Results 221 to 230 of about 545,363 (263)

FalsEye: proactive detection of false data injection attacks in smart grids using IceCube-optimised ensemble learning. [PDF]

Sci Rep
Sheta AN, Osman SF, Eladl AA, Sedhom BE, El-Afifi MI.   +4 more
europepmc   +1 more source

Deep Ensemble Learning for Multiclass Skin Lesion Classification. [PDF]

Bioengineering (Basel)
Chiu TM, Chi IC, Li YC, Tseng MH.
europepmc   +1 more source

Enhancing cardiotocography classification via ensemble learning and threshold optimization. [PDF]

Sci Rep
Kong L, Snášel V, Bai Z, Vilimek D, Mirjalili S, Pan JS, Horakova J, Martinek R, Vilimkova Kahankova R.   +8 more
europepmc   +1 more source

Muscle synergy-driven ensemble learning framework for individualized stroke gait rehabilitation. [PDF]

Sci Rep
Lee J, Kim E.
europepmc   +1 more source

Integrating NLP and Ensemble Learning into Next-Generation Firewalls for Robust Malware Detection in Edge Computing. [PDF]

Sensors (Basel)
Moila RL, Velempini M.
europepmc   +1 more source

Interpretable Taxi-Out Time Prediction of Departure Flights Using Stacking Ensemble Learning and SHAP Analysis. [PDF]

Sci Rep
Wu T, Mao Y, Huang J, Zeng X, Ma J, Jia X.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Ensemble learning: A survey

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2018
Ensemble methods are considered the state‐of‐the art solution for many machine learning challenges. Such methods improve the predictive performance of a single model by training multiple models and combining their predictions. This paper introduce the concept of ensemble learning, reviews traditional, novel and state‐of‐the‐art ensemble methods and ...
Lior Rokach
exaly   +2 more sources