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Florian Huber
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2020 – today
- 2024
- [j14]Niek F. de Jonge, Helge Hecht, Michael Strobel, Mingxun Wang, Justin J. J. van der Hooft, Florian Huber:
Reproducible MS/MS library cleaning pipeline in matchms. J. Cheminformatics 16(1): 88 (2024) - [j13]Florian Huber, Alvin Inderka, Volker Steinhage:
Leveraging Remote Sensing Data for Yield Prediction with Deep Transfer Learning. Sensors 24(3): 770 (2024) - [j12]Florian Huber, Stefan Schulz, Volker Steinhage:
Deep Interpolation of Remote Sensing Land Surface Temperature Data with Partial Convolutions. Sensors 24(5): 1604 (2024) - [i10]Alvin Inderka, Florian Huber, Volker Steinhage:
On Convolutional Vision Transformers for Yield Prediction. CoRR abs/2402.05557 (2024) - 2023
- [j11]Helga Haberfehlner, Shankara S. van de Ven, Sven van der Burg, Florian Huber, Sonja Georgievska, Ignazio Aleo, Jaap Harlaar, Laura A. Bonouvrié, Marjolein M. van der Krogt, Annemieke I. Buizer:
Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine learning. Frontiers Robotics AI 10 (2023) - [c20]Tobias Eigler, Florian Huber, Georg Hagel:
Tool-Based Software Engineering Education for Software Design Patterns and Software Architecture Patterns - a Systematic Literature Review. ECSEE 2023: 153-161 - [c19]Florian Huber, Tobias Eigler, Georg Hagel, Christian Wolff:
From Difficulties to Functional Requirements - Deriving Requirements from Literature about Tool-supported Teaching of UML Diagrams in Software Engineering Education. ECSEE 2023: 184-188 - [c18]Florian Huber, Tobias Eigler, Georg Hagel, Christian Wolff:
Qualitative Requirements Elicitation of Student Requirements for Tool-supported Teaching of UML Diagrams. ECSEE 2023: 189-193 - [i9]Florian Huber, Hannes Engler, Anna Kicherer, Katja Herzog, Reinhard Töpfer, Volker Steinhage:
Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction. CoRR abs/2304.07111 (2023) - 2022
- [j10]Florian Huber, Artem Yushchenko, Benedikt Stratmann, Volker Steinhage:
Extreme Gradient Boosting for yield estimation compared with Deep Learning approaches. Comput. Electron. Agric. 202: 107346 (2022) - [j9]Arnaud Gaudry, Florian Huber, Louis-Félix Nothias, Sylvian Cretton, Marcel Kaiser, Jean-Luc Wolfender, Pierre-Marie Allard:
MEMO: Mass Spectrometry-Based Sample Vectorization to Explore Chemodiverse Datasets. Frontiers Bioinform. 2 (2022) - [j8]Christina Humer, Henry Heberle, Floriane Montanari, Thomas Wolf, Florian Huber, Ryan Henderson, Julian Heinrich, Marc Streit:
ChemInformatics Model Explorer (CIME): exploratory analysis of chemical model explanations. J. Cheminformatics 14(1): 21 (2022) - [j7]Maximilian Boeck, Martin Feldkircher, Florian Huber:
BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R. J. Stat. Softw. 104(9) (2022) - [c17]Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller:
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. DaWaK 2022: 97-111 - [c16]Florian Huber, Georg Hagel:
Work-In-Progress: Converting textual software engineering class diagram exercises to UML models. EDUCON 2022: 1-3 - [c15]Florian Huber, Georg Hagel:
Semi-automatic generation of textual exercises for software engineering education. EDUCON 2022: 51-56 - [c14]Nicola Kolb, Claudius Jordan, Florian Huber, Alexander Pretschner:
Automatic Evaluation of Automatically Derived Semantic Scenario Instance Descriptions. ITSC 2022: 1565-1571 - [c13]Florian Huber, Georg Hagel:
Tool-supported teaching of UML diagrams in software engineering education - A systematic literature review. MIPRO 2022: 1404-1409 - [c12]Florian Huber, Erica Dafne van Kuppevelt, Peter Steinbach, Colin Sauze, Yang Liu, Berend Weel:
Will the sun shine? - An accessible dataset for teaching machine learning and deep learning. Teaching ML 2022: 27-31 - [c11]Diego Rodriguez, Florian Huber, Sven Behnke:
Category-level Part-based 3D Object Non-rigid Registration. VISIGRAPP (4: VISAPP) 2022: 795-802 - [i8]Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller:
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. CoRR abs/2205.09060 (2022) - [i7]Florian Huber, Artem Yushchenko, Benedikt Stratmann, Volker Steinhage:
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches. CoRR abs/2208.12633 (2022) - 2021
- [j6]Florian Huber, Sven van der Burg, Justin J. J. van der Hooft, Lars Ridder:
MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra. J. Cheminformatics 13(1): 84 (2021) - [j5]Florian Huber, Lars Ridder, Stefan Verhoeven, Jurriaan H. Spaaks, Faruk Diblen, Simon Rogers, Justin J. J. van der Hooft:
Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships. PLoS Comput. Biol. 17(2) (2021) - [c10]Florian Huber, Georg Hagel:
The application of continuous practices in higher computer science education - A systematic literature review. MIPRO 2021: 1618-1623 - 2020
- [j4]Florian Huber, Stefan Verhoeven, Christiaan Meijer, Hanno Spreeuw, Efraín Castilla, Cunliang Geng, Justin J. J. van der Hooft, Simon Rogers, Adam Belloum, Faruk Diblen, Jurriaan H. Spaaks:
matchms - processing and similarity evaluation of mass spectrometry data. J. Open Source Softw. 5(52): 2411 (2020) - [j3]Nilanjon Naskar, Martin F. Schneidereit, Florian Huber, Sabyasachi Chakrabortty, Lothar Veith, Markus Mezger, Lutz Kirste, Theo Fuchs, Thomas Diemant, Tanja Weil, R. Jürgen Behm, Klaus Thonke, Ferdinand Scholz:
Impact of Surface Chemistry and Doping Concentrations on Biofunctionalization of GaN/Ga‒In‒N Quantum Wells. Sensors 20(15): 4179 (2020) - [j2]Dafne E. van Kuppevelt, Christiaan Meijer, Florian Huber, A. van der Ploeg, S. Georgievska, Vincent T. van Hees:
Mcfly: Automated deep learning on time series. SoftwareX 12: 100548 (2020) - [c9]Matthias Gensheimer, Florian Huber, Georg Hagel:
Gamification in software engineering education through Visual Novels. ECSEE 2020: 1-5 - [c8]Florian Huber, Georg Hagel:
Work-in-Progress: Towards detection and syntactical analysis in UML class diagrams for software engineering education. EDUCON 2020: 3-7 - [c7]Martina Müller-Amthor, Georg Hagel, Matthias Gensheimer, Florian Huber:
Scrum Higher Education - The Scrum Master Supports as Solution-focused Coach. EDUCON 2020: 948-952 - [c6]Dimos Ntioudis, Eleni Kamateri, Georgios Meditskos, Anastasios Karakostas, Florian Huber, Romeo Bratska, Stefanos Vrochidis, Babak Akhgar, Ioannis Kompatsiaris:
Immerse: A Personalized System Addressing the Challenges of Migrant Integration. ICME Workshops 2020: 1-6 - [c5]Diego Rodriguez, Florian Huber, Sven Behnke:
Category-Level 3D Non-Rigid Registration from Single-View RGB Images. IROS 2020: 10617-10624 - [c4]Florian Huber, Markus Mock:
Toci: Computational Intelligence in an Energy Management System. SSCI 2020: 1287-1296 - [i6]Diego Rodriguez, Florian Huber, Sven Behnke:
Category-Level 3D Non-Rigid Registration from Single-View RGB Images. CoRR abs/2008.07203 (2020)
2010 – 2019
- 2019
- [j1]Achilleas P. Achilleos, Christos Mettouris, Alexandros Yeratziotis, George A. Papadopoulos, Sabri Pllana, Florian Huber, Bernhard Jäger, Peter Leitner, Zsófia Ocsovszky, András Dinnyés:
SciChallenge: A Social Media Aware Platform for Contest-Based STEM Education and Motivation of Young Students. IEEE Trans. Learn. Technol. 12(1): 98-111 (2019) - [c3]Florian Huber, Nikolai Körber, Markus Mock:
Selena: a Serverless Energy Management System. WOSC@Middleware 2019: 7-12 - [i5]Andrew Adamatzky, Florian Huber, Joerg Schnauss:
Computing on actin bundles network. CoRR abs/1903.10186 (2019) - [i4]Andrew Adamatzky, Florian Huber, Joerg Schnauss:
Actin droplet machine. CoRR abs/1905.07860 (2019) - [i3]Stefano Siccardi, Andrew Adamatzky, Jack A. Tuszynski, Florian Huber, Jörg Schnauß:
Actin Networks Voltage Circuits. CoRR abs/1912.00088 (2019) - 2018
- [c2]Florian Huber:
Conceptualizing the digital TAKEDOWN platforms for supporting first-line-practitioners and law enforcement agencies. ARES 2018: 60:1-60:6 - 2017
- [i2]Florian Huber, Bernhard Jäger, Sabri Pllana, Zdenek Hrdlicka, Christos Mettouris, George A. Papadopoulos, Tamara Matevc, Zsófia Ocsovszky, Edina Hajdu, Chris Gary, Phil Smith:
Pushing STEM-education through a social-media-based contest format - experiences and lessons-learned from the H2020-project SciChallenge. CoRR abs/1702.02874 (2017) - 2016
- [i1]Sabri Pllana, Florian Huber, Zdenek Hrdlicka, Christos Mettouris, Asja Veber, Zsófia Ocsovszky, Chris Gary, Eleni Boulomyti, Phil Smith:
SciChallenge: Using Student-Generated Content and Contests to Enhance the Interest for Science Education and Careers. CoRR abs/1603.09598 (2016) - 2014
- [c1]Chong Zhang, Florian Huber, Michael Knop, Fred A. Hamprecht:
Yeast cell detection and segmentation in bright field microscopy. ISBI 2014: 1267-1270
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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