Demo Data from EDBT 2026 / reviewers in the wild / expert
Mark E. Epstein
dblp:91/2952
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1Applied, 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.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Embedded and real-time systems · 52% Distributed systems · 48% | |
| Artificial intelligence
1 paper |
Multi-agent systems · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems › real-time operating systems
intertask communication |
0.0 | 1 | 1987 | Intertask communications in an integrated multirobot system · IEEE J. Robotics Autom. 1987 |
Embedded and real-time systems
real-time communication |
0.0 | 1 | 1987 | Intertask communications in an integrated multirobot system · IEEE J. Robotics Autom. 1987 |
Distributed systems › operating system support › interprocess communication
communication primitives |
0.0 | 1 | 1985 | Communication primitives for a distributed multi-robot system · ICRA 1985 |
Distributed systems
distributed coordination |
0.0 | 1 | 1985 | Communication primitives for a distributed multi-robot system · ICRA 1985 |
Distributed systems › distributed coordination › multi-agent systems
multi-robot systems |
0.0 | 1 | 1987 | Intertask communications in an integrated multirobot system · IEEE J. Robotics Autom. 1987 |
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems |
0.0 | 1 | 1985 | Communication primitives for a distributed multi-robot system · ICRA 1985 |
Methods — techniques the papers use, named apart from their topics
synchronization · 0.0concurrency primitives · 0.0port-directed communication · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Improved language modeling for conversational applications using sentence qualityabstractIn this paper, we propose a new approach to build language models for conversationals system using a a corpus of text as a opposed to a live or a Wizard-of-Oz collection. Each sentence in the corpus is assigned a “quality” that reflects the developer's intuition for how likely that sentence is to be spoken by a real user to the live system. Language Models (LM) are built for each sentence quality and these are subsequently interpolated to produce the final model. We also have built a classifier that assigns sentence qualities to the data, and whose subsequent language models achive similar improvements in word and turn error rate. Mark E. Epstein, Bhuvana Ramabhadran, Rajesh Balchandran |
ICASSP | 1 |
| 2008 | A multi-modal spoken dialog system for interactive TVabstractIn this demonstration we present a novel prototype system that implements a multi-modal interface for control of the television. This system combines the standard TV remote control with a dialog management based natural language speech interface to allow users to efficiently interact with the TV, and to seamlessly alternate between the two modalities. One of the main objectives of this system is to make the unwieldy Electronic Program Guide information more navigable by the use of voice to filter and locate programs of interest. Rajesh Balchandran, Mark E. Epstein, Gerasimos Potamianos, Ladislav Serédi |
ICMI | 2 |
| 1987 | Intertask communications in an integrated multirobot systemabstractAn integrated multirobot system (IMRS) consists of two or more robots, machinery, and sensors and is capable of executing almost all industrial processes with efficiency, flexibility, and reliability. Although the IMRS is motivated by an interesting application, it is essentially a distributed real-time processing system with various heterogeneous processes. To support a distributed modular architecture of the IMRS, low-level communication primitives are proposed along with their supporting language syntax which are typical of real-time concurrent programming languages. This is done by 1) carefully examining the generic structure and interactions of IMRS processes, 2) comparing and analyzing the primitives and syntax developed/proposed for general concurrent programming, and 3) using port-directed communications. Kang G. Shin, Mark E. Epstein |
IEEE J. Robotics Autom. | 2 |
| 1985 | Communication primitives for a distributed multi-robot systemabstractAn integrated multi-robot system (IMRS) consists of two or more robots, machinery and sensors, and is capable of executing almost all industrial processes with efficiency, flexibility and reliability. In order to support a distributed, modular architecture of an IMRS in [SHIN84], we propose in this paper low-level communication and synchronization primitives for the IMRS. This is done by comparing and analyzing the primitives developed/proposed for general concurrent programming, and carefully examining the generic structure and interactions of IMRS processes. Kang G. Shin, Mark E. Epstein |
ICRA | 2 |