Citation Impact
Citing Papers
Learning with Local and Global Consistency
2003 Standout
Deep Boltzmann machines
2009 StandoutNobel
The upside of uncertainty: Identification of lithology contact zones from airborne geophysics and satellite data using Random Forests and Support Vector Machines
2013
What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education
2023 Standout
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 Standout
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Large language models in medicine
2023 Standout
A Fast Learning Algorithm for Deep Belief Nets
2006 StandoutNobel
A survey of current work in biomedical text mining
2005
The Subsystems Approach to Genome Annotation and its Use in the Project to Annotate 1000 Genomes
2005 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Using case-level context to classify cancer pathology reports
2020
Comparative analysis of regulatory patterns in bacterial genomes
2000
Learning multiple layers of representation
2007 StandoutNobel
To recognize shapes, first learn to generate images
2007 StandoutNobel
Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
2010 Standout
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Ensemble feature selection with the simple Bayesian classification
2003
Learning from Imbalanced Data
2009 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Popular Ensemble Methods: An Empirical Study
1999 Standout
An introduction to ROC analysis
2005 Standout
Image retrieval
2008 Standout
Data-driven Soft Sensors in the process industry
2009 Standout
Ensemble-based classifiers
2009 Standout
Cost-sensitive boosting for classification of imbalanced data
2007 Standout
Multi-class geospatial object detection and geographic image classification based on collection of part detectors
2014 Standout
MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning
2012 Standout
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
An Efficient Learning Procedure for Deep Boltzmann Machines
2012 StandoutNobel
Survey on speech emotion recognition: Features, classification schemes, and databases
2010 Standout
CLASSIFICATION OF IMBALANCED DATA: A REVIEW
2009 Standout
Shape matching and object recognition using shape contexts
2002 Standout
Environmental Sensor Networks: A revolution in the earth system science?
2006 Standout
A review of existing and emerging digital technologies to combat the global trade in fake medicines
2017 Standout
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
The class imbalance problem: A systematic study1
2002 Standout
SMOTE: Synthetic Minority Over-sampling Technique
2002 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Training Invariant Support Vector Machines
2002
A Multiple Resampling Method for Learning from Imbalanced Data Sets
2004 Standout
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
1998
Using Autonomy Flight Software to Improve Science Return on Earth Observing One
2005
Unlocking the value of artificial intelligence in human resource management through AI capability framework
2022 Standout
Learning in the “Real World”
1998
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
Performance of some variable selection methods when multicollinearity is present
2005 Standout
Oil spill detection by satellite remote sensing
2005 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Survey on deep learning with class imbalance
2019 Standout
Artificial Intelligence and Business Value: a Literature Review
2021 Standout
Interactive learning and probabilistic retrieval in remote sensing image archives
2000
The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI
2020 Standout
Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
2019 Standout
A review of feature selection techniques in bioinformatics
2007 Standout
An introduction to kernel-based learning algorithms
2001 Standout
Ensemble learning: A survey
2018 Standout
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
2011 Standout
Works of Lars Asker being referenced
Ensembles as a sequence of classifiers
1997
Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection
1997
Learning from heterogeneous temporal data in electronic health records
2016
Protein names and how to find them
2002
Handling Temporality of Clinical Events for Drug Safety Surveillance.
2015
Learning to Recognize Volcanoes on Venus
1998
A peek into the black box: exploring classifiers by randomization
2014