Physical knowledge improves prediction of EM Fields

Authors: Dulny, Andrzej, Jabbarigargari, Farzad, Hotho, Andreas, Schreiber, Laura Maria, Terekhov, Maxim, Krause, Anna

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2503.11703

Swarming Detection in Smart Beehives Using Auto Encoders for Audio Data

Authors: Janetzky, Pascal, Schaller, Melanie, Krause, Anna, Hotho, Andreas

Source: 2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP) Systems, Signals and Image Processing (IWSSIP), 2023 30th International Conference on. :1-5 Jun, 2023

Relation: 2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP)

GrINd: Grid Interpolation Network for Scattered Observations

Authors: Dulny, Andrzej, Heinisch, Paul, Hotho, Andreas, Krause, Anna

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2403.19570

Global Vegetation Modeling with Pre-Trained Weather Transformers

Authors: Janetzky, Pascal, Gallusser, Florian, Hentschel, Simon, Hotho, Andreas, Krause, Anna

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2403.18438

TaylorPDENet: Learning PDEs from non-grid Data

Authors: Heinisch, Paul, Dulny, Andrzej, Krause, Anna, Hotho, Andreas

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2306.14511

DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data

Authors: Dulny, Andrzej, Hotho, Andreas, Krause, Anna

Source: Machine Learning and Knowledge Discovery in Databases: Research Track. ECML PKDD 2023. Lecture Notes in Computer Science(), vol 14169, p. 438-455. Springer, Cham

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2306.05805

A financial game with opportunities for fraud

Authors: Tritscher, Julian, Krause, Anna, Schlor, Daniel, Gwinner, Fabian, Von Mammen, Sebastian, Hotho, Andreas

Source: 2021 IEEE Conference on Games (CoG) Games (CoG), 2021 IEEE Conference on. :1-5 Aug, 2021

Relation: 2021 IEEE Conference on Games (CoG)

Semi-unsupervised Learning for Time Series Classification

Authors: Davidson, Padraig, Steininger, Michael, Huhn, André, Krause, Anna, Hotho, Andreas

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2207.03119

Open ERP System Data For Occupational Fraud Detection

Authors: Tritscher, Julian, Gwinner, Fabian, Schlör, Daniel, Krause, Anna, Hotho, Andreas

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2206.04460

Towards Explainable Occupational Fraud Detection
Machine learning and principles and practice of knowledge discovery in databases (European conference, ECML PKDD 2022)

Authors: Tritscher, Julian, Schlör, Daniel, Gwinner, Fabian, Krause, Anna, Hotho, Andreas

Source: Communications in computer and information science. 1753:79-96

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN608075950&indx=1&recIds=ETOCCN608075950

NeuralPDE: Modelling Dynamical Systems from Data

Authors: Dulny, Andrzej, Hotho, Andreas, Krause, Anna

Source: In KI 2022: Advances in Artificial Intelligence (pp. 75-89). Springer International Publishing (2022)

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2111.07671

Anomaly Detection in Beehives: An Algorithm Comparison

Authors: Davidson, Padraig, Steininger, Michael, Lautenschlager, Florian, Krause, Anna, Hotho, Andreas

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2110.03945

DNA-binding protein-A promotes kidney ischemia/reperfusion injury and participates in mitochondrial function

Authors: Reichardt, Charlotte, Brandt, Sabine, Bernhardt, Anja, Krause, Anna, Lindquist, Jonathan A., Weinert, Sönke, Geffers, Robert, Franz, Tobias, Kahlfuss, Sascha, Dudeck, Anne, Mathew, Akash, Rana, Rajiv, Isermann, Berend, Mertens, Peter R.

Source: In Kidney International August 2024 106(2):241-257

Deep Learning for Climate Model Output Statistics

Authors: Steininger, Michael, Abel, Daniel, Ziegler, Katrin, Krause, Anna, Paeth, Heiko, Hotho, Andreas

Subject Terms: Physics - Atmospheric and Oceanic Physics, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2012.10394

NeuralPDE: Modelling Dynamical Systems from Data
KI 2022: Advances in artificial intelligence (45th German conference on AI)

Authors: Dulny, Andrzej, Hotho, Andreas, Krause, Anna

Source: Lecture notes in computer science. 13404:75-89

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN608185690&indx=1&recIds=ETOCCN608185690

Anomaly Detection in Beehives: An Algorithm Comparison
Sensor networks (9th international conference)

Authors: Davidson, Padraig, Steininger, Michael, Lautenschlager, Florian, Krause, Anna, Hotho, Andreas

Source: Communications in computer and information science. 1674:1-20

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN607976307&indx=1&recIds=ETOCCN607976307

Anomaly Detection in Beehives using Deep Recurrent Autoencoders

Authors: Davidson, Padraig, Steininger, Michael, Lautenschlager, Florian, Kobs, Konstantin, Krause, Anna, Hotho, Andreas

Source: Proceedings of the 9th International Conference on Sensor Networks (SENSORNETS 2020), 2020, 142-149

Subject Terms: Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2003.04576

Mine waste rock reprocessing using sensor-based sorting (SBS): Novel approach toward circular economy in phosphate mining

Authors: Amar, Hicham ^a, Benzaazoua, Mostafa ^{a, ⁎}, Elghali, Abdellatif ^a, Taha, Yassine ^a, El Ghorfi, Mustapha ^{a, b}, Krause, Anna ^c, Hakkou, Rachid ^{a, d}

Source: In Minerals Engineering December 2023 204

Semi-unsupervised Learning: An In-depth Parameter Analysis
German conference on artificial intelligence

Authors: Davidson, Padraig, Buckermann, Florian, Steininger, Michael, Krause, Anna, Hotho, Andreas

Source: Lecture notes in computer science. 12873:51-66

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN607152802&indx=1&recIds=ETOCCN607152802

Semi-Supervised Learning for Grain Size Distribution Interpolation
Pattern recognition (25th workshop) Online

Authors: Kobs, Konstantin, Schäfer, Christian, Steininger, Michael, Krause, Anna, Baumhauer, Roland, Paeth, Heiko, Hotho, Andreas

Source: Lecture notes in computer science. 12666:34-44

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN606728243&indx=1&recIds=ETOCCN606728243