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Vincenzo Pasquadibisceglie

Assistant Professor (tenure) / RTT employment

University of Bari Aldo Moro

Italy

Research Interests

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Professors in Italy Professors in Biostatistics Biostatistics professors in Italy

Articles (15)

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2027

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2027

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2026

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

Collaborators (12)

Gabriella Casalino

Assistant Professor (RTD/A)

Università degli Studi di Bari

ITALY

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Ivan Donadello

Assistant researcher

Free University of Bozen-Bolzano

ITALY

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Domenico Diacono

Istituto Nazionale di Fisica Nucleare

ITALY

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Oswald Lanz

Full Professor

Free University of Bozen-Bolzano

ITALY

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Giovanna Castellano

Full Professor

University of Bari Aldo Moro

ITALY

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Donato Malerba

Full professor

Università degli Studi di Bari

ITALY

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Giuseppina Andresini

Assistant Professor tenure (RTD-B)

University of Bari Aldo Moro

ITALY

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Antonella POGGI

Associate professor

Sapienza University of Rome

ITALY

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Gianluca Zaza

IT Specialist

LUM Jean Monnet University

ITALY

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Thomas Seidl

Professor

Ludwig-Maximilians-Universität München

GERMANY

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Sylvio Barbon Junior

Associate Professor

University of Trieste

ITALY

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Malina Grigore

ITALY

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Vincenzo Pasquadibisceglie

Research Interests

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Articles (15)

Counterfactuals to Manage Ongoing Business Process Deviances

Predictive Process Monitoring Through the Lens of Deep Online Learning

Revealing Trace Variant Shift via Multi-dimensional Profiling and Community-Aware Graph Modeling

Towards Trace Variant Explainability

Data-Centric AI Manifesto: How Data Quality Drives Modern AI

Multimodal predictive process monitoring and its application to explainable clinical pathways

CICERONE: A natural language-based global approach for object-centric Predictive Process Monitoring

Improving a Mirror-based Healthcare System for Real-time Estimation of Vital Parameters

Leveraging a large language model (LLM) to predict hospital admissions of emergency department patients

GANDALF: A LLM-based approach to map bark beetle outbreaks in semantic stories of Sentinel-2 images

JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction

PROPHET: Explainable Predictive Process Monitoring With Heterogeneous Graph Neural Networks

A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery

DARWIN: An online deep learning approach to handle concept drifts in predictive process monitoring

CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector

Collaborators (12)

Gabriella Casalino

Ivan Donadello

Domenico Diacono

Oswald Lanz

Giovanna Castellano

Donato Malerba

Giuseppina Andresini

Antonella POGGI

Gianluca Zaza

Thomas Seidl

Sylvio Barbon Junior

Malina Grigore

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