Fabian Gieseke
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
17
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SENSYS | Short Paper: Counting Parked Bicycles on the Edge - A TinyML Smart City Application. | Jan Stenkamp, Mathis Hunke, Cem Karatas, Steffen Kirchhoff, Christoph Knaden, Paul Naebers, Lige Zhao, Benjamin Karic, Fabian Gieseke, Nina Herrmann |
| 2025 | ICML | DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications. | Ibrahim Fayad, Max Zimmer, Martin Schwartz, Fabian Gieseke, Philippe Ciais, Gabriel Belouze, Sarah Brood, Aurlien de Truchis, Alexandre d'Aspremont |
| 2025 | ICML | Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation. | Jan Pauls, Max Zimmer, Berkant Turan, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Fabian Gieseke |
| 2024 | ICML | Estimating Canopy Height at Scale. | Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke |
| 2024 | SIGIR | Untitled record | Christian Llf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke |
| 2023 | ESANN | End-to-End Neural Network Training for Hyperbox-Based Classification. | Denis Martins, Christian Llf, Fabian Gieseke |
| 2022 | SDM | Input Selection for Bandwidth-Limited Neural Network Inference. | Stefan Oehmcke, Fabian Gieseke |
| 2021 | WACV | Attentional Feature Fusion. | Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard |
| 2020 | ICDE | Massively-Parallel Change Detection for Satellite Time Series Data with Missing Values. | Fabian Gieseke, Sabina Rosca, Troels Henriksen, Jan Verbesselt, Cosmin E. Oancea |
| 2020 | ICPR | Attention as Activation. | Yimian Dai, Stefan Oehmcke, Fabian Gieseke, Yiquan Wu, Kobus Barnard |
| 2018 | KDD | Training Big Random Forests with Little Resources. | Fabian Gieseke, Christian Igel |
| 2018 | SSDBM | Massively-parallel break detection for satellite data. | Malte von Mehren, Fabian Gieseke, Jan Verbesselt, Sabina Rosca, Stphanie Horion, Achim Zeileis |
| 2017 | WACV | Artistic Movement Recognition by Boosted Fusion of Color Structure and Topographic Description. | Corneliu Florea, Cosmin Toca, Fabian Gieseke |
| 2016 | ESANN | Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs. | Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis |
| 2015 | IDA | Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering. | Fabian Gieseke, Tapio Pahikkala, Tom Heskes |
| 2014 | ESANN | Speedy greedy feature selection: Better redshift estimation via massive parallelism. | Fabian Gieseke, Kai Lars Polsterer, Cosmin Eugen Oancea, Christian Igel |
| 2014 | ICML | Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs. | Fabian Gieseke, Justin Heinermann, Cosmin E. Oancea, Christian Igel |
| 2013 | ACML | Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification. | Fabian Gieseke, Tapio Pahikkala, Christian Igel |
| 2013 | KI | On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy. | Justin Heinermann, Oliver Kramer, Kai Lars Polsterer, Fabian Gieseke |
| 2012 | ICDM | Unsupervised Multi-class Regularized Least-Squares Classification. | Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer |
| 2012 | ICPRAM | Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. | Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer |
| 2011 | ICNC | Analysis of wind energy time series with kernel methods and neural networks. | Oliver Kramer, Fabian Gieseke |
| 2011 | KI | Speedy Local Search for Semi-Supervised Regularized Least-Squares. | Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala |
| 2011 | KI | Variance Scaling for EDAs Revisited. | Oliver Kramer, Fabian Gieseke |
| 2010 | ICDM | Resilient K-d Trees: K-Means in Space Revisited. | Fabian Gieseke, Gabriel Moruz, Jan Vahrenhold |
| 2010 | ICMLA | Detecting Quasars in Large-Scale Astronomical Surveys. | Fabian Gieseke, Kai Lars Polsterer, Andreas Thom, Peter Zinn, Dominik Bomanns, Ralf-Jurgen Dettmar, Oliver Kramer, Jan Vahrenhold |
| 2009 | ICML | Fast evolutionary maximum margin clustering. | Fabian Gieseke, Tapio Pahikkala, Oliver Kramer |