Mathieu Sinn

According to our database1, Mathieu Sinn
  • authored at least 30 papers between 2010 and 2018.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2018
Learning Correlation Space for Time Series.
CoRR, 2018

Learning Features For Relational Data.
CoRR, 2018

Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Multitask Additive Models With Shared Transfer Functions Based on Dictionary Learning.
IEEE Trans. Signal Processing, 2017

One button machine for automating feature engineering in relational databases.
CoRR, 2017

Cross-correlations of zero crossings in jointly Gaussian and stationary processes with zero means.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Structured Dimensionality Reduction for Additive Model Regression.
IEEE Trans. Knowl. Data Eng., 2016

Enabling coupled models to predict the business impact of weather on electric utilities.
IBM Journal of Research and Development, 2016

Data Management System for Energy Analytics and its Application to Forecasting.
Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, 2016

2015
Multi-task additive models with shared transfer functions based on dictionary learning.
CoRR, 2015

Forecasting Uncertainty in Electricity Demand.
Proceedings of the Computational Sustainability, 2015

2014
Statistical Anomaly Detection in Mean and Variation of Energy Consumption.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Energy demand forecasting: industry practices and challenges.
Proceedings of the Fifth International Conference on Future Energy Systems, 2014

2013
Analytical results on the Beauchemin model of lymphocyte migration.
BMC Bioinformatics, 2013

Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Integrated state estimation and load modelling for distribution grids with ampere measurements.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Central Limit Theorems for Conditional Markov Chains.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions
CoRR, 2012

Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker
CoRR, 2012

Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Predicting arrival times of buses using real-time GPS measurements.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2011
Asymptotic Theory for Linear-Chain Conditional Random Fields.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Estimation of ordinal pattern probabilities in Gaussian processes with stationary increments.
Computational Statistics & Data Analysis, 2011

Error Bounds for Online Predictions of Linear-Chain Conditional Random Fields: Application to Activity Recognition for Users of Rolling Walkers.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Smart walkers!: enhancing the mobility of the elderly.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Ambulatory Assessment of Lifestyle Factors for Alzheimer's Disease and Related Dementias.
Proceedings of the Computational Physiology, 2011

2010
Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker.
Proceedings of the UAI 2010, 2010


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