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Fuzzy constraints for knowledge graph embeddings
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- Journal Article
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- open access
Toward context-aware anomaly detection for AIOps in microservices using dynamic knowledge graphs
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- Journal Article
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- open access
On syntactical simplification of temporal operators in negation-free metric temporal logic
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A holistic approach on multiple health behaviours and their linked determinants: a project towards personalized health interventions in older adults
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- Journal Article
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- open access
OnlineNeuro : active online learning for effective exploration of neural simulation parameters
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- Journal Article
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Exploratory decoding of TMS-EEG : predicting TEP response to intermittent and continuous theta burst stimulation
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- Journal Article
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- open access
Analysis of free-living daytime movement in patients with migraine with access to acute treatment
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- Journal Article
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Uncovering the potential of smartphones for behavior monitoring during migraine follow-up
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- Journal Article
- A2
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Tracking migraine symptoms : a longitudinal comparison of smartphone-based headache diaries and clinical interviews
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Enabling cross-context learning with knowledge graphs for anomaly detection in communications networks
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Interpretable machine learning models for COPD ease of breathing estimation
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Quality in color : using knowledge graphs for enhanced quality control in an automotive paintshop
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- Journal Article
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- open access
Explainable knowledge graph embeddings for industrial process monitoring & control
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- Journal Article
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Towards trustful machine learning for antimicrobial therapy using an explainable artificial intelligence dashboard
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- Journal Article
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Causalteshap : discerning predictive from prognostic features for treatment effect analysis
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- Conference Paper
- C1
- open access
Leveraging query decomposition for scalable SPARQL materialization in dataspaces
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- Journal Article
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- open access
RR-GCN : exploring untrained random embeddings for relational graphs
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A holistic approach to multiple health behaviours and their determinants in older adults : study protocol
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- Journal Article
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- open access
Designing a just-in-time adaptive intervention with trigger detection and a generative chatbot : smoking cessation use case
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Building digital therapeutic alliance with smoking cessation chatbots : an experimental examination of communication style and user personality
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- Conference Paper
- P1
- open access
Another brick in the wall : leveraging feature extraction and ensemble learning for building data classification
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- Conference Paper
- P1
- open access
Incremunica : web-based incremental view maintenance for SPARQL
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Lost in translation? Assessing user perception of prompt-engineered chatbot tone-of-voice for smoking cessation
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- Journal Article
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- open access
Patients with chronic cluster headache may show reduced activity energy expenditure on ambulatory wrist actigraphy recordings during daytime attacks
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- Journal Article
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Benchmarking whole knowledge graph embedding techniques
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- Journal Article
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Enabling efficient semantic stream processing across the IoT network through adaptive distribution with DIVIDE
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- Miscellaneous
- open access
RDF surfaces : enabling classical negation on the semantic web
(2024) SEMANTIC WEB. -
- Journal Article
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A holistic view over ontologies for Streaming Linked Data
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- Journal Article
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Optimized continuous homecare provisioning through distributed data-driven semantic services and cross-organizational workflows
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- Journal Article
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Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches
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- Journal Article
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INK : knowledge graph representation for efficient and performant rule mining
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- Conference Paper
- C1
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Designing a pharmacokinetic machine learning model for optimizing beta-lactam antimicrobial dosing in critically ill patients
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- Journal Article
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Unlocking the potential of smartphone and ambient sensors for ADL detection
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- Conference Paper
- C1
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Scalable table-to-knowledge graph matching from metadata using LLMs
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- Conference Paper
- P1
- open access
RDF surfaces as a first-order language for the Semantic Web
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- Conference Paper
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Unlocking the potential of mHealth for smoking cessation : an expert viewpoint
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- Conference Paper
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Tree visualization of patient information for explainability of AI outputs
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- Journal Article
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Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients
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- Conference Paper
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Comparator model for detecting changes in the ease of breathing of COPD patients
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- Conference Paper
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Powershap : a power-full shapley feature selection method
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Workshops at the Web Conference 2023
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- Journal Article
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Pathogen-based target attainment of optimized continuous infusion dosing regimens of piperacillin-tazobactam and meropenem in surgical ICU patients : a prospective single center observational study
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Towards artificial intelligence as a decision support tool to combat AMR in the ICU
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- Journal Article
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Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach
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- Journal Article
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Parameter efficient neural networks with singular value decomposed kernels
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- Journal Article
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A microservice architecture for leak localization in water distribution networks using hybrid AI
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- Journal Article
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Context-aware deep learning with dynamically assembled weight matrices
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- Conference Paper
- C1
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LDESTS : enabling efficient storage and querying of large volumes of time series data on solid pods
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- Conference Paper
- C3
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Expectations and readiness of ICU physicians to use AI in clinical practice : a multicentre survey study
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- Journal Article
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Context-aware query derivation for IoT data streams with DIVIDE enabling privacy by design
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- Journal Article
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TALK : tracking activities by linking knowledge
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- Conference Paper
- C1
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Towards cascading reasoning for generic edge processing
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- Journal Article
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From lab to real world : assessing the effectiveness of human activity recognition and optimization through personalization
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- Conference Paper
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Data analytics for health and connected care : ontology, knowledge graph and applications
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- Conference Paper
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Design of a social chatbot with gamification for user profiling and smoking trigger detection
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- Journal Article
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Leak localization in water distribution networks using GIS-Enhanced autoencoders
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- Journal Article
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Real-time estimation and monitoring of COVID-19 aerosol transmission risk in office buildings
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- Conference Paper
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pyRDF2Vec : a Python implementation and extension of RDF2Vec
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- Conference Paper
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RoXi : a framework for reactive reasoning
(2023) SEMANTIC WEB : ESWC 2023 SATELLITE EVENTS. In Lecture Notes in Computer Science 13998. p.159-163 -
- Conference Paper
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POD-QUERY : schema mapping and query rewriting for solid pods
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- Journal Article
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Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients
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- Conference Paper
- P1
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Towards knowledge-driven symptom monitoring & trigger detection of primary headache disorders
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- Conference Paper
- C3
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Hybrid machine learning for leak localization in the drinking water grid
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- Conference Paper
- C3
- open access
PowerShap : a power-full Shapley feature selection method
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- Conference Paper
- C1
- open access
From self-reporting to monitoring for improved migraine management
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- Journal Article
- A1
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Hierarchical pattern matching for anomaly detection in time series
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- Journal Article
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An adaptation algorithm for personalised virtual reality exposure therapy
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NAOMI platform optimizes communication with relatives of patients
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- Conference Paper
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Leak localization in water distribution networks by directly fitting the learning parameters of a Gaussian naive Bayes classifier
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- Journal Article
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Assessing the added value of context during stress detection from wearable data
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- Journal Article
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mBrain : towards the continuous follow-up and headache classification of primary headache disorder patients
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INK : knowledge graph embeddings for node classification
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- Journal Article
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Bridging the gap between expressivity and efficiency in stream reasoning : a structural caching approach for IoT streams
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- Journal Article
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Event-driven dashboarding and feedback for improved event detection in predictive maintenance applications
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- Journal Article
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A complete software stack for IoT time-series analysis that combines semantics and machine learning-lessons learned from the dyversify project
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Overly optimistic prediction results on imbalanced data : a case study of flaws and benefits when applying over-sampling
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- Conference Paper
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RSP4J : an API for RDF stream processing
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- Conference Paper
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Towards an evaluation framework for expressive stream reasoning
(2021) SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS. In Lecture notes in computer science 12739. p.76-81 -
- Conference Paper
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Walk extraction strategies for node embeddings with RDF2Vec in knowledge graphs
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- Journal Article
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GENDIS : genetic discovery of shapelets
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Commentary: Automated detection of preterm condition using uterine electromyography based topological features
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- Journal Article
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FLAGS : a methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning
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- Conference Paper
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Context-aware route planning : a personalized and situation-aware multi-modal transport routing approach
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- Journal Article
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A dynamic dashboarding application for fleet monitoring using semantic web of things technologies
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- Conference Paper
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RDF Stream processing prototyping with streaming MASSIF
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- Conference Paper
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Distributed continuous home care provisioning through personalized monitoring & treatment planning
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- Journal Article
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A generalized matrix profile framework with support for contextual series analysis
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- Journal Article
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Empowering children with ASD and their parents : design of a serious game for anxiety and stress reduction
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- Conference Paper
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Unsupervised anomaly detection for communication networks : an autoencoder approach
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- Conference Paper
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Conditional constraints for knowledge graph embeddings
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- Conference Paper
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Harmoney : semantics for FinTech
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- Journal Article
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Clinical information extraction for preterm birth risk prediction
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- Journal Article
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MINDWALC : mining interpretable, discriminative walks for classification of nodes in a knowledge graph
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- Conference Paper
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Facilitating the analysis of COVID-19 literature through a knowledge graph
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C-Sprite : efficient hierarchical reasoning for rapid RDF stream processing
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- Conference Paper
- C1
- open access
Inducing a decision tree with discriminative paths to classify entities in a knowledge graph
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Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks
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Modeling the prediction of the session rating of perceived exertion in soccer : unraveling the puzzle of predictive indicators
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- Journal Article
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- open access
Towards optimizing hospital patient transports by automatically identifying interpretable causes of delays
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A methodology to involve domain experts and machine learning techniques in the design of human-centered algorithms