Yoann VALERO

Teaching (2022)

Statistical Process Control (SPC) at Université de Strasbourg for 1st year students in Master's degree in Statistics:

• Quality control
• Control cards
  • Shewhart, xbar, S, p, np, u, c, D, EWMA, CUSUM
• Process capability
• Sampling plans
• Batch control

Seminars (2020 - 2021 - 2022)

Process Mining at Université de Technologie de Troyes for Specialised Master's BDAAD degree students:

• Sequence analysis
  • Precedence matrix
  • Transversal Shannon entropy
• Process modeling
  • Process maps
  • Petri nets
• Process Mining
  • General principles
  • Discovery algorithms (Flexible Heuristics Miner)
• Trace clustering
  • Distance-based clustering
  • Model-based clustering
  • Sub-sequence analysis

Research Topics:

• Deep Learning
• Applied Mathematics
• Predictive Business Process Monitoring

Communications

SHEiC 2021

Introduction to Process Mining for the Improvement of Patient’s Journeys

• https://hal.archives-ouvertes.fr/hal-03577183

SDSS 2022

Use of Process Crowding in Conditional WGAN for Remaining Process Events Prediction

• https://ww2.amstat.org/meetings/sdss/2022/onlineprogram/AbstractDetails.cfm?AbstractID=310155

ENBIS Trondheim

Adding Covariables and Learning Rules to GAN for Process Units’ Suffix Predictions

• https://conferences.enbis.org/event/18/contributions/309/

JSM 2022

Introduction to Process Mining — Professional Development Continuing Education Course

• https://ww2.amstat.org/meetings/jsm/2022/onlineprogram/ActivityDetails.cfm?SessionID=223499

Feature Engineering Approach for Learning and Predicting Process Units with Two Timestamps

• https://ww2.amstat.org/meetings/jsm/2022/onlineprogram/AbstractDetails.cfm?abstractid=323533

COMPSTAT 2022

Reinforcement learning for next best action recommendation in process data

• View Submission (cmstatistics.org)  (http link, does not open on Firefox)