Schlagworte:
- Active Learning
- advanced machine learning methodologies
- aerial images
- Agricultural health
- agriculture
- battery powered vehicles
- Convolutional neural networks
- d3
- Data intelligence
- data mining
- data visualization
- dataset
- DC-DC power convertors
- decision tree ensemble
- decision trees
- Deep Neural Network
- distributed power generation
- electric vehicle charging
- feature extraction
- high precision agriculture
- Hyper-spectral images
- image analysis
- Image color analysis
- Image recognition
- image recognition algorithms
- image segmentation
- improved machine-learning algorithms
- KNIME
- learning (artificial intelligence)
- Line Detection
- Line Recognition
- Linked Data
- machine learning
- marketing
- Methodology
- Neural Network
- Neural networks
- object detection
- Object recognition
- power grids
- Precision agriculture
- Prediction
- Random Forests
- Real-Tme Retraining
- Roads
- Smart Agriculture
- Smart Cities
- social media
- Traffic flow prediction
- Transfer Learning
- trees (mathematics)
- vehicle-to-grid
- Vine Line Detection
- Vineyard Lines
- Vineyards
Publikationen von Jerome Treboux sortiert nach Titel
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| , , , , und , A non-intrusive model to predict the exible energy in a residential building, in: 2015 {IEEE} Wireless Communications and Networking Conference Workshops, {WCNC} Workshops 2015, New Orleans, LA, USA, March 9-12, 2015, Seiten 69--74, 2015 |
[DOI] |
| , , und , A predictive data-driven model for traffic-jams forecasting in smart santader city-scale testbed, in: 2015 {IEEE} Wireless Communications and Networking Conference Workshops, {WCNC} Workshops 2015, New Orleans, LA, USA, March 9-12, 2015, Seiten 64--68, 2015 |
[DOI] |
| , und , An Evaluation of the Generalization Capabilities of Machine Learning Models for Vine Line Detection, 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Gold Coast, Australia, Seiten 1-6, IEEE, 2022 |
[DOI] |
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| , , , , , , , , , und , CHARGING POTENTIAL OF V4G THROUGH V2G STANDARD PROTOCOL FOR CCS (2022), in: CIRED Porto Workshop 2022: E-mobility and power distribution systems(750 – 754) |
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| , und , Decision Tree Ensemble vs. N.N. Deep Learning: Efficiency Comparison for a Small Image Dataset, Jakarta, Indonesia, Inproceedings of the 2018 International Workshop on Big Data and Information Security, 2018 |
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| , , , , , und , GEOLOCALIZED PHOTOVOLTAIC ENERGY PREDICTION METHODOLOGY USING MACHINE LEARNING (2023), in: CIRED 2023 |
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| und , High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms, Bern, Switzerland, Seiten 103-108, IEEE 2019 6th Swiss Conference on Data Science (SDS), 2019 |
[DOI] [URL] |
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| , und , Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers, ESANN, Bruges, Belgium (Online), i6doc.com publ., 2021 |
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| , und , Improved Line Detection in Images using Neural Networks and DTE Subclassifiers, in: 2021 9th European Workshop on Visual Information Processing (EUVIP), IEEE, Paris, France, Seiten 1-6, IEEE, 2021 |
[DOI] [URL] |
| und , Improved Machine Learning Methodology for High Precision Agriculture, Bilbao, Spain, Inproceedings of the 2018 Global Internet of Things Summit (GIoTS), 2018 |
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| , und , Improving the tourism marketing strategies by predicting the behavior of travelers using social media networks, ZHAW, Winterthur, Switzerland, 2017 |
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| , , , und , Mining and Visualizing Social Data to Inform Marketing Decisions, in: Proceedings of the 2016 IEEE 30th International Conference on Advanced Information Networking and Applications, IEEE, Crans-Montana, Switzerland, Seiten 66-73, 2016 |
[DOI] |
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| , , , und , Rice grain recognition for quality analysis using KNIME, 2019 |
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| , , , , , und , Social Media Data analysis and Semantics for Tourism Understanding - Poster, in: {ASE@360}The Eighth ASE International Conference on Social Computing, Stanford, CA, USA, August 18-20, 2015, 2015 |
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| , , , , , und , SoDA - Social Media Data Analysis - Poster, in: SwissText 2016, 1st Swiss Text Analystics Conference, Winterthur, Switzerland, June 8th, 2016, ZHAW, Winterthur, Switzerland, 2016 |
[URL] |
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| , und , Towards Retraining of Machine Learning Algorithms: An Efficiency Analysis Applied to Smart Agriculture, in: 2020 Global Internet of Things Summit (GIoTS), Dublin, Ireland, Seiten 1-6, IEEE, 2020 |
[DOI] |
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