Description
From Data to Models and Back, 1st ed. 2021
9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers
Programming and Software Engineering Series
Coordinators: Bowles Juliana, Broccia Giovanna, Nanni Mirco
Language: EnglishSubject for From Data to Models and Back:
Support: Print on demand
Description
/li>Contents
/li>
This book constitutes the refereed proceedings of the 9th International Symposium on From Data Models and Back, DataMod 2020, held virtually, in October 2020.
The 11 full papers and 3 short papers presented in this book were selected from 19 submissions. The papers are grouped in these topical sections: machine learning; simulation-based approaches, and data mining and processing related approaches.
Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks.- Exploring Graph-Based Neural Networks for Automatic Brain Tumor Segmentation.- STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction.- A Simulation-Based Approach for the Behavioural Analysis of Cancer Pathways.- Discovering the Impact of Notifications on Social Network Addiction.- A Simulation Study on Demand Disruptions and Limited Resources for Healthcare Provision.- A Formal Model for Emulating the Generation of Human Knowledge in Semantic Memory.- Analysis of COVID-19 data with PRISM: Parameter Estimation and SIR Modelling.- A Formal Model for the Simulation and Analysis of Early Biofilm Formation.- Query Rewriting On Path Views Without Integrity Constraints.- Evaluating Trace Encoding Methods in Process Mining.- Semantic Annotations in Clinical Guidelines.- Deriving Performance Measures of Workflow in Radiation Therapy from Real-Time Data.- Handshape Classification in a Reverse Dictionary of Sign Languages for the Deaf.