Citation Impact
Citing Papers
Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs
2022 StandoutNobel
The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink
2015 StandoutScience
Supervised learning with decision tree-based methods in computational and systems biology
2009
Bayesian chain classifiers for multidimensional classification
2011
Multi-Label Classification on Tree- and DAG-Structured Hierarchies
2011
GLEAM v3: satellite-based land evaporation and root-zone soil moisture
2017 Standout
Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model
2009
Classifier chains for multi-label classification
2011 Standout
AI technologies for education: Recent research & future directions
2021 Standout
Experiment databases
2012
Machine learning in agriculture domain: A state-of-art survey
2021 Standout
A systematic literature review of personalized learning terms
2020
Artificial Intelligence in Education: AIEd for Personalised Learning Pathways
2022 Standout
Computational flow cytometry: helping to make sense of high-dimensional immunology data
2016
Structure-based Markov random field model for representing evolutionary constraints on functional sites
2016
Widespread context dependency of microRNA-mediated regulation
2014
ilastik: interactive machine learning for (bio)image analysis
2019 Standout
agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update
2017 Standout
Machine learning for molecular and materials science
2018 StandoutNature
miRNA–target chimeras reveal miRNA 3′-end pairing as a major determinant of Argonaute target specificity
2015 StandoutNobel
Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review
2021
Applications of contact predictions to structural biology
2017 StandoutNobel
Dimensionality reduction for visualizing single-cell data using UMAP
2018 Standout
Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning
2023 Standout
Towards revealing the functions of all genes in plants
2013
A Bayesian Probabilistic Approach for Acoustic Emission‐Based Rail Condition Assessment
2017
A survey of deep learning methods and software tools for image classification and object detection
2016
Ontology of core data mining entities
2014
Multi-label Classification Using Ensembles of Pruned Sets
2008
A publicly available crystallisation data set and its application in machine learning
2017
Artificial intelligence in mathematics education: A systematic literature review
2022 Standout
Object-Based Image Classification of Summer Crops with Machine Learning Methods
2014
Functional classification of CATH superfamilies: a domain-based approach for protein function annotation
2015
Predicting effective microRNA target sites in mammalian mRNAs
2015 Standout
Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes
2014 Standout
Past, present, and future of smart learning: a topic-based bibliometric analysis
2021 Standout
AI-enabled adaptive learning systems: A systematic mapping of the literature
2021 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
A survey on semi-supervised learning
2019 Standout
Multi-dimensional classification with Bayesian networks
2011
An extensive experimental comparison of methods for multi-label learning
2012
A Tutorial on Multilabel Learning
2015 Standout
Recent advances in convolutional neural networks
2017 Standout
In-situ synthesizing carbon nanotubes on cement to develop self-sensing cementitious composites for smart high-speed rail infrastructures
2022 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Object Detection With Deep Learning: A Review
2019 Standout
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
2018 Standout
Application and theory gaps during the rise of Artificial Intelligence in Education
2020
Decision forest: Twenty years of research
2015
Semi-supervised classification trees
2017
A Review on Multi-Label Learning Algorithms
2013 Standout
Risk assessment of gas explosion in coal mines based on fuzzy AHP and bayesian network
2020 Standout
Graph-based approach for airborne light detection and ranging segmentation
2017 Standout
Ensemble learning: A survey
2018 Standout
Works of Celine Vens being referenced
Predicting gene function using hierarchical multi-label decision tree ensembles
2010
Predicting human olfactory perception from chemical features of odor molecules
2017 Science
Meta-learning from experiment databases : an illustration
2007
Applying machine learning to detect early stages of cardiac remodelling and dysfunction
2020
FloReMi: Flow density survival regression using minimal feature redundancy
2015
Decision trees for hierarchical multi-label classification
2008
Top-Down Clustering for Protein Subfamily Identification
2013
A simple regression based heuristic for learning model trees
2006
Tree ensembles for predicting structured outputs
2012
Identifying discriminative classification-based motifs in biological sequences
2011
Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems
2019
Random Forest Based Feature Induction
2011