Michele Scarpiniti | Ricerc@Sapienza

Publications

Title	Published on	Year
A Scalogram-Based CNN Approach for Audio Classification in Construction Sites	APPLIED SCIENCES	2024
Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments	VEHICULAR COMMUNICATIONS	2024
Multi-resolution twinned residual auto-encoders (MR-TRAE)—a novel DL model for image multi-resolution	COGNITIVE COMPUTATION	2024
Spline adaptive exponential functional link filter for nonlinear acoustic echo cancellation	Proceedings of 32nd European Signal Processing Conference (EUSIPCO 2024)	2024
Arrhythmia detection by data fusion of ECG scalograms and phasograms	SENSORS	2024
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study	THE JOURNAL OF SUPERCOMPUTING	2023
Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images	EXPERT SYSTEMS WITH APPLICATIONS	2023
A U-Net Based Architecture for Automatic Music Transcription	2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)	2023
Leaky Echo State Network for Audio Classification in Construction Sites	Smart Innovation, Systems and Technologies	2023
Generating New Sounds by Vector Arithmetic in the Latent Space of the MelGAN Architecture	Smart Innovation, Systems and Technologies	2023
Quaternion gated recurrent units for renewable energy. Improving power forecasting	Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2023)	2023
A novel unsupervised approach based on the hidden features of deep denoising autoencoders for COVID-19 disease detection	EXPERT SYSTEMS WITH APPLICATIONS	2022
Exploiting probability density function of deep convolutional autoencoders’ latent space for reliable COVID-19 detection on CT scans	THE JOURNAL OF SUPERCOMPUTING	2022
AFAFed—Asynchronous Fair Adaptive Federated learning for IoT stream applications	COMPUTER COMMUNICATIONS	2022
CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites	Proceedings of 2022 International Joint Conference on Neural Networks (IJCNN)	2022
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling	IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS. SYSTEMS	2022
Deepfogsim: A toolbox for execution and performance evaluation of the inference phase of conditional deep neural networks with early exits atop distributed fog platforms	APPLIED SCIENCES	2021
A multimodal deep network for the reconstruction of T2W MR images	Progresses in Artificial Intelligence and Neural Systems	2021
Efficient data augmentation using graph imputation neural networks	Progresses in Artificial Intelligence and Neural Systems	2021
Quaternion widely linear forecasting of air quality	Progresses in Artificial Intelligence and Neural Systems	2021

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ERC

PE6_11
PE7_7

KET

Big data & computing

Interessi di ricerca

Keywords

audio

adaptive signal processing

complex nonlinear filters

energy aware machine learning

fog computing (FC)

Progetti di Ricerca

DeepFog-2: Optimized distributed implementation of Deep Learning models over networked multitier Fog platforms for IoT stream applications
Vehicular Fog for energy-efficient QoS mining and dissemination of multimedia Big Data streams 2 (V-Fog2)
End-to-End Learning for 3D Acoustic Scene Analysis (ELeSA)
SoFT-2: Fog of Social IoT

Gruppi di ricerca

ISPAMM - Intelligent Signal Processing and MulitiMedia