Johannes De Smedt

Johannes De Smedt

Katholieke Universiteit Leuven

H-index: 20

Europe-Belgium

About Johannes De Smedt

Johannes De Smedt, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of Business Process Modeling, Process Mining, Declarative Business Processes.

His recent articles reflect a diverse array of research interests and contributions to the field:

Forecasting business process models

Extracting Process-Aware Decision Models from Object-Centric Process Data

Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction

Predictive process model monitoring using long short-term memory networks

Data-driven internal mobility: Similarity regularization gets the job done

Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes

Manifold learning in predictive process monitoring

Comparing the Performance of GPT-3 with BERT for Decision Requirements Modeling

Johannes De Smedt Information

University

Position

___

Citations(all)

1386

Citations(since 2020)

1167

Cited By

592

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

34

i10Index(since 2020)

29

Email

University Profile Page

Katholieke Universiteit Leuven

Google Scholar

View Google Scholar Profile

Johannes De Smedt Skills & Research Interests

Business Process Modeling

Process Mining

Declarative Business Processes

Top articles of Johannes De Smedt

Title

Journal

Author(s)

Publication Date

Forecasting business process models

Jente Van Belle

Johannes De Smedt

Artem Polyvyanyy

Jochen De Weerdt

2024/2/9

Extracting Process-Aware Decision Models from Object-Centric Process Data

arXiv preprint arXiv:2401.14847

Alexandre Goossens

Johannes De Smedt

Jan Vanthienen

2024/1/26

Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction

Jinxian Zhao

Jamal Ouenniche

Johannes De Smedt

2024/1/11

Predictive process model monitoring using long short-term memory networks

Engineering Applications of Artificial Intelligence

Johannes De Smedt

Jochen De Weerdt

2024/7/1

Data-driven internal mobility: Similarity regularization gets the job done

Knowledge-Based Systems

Simon De Vos

Johannes De Smedt

Marijke Verbruggen

Wouter Verbeke

2024/4/25

Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes

arXiv preprint arXiv:2403.09232

Alexander Stevens

Chun Ouyang

Johannes De Smedt

Catarina Moreira

2024/3/14

Manifold learning in predictive process monitoring

Welcome to ORBEL 37

Alexander Stevens

Jari Peeperkorn

Johannes De Smedt

Jochen De Weerdt

2023/5/26

Comparing the Performance of GPT-3 with BERT for Decision Requirements Modeling

Alexandre Goossens

Johannes De Smedt

Jan Vanthienen

2023/10/25

A review and experimental evaluation of the state-of-the-art in text classification

Manon Reusens

Alexander Stevens

Jonathan Tonglet

Johannes De Smedt

Wouter Verbeke

...

2023/5/25

From OCEL to DOCEL–Datasets and Automated Transformation

Alexandre Goossens

Adrian Rebmann

Johannes De Smedt

Jan Vanthienen

Han van der Aa

2023/10/23

Process model forecasting and change exploration using time series analysis of event sequence data

Data & Knowledge Engineering

Johannes De Smedt

Anton Yeshchenko

Artem Polyvyanyy

Jochen De Weerdt

Jan Mendling

2023/5/1

Manifold Learning for Adversarial Robustness in Predictive Process Monitoring

Alexander Stevens

Jari Peeperkorn

Johannes De Smedt

Jochen De Weerdt

2023/10/23

Extracting Decision Model and Notation models from text using deep learning techniques

Expert Systems with Applications

Alexandre Goossens

Johannes De Smedt

Jan Vanthienen

2023/1/1

Supporting data-aware processes with MERODE

Software and Systems Modeling

Monique Snoeck

Charlotte Verbruggen

Johannes De Smedt

Jochen De Weerdt

2023/12

Explainability in process outcome prediction: Guidelines to obtain interpretable and faithful models

European Journal of Operational Research

Alexander Stevens

Johannes De Smedt

2023/9/15

Signature-Based Community Detection for Time Series

Marco Gregnanin

Johannes De Smedt

Giorgio Gnecco

Maurizio Parton

2023/11/28

Aligning Object-Centric Event Logs with Data-Centric Conceptual Models

Alexandre Goossens

Charlotte Verbruggen

Monique Snoeck

Johannes De Smedt

Jan Vanthienen

2023/5/31

Enhancing data-awareness of object-centric event logs

Alexandre Goossens

Johannes De Smedt

Jan Vanthienen

Wil MP van der Aalst

2022/10/23

The detection and location estimation of disasters using Twitter and the identification of Non-Governmental Organisations using crowdsourcing

Annals of Operations Research

Christopher Loynes

Jamal Ouenniche

Johannes De Smedt

2022/1

Assessing the robustness in predictive process monitoring through adversarial attacks

Alexander Stevens

Johannes De Smedt

Jari Peeperkorn

Jochen De Weerdt

2022/10/23

See List of Professors in Johannes De Smedt University(Katholieke Universiteit Leuven)

Co-Authors

H-index: 88
Jan Mendling

Jan Mendling

Humboldt-Universität zu Berlin

H-index: 56
Jan Vanthienen

Jan Vanthienen

Katholieke Universiteit Leuven

H-index: 41
Marc Denecker

Marc Denecker

Katholieke Universiteit Leuven

H-index: 38
Geert Poels (ORCID: 0000-0001-9247-6150)

Geert Poels (ORCID: 0000-0001-9247-6150)

Universiteit Gent

H-index: 35
Claudio Di Ciccio

Claudio Di Ciccio

Sapienza Università di Roma

H-index: 34
Monique Snoeck

Monique Snoeck

Katholieke Universiteit Leuven

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