Heiner Stuckenschmidt

University of Mannheim

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Articles (20)

Collaborators (12)

Christoph Bode

University of Mannheim

Taha Alhersh

University of Mannheim

Diana Sola

University of Mannheim

Sascha Marton

Simone Paolo Ponzetto

University of Mannheim

Han van der Aa

University of Mannheim

Christian Meilicke

University of Mannheim

Atiq Ur Rehman

Mälardalen University

Tobias Reggelin

Fraunhofer Institute for Factory Operation and Automation

Margret Keuper

University of Siegen

Andrej Tschalzev

University of Mannheim

Bernhard Schäfer

University of Mannheim

Heiner Stuckenschmidt

Research Interests

Explore related searches

Contact this professor

Articles (20)

Collaborators (12)

Christoph Bode

Taha Alhersh

Diana Sola

Sascha Marton

Simone Paolo Ponzetto

Han van der Aa

Christian Meilicke

Atiq Ur Rehman

Tobias Reggelin

Margret Keuper

Andrej Tschalzev

Bernhard Schäfer

How do I reach out?

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Heiner Stuckenschmidt

Research Interests

Explore related searches

Contact this professor

Articles (20)

An LSTM network-based genetic algorithm for integrated procurement and scheduling optimisation

Discovering multi-agent systems for resource-centric business process simulation

Machine learning for master production scheduling: combining probabilistic forecasting with stochastic optimisation

Overcoming data scarcity in calibrating SUMO scenarios with evolutionary algorithms

Pricing parking for fairness — A simulation study based on an empirically calibrated model of parking behavior

Explaining neural networks without access to training data

Artificial intelligence and machine learning in purchasing and supply management: A mixed-methods review of the state-of-the-art in literature and practice

Knowledge graph completion for activity recommendation in business process modeling

Investigating demographic features and their connection to performance, predictions, and fairness in EDM models

Anytime bottom-up rule learning for large-scale knowledge graph completion

Designing an AI purchasing requisition bundling generator

Exploiting Label Semantics For Rule-Based Activity Recommendation In Business Process Modeling

Sketch2Process: End-to-end BPMN Sketch Recognition Based on Neural Networks

Predicting master’s students’ academic performance: An empirical study in Germany

Learning Human Activity From Visual Data Using Deep Learning

Political text scaling meets computational semantics

Arrow R-CNN for handwritten diagram recognition

Assessing students' self-assessment ability in an interdisciplinary domain

Daily retail demand forecasting using machine learning with emphasis on calendric special days

Data-driven smart charging for heterogeneous electric vehicle fleets

Collaborators (12)

Christoph Bode

Taha Alhersh

Diana Sola

Sascha Marton

Simone Paolo Ponzetto

Han van der Aa

Christian Meilicke

Atiq Ur Rehman

Tobias Reggelin

Margret Keuper

Andrej Tschalzev

Bernhard Schäfer

How do I reach out?

Meet Kite AI