Skill UI

This guide outlines the stringent reproducibility and data requirements for submitting manuscripts to Agricultural Systems (AgSy). Because AgSy treats code, models, and algorithms as research data, authors must learn how to deposit all materials in a recognized repository (e.g., Zenodo, OSF), cite them permanently, and document the model structure, parameters, and versions. It provides a checklist for building a reproducible research workflow.

A comprehensive guide for authors submitting to top-tier computer vision conferences (like ICCV). It details the new single-deadline workflow, emphasizing the parallel production of code and videos. Learn how to structure supplementary materials for maximum reviewer impact, including detailed ablation studies, failure mode galleries, and maintaining strict double-blind anonymity in the archive.

This guide outlines the comprehensive steps required to convert an accepted, anonymous academic paper into its final, published 'camera-ready' version for major conferences (e.g., RecSys). It covers crucial tasks such as restoring author details, affiliations, funding, integrating rebuttal promises, ensuring proper ACM two-column reflow, and managing public code/data repository release.

This guide details the comprehensive steps required after an ACM conference paper has been accepted. It covers critical stages including obtaining shepherd approval, de-anonymizing the work (restoring author names, funding, and system details), reflowing the paper using the acmart template, and submitting both the source code and the final PDF through the ACM Publishing System (TAPS). It emphasizes releasing public artifacts for reproducibility.

Orchestrates end-to-end onboarding for new team members, from pre-arrival account and hardware setup through Day 1 orientation, Week 1 codebase immersion, dev environment configuration, and 90-day mentorship milestones.