Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kenneth Basye
dblp:35/716
· DBLP profile ↗
8ranked-venue papers
4as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 8 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-authorSystems, architecture and hardware · 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
5 papers |
Motion planning and robot control · 35% Robot navigation and mapping · 23% Learning theory · 20% | |
| Theoretical computer science
1 paper |
Automata and formal languages · 100% |
Topics — the 9 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning theory
learning dynamics |
0.0 | 1 | 1995 | Learning Dynamics: System Identification for Perceptually Challenged Agents · Artif. Intell. 1995 |
Robotics › Motion planning and robot control
system identification |
0.0 | 1 | 1995 | Learning Dynamics: System Identification for Perceptually Challenged Agents · Artif. Intell. 1995 |
Automata and formal languages
finite automata |
0.0 | 1 | 1992 | Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning · AAAI 1992 |
Robotics › Robot navigation and mapping › map building
map learning |
0.0 | 2 | 1992 | Coping With Uncertainty in Map Learning · IJCAI 1989 Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning · AAAI 1992 |
Robotics › Motion planning and robot control › mobile robot control
navigation control |
0.0 | 1 | 1991 | Sensor abstractions for control of navigation · ICRA 1991 |
Machine learning › Reinforcement learning
exploration |
0.0 | 1 | 1990 | Coping with Uncertainty in a Control System for Navigation and Exploration · AAAI 1990 |
Robotics › Robot navigation and mapping › mobile robot navigation
navigation under uncertainty |
0.0 | 1 | 1990 | Coping with Uncertainty in a Control System for Navigation and Exploration · AAAI 1990 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
uncertainty reasoning |
0.0 | 1 | 1989 | Coping With Uncertainty in Map Learning · IJCAI 1989 |
Robotics › Motion planning and robot control › motion planning
sensor-based motion planning |
0.0 | 1 | 1991 | Sensor abstractions for control of navigation · ICRA 1991 |
Methods — techniques the papers use, named apart from their topics
spatial abstraction · 0.0bayesian decision theory · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Coping with Uncertainty in Map Learning
Kenneth Basye, Thomas L. Dean, Jeffrey Scott Vitter |
Mach. Learn. | 1 |
| 1995 | Learning Dynamics: System Identification for Perceptually Challenged Agents
Kenneth Basye, Thomas L. Dean, Leslie Pack Kaelbling |
Artif. Intell. | 1 |
| 1995 | Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
Thomas L. Dean, Dana Angluin, Kenneth Basye, Shlomo Argamon, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron |
Mach. Learn. | 3 |
| 1992 | Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
Thomas L. Dean, Dana Angluin, Kenneth Basye, Shlomo Argamon, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron |
AAAI | 3 |
| 1991 | Sensor abstractions for control of navigationabstractAn approach to building high-level control systems for robotics that is based on Bayesian decision theory is presented. The authors show how this approach provides a natural and modular way of integrating sensing and planning. They develop a simple solution for a particular problem as an illustration. They also examine the cost of using such a model and consider the areas in which abstraction can reduce this cost. The authors focus on the area of spatial abstraction. They discuss an abstraction that has been used to solve problems involving robot navigation and give a detailed account of the mapping from raw sensor data to the abstraction.> Jak Kirman, Kenneth Basye, Thomas L. Dean |
ICRA | 2 |
| 1990 | Coping with Uncertainty in a Control System for Navigation and Exploration
Thomas L. Dean, Kenneth Basye, Robert Chekaluk, Seungseok Hyun, Moises Lejter, Margaret Randazza |
AAAI | 2 |
| 1989 | Coping With Uncertainty in Map Learning
Kenneth Basye, Thomas L. Dean, Jeffrey Scott Vitter |
IJCAI | 1 |
| 1989 | Map Learning with Indistinguishable Locations
Kenneth Basye, Thomas L. Dean |
UAI | 1 |