Conference Information

iCMLDE 2019: International Conference on Machine Learning and Data Engineering

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Embed deadline badge
iCMLDE
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.
Submission Date:
2019-09-29 Extended
Notification Date:
2019-10-07
Conference Date:
2019-12-02
Location:
Taipei, Taiwan
Viewed: 18053   Tracked: 5   Attend: 0

Conference Partner Index (CP-I)

43.8 / 100
Ranked #3,239 of 5,650 conferences · Top 58%

#192 of 337 in Data Mining & Databases #384 of 735 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%) No data - scored at the neutral baseline of 50
Community attention (10%)
26
Public record completeness (15%)
25

Inputs used: Researchers following it here: 5 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-05

Call For Papers

iCMLDE 2019 (International Conference on Machine Learning and Data Engineering) is an academic conference held in Taipei, Taiwan on 2019-12-02. The paper submission deadline is 2019-09-29 (extended). Acceptance notifications are sent on 2019-10-07.

As an interdisciplinary international conference this conference welcomes ideas outside of the box, interdisciplinary collaborations as well as new topics for research which may be outside of mainstream. Conference Tracks (It will of course welcome papers on but by no means restricted to in existing disciplines, e.g.) Artificial Intelligence (A. I.) A.I. in Music, Art and Leisure Explainable A.I. Computer Vision Genetic and Evolutionary Computation Machine Learning and Data Mining Medical and Health Applications of Computers, Mathematical Algorithms and A.I. Artificial Neural Networks Deep Learning Reinforcement Learning Pattern Recognition Fuzzy Logic, Learning Theory Reasoning with incomplete data Set Theory; Probabilistic Approaches Computing Paradigms Affective Computing Computer Graphics Biometrics Aqua Farm Low- Level Vision and Image processing Motion and Tracking Robotics Phase Array Antennae Applications of Radar Statistical Methods Testing and Performance Evaluation Biomedical Image Analysis Video Analysis and Event Recognition Signal Processing Support Vector Machine Bayesian Belief Networks Data Classification and Regression Denoising Functional Recovery Interpretation and Approximation Spectral and Area Based Methods Data and Image Compression Data Science and Big Data Cloud Computing High Performance Computing Scalable Computing Computations on GPU Information Retrieval Cyber Security and Privacy for Big Data Cyber-attacks Cyber Security Knowledge Discovery, Integration and Transformation Social Epidemiology, algorithms in Neuroscience Neuro-psychoanalysis Social Media, Social Network and Social Data Classification of Diseases Cladistics Genomic Sequencing Developmental Biology Origin of Life
Last updated by Dou Sun on

Related Journals

CCFFull NameImpact FactorPublisherISSN
BMachine Learning2.9Springer0885-6125
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

Comments 0

No comments yet.

Please Login to post a comment