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221

AI Ethics, Biasness, and Reliability
Mishra, Pradeepta
Practical Explainable AI Using Python ; page 23-34 ; ISBN 9781484271575 9781484271582

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222

EASY‐APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis.
Kui, Balázs ; Pintér, József ; Molontay, Roland ; et al.
Clinical & Translational Medicine; Jun2022, Vol. 12 Issue 6, p1-15, 15p

ARTIFICIAL intelligence RECEIVER operating chara... PANCREATITIS WEB-based user interface... FORECASTING ARTIFICIAL pancreases
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223

Calibrated explanations for regression.
Löfström, Tuwe ; Löfström, Helena ; Johansson, Ulf ; et al.
Machine Learning; Apr2025, Vol. 114 Issue 4, p1-34, 34p

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224

Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment.
Portugal, Ernesto ; Cruz, Francisco ; Ayala, Angel ; et al.
Algorithms; Mar2022, Vol. 15 Issue 3, p91, 1p

REINFORCEMENT learning GOAL (Psychology) ARTIFICIAL intelligence ARTIFICIAL neural networ... INTELLIGENT agents
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225

Prediction of Sludge Volume Index in a Wastewater Treatment Plant Using Recurrent Neural Network.
Wongburi, Praewa ; Park, Jae K.
Sustainability (2071-1050); May2022, Vol. 14 Issue 10, p6276-6276, 15p

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226

CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients.
Kırboğa, Kevser Kübra ; Küçüksille, Ecir Uğur ; Naldan, Muhammet Emin ; et al.
Computer Methods & Programs in Biomedicine. May2023, Vol. 233, pN.PAG-N.PAG. 1p.

WUHAN (China) WORLD Health Organizatio... ARTIFICIAL intelligence COVID-19 TROPONIN VIRUS diseases …
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227

Selecting robust features for machine-learning applications using multidata causal discovery.
S., Saranya Ganesh ; Beucler, Tom ; Tam, Frederick Iat-Hin ; et al.
Environmental Data Science; 2023, Vol. 2, p1-13, 13p

MACHINE learning FEATURE selection TIME series analysis TROPICAL cyclones RANDOM forest algorithms
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228

ZenGuard a machine learning based zero trust framework for context aware threat mitigation using SIEM SOAR and UEBA.
Hassan, Aamina ; Rauf, Abdul ; Shafqat, Narmeen ; et al.
Scientific Reports. 10/14/2025, Vol. 15 Issue 1, p1-18. 18p.

MACHINE learning ANOMALY detection (Compu... SECURITY management INTERNET security
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229

Pengaruh Penggunaan Platform CodeEasy terhadap Tingkat Pemahaman Mahasiswa dalam Pembelajaran Data Science Python. (Indonesian)
Lumintang, Galur Arasy ; Nurhasan, Usman ; Lestari, Vivin Ayu
Techno.com; Nov2025, Vol. 24 Issue 4, p1142-1154, 13p

DATA science PYTHON programming langu... STUDENT engagement PRE-tests & post-tests AUTODIDACTICISM EDUCATIONAL technology …
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230

Explainable reinforcement learning for powertrain control engineering.
Laflamme, C. ; Doppler, J. ; Palvolgyi, B. ; et al.
Engineering Applications of Artificial Intelligence. Apr2025, Vol. 146, pN.PAG-N.PAG. 1p.

AUTOMATIC control system... REINFORCEMENT learning ENGINEERING design ARTIFICIAL intelligence DECISION trees
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231

Exploration of Chemical Space Through Automated Reasoning.
Clymo, Judith ; Collins, Christopher M. ; Atkinson, Katie ; et al.
Angewandte Chemie International Edition. 2/3/2025, Vol. 64 Issue 6, p1-11. 11p.

SCIENTIFIC knowledge ARTIFICIAL intelligence SCIENTIFIC computing SPACE exploration MACHINE learning
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232

Exploring Heart Disease Classification for IoMT with Multivariate Analysis of Statlog Features.
Sravanthi, J. ; Manoj, Kanakam ; Nikhitha, Manchineella ; et al.
Journal of Computational Analysis & Applications. 2025, Vol. 34 Issue 4, p30-39. 10p.

INTERNET of medical thin... MACHINE learning ARTIFICIAL intelligence DECISION trees K-nearest neighbor class... AMBULANCES
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233

Accurate Shapley Values for explaining tree-based models
Amoukou, Salim I. ; Brunel, Nicolas J-B. ; Salaün, Tangi
AISTATS 2022

Statistics - Machine Lea... Computer Science - Machi...
Report
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234

Convolutional neural network prediction of the particle size distribution of soil from close-range images.
Soranzo, Enrico ; Guardiani, Carlotta ; Wu, Wei
Soils & Foundations; Feb2025, Vol. 65 Issue 1, pN.PAG-N.PAG, 1p

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235

Lagged predictors of psychological capital in junior high school students: A supervised Machine Learning approach.
Perinelli, Enrico ; Stella, Massimo ; Bizzego, Andrea ; et al.
International Journal of Behavioral Development. Sep2025, p1.

PERSONALITY SELF-efficacy LONGITUDINAL method SELF-report inventories EDUCATIONAL intervention JUNIOR high schools …
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236

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237

Deep Learning in Gaming and Animations : Principles and Applications
Vikas Chaudhary ; Moolchand Sharma ; Prerna Sharma ; et al.

Object-oriented programm... Artificial intelligence
E-Book
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238

Debugging Machine Learning Models with Python : Develop High-performance, Low-bias, and Explainable Machine Learning and Deep Learning Models
Ali Madani ; Ali Madani

Python (Computer program... Debugging in computer sc... Machine learning--Comput...
E-Book
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239

BoostSF-SHAP: Gradient boosting-based software for protein–ligand binding affinity prediction with explanations.
Chen, Xingqian ; Song, Shuangbao ; Song, Zhenyu ; et al.
Neurocomputing. Mar2025, Vol. 622, pN.PAG-N.PAG. 1p.

DRUG discovery DECISION trees ARTIFICIAL intelligence INTERMOLECULAR interacti... COMPUTER software
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