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Nadya Belov

dblp:59/3046 · DBLP profile ↗
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6ranked-venue papers
4as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-authorDatabases, data management, data science and information retrieval · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.

Databases, data mining, and information retrieval
1 paper
Recommender systems · 100%
Human-computer interaction and pervasive computing
1 paper
Human-AI interaction · 100%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Recommender systems › user modeling › user intent modeling
user intent prediction
0.112005
On Predicting User Intent · AAAI 2005
Human-AI interaction
mixed-initiative interaction
0.112005
Mixed-Initiative Approach to Collaboration in the Mathematical Domain · AAAI 2005
YearPublicationVenuePosition
2009 Mixed initiative soft data fusion associate
Nadya Belov, Peter Gerken
FUSION1
2006 Plan-Driven Fusion: Shaping the Situation Awareness Process using Empirical Plan Data
abstract
Historically, in a tactical C4ISR environment, information fusion processing and plan understanding and execution monitoring have been performed without regard to one another. In particular, plan execution monitoring assumes that an accurate "world state" is available, while information fusion processing assumes that "operational context" is available. Because operational context allows information fusion to develop an accurate representation of world state, and world state is the basis from which plan execution monitoring assesses the status of plans, a loose coupling between information fusion and plan understanding and execution monitoring results in less-than-optimal situational awareness for a commander. Leveraging plan under standing and levels 1-4 information fusion techniques, Lockheed Martin Advanced Technology Laboratories (LM ATL) has developed a concept design and prototype, plan-driven fusion, which enables iterative, closed-loop cooperation between planning and fusion components within a C4ISR environment
Phil DiBona, Nadya Belov, Angela Pawlowski
FUSION2
2005 On Predicting User Intent
Nadya Belov
AAAI1
2005 Mixed-Initiative Approach to Collaboration in the Mathematical Domain
Nadya Belov, Joshua Shaffer
AAAI1
2005 Intellectual teamwork on smartphones
abstract
We demonstrate a software system that runs on smartphones and allows two or more geographically dispersed participants to collaborate on the solution of mathematical problems. We show how participants can create and join a collaborative session, how they can use a virtual whiteboard for the exchange of geometrical drawings and of mathematical formulas, and how they can communicate using text messages. We demonstrate the turn-management mechanism provided by our system, and we show how the system facilitates cross-referencing within the session.
Nadya Belov, Colin Koeck, Werner Krandick, Joshua Shaffer, Thomas T. Hewett
Mobile HCI1
2003 Secure Mobile Agents on Ad Hoc Wireless Networks
Evan Sultanik, Donovan Artz, Gustave Anderson, Moshe Kam, William C. Regli, Maxim Peysakhov, Jonathan Sevy, Nadya Belov, Nicholas Morizio, Andrew Mroczkowski
IAAI8