Demo Data from EDBT 2026 / reviewers in the wild / expert
Andrew Butcher
dblp:60/7070
· DBLP profile ↗
11ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-2209-4250ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 8 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 8 · 1 first-authorSoftware engineering, systems software and programming languages · 2Applied, 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.
| Software engineering, system software, and programming languages
2 papers |
Empirical software engineering · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 67% Computational science and engineering · 33% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering
software effort estimation |
0.3 | 2 | 2013 | Local versus Global Lessons for Defect Prediction and Effort Estimation · IEEE Trans. Software Eng. 2013 Local vs. global models for effort estimation and defect prediction · ASE 2011 |
Empirical software engineering › mining software repositories
defect prediction |
0.2 | 1 | 2013 | Local versus Global Lessons for Defect Prediction and Effort Estimation · IEEE Trans. Software Eng. 2013 |
Computational science and engineering › scientific data management
database curation |
0.1 | 1 | 2009 | EchoLOCATION: an in silico analysis of the subcellular locations of Escherichia coli proteins and comparison with experimentally derived locations · Bioinform. 2009 |
Bioinformatics and computational biology › protein function prediction
protein subcellular localization prediction |
0.1 | 1 | 2009 | EchoLOCATION: an in silico analysis of the subcellular locations of Escherichia coli proteins and comparison with experimentally derived locations · Bioinform. 2009 |
Bioinformatics and computational biology › proteomics › computational proteomics
proteome annotation |
0.1 | 1 | 2009 | EchoLOCATION: an in silico analysis of the subcellular locations of Escherichia coli proteins and comparison with experimentally derived locations · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
local modeling · 0.2data mining · 0.2rule learning · 0.2clustering · 0.2prediction algorithm integration · 0.1literature curation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Formant Measures of Vowels Adjacent to Alveolar and Retroflex Consonants in Arrernte: Stressed and Unstressed Position
Marija Tabain, Richard Beare, Andrew Butcher |
INTERSPEECH | 3 |
| 2014 | Lateral formants in three central australian languages
Marija Tabain, Andrew Butcher, Gavan Breen, Richard Beare |
INTERSPEECH | 2 |
| 2013 | A preliminary spectral analysis of palatal and velar stop bursts in pitjantjatjara
Marija Tabain, Richard Beare, Andrew Butcher |
INTERSPEECH | 3 |
| 2013 | Local versus Global Lessons for Defect Prediction and Effort EstimationabstractExisting research is unclear on how to generate lessons learned for defect prediction and effort estimation. Should we seek lessons that are global to multiple projects or just local to particular projects? This paper aims to comparatively evaluate local versus global lessons learned for effort estimation and defect prediction. We applied automated clustering tools to effort and defect datasets from the PROMISE repository. Rule learners generated lessons learned from all the data, from local projects, or just from each cluster. The results indicate that the lessons learned after combining small parts of different data sources (i.e., the clusters) were superior to either generalizations formed over all the data or local lessons formed from particular projects. We conclude that when researchers attempt to draw lessons from some historical data source, they should 1) ignore any existing local divisions into multiple sources, 2) cluster across all available data, then 3) restrict the learning of lessons to the clusters from other sources that are nearest to the test data. Tim Menzies, Andrew Butcher, David R. Cok, Andrian Marcus, Lucas Layman, Forrest Shull, Burak Turhan, Thomas Zimmermann 0001 |
IEEE Trans. Software Eng. | 2 |
| 2011 | Building an Audio-Visual Corpus of Australian English: Large Corpus Collection with an Economical Portable and Replicable Black BoxabstractThe Big Australian Speech Corpus project incorporates the strategic goals of 30 Chief Investigators from various speech science areas. Speech from 1000 geographically and socially diverse speakers is being recorded using a uniform and automated protocol plus standardized hardware and software to produce a widely applicable and extensible database – AusTalk. Here we describe the project’s major components and organization; share the lessons learnt from difficulties and challenges; and present the results achieved so far. Denis Burnham, Dominique Estival, Steven Fazio, Jette Viethen, Felicity Cox, Robert Dale, Steve Cassidy, Julien Epps, Roberto Togneri, Michael Wagner 0004, Yuko Kinoshita, Roland Göcke, Joanne Arciuli, Mark Onslow, Trent W. Lewis, Andrew Butcher, John Hajek |
INTERSPEECH | 16 |
| 2011 | Long Term Average Speech Spectra in Yolngu Matha and Pitjantjatjara Speaking Females and MalesabstractThis paper provides a spectral analysis of two Australian languages Yolngu Matha (YM), Pitjantjatjara (PTJ) and Australian Aboriginal English (AAE) as spoken in two language communities. The aim of this study is to show clear quantitative spectral differences between Australian Aboriginal English and the two Aboriginal languages. Thirteen speakers of Yolngu Matha (YolNu Matha) ten male, three female and three female speakers of Pitjantjatjara were recorded reading or retelling a passage in their first language and also in English. The results show that there is a difference between the spectral averages of the two language groups with the AAE having higher amplitudes at higher frequencies when compared to the two Australian languages. The Australian Aboriginal language examples all show higher amplitudes for frequencies between 750 Hz and 2 kHz for all speakers. Copyright © 2011 ISCA. Hywel Stoakes, Andrew Butcher, Janet Fletcher, Marija Tabain |
INTERSPEECH | 2 |
| 2011 | Local vs. global models for effort estimation and defect predictionabstractData miners can infer rules showing how to improve either (a) the effort estimates of a project or (b) the defect predictions of a software module. Such studies often exhibit conclusion instability regarding what is the most effective action for different projects or modules. This instability can be explained by data heterogeneity. We show that effort and defect data contain many local regions with markedly different properties to the global space. In other words, what appears to be useful in a global context is often irrelevant for particular local contexts. This result raises questions about the generality of conclusions from empirical SE. At the very least, SE researchers should test if their supposedly general conclusions are valid within subsets of their data. At the very most, empirical SE should become a search for local regions with similar properties (and conclusions should be constrained to just those regions). Tim Menzies, Andrew Butcher, Andrian Marcus, Thomas Zimmermann 0001, David R. Cok |
ASE | 2 |
| 2009 | EchoLOCATION: an in silico analysis of the subcellular locations of Escherichia coli proteins and comparison with experimentally derived locationsabstractAbstract Summary: EchoLOCATION is a database that provides a comprehensive analysis of the subcellular locations of Escherichia coli K-12 proteins. Locations are predicted by integrating data from a range of publicly available algorithms combined with extensive curation of experimental literature. The data can be searched in a variety of ways and can generate lists of subcellular proteomes for analysis. Experimental evidence supports the locations of over 500 envelope proteins (periplasm, inner and outer membrane). From analysis of disagreements between in silico predictions and experimental data, we provide an analysis of protein types where subcellular prediction algorithms are currently not accurate. Availability: http://www.ecoli-york.org/ Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online. Richard S. P. Horler, Andrew Butcher, Nikitas Papangelopoulos, Peter D. Ashton, Gavin H. Thomas |
Bioinform. | 2 |
| 2008 | The vowels of Australian Aboriginal EnglishabstractBasilectal varieties of Australian Aboriginal English (AAE), which are heavily influenced by the indigenous substrate, may have a very restricted set of vowels compared to Standard Australian English (SAE). A comparison of the vowels of a small group of acrolectal AAE speakers with those of the standard accent suggests that even in varieties with the same set of phonemes as SAE, speakers are using a somewhat smaller phonetic vowel space. The lower boundaries of the AAE and indigenous language spaces are very similar and, whereas the SAE vowel space represents an expansion in all directions compared with the indigenous space, the AAE space represents an expansion in an ‘upward’ (lower F1) direction only. Within their respective spaces, the relative positions of the monophthongs are quite similar in SAE and AAE. Diphthong trajectories are also similar, except that some have shorter trajectories (more centralised second targets) in AAE. Most of the differences there are can be viewed as more conservative features in the AAE accent. Andrew Butcher, Victoria Anderson |
INTERSPEECH | 1 |
| 2008 | Coarticulation in nasal and lateral clusters in Warlpiri
Janet Fletcher, Debbie Loakes, Andrew Butcher |
INTERSPEECH | 3 |
| 2008 | Phonetically prestopped laterals in Australian languages: a preliminary investigation of WarlpiriabstractPhonologically prestopped nasals occur primarily in central and southern Australian languages. Phonetically prestopped nasals on the other hand, occur in a large number of Australian languages and are not isolated to one particular region. Phonetically prestopped nasals have been analysed as a preservation of spectral characteristics at vowel-sonorant boundaries in languages which have a comparatively large number of sonorant contrasts. In this paper we describe acoustic, articulatory and durational characteristics of rarely mentioned phonetically prestopped laterals, in the Australian language Warlpiri. We conclude that like prestopped nasals, prestopped laterals are likely to be the outcome of a coarticulatory avoidance strategy to preserve the left-edge of the sonorant. While not auditorily salient, we report on the frequent distribution and very distinctive phonetic characteristics associated with prestopped laterals. Copyright © 2008 ISCA. Debbie Loakes, Andrew Butcher, Janet Fletcher, Hywel Stoakes |
INTERSPEECH | 2 |