Citation Impact
Citing Papers
A comprehensive survey on safe reinforcement learning
2015 Standout
Bayesian Co-Training
2011
Sentiment analysis algorithms and applications: A survey
2014 Standout
Artificial Intelligence in Education: AIEd for Personalised Learning Pathways
2022 Standout
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
STRING v9.1: protein-protein interaction networks, with increased coverage and integration
2012 Standout
Overview of BioCreAtIvE: critical assessment of information extraction for biology
2005
STRING v10: protein–protein interaction networks, integrated over the tree of life
2014 Standout
Machine-learning approaches in drug discovery: methods and applications
2014
Machine learning applications in cancer prognosis and prediction
2014 Standout
The Subsystems Approach to Genome Annotation and its Use in the Project to Annotate 1000 Genomes
2005 Standout
Assessment of predictions submitted for the CASP7 domain prediction category
2007 StandoutNobel
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
2015 Standout
Comparative analysis of regulatory patterns in bacterial genomes
2000
The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
2010 Standout
Visual Interpretation of Kernel‐Based Prediction Models
2011
Evaluation of linguistic features useful in extraction of interactions from PubMed; Application to annotating known, high-throughput and predicted interactions in I2D
2009
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
Multi-View Learning over Structured and Non-Identical Outputs
2012
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Anomaly detection in wireless sensor networks: A survey
2011
Multimedia classification and event detection using double fusion
2013
Online sparse class imbalance learning on big data
2016
Multiple Graph Label Propagation by Sparse Integration
2013
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Molecular Docking: Shifting Paradigms in Drug Discovery
2019 Standout
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
Incomplete Multiview Spectral Clustering With Adaptive Graph Learning
2018 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Recommendation system based on deep learning methods: a systematic review and new directions
2019 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
Enhanced representation and multi-task learning for image annotation
2012
A survey of network anomaly detection techniques
2015 Standout
Methods for interpreting and understanding deep neural networks
2017 Standout
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective
2019
Machine Learning Methods for Property Prediction in Chemoinformatics:Quo Vadis?
2012
Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification
2017
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours
2017 Standout
Cross Domain Recommender Systems
2017
Intrusion detection system: A comprehensive review
2012 Standout
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
Semisupervised Self-Learning for Hyperspectral Image Classification
2013
Semi-supervised learning by disagreement
2009
Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk
2007
Works of Ulf Brefeld being referenced
Multi-View Hidden Markov Perceptrons.
2005
Systematic feature evaluation for gene name recognition
2005
Insights from Classifying Visual Concepts with Multiple Kernel Learning
2012
Efficient co-regularised least squares regression
2006
Toward Supervised Anomaly Detection
2013
Automatic feature selection for anomaly detection
2008
Machine Learning and Knowledge Discovery in Databases
2020
StructRank: A New Approach for Ligand-Based Virtual Screening
2010
Perceptron and SVM learning with generalized cost models
2004