Category: Computer Science & AI

Improvisational Participatory Storming: A Toolkit of Improvisational Design Methods for Human-Robot Interaction
Improvisational Participatory Storming integrates theatre-based methods with drama therapy for inclusive human-robot interaction design, enabling direct community participation while protecting.

.plan-26-10: Streaming TESSERA working, biodiversity action papers, and FPL takes off
Browser-based streaming interface for satellite embeddings demonstrates client-side geospatial analysis, raising programming paradigm questions for Earth observation workflows.

SmartUI: Human-in-the-Loop Editable Interface Generation through Semantic Structures
SmartUI enables human-in-the-loop UI generation through Figma integration, using structured semantic representations for editable, iterative design with 0.93 structure consistency.

A Data-Analysis Pipeline for High-Throughput Systematic Evolution of Ligands by Exponential Enrichment (HT-SELEX) in the Characterization of Telomeric Proteins
Development and validation of a bioinformatics pipeline for analyzing HT-SELEX data to characterize DNA-binding properties of telomeric proteins in human and C. elegans.

Dynamic Graph Generation from Excel Using Machine Learning Algorithm Data Visualization Dashboard
Automated pipeline for converting Excel spreadsheets to dynamic, publication-quality visualizations using machine learning chart recommendation and interactive dashboard functionality.

Quantification of Craniofacial Growth Pattern Based on Deep Learning
Deep learning framework quantifies craniofacial growth patterns and sexual dimorphism from cephalometric radiographs using automated feature extraction and saliency mapping without manual annotation.

Retrieval-augmented Generation of Enhanced Trigger-action Programming Rules in Smart Home
Retrieval-augmented generation system for automated generation of complex trigger-action programming rules in smart home automation, achieving 84% accuracy through semantic exemplar matching.

Cleo: A Transparent and Controllable Chatbot for Conversational Commerce
Cleo is a transparent conversational commerce chatbot that combines explicit ranking with constrained language generation to provide auditable product recommendations while preventing hallucination.

Understanding Query Optimization Bugs in Graph Database Systems
Systematic study of query optimization bugs in graph databases reveals root causes, manifestation patterns, and fixes to improve GDBMS reliability and system design.

AI4Qual: A Comprehensive Field Guide to LLM-Supported Qualitative Research (Tutorial)
Learn to integrate large language models into qualitative research with AI4Qual. Master LLM-supported interviewing, coding, and thematic analysis through evidence-based guidance and practical tools.










