Recently, the integration of Artificial Intelligence (AI) has significantly enhanced the diagnostic accuracy in breast cancer screening. This study aims to
Identifying relevant papers necessitated systematic searching on Scopus. Our search strings incorporated both XAI-specific and ethics-specific terms. The selection of XAI-related terms (i.e., “Explainable AI," “XAI," “interpretable machine learning," “interpretability," and “AI explainability") ...
ai-research-papersSummaries of AI Research PapersPrompt EngineeringText-driven Prompt Generation for Vision-Language Models in Federated Learning (summary | paper) Reverse Stable Diffusion: What prompt was used to generate this image? (summary | paper) Prompt-ICM: A Unified Framework towards Image Co...
Intel Labs researchers will present 24 papers at CVPR 2024 on June 17-21. Six Intel Labs papers have been accepted as main conference papers, including highlight paper LiSA: LiDAR Localization with Semantic Awareness, which is the first method that incorp...
Explainable AI (XAI): As AI systems become more complex, understanding how they make decisions is crucial. Research on developing algorithms that explain their decision-making process to non-experts is gaining prominence. AI in Healthcare: Investigating AI and ML applications for medical diagnosis, ...
• Explainable AI (XAI) and visualization methods • New model or improved model of convolutional neural network in the following areas: • Sustainable construction, sustainable manufacturing • Sustainable healthcare, sustainable education
Interpretable AI (Thampi, A., 2022) Explainability Fairness Interpretability AI Fairness (Mahoney, T., Varshney, K.R., Hind, M., 2020 Report Fairness Practical Fairness (Nielsen, A., 2021) Fairness Hands-On Explainable AI (XAI) with Python (Rothman, D., 2020) Explainability AI and the La...
Calls For Papers Kyoto 2024: Recent Financial Issues in Japan and Overseas Guest editor: Takashi Kanamura Japan, which once boasted the second-largest GDP in the world, has gone through what is now known as the “lost 30 years,” academia is becoming even more critical in creating new value...
(LRP), an explainable AI technique, to extrapolate individual cell gene regulation networks from single-cell RNA sequencing data. Oncology drug response is a major challenge in cancer treatment. With an average Matthew correlation coefficient (MCC) and AUC of 0.56 and 0.80, respectively, the ...
Indeed, this is a challenge across fields: understanding how researchers develop and express research ethics, [10]. Based on their review of papers discussing ethical issues in research, Beauchemin et al., [10] highlight a dominance of descriptive ethics, with relatively little use of established...