Mario Michael Krell

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Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19 pdf

Sourabh Kulkarni, Mario Michael Krell, Seth Nabarro, 2020, ACM J. Emerg. Technol. Comput. Syst..

Classifier transfer with data selection strategies for online support vector machine classification with class imbalance

Mario Michael Krell, Su Kyoung Kim, Anett Seeland, 2017, Journal of neural engineering.

Comparison of Data Selection Strategies for Online Support Vector Machine Classification

Mario Michael Krell, Su Kyoung Kim, Nils Wilshusen, 2015, NEUROTECHNIX.

Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver pdf

Yifan Li, Jaeyoung Choi, Mario Michael Krell, 2017, ArXiv.

New one-class classifiers based on the origin separation approach

Mario Michael Krell, Hendrik Wöhrle, M. M. Krell, 2015, Pattern Recognit. Lett..

Data Augmentation for Brain-Computer Interfaces: Analysis on Event-Related Potentials Data pdf

Mario Michael Krell, Su Kyoung Kim, Anett Seeland, 2018, ArXiv.

Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region

Mario Michael Krell, Frank Kirchner, Jan Hendrik Metzen, 2015, AAAI Workshop: AI for Transportation.

Learning of Multi-Context Models for Autonomous Underwater Vehicles

Mario Michael Krell, Bilal Wehbe, Frank Kirchner, 2018, 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV).

pySPACE—a signal processing and classification environment in Python

Mario Michael Krell, Hendrik Wöhrle, Frank Kirchner, 2013, Front. Neuroinform..

A First Step Towards Distribution Invariant Regression Metrics pdf

Mario Michael Krell, Bilal Wehbe, M. M. Krell, 2020, ArXiv.

A Dataflow-based Mobile Brain Reading System on Chip with Supervised Online Calibration - For Usage without Acquisition of Training Data

Mario Michael Krell, Hendrik Wöhrle, Frank Kirchner, 2016, NEUROTECHNIX.

Accounting for Task-Difficulty in Active Multi-Task Robot Control Learning

Mario Michael Krell, Alexander Fabisch, Frank Kirchner, 2015, KI - Künstliche Intelligenz.

A Capacity Scaling Law for Artificial Neural Networks pdf

Mario Michael Krell, Gerald Friedland, G. Friedland, 2017, ArXiv.

Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing

Mario Michael Krell, Hendrik Wöhrle, Elsa Andrea Kirchner, 2013, NEUROTECHNIX.

Rotational data augmentation for electroencephalographic data

Mario Michael Krell, Su Kyoung Kim, S. K. Kim, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

raxDAWN: Circumventing Overfitting of the Adaptive xDAWN

Mario Michael Krell, Hendrik Wöhrle, Anett Seeland, 2015, NEUROTECHNIX.

Learning magnetic field distortion compensation for robotic systems

Mario Michael Krell, Frank Kirchner, Leif Christensen, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Backtransformation: a new representation of data processing chains with a scalar decision function

Mario Michael Krell, Sirko Straube, M. M. Krell, 2017, Adv. Data Anal. Classif..

Online model identification for underwater vehicles through incremental support vector regression

Mario Michael Krell, Bilal Wehbe, Alexander Fabisch, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Generalizing, decoding, and optimizing support vector machine classification pdf

Mario Michael Krell, M. M. Krell, 2018, ArXiv.

Balanced Relative Margin Machine - The missing piece between FDA and SVM classification

Mario Michael Krell, Sirko Straube, David Feess, 2014, Pattern Recognit. Lett..

How to evaluate an agent's behavior to infrequent events?—Reliable performance estimation insensitive to class distribution

Mario Michael Krell, Sirko Straube, 2014, Front. Comput. Neurosci..

Learning coupled dynamic models of underwater vehicles using Support Vector Regression

Mario Michael Krell, Bilal Wehbe, 2017, OCEANS 2017 - Aberdeen.

A Practical Approach to Sizing Neural Networks pdf

Mario Michael Krell, Gerald Friedland, Alfredo Metere, 2018, ArXiv.

OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation pdf

Mario Michael Krell, Gerald Friedland, Daniel Ma, 2021, ArXiv.

Packing: Towards 2x NLP BERT Acceleration pdf

Mario Michael Krell, Matej Kosec, Sheng Fu, 2021, ArXiv.

NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU pdf

Mario Michael Krell, Errol Colak, Kristen W. Yeom, 2021, ArXiv.