stefano squartini

Full Professor

Università Politecnica delle Marche

Italy

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About

Dr. Stefano Squartini is a Full Professor at Università Politecnica delle Marche in Italy. His research interests include non-intrusive load monitoring, deep learning applications in healthcare, and audio signal processing. Recently, he has authored several articles focusing on topics such as knowledge distillation, generative neural models, and sleep apnea identification. Dr. Squartini is dedicated to advancing technology in both industrial and clinical settings.

Articles (25)

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2020

Collaborators (6)

Emanuele Principi

Assistant Professor

Università Politecnica delle Marche

ITALY

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Leonardo Gabrielli

Marche Polytechnic University

ITALY

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Lina Stankovic

University Of Strathclyde

UNITED KINGDOM

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Vladimir Stankovic

University Of Strathclyde

UNITED KINGDOM

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Andrea Castellani

GERMANY

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Mingjun Zhong

University of Aberdeen

UNITED KINGDOM

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stefano squartini

Research Interests

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Articles (25)

Complex-bin2bin: A Latency-Flexible Generative Neural Model for Audio Packet Loss Concealment

Interpretability and reliability-driven knowledge distillation for non-intrusive load monitoring on the edge

Non-Intrusive Load Monitoring in industrial settings: A systematic review

A Graph-Based Neural Approach to Linear Sum Assignment Problems

Knowledge Distillation for Scalable Nonintrusive Load Monitoring

SiCRNN: A Siamese Approach for Sleep Apnea Identification via Tracheal Microphone Signals

An advanced multimodal driver-assistance prototype for emergency-vehicle detection

End-to-end integration of speech separation and voice activity detection for low-latency diarization of telephone conversations

Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications

Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications

Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring

A3CarScene: An audio-visual dataset for driving scene understanding

A deep learning-based telemonitoring application to automatically assess oral diadochokinesis in patients with bulbar amyotrophic lateral sclerosis

A deep learning-based telemonitoring application to automatically assess oral diadochokinesis in patients with bulbar amyotrophic lateral sclerosis

A3CarScene: An audio-visual dataset for driving scene understanding

An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings

An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings

Few-Shot Emergency Siren Detection

Antiderivative Antialiasing for Arbitrary Waveform Generation

Deep Optimization of Parametric IIR Filters for Audio Equalization

Multi-Household Energy Management in a Smart Neighborhood in the Presence of Uncertainties and Electric Vehicles

Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection

Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning

Transfer Learning for Non-Intrusive Load Monitoring

Designing Audio Equalization Filters by Deep Neural Networks

Collaborators (6)

Emanuele Principi

Leonardo Gabrielli

Lina Stankovic

Vladimir Stankovic

Andrea Castellani

Mingjun Zhong

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