SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6876–6900 of 12311 papers

TitleStatusHype
Green Learning: Introduction, Examples and Outlook—0
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient—0
Measurement of Trustworthiness of the Online Reviews—0
Digital financial services and open banking innovation: are banks becoming invisible?—0
Requirements Engineering for Machine Learning: A Review and Reflection—0
Efficient Bayes Inference in Neural Networks through Adaptive Importance SamplingCode0
Wetland Quality as a Determinant of Economic Value of Ecosystem Services: an Exploration—0
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes—0
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective—0
Modeling of Whole Genomic Sequencing Implementation using System Dynamics and Game Theory—0
Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning—0
Can Attention-based Transformers Explain or Interpret Cyberbullying Detection?—0
BIASeD: Bringing Irrationality into Automated System Design—0
Leveraging Semantic and Sentiment Knowledge for User-Generated Text Sentiment Classification—0
Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes—0
Deep Perceptual Enhancement for Medical Image AnalysisCode0
Ten Years after ImageNet: A 360° Perspective on AI—0
Prioritizing emergency evacuations under compounding levels of uncertaintyCode0
Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System—0
A Multiple Criteria Decision Analysis based Approach to Remove Uncertainty in SMP Models—0
Beyond Bayes-optimality: meta-learning what you know you don't know—0
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature InteractionsCode0
An Interactive Interpretability System for Breast Cancer Screening with Deep Learning—0
Causal inference in drug discovery and development—0
Accurate, reliable and interpretable solubility prediction of druglike molecules with attention pooling and Bayesian learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified