Manuel Blum

Publication Activity (10 Years)

Years Active: 2012-2018
Publications (10 Years): 4

Top Topics

Demand Forecasting

Hyperparameters

Web Information

Top Venues

AAAI Workshop: Trading Agent Design and Analysis

Publications

Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. CoRR (2018)
Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. IJCNN (2018)
Wolfgang Groß, Sascha Lange, Joschka Bödecker, Manuel Blum
Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks. ESANN (2017)
Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Manuel Blum
ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources. AAAI (2016)
Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Tobias Springenberg, Manuel Blum, Frank Hutter
Efficient and Robust Automated Machine Learning. NIPS (2015)
Manuel Blum, Martin A. Riedmiller
Electricity Demand Forecasting using Gaussian Processes. AAAI Workshop: Trading Agent Design and Analysis (2013)
Manuel Blum, Martin A. Riedmiller
Optimization of Gaussian process hyperparameters using Rprop. ESANN (2013)
Mehdi Samadi, Manuela M. Veloso, Manuel Blum
OpenEval: Web Information Query Evaluation. AAAI (2013)
Manuel Blum, Jost Tobias Springenberg, Jan Wülfing, Martin A. Riedmiller
A learned feature descriptor for object recognition in RGB-D data. ICRA (2012)