Heiner Stuckenschmidt

About Heiner Stuckenschmidt

Heiner Stuckenschmidt, With an exceptional h-index of 65 and a recent h-index of 34 (since 2020), a distinguished researcher at Universität Mannheim, specializes in the field of Artificial Intelligence, Data Management, Distributed Systems, Data Science, dws@uma.

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

What fairness metrics can really tell you: A case study in the educational domain

Evaluating the impact of different acoustic contexts on German speech recognition

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

Designing an AI purchasing requisition bundling generator

Explaining neural networks without access to training data

A framework for human-centered AI-based public policies

RAISE the Bar: Restriction of Action Spaces for Improved Social Welfare and Equity in Traffic Management

History repeats itself: A Baseline for Temporal Knowledge Graph Forecasting

Heiner Stuckenschmidt Information

University

Position

___

Citations(all)

16845

Citations(since 2020)

4462

Cited By

13950

hIndex(all)

65

hIndex(since 2020)

34

i10Index(all)

225

i10Index(since 2020)

110

Email

University Profile Page

Google Scholar

Heiner Stuckenschmidt Skills & Research Interests

Artificial Intelligence

Data Management

Distributed Systems

Data Science

dws@uma

Top articles of Heiner Stuckenschmidt

What fairness metrics can really tell you: A case study in the educational domain

2024/3/18

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

Evaluating the impact of different acoustic contexts on German speech recognition

2024/3/11

Darshit Pandya
Darshit Pandya

H-Index: 0

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

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

2024/2/8

Christoph Bode
Christoph Bode

H-Index: 7

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

Designing an AI purchasing requisition bundling generator

Computers in Industry

2024/2/1

Christoph Bode
Christoph Bode

H-Index: 7

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

Explaining neural networks without access to training data

Machine Learning

2024/1/10

A framework for human-centered AI-based public policies

Human-Centered AI

2024

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

RAISE the Bar: Restriction of Action Spaces for Improved Social Welfare and Equity in Traffic Management

2024/5/6

Christian Bartelt
Christian Bartelt

H-Index: 8

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

History repeats itself: A Baseline for Temporal Knowledge Graph Forecasting

arXiv preprint arXiv:2404.16726

2024/4/25

Christian Meilicke
Christian Meilicke

H-Index: 21

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances

arXiv preprint arXiv:2404.06267

2024/4/9

Han Van Der Aa
Han Van Der Aa

H-Index: 15

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

GradTree: Learning axis-aligned decision trees with gradient descent

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Rule-based knowledge graph completion with canonical models

2023/10/21

Christian Meilicke
Christian Meilicke

H-Index: 21

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

GRANDE: Gradient-Based Decision Tree Ensembles

arXiv preprint arXiv:2309.17130

2023/9/29

Learning disentangled discrete representations

2023/9/18

Christian Reimers
Christian Reimers

H-Index: 1

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

Planning landmark based goal recognition revisited: Does using initial state landmarks make sense?

2023/9/18

Nils Wilken
Nils Wilken

H-Index: 1

Christian Bartelt
Christian Bartelt

H-Index: 8

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

Comparing apples and oranges? on the evaluation of methods for temporal knowledge graph forecasting

2023/9/17

Lokesh Sharma
Lokesh Sharma

H-Index: 20

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

On the aggregation of rules for knowledge graph completion

arXiv preprint arXiv:2309.00306

2023/9/1

Towards utilitarian online learning-A review of online algorithms in open feature space

2023/8/19

Top-down influence? Predicting CEO personality and risk impact from speech transcripts

Proceedings of the International AAAI Conference on Web and Social Media

2023/6/2

Kilian Theil
Kilian Theil

H-Index: 4

Dirk Hovy
Dirk Hovy

H-Index: 26

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

Effect graph: Effect relation extraction for explanation generation

2023/6

Jonathan Kobbe
Jonathan Kobbe

H-Index: 2

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

Experiencing Data on Location: A Case Study of Visualizing Air Quality for Citizens

KN-Journal of Cartography and Geographic Information

2023/6

Christoph Huber
Christoph Huber

H-Index: 4

Heiner Stuckenschmidt
Heiner Stuckenschmidt

H-Index: 32

See List of Professors in Heiner Stuckenschmidt University(Universität Mannheim)

Co-Authors

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