|
582-1562 |
HOBBIT: A Platform for Benchmarking Big Linked Data |
Accept |
Paul Groth |
|
588-1568 |
FAIR Phenotyping with APHRODITE |
Reject |
Paul Groth |
|
596-1576 |
Collecting, exploring and sharing personal data: why, how and where |
Accept |
Robert Hoehndorf |
|
603-1583 |
String of PURLs: Frugal Migration and Maintenance of Persistent Identifiers |
Accept |
Michel Dumontier |
|
606-1586 |
Towards FAIR principles for research software |
Accept |
Paul Groth |
|
608-1588 |
Modelling and Predicting User Engagement in Mobile Applications |
Accept |
Jodi Schneider |
|
615-1595 |
An Overview of Weather Forecasting Model for Bangladesh Using Regression Based Machine Learning Techniques |
Reject |
Tobias Kuhn |
|
620-1600 |
TriVec: Knowledge Graph Embeddings for Accurate and Efficient Link Prediction in Real World Application Scenarios |
Undecided |
Frank van Harmelen |
|
621-1601 |
Reinforcement learning for personalization: a systematic literature review |
Accept |
Izabela Moise |
|
624-1604 |
Deep Learning based Network Similarity for Model Selection |
Undecided |
Michael Maes |
|
626-1606 |
A Novel Machine Learning Algorithm for Classifying Mortality Risk Patients for Intensive Care Unit Admissions |
Reject |
Michael Krauthammer |
|
628-1608 |
Supervised Learning Inspired Fast Forecasting Model of 2019-nCoV Outbreak using Small Dataset |
Reject |
Christine Chichester |
|
629-1609 |
The complex link between filter bubbles and opinion polarization |
Undecided |
Victor de Boer |
|
630-1610 |
Market Recommender System using machine learning by applying Stochastic gradient descent method |
Reject (Pre-Screening) |
|
|
631-1611 |
Towards improving machine learning algorithms accuracy by benefiting from similarities between cases |
Reject (Pre-Screening) |
|
|
632-1612 |
Cumulative bayesian ridge for handling missing data |
Reject (Pre-Screening) |
|
|
633-1613 |
Application of Concepts of Neighbours to Knowledge Graph Completion |
Accept |
Tobias Kuhn |
|
634-1614 |
Systematic Review of Machine Learning Applied to Finance andAccounting |
Reject (Pre-Screening) |
|
|
635-1615 |
Open Data: The Implications on Privacy in Healthcare Research |
Reject (Pre-Screening) |
Tim Clark |
|
636-1616 |
Experimental Approach for Big Data Analysis using Machine Learning Techniques |
Reject (Pre-Screening) |
|
|
638-1618 |
The Analysis and Forecasting COVID-19 Cases in the United States Using Bayesian Structural Time Series Models |
Reject (Pre-Screening) |
|
|
639-1619 |
Time Series Analysis for An Experimental data of Lithium-ion Battery |
Reject (Pre-Screening) |
|
|
640-1620 |
Analysis to Mammal Studies Based on Mammal Sleep Data |
Reject (Pre-Screening) |
|
|
643-1623 |
A Comparative Review between Programming Tools used in Data Science |
Reject (Pre-Screening) |
|
|
644-1624 |
Performance of CatBoost classifier and other machine learning methods |
Reject (Pre-Screening) |
|
|
645-1625 |
Data Mining Study and Analyzing Households Consumption Patterns: Case of Iran |
Reject (Pre-Screening) |
|
|
646-1626 |
Cumulative bayesian ridge for handling missing data |
Reject (Pre-Screening) |
|
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