Citation Impact
Citing Papers
Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs
2022 StandoutNobel
Conditional generative modeling for de novo protein design with hierarchical functions
2022
Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention
2021 StandoutNobel
Rapid and automated design of two-component protein nanomaterials using ProteinMPNN
2024 StandoutNobel
Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk
2023 Standout
A Roadmap for a Rigorous Science of Interpretability.
2017
Is multiagent deep reinforcement learning the answer or the question? A brief survey
2018
Towards ultrahigh dimensional feature selection for big data
2014
Computational Stabilization of a Non‐Heme Iron Enzyme Enables Efficient Evolution of New Function
2024 StandoutNobel
CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models
2023
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Fast and accurate protein structure search with Foldseek
2023 Standout
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms
2023
Multistate and functional protein design using RoseTTAFold sequence space diffusion
2024 StandoutNobel
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
From local explanations to global understanding with explainable AI for trees
2020 Standout
Differentiable biology: using deep learning for biophysics-based and data-driven modeling of molecular mechanisms
2021
De novo design of buttressed loops for sculpting protein functions
2024 StandoutNobel
Algorithmic regulation and the rule of law
2018
Transformer Neural Networks for Protein Family and Interaction Prediction Tasks
2022
Efficient evolution of human antibodies from general protein language models
2023
Massive MIMO is a reality—What is next?
2019
Glycoproteomics
2022 StandoutNobel
A survey of deep learning techniques for autonomous driving
2019 Standout
Controllable protein design with language models
2022
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Anchors: High-Precision Model-Agnostic Explanations
2018
The ethics of algorithms: Mapping the debate
2016 Standout
The technostress trifecta ‐ techno eustress, techno distress and design: Theoretical directions and an agenda for research
2017 Standout
ChatGPT: five priorities for research
2023 StandoutNature
Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
2024 Nobel
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
2020 Standout
Big Data Analytics in Intelligent Transportation Systems: A Survey
2018 Standout
Lessons for artificial intelligence from the study of natural stupidity
2019
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities
2021
Recent advances and applications of machine learning in solid-state materials science
2019 Standout
6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies
2019 Standout
AI can turn the clock back before we know it
2021
DALEX: Explainers for Complex Predictive Models in R
2020
Who Needs Stories if You Can Get the Data? ISPs in the Era of Big Number Crunching
2011
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems
2017
Artificial Intelligence Regulation: a framework for governance
2021 Standout
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Online active multi-field learning for efficient email spam filtering
2011
A survey and critique of multiagent deep reinforcement learning
2019
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 Standout
A review of machine learning approaches to Spam filtering
2009
Data mining with big data
2013 Standout
Works of D. Sculley being referenced
Hidden technical debt in Machine learning systems
2015
Spam Filtering Using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers.
2006
Winner's Curse? On Pace, Progress, and Empirical Rigor.
2018
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
2019
Relaxed Online SVMs in the TREC Spam Filtering Track.
2007
Using deep learning to annotate the protein universe
2022
Meaning and mining: the impact of implicit assumptions in data mining for the humanities
2008