Keywords:
- data intelligence analysis
- Energy E ciency
- energy information management
- Smart Buildings
- Active Learning
- advanced machine learning methodologies
- Advanced Metering Infrastructure
- aerial images
- Agricultural health
- agriculture
- Analyse intelligente des données
- battery powered vehicles
- Benchmarking
- big data
- Biometrics
- cellular automata
- Classification
- Cloud Computing.
- clustering
- d3
- Data aggregation and fusion
- data fusion
- Data intelligence
- Data intelligence analysis
- data mining
- data visualization
- datamining
- dataset
- DC-DC power convertors
- decision tree ensemble
- decision trees
- Deep Neural Network
- distributed power generation
- electric vehicle charging
- electricity
- Energy information management
- Energy Markets
- Energy prediction
- feature extraction
- feature selection
- FIWARE platform
- forecasting
- geo-prospective
- gestion énergétique des bâtiments
- glaucoma
- Glaucoma diagnosis biomedical signal processing machine learning
- glaucoma prognostication platform
- Heating consumption prediction
- high precision agriculture
- HMM
- Hot water consumption prediction
- Human Behaviours
- Human Dynamics
- Hyper-spectral images
- image analysis
- Image color analysis
- Image recognition
- image recognition algorithms
- image segmentation
- improved machine-learning algorithms
- Information and communication technologies.
- Internet des objets
- Internet of Things
- KDD
- KNIME
- knowledge discovery from data
- landscape
- learning (artificial intelligence)
- Line Detection
- Line Recognition
- Linked Data
- machine learning
- marketing
- Methodology
- Microgrid
- microgrids
- Neural Network
- object detection
- Object recognition
- optimization
- Optimized Machine learning
- participatory approach
- Pilotage énergétique décentralisé
- power grids
- Precision agriculture
- Prediction
- Prédiction énergétique
- Predictive energy management
- Production décentralisée
- PV forecast
- Random Forests
- Real-Tme Retraining
- renewable energy
- retraining
- Roads
- Simulation
- Smart Agriculture
- Smart building
- Smart Cities
- smart devices
- Smart Grid
- smart micro grid
- smart-grid
- SmartSantander
- social media
- Solar production prediction
- spatial modelling
- Speaker Verification
- Storage
- Système d'informatio n
- Traffic flow prediction
- Transfer Learning
- trees (mathematics)
- Triggerfish
- vehicle-to-grid
- Vine Line Detection
- Vineyard Lines
- Vineyards
- wind
- Wireless sensor networking
Publications of Dominique Genoud sorted by first author
| 1-50 | 51-56 |
A
| , , , , and , Glaucoma Prognostication Platform, Applied Machine Learning Days 2017, EPFL, Lausanne, Switzerland, 2017 |
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| , , , and , A Sensor Networking Architecture for ENTROPY - Energy-Aware Information and Communication Technologies Infrastructure Enabling Smart Building Solutions (2017), in: ICWMC 2017 : The Thirteenth International Conference on Wireless and Mobile Communications(104-106) |
[URL] |
B
| , , , , and , Solar production prediction based on non linear meteo source adaptation (2015), in: IEE(5) |
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| , , and , Big Data au service de la transition énergétique, G d'Encre, 2016 |
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| , , , and , Improving wind power prediction with retraining machine learning algorithms, 2018 International Workshop on Big Data and Information Security (IWBIS), Jakarta, Indonesia, Indonesia, pages 43-48, IEEE, 2018 |
[DOI] |
| , , , , , , , and , L’Internet des objets au service de la gestion énergétique des bâtiments, Bulletin 10s / 2013 ITG-Sonderausgabe / Numéro spécial ITG, 2013 |
[URL] |
D
| , , , , , , , and , OUTIL DE PREDICTION SOLAIRE BASE SUR UN CALCUL D’ERREUR METEOROLOGIQUE, 2015 |
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| , , , , and , Economic interest of heating and hot water prediction system for residential district (2016), in: IEEE AINA |
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| , , , , and , 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, pages 69--74, 2015 |
[DOI] |
| , and , Contribution à la mise au point d'un pilotage énergétique décentralisé par prédiction, Mines Telecom Albi, CNRS, 2017 |
[URL] |
| , , and , Heating and hot water industrial prediction system for residential district (2016), in: IEEE AINA |
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| , , and , OPTIMIZED METHOD TO PREDICT ENERGY IN A MICROGRID (2018), in: ISEC |
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| , and , Présentation du projet iBATs, SMART GRIDS - CRE, 2014 |
[URL] |
| , , , , , and , Test Set Validation for Home Electrical Signal Disaggregation, in: Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, {IMIS} 2014, Birmingham, United Kingdom, 2-4 July, 2014, pages 415--420, 2014 |
[DOI] |
| , , , and , Identification method for home electrical signal disaggregation, SET 2014, 25-28.08.2014, Geneva, Switzerland, The 13th International Conference on Sustainable Energy Technologies, 2014 |
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| , , , , and , Verification method for home electrical signal disaggregation (2014), in: ESIOT (Extending Seamlessly to the Internet of Things) |
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G
| , , , , , and , GEOLOCALIZED PHOTOVOLTAIC ENERGY PREDICTION METHODOLOGY USING MACHINE LEARNING (2023), in: CIRED 2023 |
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| , and , La gestion énergétique : atout pour la réduction de la consommation et des émissions polluantes dues à sa production, 2012 |
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| , and , SOFT FALL DETECTION USING MACHINE LEARNING in WEARABLE DEVICES, in: AINA, IEEE, Crans Montana, Switzerland, 2016 |
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| and , Outils d'aide au diagnostic de la maladie du glaucome : du capteur à la connaissance, 2012 |
[URL] |
| , , and , Aide du pilotage décentralisé par prédiction, Editions G d'encre, 2018 |
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| , , and , Prévision des prix spot de l’électricité sur le marché allemand (2015), in: Bulletin AES VSE(5) |
| , , and , Prévision des prix spot de l’électricité sur le marché allemand (2015), in: Bulletin electrosuisse/VSE/AES(27) |
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| , , , and , Towards Glaucoma Detection Using Intraocular Pressure Monitoring, in: SocPaR 2014, Tunis, Tunisia, 2014 |
H
| , , and , POLYCOST: A telephone-speech database for speaker recognition (2000), in: Speech Communication, 31:2-3(265-270) |
[DOI] |
J
, and , Big Data for Smart Cities with KNIME A Real Experience in the SmartSantander Testbed (2014), in: Software: Practice and Experience
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[DOI] [URL] |
| , and , Social Internet of Things: The Potential of the Internet of Things for Defining Human Behaviours, in: 2014 International Conference on Intelligent Networking and Collaborative Systems, Salerno, Italy, September 10-12, 2014, pages 581--585, 2014 |
[DOI] |
| , and , Determining Human Dynamics through the Internet of Things, in: Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on, IEEE, USA, pages 109 - 113, IEEE, 2013 |
[DOI] [URL] |
| , , , , , and , I-BAT : A Data-intensive Solution based on the Internet of Things to Predict Energy Behaviours in Microgrids (2014), in: International Journal of Data Warehousing and Mining (IJDWM) |
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| , , , , , , and , I-BAT: A Data-Intensive Solution Based on the Internet of Things to Predict Energy Behaviors in Microgrids (2016), in: International Journal of Data Warehousing and Mining (IJDWM), 12:2(39--61) |
| , and , Big Data in Smart Cities: From Poisson to Human Dynamics, in: 28th International Conference on Advanced Information Networking and Applications Workshops, {AINA} 2014 Workshops, Victoria, BC, Canada, May 13-16, 2014, pages 785--790, 2014 |
[DOI] |
| , and , Big Data for Cyber Physical Systems: An Analysis of Challenges, Solutions and Opportunities, in: Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, {IMIS} 2014, Birmingham, United Kingdom, 2-4 July, 2014, pages 376--380, 2014 |
[DOI] |
| , and , Short paper: Sensors data fusion for Smart Cities with KNIME: A real experience in the SmartSantander Testbed, in: WF-IoT, pages 173--174, 2014 |
[DOI] |
| , , , , and , Internet of Things for Cultural Heritage of Smart Cities and Smart Regions, in: 29th {IEEE} International Conference on Advanced Information Networking and Applications Workshops, {AINA} 2015 Workshops, Gwangju, South Korea, March 24-27, 2015, pages 668--675, 2015 |
[DOI] |
M
| , , , and , Exploiting IoT-based Sensed Data in Smart Buildings to Model its Energy Consumption, 2015 |
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| , , , , , and , Big data: the key to energy efficiency in smart buildings (2015), in: Soft computing manuscrit |
[URL] |
N
| and , Microgrid : un réseau électrique à taille humaine !, 2012 |
[URL] |
| , , , , , , , , , , , , , , , , , , , and , The ELISA Systems for the NIST'99 Evaluation in Speaker Detection and Tracking (2000), in: Digital Signal Processing Journal:1(143-153) |
[URL] |
P
| , , and , Semi-Automatic HMM-based annotation of the POLYCOST database, in: COST 250 workshop on Application of Speaker Recognition Techniques in Telephony, Vigo, Spain, pages 23-26, 1996 |
| , , and , POLYCOST : A Telephone-Speech Database for Speaker Recognition, in: Speaker Recognition and its Commercial and Forensic Applications (RLA2C), Avignon, France, pages 211-214, 1998 |
[URL] |
S
| and , Demand forecasting and smart devices as building blocks of smart micro grids, in: Proceedings of the Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2012), pages 689 -694, IEEE CPS, 2012 |
[DOI] [URL] |
T
| , and , Improving the tourism marketing strategies by predicting the behavior of travelers using social media networks, ZHAW, Winterthur, Switzerland, 2017 |
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| , , , and , 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, pages 66-73, 2016 |
[DOI] |
| , , , , , and , SoDA - Social Media Data Analysis - Poster, in: SwissText 2016, 1st Swiss Text Analystics Conference, Winterthur, Switzerland, June 8th, 2016, ZHAW, Winterthur, Switzerland, 2016 |
[URL] |
| , , , , , and , 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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| and , High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms, Bern, Switzerland, pages 103-108, IEEE 2019 6th Swiss Conference on Data Science (SDS), 2019 |
[DOI] [URL] |
| and , 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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| , and , 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 |
[DOI] |
| , and , Improved Line Detection in Images using Neural Networks and DTE Subclassifiers, in: 2021 9th European Workshop on Visual Information Processing (EUVIP), IEEE, Paris, France, pages 1-6, IEEE, 2021 |
[DOI] [URL] |
| , and , 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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| 1-50 | 51-56 |