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2321
Remembering for the right reasons: Explanations reduce catastrophic forgetting
Published 2021-12-01“…We have evaluated our approach in the standard and few‐shot settings and observed a consistent improvement across various CL approaches using different architectures and techniques to generate model explanations and demonstrated our approach showing a promising connection between explainability and continual learning. …”
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2322
Design of Logistics Sorting Algorithm Based on Deep Learning and Sampling Evaluation
Published 2024-04-01“…The accuracy rate and all-class average precision value were higher than other target detection models, and the fluctuation of the value taken was smaller, which was suitable for logistics parcel localization. The position generation model, based on a sampling evaluation, yielded significantly different values compared to other algorithms. …”
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2323
MALDI-TOF mass spectrometry profiling of bovine skim milk for subclinical mastitis detection
Published 2022-12-01“…Classification algorithms (i.e., quick classifier, genetic algorithm, and supervised neural network) were applied for generating models able to classify new spectra (i.e., samples) into the two classes. …”
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2324
Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Eval...
Published 2023-01-01“…By leveraging clinical and paraclinical features, the generated models are evaluated and compared to existing approaches. …”
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2325
Interactive design generation and optimization from generative adversarial networks in spatial computing
Published 2024-03-01“…The multi-feature icon generation model based on Auxiliary Classifier GANs performs well in presenting multiple feature representations of icons. …”
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2326
Facilitating “Omics” for Phenotype Classification Using a User-Friendly AI-Driven Platform: Application in Cancer Prognostics
Published 2023-11-01“…In comparison to other models, our generated models rendered performances with competitive sensitivities (72–85%), specificities (76–85%), accuracies (75–85%), and Receiver Operating Characteristic curves with superior Areas Under the Curve (ROC-AUC of 77–86%). …”
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2327
Optimal selection of time windows for preventive maintenance of offshore wind farms subject to wake losses
Published 2023-11-01“…This paper leverages a wind farm power generation model to calculate downtime energy losses during preventive maintenance for an offshore wind farm. …”
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2328
A procedural footprint enhancement of global topographic surface with multiple levels of detail
Published 2020-04-01“…Such properties of the method close up the gap between a mere exploratory visualization of static, pre-generated models and the models supporting geospatial analysis, which is deemed crucial for applications in Geographic Information Systems, Building Information Modelling and other software industries. …”
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2329
Unscented Kalman Filter-Based Robust State and Parameter Estimation for Free Radical Polymerization of Styrene with Variable Parameters
Published 2022-02-01“…However, when the parameters change with system switching, the traditional UKF-SPE cannot detect and track the parameter changes in time, and inaccurate parameters generate modeling errors. To deal with the problem, a UKF-based robust SPE method (UKF-RSPE) for the free radical polymerization of styrene with variable parameters is proposed, introducing a parameter testing criterion based on hypothesis testing and moving windows to directly detect whether the parameters have changed. …”
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2330
Are Torque-Driven Simulation Models of Human Movement Limited by an Assumption of Monoarticularity?
Published 2021-04-01“…The two-joint torque generator model of squat and countermovement jumps matched measured jump performances more closely (6% and 10% different, respectively) than the single-joint simulation model (10% and 24% different, respectively). …”
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2331
Resourceful Event-Predictive Inference: The Nature of Cognitive Effort
Published 2022-06-01“…To get a more complete formalization of cognitive effort, a resourceful event-predictive inference model (REPI) is introduced, which offers computational and algorithmic explanations about the latent structure of our generative models, the active inference dynamics that unfold within, and the cognitive effort required to steer the dynamics—to, for example, purposefully process sensory signals, decide on responses, and invoke their execution. …”
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2332
Multi-Hop Question Generation Using Hierarchical Encoding-Decoding and Context Switch Mechanism
Published 2021-10-01“…However, neural generation models suffer from the global and local semantic semantic drift problems. …”
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2333
GAN River-I: A process-based low NTG meandering reservoir model dataset for machine learning studies
Published 2023-02-01“…Each dataset comprises an ensemble of meandering models representing various plausible patterns and, therefore, can be used as a geologically plausible benchmark for testing generative models’ performance. We provide three data file formats, including image, Ndarray and GSLIB, to adapt to different researchers’ preferences.…”
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2334
Semi-automated Generation of Geometric Digital Twin for Bridge Based on Terrestrial Laser Scanning Data
Published 2023-01-01“…The quality of the generated models is gauged using a point cloud deviation chromatogram. …”
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2335
Survey on Synthetic Data Generation, Evaluation Methods and GANs
Published 2022-08-01“…Generative adversarial networks (GANs) are a state-of-the-art deep generative models that can generate novel synthetic samples that follow the underlying data distribution of the original dataset. …”
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2336
Correlation-based analysis and generation of multiple spike trains using Hawkes models with an exogenous input
Published 2010-11-01“…However, the diversity of correlation structures that can be explained by the feed-forward, non-recurrent, generative models used in these studies is limited. Hence, methods based on such models occasionally fail when analyzing correlation structures that are observed in neural activity. …”
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2337
Evaluation of the performance of artificial neural networks integrated with whale optimization and ant colony optimization algorithms in estimating the drilling rate of penetration...
Published 2021-06-01“…In the following, 12.25” hole-section information of two wells containing a similar sequence of drilled formations was used to train and test the models, and then the generated models were validated by the third well information. …”
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2338
Integration of multisource data to support the identification of lateritic regolith in Eastern - Bahia, northeastern Brazil
Published 2020-02-01“…The observed correlation between the generated models and the direct data validates the effectiveness of the techniques used.…”
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2339
The Online Frequency Security Assessment of a Power System Considering the Time-Varying Characteristics of Renewable Energy Inertia
Published 2023-05-01“…Firstly, a unified virtual synchronous generator model is established to identify the virtual inertia time constant of the renewable energy station in real time; then, under the pre-defined frequency safety verification event, the maximum deviation of the system frequency is periodically calculated and judged based on the G model to realize the online frequency safety assessment. …”
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2340
Model Selection Path and Construction of Model Confidence Set under High-Dimensional Variables
Published 2024-02-01“…To further confirm that MSP can successfully generate model confidence sets that maintain the given confidence level as the sample size increases, we conduct extensive simulation tests with high-dimensional variables. …”
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