Applied AI Letters, Volume 7, Issue 2, June 2026.In this work, we have performed human‐based evaluation of three post hoc explainability techniques, Local Interpretable Model Agnostic Explanations (LIME), Shapely Additive Explanations (SHAP), and integrated Gradients (IG) for a multilingual Bidirectional Encoder Representations from Transformers (mBERT) based binary and multi‐label misogyny ...
Sargam Yadav +2 more
wiley +1 more source
Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI). [PDF]
Sensors (Basel), 2022 Meas M +7 more
europepmc +1 more source
XAI-IDS: Toward Proposing an Explainable Artificial Intelligence Framework for Enhancing Network Intrusion Detection Systems [PDF]
Osvaldo Arreche +2 more
openalex +1 more source
Stacked Ensemble Model With Explainable AI for Early Detection of Heart Disease
Analytical Science Advances, Volume 7, Issue 1, June 2026.ABSTRACT Heart disease (HD) is still one of the most common causes of death around the world. Early detection is very important, but it is often hard to do because the symptoms are not specific and the models are not very clear. We propose a two‐layer stacked ensemble that combines four base learners—Support Vector Machine, K‐Nearest Neighbors, Naïve ...
Nazmun Nahar +8 more
wiley +1 more source
Unboxing Deep Learning Model of Food Delivery Service Reviews Using Explainable Artificial Intelligence (XAI) Technique. [PDF]
Foods, 2022 Adak A, Pradhan B, Shukla N, Alamri A.
europepmc +1 more source
International Transactions in Operational Research, Volume 33, Issue 3, Page 1525-1558, May 2026.Abstract In the last decade, explainability has been attracting much attention in the machine learning community. However, this research topic extends beyond this field to encompass others such as operations research and combinatorial optimization (CO).
Mathieu Lerouge +3 more
wiley +1 more source
Explainable artificial intelligence (XAI) in medical imaging: a systematic review of techniques, applications, and challenges. [PDF]
BMC Med ImagingAhmed F +5 more
europepmc +1 more source
Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research. [PDF]
Eur Child Adolesc Psychiatry, 2021 Roessner V +5 more
europepmc +1 more source
Explainable Artificial Intelligence Techniques for Speech Emotion Recognition: A Focus on XAI Models
Michael Norval, Zenghui Wang
openalex +2 more sources