Tania Cerquitelli

Assistant professor

Politecnico di Torino

Italy

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About

Dr. Tania Cerquitelli is an Assistant Professor at Politecnico di Torino, Italy. Her research areas include machine learning, natural language processing, and AI-assisted language technologies, as reflected in her recent work on concept drift detection and inclusive language writing. She also focuses on real-time applications in cloud gaming and collaborative computing.

Articles (18)

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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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2024

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (5)

Simone Monaco

Polytechnic University of Turin

ITALY

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Marco Mellia

Full Professor

Politecnico di Torino

ITALY

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DANILO GIORDANO

Polytechnic University of Turin

ITALY

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salvatore greco

King's College London

UNITED KINGDOM

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Paolo Garza

Associate professor

Politecnico di Torino

ITALY

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Tania Cerquitelli

Research Interests

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About

Articles (18)

Unsupervised Concept Drift Detection From Deep Learning Representations in Real-Time

Towards AI-Assisted Inclusive Language Writing in Italian Formal Communications

Real-time latency prediction for cloud gaming applications

Investigating the Potential of Latent Space for the Classification of Paint Defects

Fault Prediction in Resistance Spot Welding: A Comparison of Machine Learning Approaches

Toward Unbiased High-Quality Portraits through Latent-Space Evaluation

Edge-device collaborative computing for multi-view classification

NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers

Trusting deep learning natural-language models via local and global explanations

Simplifying Text Mining Activities: Scalable and Self-Tuning Methodology for Topic Detection and Characterization

Cinematographic Shot Classification with Deep Ensemble Learning

Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction

Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes

Empowering Commercial Vehicles through Data-Driven Methodologies

Big Data Analytics for Smart Cities

K-MDTSC: K-Multi-Dimensional Time-Series Clustering Algorithm

Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools

A Data-Driven Energy Platform: From Energy Performance Certificates to Human-Readable Knowledge through Dynamic High-Resolution Geospatial Maps

Collaborators (5)

Simone Monaco

Marco Mellia

DANILO GIORDANO

salvatore greco

Paolo Garza

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