Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Robust monitoring and evaluation give policymakers the clarity they need to refine programmes and measure real impact,” said ...
The Consultant will operationalize and institutionalize, and scale a Monitoring, Evaluation and Learning (MEL) architecture, ensuring Bank-wide adoption and integration into the SME Action Plan ...
The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic tools, into cardiovascular and stroke care is outpacing traditional ...
David Shan is the Co-Founder and CTO of Clado, who trains in-house small language models to build the best people search algorithm. We celebrate RL breakthroughs, but behind the hype lies a brittle ...
The International Rescue Committee is the leading nonsectarian, voluntary organization providing relief, protection and resettlement services for refugees and victims of oppression or violent conflict ...
Pipeline monitoring frequently encounters missing data, leading to incomplete evaluation and hindering a comprehensive assessment of the pipeline’s structural health. To address this issue, this study ...
Monitoring and evaluation (M&E) generates evidence for strategic planning, decision-making, advocacy, communication, and learning. This section aims to guide the development of the M&E plan. Planning ...
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