Demo Data from EDBT 2026 / reviewers in the wild / expert
Ajay Apte
dblp:04/4414
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-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.
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 100% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › pen input
pen and sketch input |
0.0 | 1 | 1993 | Recognizing Multistroke Geometric Shapes: An Experimental Evaluation · ACM Symposium on User Interface Software and Technology 1993 |
Methods — techniques the papers use, named apart from their topics
experimental evaluation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | A Generic Framework for Application Configuration Discovery with Pluggable KnowledgeabstractDiscovering application configurations and dependencies in the existing runtime environment is a critical prerequisite to the success of cloud migration, which attracts many attentions from both researchers and commercial vendors. However, the high complexity and diversity of enterprise applications as well as their runtime environment challenge the existing approaches which generally depend on the pre-built domain specific knowledge. In this paper, we propose a generic framework for application configuration discovery which can be applied even when the domain knowledge is missing or incomplete. We design a generic approach to significantly narrow down the configuration discovery scale based on the iterative comparison and enable users to manually identify configurations from reasonable scaled file sets with semantic tags. To maximize automation, we further design an easy extensible and pluggable knowledge base to assist configuration discovery. Through extensive case study, the capability and efficiency of our framework have been demonstrated. Fan Jing Meng, Xuejun Zhuo, Bo Yang 0013, Jing Min Xu, Pu Jin, Ajay Apte, Joe Wigglesworth |
IEEE CLOUD | 6 |
| 1993 | Recognizing Multistroke Geometric Shapes: An Experimental EvaluationabstractArticle Free Access Share on Recognizing multistroke geometric shapes: an experimental evaluation Authors: Ajay Apte Laboratory for Pen-Based Silicon Paper Technology (PenLab), Department of Computer Science, Washington University, St. Louis, MO Laboratory for Pen-Based Silicon Paper Technology (PenLab), Department of Computer Science, Washington University, St. Louis, MOView Profile , Van Vo Laboratory for Pen-Based Silicon Paper Technology (PenLab), Department of Computer Science, Washington University, St. Louis, MO Laboratory for Pen-Based Silicon Paper Technology (PenLab), Department of Computer Science, Washington University, St. Louis, MOView Profile , Takayuki Dan Kimura Laboratory for Pen-Based Silicon Paper Technology (PenLab), Department of Computer Science, Washington University, St. Louis, MO Laboratory for Pen-Based Silicon Paper Technology (PenLab), Department of Computer Science, Washington University, St. Louis, MOView Profile Authors Info & Claims UIST '93: Proceedings of the 6th annual ACM symposium on User interface software and technologyDecember 1993 Pages 121–128https://doi.org/10.1145/168642.168654Published:01 December 1993Publication History 49citation951DownloadsMetricsTotal Citations49Total Downloads951Last 12 Months53Last 6 weeks7 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF Ajay Apte, Van Vo, Takayuki Dan Kimura |
ACM Symposium on User Interface Software and Technology | 1 |