Mathias Kern

Orcid: 0000-0003-3734-6542

According to our database1, Mathias Kern authored at least 26 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion.
IEEE Access, 2022

Job Assignment Problem and Traveling Salesman Problem: A Linked Optimisation Problem.
Proceedings of the Artificial Intelligence XXXIX, 2022

Facility location problem and permutation flow shop scheduling problem: a linked optimisation problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A hyper-heuristic approach for the PDPTW.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Evaluating Explainability Methods Intended for Multiple Stakeholders.
Künstliche Intell., 2021

rx-anon - A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm.
CoRR, 2021

Enhanced Deep Type-2 Fuzzy Logic System For Global Interpretability.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

A novel approach on the joint de-identification of textual and relational data with a modified mondrian algorithm.
Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021

2020
Ensemble-Based Relationship Discovery in Relational Databases.
Proceedings of the Artificial Intelligence XXXVII, 2020

Hybrid Deep Learning Type-2 Fuzzy Logic Systems For Explainable AI.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019
Developing a Catalogue of Explainability Methods to Support Expert and Non-expert Users.
Proceedings of the Artificial Intelligence XXXVI, 2019

Predicting Bid Success with a Case-Based Reasoning Approach: Explainability and Business Acceptance.
Proceedings of the Artificial Intelligence XXXVI, 2019

A hybrid metaheuristic approach to a real world employee scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Depicting Decision-Making: A Type-2 Fuzzy Logic Based Explainable Artificial Intelligence System for Goal-Driven Simulation in the Workforce Allocation Domain.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
Enabling Field Force Operational Sustainability: A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Goal-Driven Simulation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Risk Information Recommendation for Engineering Workers.
Proceedings of the Artificial Intelligence XXXV, 2018

Incorporating Risk in Field Services Operational Planning Process.
Proceedings of the Artificial Intelligence XXXV, 2018

Workforce Rostering via Metaheuristics.
Proceedings of the Artificial Intelligence XXXV, 2018

Shift Scheduling and Employee Rostering: An Evolutionary Ruin & Stochastic Recreate Solution.
Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018

Improving Goal-Driven Simulation Performance Using Fuzzy Membership Correlation Analysis.
Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018

2017
Decision Support System for Green Real-Life Field Scheduling Problems.
Proceedings of the Artificial Intelligence XXXIV, 2017

2012
Neural network demand models and evolutionary optimisers for dynamic pricing.
Knowl. Based Syst., 2012

2010
Dynamic Pricing with Neural Network Demand Models and Evolutionary Algorithms.
Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

2008
An Auction-Based System for Workforce Resource Allocation.
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

2006
Parameter adaptationn in heuristic search : a population based approach.
PhD thesis, 2006

FieldPlan: Tactical Field Force Planning in BT.
Proceedings of the Artificial Intelligence in Theory and Practice, 2006


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