PeppoCola
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  • Publications
    • Benchmarking large language models for automated labeling: The case of issue report classification
    • Impact of Data Quality for Automatic Issue Classification Using Pre-Trained Language Models
    • Leveraging GPT-like LLMs to Automate Issue Labeling
    • Continuous Quality Improvement of AI-based Systems: the QualAI Project
    • QualAI: Continuous Quality Improvement of AI-based Systems.
    • The NLBSE'24 Tool Competition
    • Few-Shot Learning for Issue Report Classification
    • Issue Report Classification Using Pre-Trained Language Models
    • Lexicon Enriched Hybrid Hate Speech Detection with Human-Centered Explanations
    • Leveraging Textual and Non-Textual Features for Documentation Decluttering
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    • Fine-tuning LLMs for Issue Report Classification
    • Investigating Prompt Variations for Issue Report Classification with Large Language Models
    • Synthetic Issue Report Data Generation
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    • PhD poster presentation @DBBA
    • PhD Days 2024
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    • ๐Ÿš€ I will be Research Scholar at NASA for 3 months ๐Ÿš€
    • ๐Ÿ“œ I will be guest editor for the Special Issue of Science of Computer Programming Journal ๐Ÿ“œ
    • ๐Ÿš€ Started collaboration with NASA ๐Ÿš€
    • ๐Ÿ”ง I will co-chair the NLBSE tool competition 2024๐Ÿ”ง
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    • scikit-learn
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scikit-learn

Oct 26, 2023 ยท 1 min read
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scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

Last updated on Oct 26, 2023
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Giuseppe Colavito
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Giuseppe Colavito
PhD Student in Artificial Intelligence

← PyTorch Oct 26, 2023

ยฉ 2025 Giuseppe Colavito. This work is licensed under CC BY NC ND 4.0

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