IPL at CLEF 2010
Abstract
This paper describes the participation of the IPL team in the ImageCLEF-2010 campaign. Our research group has participated in the ad hoc task the case-based and the modality tasks of image retrieval based only on textual data. To reach our aim we performed a quantitative evaluation of Lucene search engine using several state of the art similarity functions. Our runs performed moderately well using the MAP and the early precision (P10) metric.
Type
Publication
In CLEF working notes 2010, Padua, Italy
Authors
Senior AI/ML and genomics practitioner
Senior AI/ML and genomics practitioner with ~15 years building open-source, production-grade tools for large-scale biological data. Maintainer of multiple Bioconductor packages (fastreeR, metabinR, jvecfor), and author of agentic, LLM-driven tooling that runs reproducible bioinformatics workflows from natural-language requests.
Broad multi-omics background spanning genome assembly and annotation, population genomics, large-scale NGS and functional-genomics analysis, and metagenomics, backed by reproducible HPC software and end-to-end program leadership. Currently focused on bringing modern AI — embeddings, deep learning, and LLM-based agents — to making complex omics datasets faster and easier to interrogate.