Author

Luca Longo

Observed names: Longo, Luca, Luca, Longo

Observed institution: University College Cork

ORCID: 0000-0002-2718-5426

Observed ORCID: 0000-0002-2718-5426

OpenAlex ID: A5130641752

Assessing Interaction Quality in Human–AI Dialogue: An Integrative Review and Multi-Layer Framework for Conversational Agents

2026 · Luca Marconi, Luca Longo, et al. · Machine Learning and Knowledge Extraction · 14

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e-profits: a business-aligned evaluation metric for profit-sensitive customer churn prediction

2026 · Awais Manzoor, M. Atif Qureshi, et al. · International Journal of Data Science and Analytics · 4

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Human-Centred Evaluation of an Interactive User Interface for Surrogate Decision Trees via Psychometrics

2026 · Carmine Attanasio, Giulia Vilone, et al. · International Journal of Human-Computer Interaction · 1

Modelpedia: A Catalog of Model Findings for the Meta-Science of AI

2026 · Bernat, Franciszek, Płudowski, Dawid, et al. · arXiv (Cornell University)

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Integrating convolutional variational autoencoders and the Gaussian mixture model for efficient manifold learning and clustering of spatially preserved EEG topographic maps

2026 · Saheed Faremi, Luca Longo · Brain Informatics

Human-Centred Evaluation of an Interactive User Interface for Surrogate Decision Trees via Psychometrics

2026 · Attanasio, Carmine, Vilone, Giulia, et al. · Figshare

The Case for Model Science: Verify, Explore, Steer, Refine

2026 · Biecek, Przemyslaw, Longo, Luca, et al. · arXiv (Cornell University)

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ConformaDecompose: Explaining Uncertainty via Calibration Localization

2026 · Yapicioglu, Fatima Rabia, Aksoy, Meltem, et al. · arXiv (Cornell University)

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Interpretable EEG Microstate Discovery via Variational Deep Embedding: A Systematic Architecture Search with Multi-Quadrant Evaluation

2026 · Faremi, Saheed, Visentin, Andrea, et al. · arXiv (Cornell University)

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Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection

2026 · Rossberg, Nicola, Kleinberg, Bennett, et al. · arXiv (Cornell University)

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No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions

2026 · Schiller, Emily, Chiaburu, Teodor, et al. · arXiv (Cornell University)

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SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data

2026 · Zhang, Mingxing, Rossberg, Nicola, et al. · Cork Open Research Archive (University College Cork, Ireland)

Residual Value Prediction in Automotive: A Review of Methods and Data With Research Roadmap

2026 · Fatima Rabia Yapicioglu, Alberto Rigenti, et al. · IEEE Access

ConformaDecompose: Explaining Uncertainty via Calibration Localization

2026 · Fatima Rabia, Yapicioglu, Meltem, Aksoy, et al. · Zenodo (CERN European Organization for Nuclear Research)

Explainable Artificial Intelligence. Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025, Proceedings, Part V

2026 · Guidotti, Riccardo, Schmid, Ute, et al. · Publikationen an der Universität Bielefeld (Universität Bielefeld)

Preface

2024 · Longo, Luca, Lapuschkin, Sebastian Roland, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)

Work It: How Mental Overload Affects Design

2019 · Longo, Luca · Arrow - TU Dublin (Technological University Dublin)

Works count: 17

Citation count: 19

H-index: 2

I10-index: 1