| Vol-3350 urn:nbn:de:0074-3350-3 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# CI4PM-PAI 2022
Joint Proceedings of CI4PM 2022 and PAI 2022

### Joint Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), co-located with the IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, July 18-23, 2022.

Edited by

### Marco Pegoraro 1
Davide Bacciu 2
Andrea Burattin 3
Antonio Carta 2
Patrizio Dazzi 4
Massimiliano de Leoni 5
Magdalini Eirinaki 6
Iraklis Varlamis 7

1 Chair of Process and Data Science (PADS), RWTH Aachen University, Ahornstr. 55, 52074 Aachen, Germany
2 Department of Computer Science, University of Pisa, Pisa, Italy
3 Technical University of Denmark, 2800 Kgs. Lyngby, Copenhagen, Denmark
4 ISTI-CNR, Pisa, Italy
5 Department of Mathematics, University of Padua, Padua, Italy
6 Computer Engineering Department, San Jose State University (SJSU), San Jose, California, USA
7 Department of Informatics and Telematics, Harokopio University of Athens, Omirou 9, Tavros, 17778 Athens, Greece

## Table of Contents

- Preface 1-7
  Marco Pegoraro, Davide Bacciu, Andrea Burattin, Antonio Carta, Patrizio Dazzi, Massimiliano de Leoni, Magdalini Eirinaki, Iraklis Varlamis

### International Workshop on Computational Intelligence for Process Mining (CI4PM 2022)

- Interactive Trace Clustering to Enhance Incident Completion Time Prediction in Process Mining 8-20
  Thais Rodrigues Neubauer, Alexandre Gastaldi Lopes Fernandes, Marcelo Fantinato, Sarajane Marques Peres
- Pattern-based Reconstruction of Anomalous Traces in Business Process Event Logs 21-32
  Jonghyeon Ko, Marco Comuzzi
- Impact of Non-Fitting Cases for Remaining Time Prediction in a Multi-Attribute Process-Aware Method 33-45
  Alexandre Gastaldi Lopes Fernandes, Thais Rodrigues Neubauer, Marcelo Fantinato, Sarajane Marques Peres

### International Workshop on Pervasive Artificial Intelligence (PAI 2022)

- Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models 46-55
  Rudy Semola, Vincenzo Lomonaco, Davide Bacciu
- Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding 56-67
  Antonio Carta, Giacomo Carfì, Valerio De Caro, Claudio Gallicchio
- Making FreeRTOS Pervasive Systems Learn to Select Energy Saving Technique for Mixed Taskset 68-77
  Deepak Ramegowda, Man Lin
- A Cloud-based Continual Learning System for Road Sign Classification in Autonomous Driving 78-83
  Charalampos Davalas, Dimitrios Michail, Iraklis Varlamis, Konstantinos Tserpes

2023-02-22: submitted by Marco Pegoraro, metadata incl. bibliographic data published under Creative Commons CC0
2023-02-24: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|