulbrights abroad in computer scienceabstractThe Fulbright Scholar Program is the flagship academic exchange program of the U.S. Department of State; approximately 1,100 American scholars travel worldwide annually to lecture and conduct research. The program is open to all U.S. citizens with university teaching experience and a Ph.D. or equivalent professional/terminal degree. Opportunities for Computer Science educators to win Fulbright scholarships are many. The goal of this panel is to inform the community of computer science educators about the Fulbright program, including the application process, and to answer questions about the program. After an introduction to the program at large, the panelists will each give a 10-15 minute overview of their personal experience as a Fulbright scholar in 2011-2012, leaving ample time for questions from educators considering applying for a Fulbright scholarship. The panelists will offer diverse perspectives based on their experiences in India, Zambia, and Siberia. Matthew R. Boutell, Tom Armstrong, Linda M. Ott |
SIGCSE | 2 |
| 2010 | Robotics and intelligent systems for social and behavioral science undergraduatesabstractIn this article, we share our experiences offering an original course entitled Intelligent Systems targeted at undergraduate social and behavioral science students. Intelligent Systems provides a rigorous introduction to robotics and surveys selected topics in artificial intelligence. This course is tailored to students with little mathematical background and no programming experience. We offer best practices and information from successful course components and ideas for tailoring course content to social and behavioral science students. Tom Armstrong |
ITiCSE | 1 |
| 2010 | Connecting across campusabstractComputer science holds a unique position to craft multidisciplinary curricula for the new generation of faculty and students across the academy who increasingly rely on computing for their scholarship. We propose that computer science programs cease curricula models that begin with a two-course sequence that emulates the natural sciences and mathematics. We report on an aggressive strategy to work with faculty from across the disciplines of arts, humanities, and the social and life sciences to help design and deliver sets of multidisciplinary, applied, and "connected" pairs of introductory courses. Preliminary results at our small liberal arts college include an increase in the percentage of women enrolling in our connected courses, more students taking an additional course in computing, a faculty energized with sharing their research early on, and new interdisciplinary research opportunities for computer science faculty and students. Mark D. LeBlanc, Tom Armstrong, Michael B. Gousie |
SIGCSE | 2 |
| 2008 | Lexical and Grammatical Inference
Tom Armstrong, Tim Oates 0001 |
AAAI | 1 |
| 2007 | UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series
Tom Armstrong, Tim Oates 0001 |
AAAI | 1 |
| 2007 | J. Gerard Wolff, Unifying Computing and Cognition
Tom Armstrong |
Artif. Intell. | 1 |
| 2006 | Discovering Patterns in Real-Valued Time Series
Joe Catalano, Tom Armstrong, Tim Oates 0001 |
PKDD | 2 |
| 2005 | Transfer in Learning by Doing
William Krueger, Tim Oates 0001, Tom Armstrong, Paul R. Cohen, Carole R. Beal |
IJCAI | 3 |
| 2004 | On the Relationship between Lexical Semantics and Syntax for the Inference of Context-Free Grammars
Tim Oates 0001, Tom Armstrong, Justin Harris, Mark Nejman |
AAAI | 2 |