Giovanni Iacca

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Associate Professor

University of Trento

Italy

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About

Giovanni Iacca is an Associate Professor at the University of Trento, Italy. His research focuses on explainable artificial intelligence, evolutionary computation, and applications in computational biology. He has published recent articles on topics such as federated learning, clustering methods in design domains, and the use of neural networks for image segmentation and localization microscopy.

Recent Grants

Grant: Close

Exploring the Unknown through Reincarnation and Co-evolution

Open Date: 2015-10-01

Close Date: 2019-09-30

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Collaborators (9)

Floriano De Rango

Associate Prof.

University of Calabria

ITALY

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Luca Marchetti

Assistant Professor

University of Trento

ITALY

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Libertario Demi

Associate Professor

University of Trento

ITALY

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Anil Yaman

University of Amsterdam

NETHERLANDS

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Ali Hassan

Senior Lecturer

Hogskolan Kristianstad

SWEDEN

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Sajjad Afrakhteh

Eindhoven University of Technology

NETHERLANDS

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Antonio Della Cioppa

Associate Professor

University of Salerno

ITALY

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Jaume Bacardit

Professor of Artificial Intelligence

Newcastle University

UNITED KINGDOM

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Eric Medvet

Associate professor

University of Trieste

ITALY

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Giovanni Iacca

Research Interests

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About

Recent Grants

Articles (20)

Model-Free-Communication Federated Neuroevolution

Introduction to the Special Issue on Explainable AI in Evolutionary Computation—Part 2

Proximity-Aware Federated Learning for Symbiotic Task Offloading in Vehicular Edge Intelligence

Quality–diversity optimization of decision trees for interpretable reinforcement learning

A customer behavior-driven clustering method in the planogram design domain

Totipotent neural controllers for modular soft robots: Achieving specialization in body–brain co-evolution through Hebbian learning

Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation

Automatic segmentation of 2D echocardiography ultrasound images by means of generative adversarial network

Robust parameter estimation and identifiability analysis with hybrid neural ordinary differential equations in computational biology

A co-evolutionary algorithm with adaptive penalty function for constrained optimization

Evolving Hebbian Learning Rules in Voxel-Based Soft Robots

Increasing frame rate of echocardiography based on a novel 2D spatio-temporal meshless interpolation

High Frame Rate Ultrasound Imaging by Means of Tensor Completion: Application to Echocardiography

Online distributed evolutionary optimization of Time Division Multiple Access protocols

A population-based approach for multi-agent interpretable reinforcement learning

A single-solution–compact hybrid algorithm for continuous optimization

Increasing frame rate of echocardiography based on a novel 2D spatio-temporal meshless interpolation

Evolutionary neural architecture search on transformers for RUL prediction

Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees

Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees

Collaborators (9)

Floriano De Rango

Luca Marchetti

Libertario Demi

Anil Yaman

Ali Hassan

Sajjad Afrakhteh

Antonio Della Cioppa

Jaume Bacardit

Eric Medvet

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