Standout Papers
Citation Impact
Citing Papers
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings
2020
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning
2018
DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images
2020
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
2018 Standout
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community
2018
HESS Opinions: Deep learning as a promising avenue toward knowledge discovery in water sciences
2018
Attention gated networks: Learning to leverage salient regions in medical images
2019 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Deep learning algorithm predicts diabetic retinopathy progression in individual patients
2019
Deep learning for computational biology
2016
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
Machine Learning Methods for Histopathological Image Analysis
2018
A roadmap to creating ferroptosis-based medicines
2021
Deep learning interpretation of echocardiograms
2020
SignalP 5.0 improves signal peptide predictions using deep neural networks
2019 Standout
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
Ferroptosis turns 10: Emerging mechanisms, physiological functions, and therapeutic applications
2022 Standout
AI in health and medicine
2022 Standout
Effective gene expression prediction from sequence by integrating long-range interactions
2021 StandoutNobel
DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images
2020
Large language models in medicine
2023 Standout
Big data and machine learning algorithms for health-care delivery
2019 Standout
On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities
2020
Sequential regulatory activity prediction across chromosomes with convolutional neural networks
2018
Designing deep learning studies in cancer diagnostics
2021
A survey on deep learning in medical image analysis
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Photodynamic therapy and anti-tumour immunity
2006 Standout
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Automated detection of COVID-19 cases using deep neural networks with X-ray images
2020 Standout
A guide to deep learning in healthcare
2018 Standout
Applications of machine learning in drug discovery and development
2019 Standout
Digital pathology and artificial intelligence
2019 Standout
Deep learning in bioinformatics: Introduction, application, and perspective in the big data era
2019
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Artificial intelligence in radiology
2018 Standout
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps
2019
Artificial intelligence in healthcare
2018 Standout
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
2020 Standout
Escape from immunotherapy: possible mechanisms that influence tumor regression/progression
2004
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data
2017
Predicting academic performance of students from VLE big data using deep learning models
2019 Standout
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
6G Internet of Things: A Comprehensive Survey
2021 Standout
Do Convolutional Neural Networks Learn Class Hierarchy?
2017
Towards Robust Interpretability with Self-Explaining Neural Networks
2018
DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation
2019
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
2020 Standout
Understanding the role of individual units in a deep neural network
2020
Deep learning for healthcare: review, opportunities and challenges
2017 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Knowledge Distillation: A Survey
2021 Standout
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
2019
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
DeepSig: deep learning improves signal peptide detection in proteins
2017
Artificial Intelligence in Dentistry: Chances and Challenges
2020 Standout
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
The global landscape of AI ethics guidelines
2019 Standout
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
2021
Understanding convolutional neural networks with a mathematical model
2016
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Interpretability of deep learning models: A survey of results
2017
Methods for interpreting and understanding deep neural networks
2017 Standout
Deep Hyperspectral Image Sharpening
2018
Accurate Interpretation of the Online Learning Model for 6G-Enabled Internet of Things
2021
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
2019 Standout
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization
2018 Standout
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 Standout
A review on the attention mechanism of deep learning
2021 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI
2020 Standout
Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
2018
UNCERTAINTY MODELING AND INTERPRETABILITY IN CONVOLUTIONAL NEURAL NETWORKS FOR POLYP SEGMENTATION
2018
Works of Alexander Binder being referenced
Deep One-Class Classification
2018
Pruning by explaining: A novel criterion for deep neural network pruning
2021
Clinical relevance of CD95 (Fas/Apo-1) on T cells of patients with B-cell chronic lymphocytic leukemia
2003
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
2015 Standout
Morphological and molecular breast cancer profiling through explainable machine learning
2021
Evaluating the Visualization of What a Deep Neural Network Has Learned
2016
Understanding and Comparing Deep Neural Networks for Age and Gender Classification
2017
Explaining nonlinear classification decisions with deep Taylor decomposition
2016