MétaCan
Menu
Back to cohort
Record W3010430734

Dynamic 3d sequence capture and enhancement

2017· article· en· W3010430734 on OpenAlexfundno aff
Ljubomir Jovanov, Wilfried Philips

Bibliographic record

VenueGhent University Academic Bibliography (Ghent University) · 2017
Typearticle
Languageen
FieldComputer Science
TopicAlgorithms and Data Compression
Canadian institutionsnot available
FundersBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaVlaamse regeringIran Telecommunication Research CenterSimon Fraser UniversityMitacsIC Design Education CenterNational Research Foundation of KoreaFonds Wetenschappelijk OnderzoekSungkyunkwan UniversityNational Research Foundation
KeywordsSequence (biology)Computer scienceArtificial intelligenceBiologyGenetics
DOInot available

Abstract

fetched live from OpenAlex

Arcashon (2011), London (2013) and Ghent (2015).It has been 18 years since prof.E.Lueder was entrusted by SID to organize the EuroDisplay-1999 Conference and Exhibition in Berlin.I wish you a warm welcome to Berlin again and will trust you will find time to enjoy its many delights.EuroDisplay 2017 will present the progress made in display research in a broad range of fields ranging from basic principles, display devices and display research to manufacturing and image quality will be presented at 8 sessions in two parallel tracks.Looking back over the past years, nobody could forecast the dramatic changes we have seen in the availability of very advanced flat-panel displays and other modern devices for broad areas of applications.I think that the worldwide display community made a tremendous job during last years and can be proud of what it has achieved.This Proceedings includes 3 keynote addresses, 14 invited papers, more than 70 oral and 40 poster presentations from all over the world.The Conference program is structured around a number of topics, Liquid Crystal and OLED technologies are especially prominent.All camera-ready papers published in this Proceedings have been mainly preserved in their original form.I especially acknowledge the very efficient contribution of Program Committee members who carefully reviewed all proposals in a short time.Thanks to all of them the number and quality of papers is unexpectedly high.We sincerely thank all the authors for their contribution.The Sponsors who kindly provided the financial support for the Conference are deeply acknowledged.I and other Organizing Committee's members trust you will enjoy your stay in Berlin and of course find the Conference of enormous benefit.I welcome all of you to EuroDisplay 2017,

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.785
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.005
Science and technology studies0.0020.000
Scholarly communication0.0000.004
Open science0.0040.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.239
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueGhent University Academic Bibliography (Ghent University)Same topicAlgorithms and Data CompressionFrench-language works237,207