Event-driven debugging for distributed software. - Beatrice Lazzerini; Cosimo Antonio Prete (Microprocess. Microsystems, 1988)

A protocol for resource locking and deadlock detection in a multi-user environment. - Andrea Domenici; Beatrice Lazzerini; Cosimo Antonio Prete (Microprocessing and Microprogramming, 1989)

Effective VLSI processor architectures for HLL computers: the RISC approach. - Beatrice Lazzerini (IEEE Micro, 1989)

Abstraction Mechanisms for Event Control in Program Debugging. - Beatrice Lazzerini; Lanfranco Lopriore (IEEE Trans. Software Eng., 1989)

A Distributed Commit Protocol for a Multicomputer System. - Paolo Ancilotti; Beatrice Lazzerini; Cosimo Antonio Prete; Maurizio Sacchi (IEEE Trans. Computers, 1990)

Program debugging environments - design and utilization. - Beatrice Lazzerini; Lanfranco Lopriore (Ellis Horwood, 1992)

EL-SIM: a Development Environment for Neuro-Fuzzy Intelligent Controllers. - Marcello Chiaberge; G. Di Bene; S. Di Pascoli; R. Lambert; Beatrice Lazzerini; Adriana Maggiore; Leonardo Maria Reyneri (IWANN, 1995)

Reasonable Conclusions in Fuzzy Reasoning. - Beatrice Lazzerini; Francesco Marcelloni (ICTAI, 1996)

Beatrix: A self-learning system for off-line recognition of handwritten texts. - Beatrice Lazzerini; Francesco Marcelloni; Leonardo Maria Reyneri (Pattern Recognit. Lett., 1997)

A fuzzy classification based system for handwritten character recognition. - Graziano Frosini; Beatrice Lazzerini; Adriana Maggiore; Francesco Marcelloni (KES (3), 1998)

Linguistic modelling based on experimental data. - Beatrice Lazzerini; Adriana Maggiore (KES (2), 1998)

Performing automatic exams. - Graziano Frosini; Beatrice Lazzerini; Francesco Marcelloni (Comput. Educ., 1998)

Olfactory signal classification based on evolutionary computation. - Dumitru Dumitrescu; Beatrice Lazzerini; Francesco Marcelloni (IJCNN, 1999)

A new linguistic fuzzy approach to recognition of olfactory signals. - Beatrice Lazzerini; Adriana Maggiore; Francesco Marcelloni (IJCNN, 1999)

SNIFFER: an electronic nose. - Fabio Di Francesco; Beatrice Lazzerini; Francesco Marcelloni; Giovanni Pioggia (KES, 1999)

Neuro-fuzzy off-line recognition of handwritten sentences. - Beatrice Lazzerini; Francesco Marcelloni; Leonardo Maria Reyneri (KES, 2000)

A genetic algorithm for generating optimal assembly plans. - Beatrice Lazzerini; Francesco Marcelloni (Artif. Intell. Eng., 2000)

Some considerations on input and output partitions to produce meaningful conclusions in fuzzy inference. - Beatrice Lazzerini; Francesco Marcelloni (Fuzzy Sets Syst., 2000)

Reducing computation overhead in MISO fuzzy systems. - Beatrice Lazzerini; Francesco Marcelloni (Fuzzy Sets Syst., 2000)

A Fuzzy Hierarchical Classification System for Olfactory Signals. - D. Dumitrescu; Beatrice Lazzerini; Francesco Marcelloni (Pattern Anal. Appl., 2000)

A linguistic fuzzy recogniser of off-line handwritten characters. - Beatrice Lazzerini; Francesco Marcelloni (Pattern Recognit. Lett., 2000)

FROS: a fuzzy logic-based recogniser of olfactory signals. - Beatrice Lazzerini; Adriana Maggiore; Francesco Marcelloni (Pattern Recognit., 2001)

A fuzzy approach to 2D-shape recognition. - Beatrice Lazzerini; Francesco Marcelloni (IEEE Trans. Fuzzy Syst., 2001)

A fuzzy model for the retrieval of the sea water optically active constituents concentration from MERIS data. - Giovanni Corsini; Marco Diani; Raffaele Grasso; Beatrice Lazzerini; Francesco Marcelloni; Marco Cococcioni (IGARSS, 2002)

A system based on a modified version of the FCM algorithm for profiling web users from access log. - Paolo Corsini; Laura De Dosso; Beatrice Lazzerini; Francesco Marcelloni (EUSFLAT Conf., 2003)

An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils. - Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni (KES, 2003)

Relational clustering based on a dissimilarity relation extracted from data by a TS model. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni (SMC, 2003)

A system based on hierarchical fuzzy clustering for web users profiling. - Beatrice Lazzerini; Francesco Marcelloni; Marco Cococcioni (SMC, 2003)

Neural network-based calibration of positron emission tomograph detector modules. - Beatrice Lazzerini; Francesco Marcelloni; Giovanni Marola; Simone Galigani (ESANN, 2004)

Lung Nodule Detection in CT Scans. - Michela Antonelli; Graziano Frosini; Beatrice Lazzerini; Francesco Marcelloni (International Conference on Computational Intelligence, 2004)

On the Noise Distance in Robust Fuzzy C-Means. - Mario G. C. A. Cimino; Graziano Frosini; Beatrice Lazzerini; Francesco Marcelloni (International Conference on Computational Intelligence, 2004)

Approaching the ocean color problem using fuzzy rules. - Marco Cococcioni; Giovanni Corsini; Beatrice Lazzerini; Francesco Marcelloni (IEEE Trans. Syst. Man Cybern. Part B, 2004)

A fuzzy relational clustering algorithm based on a dissimilarity measure extracted from data. - Paolo Corsini; Beatrice Lazzerini; Francesco Marcelloni (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Automated Detection of Pulmonary Nodules in CT Scans. - Michela Antonelli; Graziano Frosini; Beatrice Lazzerini; Francesco Marcelloni (CIMCA/IAWTIC, 2005)

Segmentation and reconstruction of the lung volume in CT images. - Michela Antonelli; Beatrice Lazzerini; Francesco Marcelloni (SAC, 2005)

A General Framework for Food Traceability. - Alessio Bechini; Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni; Andrea Tomasi (SAINT Workshops, 2005)

Integrating service-oriented technologies to support business processes. - Alessio Botta; Beatrice Lazzerini; Francesco Marcelloni (CEC Workshops, 2005)

Cerere: an information system supporting traceability in the food supply chain. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni; Andrea Tomasi (CEC Workshops, 2005)

Identification of Takagi-Sugeno Fuzzy Systems Based on Multi-objective Genetic Algorithms. - Marco Cococcioni; Pierluigi Guasqui; Beatrice Lazzerini; Francesco Marcelloni (WILF, 2005)

A new fuzzy relational clustering algorithm based on the fuzzy C-means algorithm. - Paolo Corsini; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2005)

Context Adaptation of Mamdani Fuzzy Systems through New Operators Tuned by a Genetic Algorithm. - Alessio Botta; Beatrice Lazzerini; Francesco Marcelloni (FUZZ-IEEE, 2006)

Combining supervised and unsupervised learning for data clustering. - Paolo Corsini; Beatrice Lazzerini; Francesco Marcelloni (Neural Comput. Appl., 2006)

A novel approach to fuzzy clustering based on a dissimilarity relation extracted from data using a TS system. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni (Pattern Recognit., 2006)

A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization. - Marco Cococcioni; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (IEEE Congress on Evolutionary Computation, 2007)

Exploiting Fuzzy Ordering Relations to Preserve Interpretability in Context Adaptation of Fuzzy Systems. - Alessio Botta; Beatrice Lazzerini; Francesco Marcelloni; Dan C. Stefanescu (FUZZ-IEEE, 2007)

Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space. - Marco Cococcioni; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (FUZZ-IEEE, 2007)

Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans. - Michela Antonelli; Marco Cococcioni; Graziano Frosini; Beatrice Lazzerini; Francesco Marcelloni (KES (1), 2007)

Estimating the concentration of optically active constituents of sea water by Takagi-Sugeno models with quadratic rule consequents. - Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni (Pattern Recognit., 2007)

A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems. - Marco Cococcioni; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2007)

A Hierarchical Fuzzy Clustering-based System to Create User Profiles. - Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2007)

A Multi-Classifier System for Pulmonary Nodule Classification. - Michela Antonelli; Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni; Dan C. Stefanescu (CBMS, 2008)

Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. - Pietro Ducange; Rafael Alcalá; Francisco Herrera; Beatrice Lazzerini; Francesco Marcelloni (HAIS, 2008)

A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (HIS, 2008)

Fast Multiobjective Genetic Rule Learning Using an Efficient Method for Takagi-Sugeno Fuzzy Systems Identification. - Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni (HIS, 2008)

Complexity reduction of Mamdani Fuzzy Systems through multi-valued logic minimization. - Marco Cococcioni; Luca Foschini 002; Beatrice Lazzerini; Francesco Marcelloni (SMC, 2008)

Context adaptation of mamdani fuzzy rule based systems. - Alessio Botta; Beatrice Lazzerini; Francesco Marcelloni (Int. J. Intell. Syst., 2008)

Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems. - Marco Cococcioni; Giovanni Corsini; Beatrice Lazzerini; Francesco Marcelloni (Int. J. Knowl. Based Intell. Eng. Syst., 2008)

Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (IFSA/EUSFLAT Conf., 2009)

A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (HAIS, 2009)

Using BPMN and Tracing for Rapid Business Process Prototyping Environments. - Alessandro Ciaramella; Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni (ICEIS (3), 2009)

Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (ISDA, 2009)

Situation-Aware Mobile Service Recommendation with Fuzzy Logic and Semantic Web. - Alessandro Ciaramella; Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni (ISDA, 2009)

Automatic Diagnosis of Defects of Rolling Element Bearings Based on Computational Intelligence Techniques. - Marco Cococcioni; Beatrice Lazzerini; Sara Lioba Volpi (ISDA, 2009)

Rolling Element Bearing Fault Classification Using Soft Computing Techniques. - Beatrice Lazzerini; Marco Cococcioni; Sara Lioba Volpi (SMC, 2009)

Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Evol. Intell., 2009)

Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Int. J. Approx. Reason., 2009)

Using multilayer perceptrons as receptive fields in the design of neural networks. - Mario G. C. A. Cimino; Witold Pedrycz; Beatrice Lazzerini; Francesco Marcelloni (Neurocomputing, 2009)

Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index. - Alessio Botta; Beatrice Lazzerini; Francesco Marcelloni; Dan C. Stefanescu (Soft Comput., 2009)

A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems. - Rafael Alcalá; Pietro Ducange; Francisco Herrera; Beatrice Lazzerini; Francesco Marcelloni (IEEE Trans. Fuzzy Syst., 2009)

Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (FUZZ-IEEE, 2010)

Providing PRTools with fuzzy rule-based classifiers. - Marco Cococcioni; Eleonora D'Andrea; Beatrice Lazzerini (FUZZ-IEEE, 2010)

Rolling element bearing diagnosis using convex hull. - Sara Lioba Volpi; Marco Cococcioni; Beatrice Lazzerini; Dan C. Stefanescu (IJCNN, 2010)

Using context history to personalize a resource recommender via a genetic algorithm. - Alessandro Ciaramella; Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni (ISDA, 2010)

A multi-objective evolutionary approach to image quality/compression trade-off in JPEG baseline algorithm. - Beatrice Lazzerini; Francesco Marcelloni; Massimo Vecchio (Appl. Soft Comput., 2010)

A Situation-Aware Resource Recommender Based on Fuzzy and Semantic Web Rules. - Alessandro Ciaramella; Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010)

Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets. - Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2010)

Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (GEFS, 2011)

A collaborative situation-aware scheme for mobile service recommendation. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni; Giovanna Castellano; Anna Maria Fanelli; Maria Alessandra Torsello (ISDA, 2011)

24-hour-ahead forecasting of energy production in solar PV systems. - Marco Cococcioni; Eleonora D'Andrea; Beatrice Lazzerini (ISDA, 2011)

An intelligent system for detecting faults in photovoltaic fields. - Pietro Ducange; Michela Fazzolari; Beatrice Lazzerini; Francesco Marcelloni (ISDA, 2011)

Granular Data Regression with Neural Networks. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni; Witold Pedrycz (WILF, 2011)

On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems. - Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni (Appl. Soft Comput., 2011)

Computer-aided detection of lung nodules based on decision fusion techniques. - Michela Antonelli; Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni (Pattern Anal. Appl., 2011)

Analyzing Risk Impact Factors Using Extended Fuzzy Cognitive Maps. - Beatrice Lazzerini; Lusine Mkrtchyan (IEEE Syst. J., 2011)

Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2011)

Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2011)

Fuzzy forecasting of energy production in solar photovoltaic installations. - Eleonora D'Andrea; Beatrice Lazzerini (FUZZ-IEEE, 2012)

Computational intelligence techniques for solar photovoltaic system applications. - Eleonora D'Andrea; Beatrice Lazzerini (SustainIT, 2012)

Neural network-based forecasting of energy consumption due to electric lighting in office buildings. - Eleonora D'Andrea; Beatrice Lazzerini; S. L. del Rosario (SustainIT, 2012)

An adaptive rule-based approach for managing situation-awareness. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni; Alessandro Ciaramella (Expert Syst. Appl., 2012)

One day-ahead forecasting of energy production in solar photovoltaic installations: An empirical study. - Marco Cococcioni; Eleonora D'Andrea; Beatrice Lazzerini (Intell. Decis. Technol., 2012)

Efficient energy dispatching in smart microgrids using an integration of fuzzy AHP and TOPSIS assisted by linear programming. - Beatrice Lazzerini; Francesco Pistolesi (EUSFLAT Conf., 2013)

Urban and social sensing for sustainable mobility in smart cities. - Giuseppe Anastasi; Michela Antonelli; Alessio Bechini; Simone Brienza; Eleonora D'Andrea; Domenico De Guglielmo; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni; Armando Segatori (SustainIT, 2013)

HFRBC-GA: A fuzzy classifier for energy systems applications. - Eleonora D'Andrea; Beatrice Lazzerini (SustainIT, 2013)

A hierarchical approach to multi-class fuzzy classifiers. - Eleonora D'Andrea; Beatrice Lazzerini (Expert Syst. Appl., 2013)

Profiling risk sensibility through association rules. - Beatrice Lazzerini; Francesco Pistolesi (Expert Syst. Appl., 2013)

An integrated approach based on business process modeling and fuzzy logic for risk identification and evaluation in production processes. - Elena Bernasconi; Franco Filippi; Beatrice Lazzerini; Benedetta Niccolini; Gianluca Petronella (Intell. Decis. Technol., 2013)

A collaborative situation-aware scheme based on an emergent paradigm for mobile resource recommenders. - Giovanna Castellano; Mario G. C. A. Cimino; Anna Maria Fanelli; Beatrice Lazzerini; Francesco Marcelloni; Maria Alessandra Torsello (J. Ambient Intell. Humaniz. Comput., 2013)

Classifier ensembles to improve the robustness to noise of bearing fault diagnosis. - Beatrice Lazzerini; Sara Lioba Volpi (Pattern Anal. Appl., 2013)

Robust Diagnosis of Rolling Element Bearings Based on Classification Techniques. - Marco Cococcioni; Beatrice Lazzerini; Sara Lioba Volpi (IEEE Trans. Ind. Informatics, 2013)

Classifying Workers into Risk Sensibility Profiles: A Neural Network Approach. - Beatrice Lazzerini; Francesco Pistolesi (EMS, 2014)

A multi-agent system for enabling collaborative situation awareness via position-based stigmergy and neuro-fuzzy learning. - Giovanna Castellano; Mario G. C. A. Cimino; Anna Maria Fanelli; Beatrice Lazzerini; Francesco Marcelloni; Maria Alessandra Torsello (Neurocomputing, 2014)

Genetic interval neural networks for granular data regression. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni; Witold Pedrycz (Inf. Sci., 2014)

Determining the composition of bronze alloys by means of high-dimensional feature selection and Artificial Neural Networks. - Eleonora D'Andrea; Beatrice Lazzerini; Vincenzo Palleschi; Stefano Pagnotta (I2MTC, 2015)

Real-Time Detection of Traffic From Twitter Stream Analysis. - Eleonora D'Andrea; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (IEEE Trans. Intell. Transp. Syst., 2015)

A semi-supervised learning-aided evolutionary approach to occupational safety improvement. - Marco Cococcioni; Beatrice Lazzerini; Francesco Pistolesi (CEC, 2016)

An ensemble of learning machines for quantitative analysis of bronze alloys. - Eleonora D'Andrea; Beatrice Lazzerini (IECON, 2016)

Human factors-based many-objective personnel recruitment for safety-critical work environments. - Beatrice Lazzerini; Francesco Pistolesi (IECON, 2016)

Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS. - Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni; Francesco Pistolesi (SAC, 2016)

Path Clustering Based on a Novel Dissimilarity Function for Ride-Sharing Recommenders. - Eleonora D'Andrea; David Di Lorenzo; Beatrice Lazzerini; Francesco Marcelloni; Fabio Schoen (SMARTCOMP, 2016)

Combining Multiple Neural Networks to Predict Bronze Alloy Elemental Composition. - Eleonora D'Andrea; Beatrice Lazzerini; Vincenzo Palleschi (Advances in Neural Networks, 2016)

Physical activity recognition from sub-bandage sensors using both feature selection and extraction. - Eleonora D'Andrea; Fabio Di Francesco; Valentina Dini; Beatrice Lazzerini; Marco Romanelli 001; Pietro Salvo (ESANN, 2017)

Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety. - Beatrice Lazzerini; Francesco Pistolesi (MOD, 2017)

UHF-RFID smart gate: Tag action classifier by artificial neural networks. - Alice Buffi; Eleonora D'Andrea; Beatrice Lazzerini; Paolo Nepa (RFID-TA, 2017)

A Neural System for Faithful Color Reproduction in Industrial Printing Processes. - Beatrice Lazzerini; Francesco Pistolesi (IJCNN, 2018)

An Integrated Optimization System for Safe Job Assignment Based on Human Factors and Behavior. - Beatrice Lazzerini; Francesco Pistolesi (IEEE Syst. J., 2018)

EMOGA: A Hybrid Genetic Algorithm With Extremal Optimization Core for Multiobjective Disassembly Line Balancing. - Francesco Pistolesi; Beatrice Lazzerini; Michela Dalle Mura; Gino Dini (IEEE Trans. Ind. Informatics, 2018)

Multiobjective Personnel Assignment Exploiting Workers' Sensitivity to Risk. - Beatrice Lazzerini; Francesco Pistolesi (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Event Detection from Video Using Answer Set Programing. - Abdullah Khan; Luciano Serafini; Loris Bozzato; Beatrice Lazzerini (CILC, 2019)

Visual Reasoning on Complex Events in Soccer Videos Using Answer Set Programming. - Abdullah Khan; Loris Bozzato; Luciano Serafini; Beatrice Lazzerini (GCAI, 2019)

TeMA: A Tensorial Memetic Algorithm for Many-Objective Parallel Disassembly Sequence Planning in Product Refurbishment. - Francesco Pistolesi; Beatrice Lazzerini (IEEE Trans. Ind. Informatics, 2019)

A neural classifier to evaluate the role of image resolution in the perception of color differences. - Beatrice Lazzerini; Francesco Pistolesi (IJCNN, 2020)

A System for Multi-Passenger Urban Ridesharing Recommendations with Ordered Multiple Stops. - Eleonora D'Andrea; Beatrice Lazzerini; Francesco Marcelloni (Comput. J., 2020)

Assessing the Risk of Low Back Pain and Injury via Inertial and Barometric Sensors. - Francesco Pistolesi; Beatrice Lazzerini (IEEE Trans. Ind. Informatics, 2020)

End-of-life product disassembly with priority-based extraction of dangerous parts. - Michela Dalle Mura; Francesco Pistolesi; Gino Dini; Beatrice Lazzerini (J. Intell. Manuf., 2021)

Detecting happiness from 14-channel binary-valued EEG charts via deep learning. - Michele Baldassini; Francesco Pistolesi; Beatrice Lazzerini (ISM, 2022)

A smartphone app to collect emotion-labeled signals in the wild using a body sensor network. - Francesco Pistolesi; Michele Baldassini; Beatrice Lazzerini (ISM, 2022)

Speech-Based Detection of In-Car Escalating Arguments to Prevent Distracted Driving. - Francesco Pistolesi; Michele Baldassini; Beatrice Lazzerini (IEEE Big Data, 2023)

Guest Editorial: AI for Efficiency and Sustainability in Assembly/Disassembly Industrial Processes. - Francesco Pistolesi; Beatrice Lazzerini (IEEE Trans. Ind. Informatics, 2023)

Are You Sitting With Good Posture? Tracking the Position of the Legs via 2-D LiDAR. - Francesco Pistolesi; Michele Baldassini; Beatrice Lazzerini (IEEE Embed. Syst. Lett., 2023)

Elicitation of Anxiety Without Time Pressure and Its Detection Using Physiological Signals and Artificial Intelligence: A Proof of Concept. - Antonio Di Tecco; Francesco Pistolesi; Beatrice Lazzerini (IEEE Access, 2024)

A human-centric system combining smartwatch and LiDAR data to assess the risk of musculoskeletal disorders and improve ergonomics of Industry 5.0 manufacturing workers. - Francesco Pistolesi; Michele Baldassini; Beatrice Lazzerini (Comput. Ind., 2024)

A LiDAR-Based Recommendation System to Improve Sitting Posture Respecting Privacy. - Francesco Pistolesi; Michele Baldassini; Beatrice Lazzerini (IEEE J. Biomed. Health Informatics, 2024)