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Patrick Mäder

Informatiker

Name	Patrick Mäder
Place	Ilmenau (2005-2010, 2012-) (Wirkungsort) Linz (Wirkungsort) Deutschland
Gender	männlich
Academic degree	Prof. Dr.-Ing.
Profession	Informatiker (characteristic profession)
Variant	Patrick Maeder
Related	Technische Universität Ilmenau. Fachgebiet Data-intensive Systems and Visualization (2021-) Technische Universität Ilmenau. Fachgebiet Softwaretechnik für Sicherheitskritische Systeme (2016-2021) Johannes Kepler Universität Linz (2010-2012) Deutsches Zentrum für Integrative Biodiversitätsforschung Friedrich-Schiller-Universität Jena. Fakultät für Biowissenschaften
Further information	Diss. Technische Universität Ilmenau, Fachgebiet Softwaresysteme/Prozessinformatik
Record type	Person
GND-Identifier	1196738718
Record ID	1196738718
Involved in show all 7 Dimensions of software change patterns Graph-based code pattern extraction Macrophenological dynamics from citizen science plant occurrence data Macrophenological dynamics from citizen science plant occurrence data Mechanisms to increase the safety of safety-critical Deep Neural Network-based environmental perception for autonomous driving Reduced order modeling of thermal convection flows: a reservoir computing approach Assessing the utility of text-to-SQL approaches for satisfying software developer information needs Data-driven estimation of scalar quantities from planar velocity measurements by deep learning applied to temperature in thermal convection Discovering unknown response patterns in progress test data to improve the estimation of student performance Particle detection and size recognition based on defocused particle images: a comparison of a deterministic algorithm and a deep neural network Assessing the utility of text-to-SQL approaches for satisfying software developer information needs Data-driven estimation of scalar quantities from planar velocity measurements by deep learning applied to temperature in thermal convection Generalizability of code clone detection on CodeBERT HAInich: a multidisciplinary vision data-set for a better understanding of the forest ecosystem Model-based data generation for the evaluation of functional reliability and resilience of distributed machine learning systems against abnormal cases Nutzung verschiedener Methoden des maschinellen Lernens zur Regelung von Fahrzeugsystemen Particle detection and size recognition based on defocused particle images: a comparison of a deterministic algorithm and a deep neural network The potential of multispectral imaging flow cytometry for environmental monitoring Propagating frugal user feedback through closeness of code dependencies to improve IR-based traceability recovery Automatic detection and prediction of discontinuities in laser beam butt welding utilizing deep learning Back to the Roots - Bewertung und Vergleich der Nachhaltigkeit von Nahrungsmitteln im Lebensmitteleinzelhandel : Abschlussbericht für die Deutsche Bundesstiftung Umwelt Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection Estimating food ingredient compositions based on mandatory product labeling Flipped Classroom: Effective Teaching for Time Series Forecasting Image-based automated recognition of 31 Poaceae species: the most relevant perspectives Methoden zur Reduktion der Messlatenz von GOBO-Projektor-basierten 3D-Sensoren Multi-task near-field perception for autonomous driving using surround-view fisheye cameras Nutritional assessment of ready-to-eat salads in German supermarkets: comparison of the nutriRECIPE-Index and the Nutri-Score Object classification on video data of meteors and meteor-like phenomena: algorithm and data Semantic knowledge integration for learning from semantically imprecise data SEOSS-Queries - a software engineering dataset for text-to-SQL and question answering tasks Utilizing traceable software artifacts to improve bug localization Deep security analysis of program code : A systematic literature review SmartPIV: flow velocity estimates by smartphones for education and field studies Crowd-sourced plant occurrence data provide a reliable description of macroecological gradients Deep security analysis of program code : a systematic literature review Flora Incognita app - interactive plant species identification Multi-view classification with convolutional neural networks SmartPIV: flow velocity estimates by smartphones for education and field studies Synaptic scaling - an artificial neural network regularization inspired by nature Flora Capture: a citizen science application for collecting structured plant observations A definition-by-example approach and visual language for activity patterns in engineering disciplines Flora Capture: a citizen science application for collecting structured plant observations On the use of a cascaded convolutional neural network for three-dimensional flow measurements using astigmatic PTV Pollen analysis using multispectral imaging flow cytometry and deep learning Flowers, leaves or both? How to obtain suitable images for automated plant identification Structured information in bug report descriptions—influence on IR-based bug localization and developers Image-based classification of plant genus and family for trained and untrained plant species Flowers, leaves or both? How to obtain suitable images for automated plant identification Image-based classification of plant genus and family for trained and untrained plant species The SEOSS 33 dataset - requirements, bug reports, code history, and trace links for entire projects Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton Recommending plant taxa for supporting on-site species identification Efficiently Annotating Object Images with Absolute Size Information Using Mobile Devices Automated plant species identification - trends and future directions Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton Multikriterielle Handoverentscheidung für moderne mobile heterogene Kommunikationsnetze Recommending plant taxa for supporting on-site species identification Software development and correction estimation in the automotive domain Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain

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Katalog der Deutschen Nationalbibliothek

Patrick Mäder

7 Dimensions of software change patterns

Graph-based code pattern extraction

Macrophenological dynamics from citizen science plant occurrence data

Macrophenological dynamics from citizen science plant occurrence data

Mechanisms to increase the safety of safety-critical Deep Neural Network-based environmental perception for autonomous driving

Reduced order modeling of thermal convection flows: a reservoir computing approach

Assessing the utility of text-to-SQL approaches for satisfying software developer information needs

Data-driven estimation of scalar quantities from planar velocity measurements by deep learning applied to temperature in thermal convection

Discovering unknown response patterns in progress test data to improve the estimation of student performance

Particle detection and size recognition based on defocused particle images: a comparison of a deterministic algorithm and a deep neural network

Assessing the utility of text-to-SQL approaches for satisfying software developer information needs

Data-driven estimation of scalar quantities from planar velocity measurements by deep learning applied to temperature in thermal convection

Generalizability of code clone detection on CodeBERT

HAInich: a multidisciplinary vision data-set for a better understanding of the forest ecosystem

Model-based data generation for the evaluation of functional reliability and resilience of distributed machine learning systems against abnormal cases

Nutzung verschiedener Methoden des maschinellen Lernens zur Regelung von Fahrzeugsystemen

Particle detection and size recognition based on defocused particle images: a comparison of a deterministic algorithm and a deep neural network

The potential of multispectral imaging flow cytometry for environmental monitoring

Propagating frugal user feedback through closeness of code dependencies to improve IR-based traceability recovery

Automatic detection and prediction of discontinuities in laser beam butt welding utilizing deep learning

Back to the Roots - Bewertung und Vergleich der Nachhaltigkeit von Nahrungsmitteln im Lebensmitteleinzelhandel : Abschlussbericht für die Deutsche Bundesstiftung Umwelt

Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection

Estimating food ingredient compositions based on mandatory product labeling

Flipped Classroom: Effective Teaching for Time Series Forecasting

Image-based automated recognition of 31 Poaceae species: the most relevant perspectives

Methoden zur Reduktion der Messlatenz von GOBO-Projektor-basierten 3D-Sensoren

Multi-task near-field perception for autonomous driving using surround-view fisheye cameras

Nutritional assessment of ready-to-eat salads in German supermarkets: comparison of the nutriRECIPE-Index and the Nutri-Score

Object classification on video data of meteors and meteor-like phenomena: algorithm and data

Semantic knowledge integration for learning from semantically imprecise data

SEOSS-Queries - a software engineering dataset for text-to-SQL and question answering tasks

Utilizing traceable software artifacts to improve bug localization

Deep security analysis of program code : A systematic literature review

SmartPIV: flow velocity estimates by smartphones for education and field studies

Crowd-sourced plant occurrence data provide a reliable description of macroecological gradients

Deep security analysis of program code : a systematic literature review

Flora Incognita app - interactive plant species identification

Multi-view classification with convolutional neural networks

SmartPIV: flow velocity estimates by smartphones for education and field studies

Synaptic scaling - an artificial neural network regularization inspired by nature

Flora Capture: a citizen science application for collecting structured plant observations

A definition-by-example approach and visual language for activity patterns in engineering disciplines

Flora Capture: a citizen science application for collecting structured plant observations

On the use of a cascaded convolutional neural network for three-dimensional flow measurements using astigmatic PTV

Pollen analysis using multispectral imaging flow cytometry and deep learning

Flowers, leaves or both? How to obtain suitable images for automated plant identification

Structured information in bug report descriptions—influence on IR-based bug localization and developers

Image-based classification of plant genus and family for trained and untrained plant species

Flowers, leaves or both? How to obtain suitable images for automated plant identification

Image-based classification of plant genus and family for trained and untrained plant species

The SEOSS 33 dataset - requirements, bug reports, code history, and trace links for entire projects

Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton

Recommending plant taxa for supporting on-site species identification

Efficiently Annotating Object Images with Absolute Size Information Using Mobile Devices

Automated plant species identification - trends and future directions

Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton

Multikriterielle Handoverentscheidung für moderne mobile heterogene Kommunikationsnetze

Recommending plant taxa for supporting on-site species identification

Software development and correction estimation in the automotive domain

Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain