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Predicting molecular crystals of polynitrogen (N6) structures with cage-like geometries using ab initio evolutionary algorithm

Chemical physics letters, 2024-06, Vol.844, Article 141262

2024

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Correcting matrix products over the ring of integers

Information processing letters, 2024-08, Vol.186, Article 106496

2024

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A review on Quantum Approximate Optimization Algorithm and its variants

Physics reports, 2024-06, Vol.1068, p.1-66

2024

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Multiscale biomolecular simulations in the exascale era

Current opinion in structural biology, 2024-06, Vol.86, p.102821-102821, Article 102821

2024

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Comparison of algorithms for heat load prediction of buildings

Energy (Oxford), 2024-06, Vol.297, Article 131318

2024

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Present and Future Optimization of Orthopaedic Care Through Machine Learning Algorithms

The Journal of arthroplasty, 2024-05, Vol.39 (5), p.1171-1172

2024

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An efficient algorithm for Fantope-constrained sparse principal subspace estimation problem

Applied mathematics and computation, 2024-08, Vol.475, Article 128708

2024

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VolCID: A MATLAB-based GUI for the detection of volcanic vent clusters

Computers & geosciences, 2024-06, Vol.188, Article 105597

Cañón-Tapia, Edgardo

2024

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Spatial mapping of land susceptibility to dust emissions using optimization of attentive Interpretable Tabular Learning (TabNet) model

Journal of environmental management, 2024-05, Vol.358, p.120682-120682, Article 120682

2024

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Computational analysis, appraised concern-relevance, and the amygdala: The algorithmic value of appraisal processes in emotion

Neuroscience and biobehavioral reviews, 2024-06, Vol.161, p.105676-105676

2024

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Dispersion problem on a convex polygon

Information processing letters, 2025-01, Vol.187, Article 106498

2025

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On conflict-free cuts: Algorithms and complexity

Information processing letters, 2025-01, Vol.187, Article 106503

2025

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An advanced framework for net electricity consumption prediction: Incorporating novel machine learning models and optimization algorithms

Energy (Oxford), 2024-06, Vol.296, Article 131259

2024

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A linear-time algorithm for the center problem in weighted cycle graphs

Information processing letters, 2024-08, Vol.186, Article 106495

2024

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Scarce, scarcer, scarcest: Sensitivity-flexible AI-based planning of elective surgeries for efficient and effective intensive care resource management

Journal of critical care, 2024-06, Vol.81

2024

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MTLComb: Multi-task learning combing regression and classification tasks with biomarker identification – an application to sepsis

Journal of critical care, 2024-06, Vol.81

2024

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The drug loading capacity prediction and cytotoxicity analysis of metal–organic frameworks using stacking algorithms of machine learning

International journal of pharmaceutics, 2024-05, Vol.656, p.124128-124128, Article 124128

2024

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New algorithms for fair k-center problem with outliers and capacity constraints

Theoretical computer science, 2024-05, Vol.997, Article 114515

2024

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Precision healthcare: A deep dive into machine learning algorithms and feature selection strategies for accurate heart disease prediction

Computers in biology and medicine, 2024-06, Vol.176, p.108432-108432

2024

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How exascale computing can shape drug design: A perspective from multiscale QM/MM molecular dynamics simulations and machine learning-aided enhanced sampling algorithms

Current opinion in structural biology, 2024-06, Vol.86, p.102814-102814, Article 102814

2024

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A two-layer energy management for islanded microgrid based on inverse reinforcement learning and distributed ADMM

Energy (Oxford), 2024-08, Vol.301, Article 131672

2024

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Response rates to sequential trials of antipsychotic medications according to algorithms or treatment guidelines in psychotic disorders. A systematic review and meta-analysis

Schizophrenia research, 2024-03

2024

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Machine learning: An accelerator for the exploration and application of advanced metal-organic frameworks

Chemical engineering journal (Lausanne, Switzerland : 1996), 2024-06, Vol.490, Article 151828

2024

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Biased random-key genetic algorithms: A review

European journal of operational research

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Coordinating scheduling and rejection decisions in a two-machine flow shop scheduling problem

European journal of operational research

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Predicting molecular crystals of polynitrogen (N6) structures with cage-like geometries using ab initio evolutionary algorithm

Correcting matrix products over the ring of integers

A review on Quantum Approximate Optimization Algorithm and its variants

Multiscale biomolecular simulations in the exascale era

Comparison of algorithms for heat load prediction of buildings

Present and Future Optimization of Orthopaedic Care Through Machine Learning Algorithms

An efficient algorithm for Fantope-constrained sparse principal subspace estimation problem

VolCID: A MATLAB-based GUI for the detection of volcanic vent clusters

Spatial mapping of land susceptibility to dust emissions using optimization of attentive Interpretable Tabular Learning (TabNet) model

Computational analysis, appraised concern-relevance, and the amygdala: The algorithmic value of appraisal processes in emotion

Dispersion problem on a convex polygon

On conflict-free cuts: Algorithms and complexity

An advanced framework for net electricity consumption prediction: Incorporating novel machine learning models and optimization algorithms

A linear-time algorithm for the center problem in weighted cycle graphs

Scarce, scarcer, scarcest: Sensitivity-flexible AI-based planning of elective surgeries for efficient and effective intensive care resource management

MTLComb: Multi-task learning combing regression and classification tasks with biomarker identification – an application to sepsis

The drug loading capacity prediction and cytotoxicity analysis of metal–organic frameworks using stacking algorithms of machine learning

New algorithms for fair k-center problem with outliers and capacity constraints

Precision healthcare: A deep dive into machine learning algorithms and feature selection strategies for accurate heart disease prediction

How exascale computing can shape drug design: A perspective from multiscale QM/MM molecular dynamics simulations and machine learning-aided enhanced sampling algorithms

A two-layer energy management for islanded microgrid based on inverse reinforcement learning and distributed ADMM

Response rates to sequential trials of antipsychotic medications according to algorithms or treatment guidelines in psychotic disorders. A systematic review and meta-analysis

Machine learning: An accelerator for the exploration and application of advanced metal-organic frameworks

Biased random-key genetic algorithms: A review

Coordinating scheduling and rejection decisions in a two-machine flow shop scheduling problem

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