Anna Kruspe

Anna Kruspe

Technische Universität München

H-index: 17

Europe-Germany

About Anna Kruspe

Anna Kruspe, With an exceptional h-index of 17 and a recent h-index of 14 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Natural Language Processing, Information Retrieval, Machine Learning, Signal Processing, Speech Recognition.

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

Towards detecting unanticipated bias in Large Language Models

More than words: Advancements and challenges in speech recognition for singing

A survey of uncertainty in deep neural networks

Towards Large-scale Building Attribute Mapping using Crowdsourced Images: Scene Text Recognition on Flickr and Problems to be Solved

TweEvent: A dataset of Twitter messages about events in the Ukraine conflict

Identification of undocumented buildings in cadastral data using remote sensing: Construction period, morphology, and landscape

Implementierung einer KI-Infrastruktur zur automatisierten Erkennung von landesweiten Gebäudeveränderungen aus Luftbildern

An advanced dirichlet prior network for out-of-distribution detection in remote sensing

Anna Kruspe Information

University

Position

___

Citations(all)

1250

Citations(since 2020)

1164

Cited By

170

hIndex(all)

17

hIndex(since 2020)

14

i10Index(all)

24

i10Index(since 2020)

21

Email

University Profile Page

Technische Universität München

Google Scholar

View Google Scholar Profile

Anna Kruspe Skills & Research Interests

Natural Language Processing

Information Retrieval

Machine Learning

Signal Processing

Speech Recognition

Top articles of Anna Kruspe

Title

Journal

Author(s)

Publication Date

Towards detecting unanticipated bias in Large Language Models

arXiv preprint arXiv:2404.02650

Anna Kruspe

2024/4/3

More than words: Advancements and challenges in speech recognition for singing

arXiv preprint arXiv:2403.09298

Anna Kruspe

2024/3/14

A survey of uncertainty in deep neural networks

Artificial Intelligence Review

Jakob Gawlikowski

Cedrique Rovile Njieutcheu Tassi

Mohsin Ali

Jongseok Lee

Matthias Humt

...

2023/10

Towards Large-scale Building Attribute Mapping using Crowdsourced Images: Scene Text Recognition on Flickr and Problems to be Solved

arXiv preprint arXiv:2309.08042

Yao Sun

Anna Kruspe

Liqiu Meng

Yifan Tian

Eike J Hoffmann

...

2023/9/14

TweEvent: A dataset of Twitter messages about events in the Ukraine conflict

Samyo Rode-Hasinger

Matthias Haberle

Daniel Racek

Anna Kruspe

Xiao Xiang Zhu

2023

Identification of undocumented buildings in cadastral data using remote sensing: Construction period, morphology, and landscape

International Journal of Applied Earth Observation and Geoinformation

Qingyu Li

Hannes Taubenböck

Yilei Shi

Stefan Auer

Robert Roschlaub

...

2022/8/1

Implementierung einer KI-Infrastruktur zur automatisierten Erkennung von landesweiten Gebäudeveränderungen aus Luftbildern

ZfV-Zeitschrift für Geodäsie, Geoinformation und Landmanagement

Robert Roschlaub

Clemens Glock

Karin Möst

Frank Hümmer

Qingyu Li

...

2022/6/1

An advanced dirichlet prior network for out-of-distribution detection in remote sensing

IEEE Transactions on Geoscience and Remote Sensing

Jakob Gawlikowski

Sudipan Saha

Anna Kruspe

Xiao Xiang Zhu

2022/1/4

Geoinformation Harvesting From Social Media Data: A community remote sensing approach

IEEE Geoscience and Remote Sensing Magazine

Xiao Xiang Zhu

Yuanyuan Wang

Mrinalini Kochupillai

Martin Werner

Matthias Häberle

...

2022/12

Geo-Information Harvesting from Social Media Data

IEEE Geoscience and Remote Sensing Magazine

Xiao Xiang Zhu

Yuanyuan Wang

Mrinalini Kochupillai

Martin Werner

Matthias Häberle

...

2022/12

Innovative Tools for Urban Flood Management–A Brief Overview of 2D-Hydrodynamic Modeling and how to possibly Overcome its Limitations in Extreme Flood Management in Urban Areas …

Frederik De Vos

Markus Reisenbüchler

Anna Kruspe

2022

True or False? Detecting False Information on Social Media Using Graph Neural Networks

Samyo Rode-Hasinger

Anna Kruspe

Xiao Xiang Zhu

2022/10

Impact of Training Set Size on the Ability of Deep Neural Networks to Deal with Omission Noise

Frontiers in Remote Sensing

Jonas Gütter

Anna Kruspe

Xiao Xiang Zhu

Julia Niebling

2022

Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)

Wei Xu

Alan Ritter

Timothy Baldwin

Afshin Rahimi

2021/11

1Technical University of Munich, Data Science in Earth Observation, Munich, Germany 2German Aerospace Center, Institute of Data Science, Jena, Germany Correspondence: Anna …

Anna Kruspe

Jens Kersten

Friederike Klan

2021

Changes in Twitter geolocations: Insights and suggestions for future usage

arXiv preprint arXiv:2108.12251

Anna Kruspe

Matthias Häberle

Eike J Hoffmann

Samyo Rode-Hasinger

Karam Abdulahhad

...

2021/8/27

Detecting novelty in social media messages during emerging crisis events

International Conference on Information Systems for Crisis Response and Management (ISCRAM)

Anna Kruspe

2021

An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise

Jonas Gütter

Anna Kruspe

Xiao Xiang Zhu

2021/7/11

Detection of informative tweets in crisis events

Anna Kruspe

Jens Kersten

Friederike Klan

2021

Towards Out-of-Distribution Detection for Remote Sensing

Jakob Gawlikowski

Sudipan Saha

Anna Kruspe

Xiao Xiang Zhu

2021/7/11

See List of Professors in Anna Kruspe University(Technische Universität München)

Co-Authors

H-index: 76
Xiao Xiang Zhu

Xiao Xiang Zhu

Technische Universität München

H-index: 17
Matti Wiegmann

Matti Wiegmann

Bauhaus-Universität Weimar

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