Why marketing mix modeling is still hard to get right

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
eLife

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
GitHub

ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...
Frontiers

Integrative and interpretable machine learning framework for early non-invasive detection of clinically significant liver fibrosis

Continuous variables were compared using one-way ANOVA for normally distributed data or Mann–Whitney U test otherwise. The categorical variables were compared using chi-square analysis, and ...
Frontiers

Improved YOLOv8 method for photovoltaic panel surface state detection integrating spatial-to-depth convolution and Wise-IoU

Table 3 reports the performance of different ablation settings in terms of mAP50, mAP50-95, Precision, and Recall, while Figures 8 – 10 present detection result comparisons for three representative ...
GitHub

Azure/azure-functions-openai-extension

This project adds support for OpenAI LLM (GPT-3.5-turbo, GPT-4, o-series) bindings in Azure Functions. This extension depends on the Azure AI OpenAI SDK.