Citation Impact
Citing Papers
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings
2020
Multiple kernel clustering with local kernel alignment maximization
2016
Multiple kernel k -means clustering with matrix-induced regularization
2016
Towards ultrahigh dimensional feature selection for big data
2014
Continual lifelong learning with neural networks: A review
2019 Standout
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
2021
Text Data Augmentation for Deep Learning
2021 Standout
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
Plant Growth-Promoting Rhizobacteria: Context, Mechanisms of Action, and Roadmap to Commercialization of Biostimulants for Sustainable Agriculture
2018
Plant–microbiome interactions: from community assembly to plant health
2020 Standout
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
2021 Standout
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Machine Learning: Algorithms, Real-World Applications and Research Directions
2021 Standout
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
2015 Standout
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Preparation, modification and environmental application of biochar: A review
2019 Standout
Predicting academic performance of students from VLE big data using deep learning models
2019 Standout
A Survey on Multi-Task Learning
2021
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
The role of biochar and biochar-compost in improving soil quality and crop performance: A review
2017
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Anomaly detection in wireless sensor networks: A survey
2011
Incremental Support Vector Learning for Ordinal Regression
2014 Standout
ARE WE PREPARED ENOUGH? A CASE STUDY OF CHALLENGES IN ONLINE LEARNING IN A PRIVATE HIGHER LEARNING INSTITUTION DURING THE COVID-19 OUTBREAKS
2020 Standout
A survey on heterogeneous transfer learning
2017
Discriminative Multi-View Interactive Image Re-Ranking
2017
Deep visual domain adaptation: A survey
2018 Standout
Soft Margin Multiple Kernel Learning
2013
Online learning: A comprehensive survey
2021
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
A Comprehensive Survey on Transfer Learning
2020 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
2013
Big Data Analytics in Intelligent Transportation Systems: A Survey
2018 Standout
Knowledge Distillation: A Survey
2021 Standout
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Large-Scale Multi-View Subspace Clustering in Linear Time
2020 Standout
Review on deep learning applications in frequency analysis and control of modern power system
2021 Standout
SoK: Towards the Science of security and privacy in machine learning
2018
Support vector machines under adversarial label contamination
2015
Online Learning with (Multiple) Kernels: A Review
2012
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Study on the improved fuzzy clustering algorithm and its application in brain image segmentation
2019 Standout
Improvement of Support Vector Machine Algorithm in Big Data Background
2021 Standout
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
2021
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild
2017 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Late Fusion Incomplete Multi-View Clustering
2018 Standout
Enhanced representation and multi-task learning for image annotation
2012
A survey of network anomaly detection techniques
2015 Standout
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
2018 Standout
Methods for interpreting and understanding deep neural networks
2017 Standout
Multiple Kernel k-Means with Incomplete Kernels
2017
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
2018 Standout
Two-Stage Fuzzy Multiple Kernel Learning Based on Hilbert–Schmidt Independence Criterion
2018
Support vector machines based on convex risk functions and general norms
2016
Multiple Kernel Learning for Visual Object Recognition: A Review
2014
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
A survey of transfer learning
2016 Standout
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]
2016
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
Facial expression recognition using $${l}_{p}$$ l p -norm MKL multiclass-SVM
2015
Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
2018
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
2023 Standout
Ensemble learning: A survey
2018 Standout
Improved Deep Belief Network for Short-Term Load Forecasting Considering Demand-Side Management
2019
Works of Marius Kloft being referenced
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning
2018
Learning Kernels Using Local Rademacher Complexity
2013
Deep One-Class Classification
2018
Online Anomaly Detection under Adversarial Impact
2010
ML2Motif—Reliable extraction of discriminative sequence motifs from learning machines
2017
Insights from Classifying Visual Concepts with Multiple Kernel Learning
2012
Multiple Kernel k-means with Incomplete Kernels
2019
Automatic feature selection for anomaly detection
2008
Security Analysis of Online Centroid Anomaly Detection
2010
Variable effects of biochar and P solubilizing microbes on crop productivity in different soil conditions
2015
Mixed kernel based extreme learning machine for electric load forecasting
2018
lp-Norm Multiple Kernel Learning
2011
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
2011