Alessandra Micheletti
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View article: GENEOnet: a breakthrough in protein binding pocket detection using group equivariant non-expansive operators
GENEOnet: a breakthrough in protein binding pocket detection using group equivariant non-expansive operators Open
Structure-based virtual screening approaches like molecular docking rely on accurately identifying and precisely calculating binding pockets to efficiently search for potential ligands. In this paper, we introduce GENEOnet, a machine learn…
View article: GENEOnet: statistical analysis supporting explainability and trustworthiness
GENEOnet: statistical analysis supporting explainability and trustworthiness Open
Group Equivariant Non-Expansive Operators (GENEOs) have emerged as mathematical tools for constructing networks for Machine Learning and Artificial Intelligence. Recent findings suggest that such models can be inserted within the domain of…
View article: Enhancing Power Grid Inspections with Machine Learning
Enhancing Power Grid Inspections with Machine Learning Open
Ensuring the safety and reliability of power grids is critical as global energy demands continue to rise. Traditional inspection methods, such as manual observations or helicopter surveys, are resource-intensive and lack scalability. This …
View article: TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System
TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System Open
Research on supervised learning algorithms in 3D scene understanding has risen in prominence and witness great increases in performance across several datasets. The leading force of this research is the problem of autonomous driving follow…
View article: Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach
Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach Open
Regularizing Deep Neural Networks (DNNs) is essential for improving generalizability and preventing overfitting. Fixed penalty methods, though common, lack adaptability and suffer from hyperparameter sensitivity. In this paper, we propose …
View article: Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data
Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data Open
We propose a shape fitting/registration method based on a Gaussian processes formulation, suitable for shapes with extensive regions of missing data. Gaussian processes are a proven powerful tool, as they provide a unified setting for shap…
View article: Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification Open
Research in 3D semantic segmentation has been increasing performance metrics, like the IoU, by scaling model complexity and computational resources, leaving behind researchers and practitioners that (1) cannot access the necessary resource…
View article: A new paradigm for artificial intelligence based on group equivariant non-expansive operators
A new paradigm for artificial intelligence based on group equivariant non-expansive operators Open
The recent frantic surge of machine learning and, more broadly, of artificial intelligence (AI) brings to light old and new open issues, and among them, the so-called eXplainable artificial intelligence (XAI) – AI that humans can understan…
View article: Pandemic Data Quality Modelling: A Bayesian Approach
Pandemic Data Quality Modelling: A Bayesian Approach Open
When pandemics like COVID-19 spread around the world, the rapidly evolving situation compels officials and executives to take prompt decisions and adapt policies depending on the current state of the disease. In this context, it is crucial…
View article: Hexagonal Voronoi pattern detected in the microstructural design of the echinoid skeleton
Hexagonal Voronoi pattern detected in the microstructural design of the echinoid skeleton Open
Repeated polygonal patterns are pervasive in natural forms and structures. These patterns provide inherent structural stability while optimizing strength-per-weight and minimizing construction costs. In echinoids (sea urchins), a visible r…
View article: Group pattern detection of longitudinal data using functional statistics
Group pattern detection of longitudinal data using functional statistics Open
Estimations and evaluations of the main patterns of time series data in groups benefit large amounts of applications in various fields. Different from the classical auto-correlation time series analysis and the modern neural networks techn…
View article: Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data Open
We propose a shape fitting/registration method based on a Gaussian Processes formulation, suitable for shapes with extensive regions of missing data. Gaussian Processes are a proven powerful tool, as they provide a unified setting for shap…
View article: A Heavily Trained Time-Dependent SIRD Model for Local Covid-19 Data in Italy
A Heavily Trained Time-Dependent SIRD Model for Local Covid-19 Data in Italy Open
We present a time-dependent SIRD model for the spread of COVID-19 infection at a provincial (i.e. EU NUTS-3) level in Italy, using official data from the Italian Ministry of Health, integrated with data extracted from daily official press …
View article: GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection
GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection Open
Nowadays there is a big spotlight cast on the development of techniques of explainable machine learning. Here we introduce a new computational paradigm based on Group Equivariant Non-Expansive Operators, that can be regarded as the product…
View article: Distributed fixed point method for solving systems of linear algebraic equations
Distributed fixed point method for solving systems of linear algebraic equations Open
We present a class of iterative fully distributed fixed point methods to solve a system of linear equations, such that each agent in the network holds one of the equations of the system. Under a generic directed, strongly connected network…
View article: Modeling Provincial Covid-19 Epidemic Data Using an Adjusted Time-Dependent SIRD Model
Modeling Provincial Covid-19 Epidemic Data Using an Adjusted Time-Dependent SIRD Model Open
In this paper, we develop a forecasting model for the spread of COVID-19 infection at a provincial (i.e., EU NUTS-3) level in Italy by using official data from the Italian Ministry of Health integrated with data extracted from daily offici…
View article: Are Epidemiological Estimates Able to Describe the Ability of Health Systems to Cope with COVID-19 Epidemic?
Are Epidemiological Estimates Able to Describe the Ability of Health Systems to Cope with COVID-19 Epidemic? Open
The key to facing epidemics like this one consists in identifying solutions outside of hospitals. This however requires there be well-trained general practitioners and enough healthcare personnel working outside hospitals.
View article: Emotion pattern detection on facial videos using functional statistics
Emotion pattern detection on facial videos using functional statistics Open
There is an increasing scientific interest in automatically analysing and understanding human behavior, with particular reference to the evolution of facial expressions and the recognition of the corresponding emotions. In this paper we pr…
View article: CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region
CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region Open
The first case of Coronavirus Disease 2019 in Italy was detected on February the 20 th in Lombardy region. Since that date, Lombardy has been the most affected Italian region by the epidemic, and its healthcare system underwent a severe ov…
View article: Unsupervised Pipeline
Unsupervised Pipeline Open
Project E!11439
View article: From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline
From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline Open
Ears are a particularly difficult region of the human face to model, not only due to the non-rigid deformations existing between shapes but also to the challenges in processing the retrieved data. The first step towards obtaining a good mo…
View article: Organization Vs. Strategy Towards Rethinking Management for Trajectories of Resilience in World Pandemic Post-Crisis
Organization Vs. Strategy Towards Rethinking Management for Trajectories of Resilience in World Pandemic Post-Crisis Open
The recent history of organizational modelling shows a dominant position of strategy on organization with a weakening of the former in front of growing global complexity and change all over the world. In recent years we have seen organizat…
View article: CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region
CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region Open
The first case of Coronavirus Disease 2019 in Italy was detected on February the 20 th in Lombardy region. Since that date, Lombardy has been the most affected Italian region by the epidemic, and its healthcare system underwent a severe ov…