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Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks
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- Journal Article
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- open access
Learning to reuse distractors to support multiple choice question generation in education
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CookDial : a dataset for task-oriented dialogs grounded in procedural documents
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- Journal Article
- A1
- open access
EduQG : a multi-format multiple-choice dataset for the educational domain
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- Journal Article
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- open access
Physics-informed LSTM network for flexibility identification in evaporative cooling system
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TempEL : linking dynamically evolving and newly emerging entities
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- Conference Paper
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- open access
Learning physics-informed simulation models for soft robotic manipulation : a case study with dielectric elastomer actuators
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- Conference Paper
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- open access
UGent-T2K at the 2nd DialDoc shared task : a retrieval-focused dialog system grounded in multiple documents
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- Conference Paper
- P1
- open access
Towards consistent document-level entity linking : joint models for entity linking and coreference resolution
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- Conference Paper
- C1
- open access
Design of negative sampling strategies for distantly supervised skill extraction
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- Journal Article
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Physics informed neural networks for control oriented thermal modeling of buildings
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- Journal Article
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Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks
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Robustifying sentiment classification by maximally exploiting few counterfactuals
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- Journal Article
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- open access
DWIE : an entity-centric dataset for multi-task document-level information extraction
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- Conference Paper
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- open access
Physics-informed recurrent neural networks for the identification of a generic energy buffer system
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- Journal Article
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Solving arithmetic word problems by scoring equations with recursive neural networks
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- Conference Paper
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JobBERT : understanding job titles through skills
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- Journal Article
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Exploration of block-wise dynamic sparseness
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- Conference Paper
- C1
- open access
Injecting knowledge base information into end-to-end joint entity and relation extraction and coreference resolution
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- Conference Paper
- P1
- open access
A simple geometric method for cross-lingual linguistic transformations with pre-trained autoencoders
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- Conference Paper
- C1
- open access
Lazy low-resource coreference resolution : a study on leveraging black-box translation tools
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Temporal convolutional networks for fault diagnosis of photovoltaic systems using satellite and inverter measurements
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- Conference Paper
- P1
- open access
A million tweets are worth a few points : tuning transformers for customer service tasks
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- Journal Article
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- open access
A voltage and current measurement dataset for plug load appliance identification in households
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- Journal Article
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- open access
Peak shaving through battery storage for low-voltage enterprises with peak demand pricing
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- Journal Article
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- open access
Definition and evaluation of model-free coordination of electrical vehicle charging with reinforcement learning
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Defining a synthetic data generator for realistic electric vehicle charging sessions
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- Journal Article
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Synthetic data generator for electric vehicle charging sessions : modeling and evaluation using real-world data
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- Conference Paper
- C1
- open access
Recipe instruction semantics corpus (RISeC) : resolving semantic structure and zero anaphora in recipes
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Investigating the need for real time measurements in industrial wind power systems combined with battery storage
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- Journal Article
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- open access
Bayesian cylindrical data modeling using Abe-Ley mixtures
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Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations
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Techno-economic study of hydrogen production using PV, wind power and battery storage
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Feasibility of 100% renewable energy-based electricity production for cities with storage and flexibility
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Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks
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Sub-event detection from Twitter streams as a sequence labeling problem
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A self-training approach for short text clustering
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- Conference Paper
- C1
- open access
Predicting suicide risk from online postings in Reddit : the UGent-IDLab submission to the CLPysch 2019 Shared Task A
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- Journal Article
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Appliance classification using VI trajectories and convolutional neural networks
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- Journal Article
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- open access
Quantitive analysis of electric vehicle flexibility : a data-driven approach
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- Conference Paper
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- open access
Predefined sparseness in recurrent sequence model
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- Journal Article
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Creation and evaluation of large keyphrase extraction collections with multiple opinions
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- Journal Article
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An attentive neural architecture for joint segmentation and parsing and its application to real estate ads
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- Conference Paper
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- open access
Adversarial training for multi-context joint entity and relation extraction
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- Journal Article
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Joint entity recognition and relation extraction as a multi-head selection problem
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- Conference Paper
- P1
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VI-based appliance classification using aggregated power consumption data
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- Conference Paper
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- open access
Modeling real-world flexibility of residential power consumption : exploring the cylindrical WeiSSVM distribution
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Achieving scalable model-free demand response in charging an electric vehicle fleet with reinforcement learning
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- Conference Paper
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Design and experimental validation of an LTE-based synchrophasor network in a medium voltage distribution grid
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- Conference Paper
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Predicting psychological health from childhood essays : the UGent-IDLab CLPsych 2018 shared task system.
(2018) p.119-125