Demo Data from VLDB 2026 / reviewers in the wild / expert
Mahsa Moein
dblp:73/10218
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
bioimage informatics |
0.1 | 1 | 2018 | CaSiAn: a Calcium Signaling Analyzer tool · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
statistical analysis · 0.3peak detection · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | CaSiAn: a Calcium Signaling Analyzer toolabstractSummary: Ca2+ is a central second messenger in eukaryotic cells that regulates many cellular processes. Recently, we have indicated that typical Ca2+ signals are not purely oscillatory as widely assumed, but exhibit stochastic spiking with cell type and pathway specific characteristics. Here, we present the Calcium Signaling Analyzer (CaSiAn), an open source software tool that allows for quantifying these signal characteristics including individual spike properties and time course statistics in a semi-automated manner. CaSiAn provides an intuitive graphical user interface allowing experimentalists to easily process a large amount of Ca2+ signals, interactively tune peak detection, revise statistical measures and access the quantified signal properties as excel or text files. Availability and implementation: CaSiAn is implemented in Java and available on Github (https://github.com/mmahsa/CaSiAn) as well as on the project page (http://r3lab.uni.lu/web/casa). Supplementary information: Supplementary data are available at Bioinformatics online. Mahsa Moein, Kamil Grzyb, Teresa Gonçalves Martins, Shinya Komoto, Francesca Peri, Alexander D. Crawford, Aymeric Fouquier d'Hérouël, Alexander Skupin |
Bioinform. | 1 |
| 2009 | Iris Disease Classifying Using Neuro-Fuzzy Medical Diagnosis Machine
Sara Moein, Mohamad Hossein Saraee, Mahsa Moein |
ISNN (4) | 3 |