Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>" حسب Jiaqing Wang (18814630)

Details of 23 basic benchmark functions. حسب Ying Li (38224)

Consistency of model-derived predictive patterns as a function of sample diversity. حسب Oualid Benkarim (9707986)

Fitness function curve at weight factor 0.3. حسب Dhulfiqar Hakeem Dhayef (17729684)

الموضوعات:

Fluctuation of the objective function of our mathematical model with respect to shifts in one input signal of a data sample. حسب Sebastian Sager (16205)

Table_2_Optimizing functional near-infrared spectroscopy (fNIRS) channels for schizophrenic identification during a verbal fluency task using metaheuristic algorithms.XLSX حسب Dong Xia (54339)

الموضوعات:

Table_1_Optimizing functional near-infrared spectroscopy (fNIRS) channels for schizophrenic identification during a verbal fluency task using metaheuristic algorithms.XLSX حسب Dong Xia (54339)

الموضوعات:

An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions حسب Minh Pham (2458399)

"…<p>Many problems in statistics and machine learning can be formulated as an optimization problem of a finite sum of nonsmooth convex functions. …"

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic حسب NELSON L. DIAS (8078003)

"…These implementations need to utilize high-precision arithmetic, and are programmed in the Python programming language. A thorough comparison with existing R functions allows the identification of cases when the latter fail, and provide further guidance to their use.…"

Multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Out-of-distribution prediction and performance of predictive models as a function of sample diversity. حسب Oualid Benkarim (9707986)

Myosoft: An automated muscle histology analysis tool using machine learning algorithm utilizing FIJI/ImageJ software حسب Lucas Encarnacion-Rivera (8532147)

Functional analysis of anoikis-related genes. حسب Yufeng He (5673119)

الموضوعات:

The RBFNN as a classifier. حسب Ali Ahmed (2567584)

الموضوعات:

(a-b) The LASSO algorithm was used for hyperparameter tuning and identification of the important predictive features. حسب Devi Soorya Narayana Sasikumar (22331743)

الموضوعات:

Distribution of cross correlations in functional connectivity in ABIDE sample. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Cost function calculated by QA with different hyperparameters. حسب Takuro Matsuta (21608505)

الموضوعات: "…currently available algorithms…"

Cost function calculated by SA with different hyperparameters. حسب Takuro Matsuta (21608505)

الموضوعات: "…currently available algorithms…"

AIF and VOF derived features used to feed the machine learning algorithms. حسب Ezequiel de la Rosa (11361108)

Machine learning algorithm parameters. حسب Namal Rathnayake (15361124)

"…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …"