An adaptive system for automatic invoice-documents classification. - Cesare Alippi; F. Pessina; Manuel Roveri (ICIP (2), 2005)

Visual inspection of particle boards for quality assessment. - Vincenzo Piuri; Fabio Scotti; Manuel Roveri (ICIP (3), 2005)

What planner for ambient intelligence applications? - Francesco Amigoni; Nicola Gatti 001; C. Pinciroli; Manuel Roveri (IEEE Trans. Syst. Man Cybern. Part A, 2005)

A computational intelligence-based criterion to detect non-stationarity trends. - Cesare Alippi; Manuel Roveri (IJCNN, 2006)

An adaptive CUSUM-based test for signal change detection. - Cesare Alippi; Manuel Roveri (ISCAS, 2006)

Adaptive Classifiers in Stationary Conditions. - Cesare Alippi; Manuel Roveri (IJCNN, 2007)

Just-in-time Adaptive Classifiers in Non-Stationary Conditions. - Cesare Alippi; Manuel Roveri (IJCNN, 2007)

Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications. - Cesare Alippi; Giuseppe Anastasi; Cristian Galperti; Francesca Mancini; Manuel Roveri (MASS, 2007)

A Hierarchical LLC Routing Algorithm for WSNs. - Cesare Alippi; Romolo Camplani; Manuel Roveri (ROSE, 2007)

k-NN classifiers: Investigating the k=k(n) relationship. - Cesare Alippi; M. Fuhrman; Manuel Roveri (IJCNN, 2008)

Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes. - Cesare Alippi; Manuel Roveri (IEEE Trans. Neural Networks, 2008)

Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier. - Cesare Alippi; Manuel Roveri (IEEE Trans. Neural Networks, 2008)

Just in time classifiers: Managing the slow drift case. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2009)

Detecting drops on lens in wireless multimedia sensor network nodes. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (ROSE, 2009)

A virtual machine for energy management in WSNs. - Cesare Alippi; Romolo Camplani; Manuel Roveri (ROSE, 2009)

An Adaptive LLC-Based and Hierarchical Power-Aware Routing Algorithm. - Cesare Alippi; Romolo Camplani; Manuel Roveri (IEEE Trans. Instrum. Meas., 2009)

Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (ICANN (2), 2010)

Change detection tests using the ICI rule. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2010)

Virtual k-fold cross validation: An effective method for accuracy assessment. - Cesare Alippi; Manuel Roveri (IJCNN, 2010)

An hybrid wireless-wired monitoring system for real-time rock collapse forecasting. - Cesare Alippi; Romolo Camplani; Cristian Galperti; Antonio Marullo; Manuel Roveri (MASS, 2010)

An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors. - Cesare Alippi; Giuseppe Anastasi; Mario Di Francesco; Manuel Roveri (IEEE Trans. Instrum. Meas., 2010)

Detecting External Disturbances on the Camera Lens in Wireless Multimedia Sensor Networks. - Cesare Alippi; Giacomo Boracchi; Romolo Camplani; Manuel Roveri (IEEE Trans. Instrum. Meas., 2010)

A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (ICANN (2), 2011)

An effective just-in-time adaptive classifier for gradual concept drifts. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2011)

A hierarchical, nonparametric, sequential change-detection test. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2011)

A just-in-time adaptive classification system based on the intersection of confidence intervals rule. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (Neural Networks, 2011)

A "Learning from Models" Cognitive Fault Diagnosis System. - Cesare Alippi; Manuel Roveri; Francesco Trovò (ICANN (2), 2012)

Just-in-time ensemble of classifiers. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2012)

On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IJCNN, 2012)

An HMM-based change detection method for intelligent embedded sensors. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (IJCNN, 2012)

Netbrick: A high-performance, low-power hardware platform for wireless and hybrid sensor networks. - Cesare Alippi; Romolo Camplani; Manuel Roveri; Gabriele Viscardi (MASS, 2012)

Identifying network failure via detecting changes in power profile. - Toktam Mahmoodi; Manuel Roveri (PerCom Workshops, 2012)

Wireless Sensor Networks for Monitoring Vineyards. - Cesare Alippi; Giacomo Boracchi; Romolo Camplani; Manuel Roveri (ArtDeco, 2012)

A Hierarchy of Change-Point Methods for Estimating the Time Instant of Leakages in Water Distribution Networks. - Giacomo Boracchi; Vicenç Puig; Manuel Roveri (AIAI, 2013)

Model ensemble for an effective on-line reconstruction of missing data in sensor networks. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (IJCNN, 2013)

Temporal/spatial model-based fault diagnosis vs. Hidden Markov models change detection method: Application to the Barcelona water network. - Joseba Quevedo; Cesare Alippi; Miquel Àngel Cugueró; Stavros Ntalampiras; Vicenç Puig; Manuel Roveri; Diego García (MED, 2013)

A learning-based algorithm for optimal mac parameters setting in IEEE 802.15.4 wireless sensor networks. - Simone Brienza; Domenico De Guglielmo; Cesare Alippi; Giuseppe Anastasi; Manuel Roveri (PE-WASUN, 2013)

Ensembles of change-point methods to estimate the change point in residual sequences. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (Soft Comput., 2013)

Just-In-Time Classifiers for Recurrent Concepts. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IEEE Trans. Neural Networks Learn. Syst., 2013)

A Cognitive Fault Diagnosis System for Distributed Sensor Networks. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (IEEE Trans. Neural Networks Learn. Syst., 2013)

A high-frequency sampling monitoring system for environmental and structural applications. - Cesare Alippi; Romolo Camplani; Cristian Galperti; Antonio Marullo; Manuel Roveri (ACM Trans. Sens. Networks, 2013)

A reconfigurable and element-wise ICI-based change-detection test for streaming data. - Giacomo Boracchi; Manuel Roveri (CIVEMSA, 2014)

Learning causal dependencies to etect and diagnose faults in sensor networks. - Cesare Alippi; Manuel Roveri; Francesco Trovò (IES, 2014)

An Ensemble of HMMs for Cognitive Fault Detection in Distributed Sensor Networks. - Manuel Roveri; Francesco Trovò (AIAI, 2014)

A cognitive monitoring system for contaminant detection in intelligent buildings. - Giacomo Boracchi; Michalis Michaelides; Manuel Roveri (IJCNN, 2014)

Exploiting self-similarity for change detection. - Giacomo Boracchi; Manuel Roveri (IJCNN, 2014)

GINGER: a minimizing-effects reprogramming paradigm for distributed sensor networks. - Anna Antola; A. Lorenzo Mezzalira; Manuel Roveri (ROSE, 2014)

A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks. - Cesare Alippi; Manuel Roveri; Francesco Trovò (IEEE Trans. Neural Networks Learn. Syst., 2014)

Sensors and Wireless Sensor Networks as Data Sources: Models and Languages. - Fabio Alberto Schreiber; Manuel Roveri (Data Management in Pervasive Systems, 2015)

Exploratory Computing: What is there for the Database Researcher? - Marcello Buoncristiano; Giansalvatore Mecca; Elisa Quintarelli; Manuel Roveri; Donatello Santoro; Letizia Tanca (SEBD, 2015)

Detecting Contaminants in Smart Buildings by Exploiting Temporal and Spatial Correlation. - Giacomo Boracchi; Michalis Michaelides; Manuel Roveri (SSCI, 2015)

Learning in Nonstationary Environments: A Survey. - Gregory Ditzler; Manuel Roveri; Cesare Alippi; Robi Polikar (IEEE Comput. Intell. Mag., 2015)

Database Challenges for Exploratory Computing. - Marcello Buoncristiano; Giansalvatore Mecca; Elisa Quintarelli; Manuel Roveri; Donatello Santoro; Letizia Tanca (SIGMOD Rec., 2015)

Algorithms and Tools for Intelligent Monitoring of Critical Infrastructure Systems. - Cesare Alippi; Romolo Camplani; Antonio Marullo; Manuel Roveri (Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems, 2015)

Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss. - Cesare Alippi; Giacomo Boracchi; Diego Carrera; Manuel Roveri (IJCAI, 2016)

Online model-free sensor fault identification and dictionary learning in Cyber-Physical Systems. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (IJCNN, 2016)

Designing HMMs in the Age of Big Data. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (INNS Conference on Big Data, 2016)

A CPM-Based Change Detection Test for Big Data. - Giada Tacconelli; Manuel Roveri (INNS Conference on Big Data, 2016)

An incremental learning mechanism for human activity recognition. - Stavros Ntalampiras; Manuel Roveri (SSCI, 2016)

A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things. - Cesare Alippi; Romano Fantacci; Dania Marabissi; Manuel Roveri (IEEE Commun. Mag., 2016)

A Reprogrammable and Intelligent Monitoring System for Rock-Collapse Forecasting. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IEEE Syst. J., 2016)

Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs. - Simone Brienza; Manuel Roveri; Domenico De Guglielmo; Giuseppe Anastasi (ACM Trans. Auton. Adapt. Syst., 2016)

RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization. - Cesare Alippi; Maurizio Bocca; Giacomo Boracchi; Neal Patwari; Manuel Roveri (IEEE Trans. Mob. Comput., 2016)

Making Intelligent the Embedded Systems Through Cognitive Outlier and Fault Detection. - Manuel Roveri; Francesco Trovò (Advances in Neural Networks, 2016)

Learning in Nonstationary Environments: A Hybrid Approach. - Cesare Alippi; Wen Qi; Manuel Roveri (ICAISC (2), 2017)

Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation. - Cesare Alippi; Viviana D'Alto; Mirko Falchetto; Danilo Pau; Manuel Roveri (IJCNN, 2017)

A lightweight and energy-efficient Internet-of-birds tracking system. - Cesare Alippi; Roberto Ambrosini; Violetta Longoni; Dario Cogliati; Manuel Roveri (PerCom, 2017)

A spectrum-based adaptive sampling algorithm for smart sensing. - Ilaria Scarabottolo; Cesare Alippi; Manuel Roveri (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Capacity Planning of Fog Computing Infrastructures for Smart Monitoring. - Riccardo Pinciroli; Marco Gribaudo; Manuel Roveri; Giuseppe Serazzi (InfQ@VALUETOOLS, 2017)

The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework. - Cesare Alippi; Manuel Roveri (Computer, 2017)

An Ensemble Approach for Cognitive Fault Detection and Isolation in Sensor Networks. - Manuel Roveri; Francesco Trovò (Int. J. Neural Syst., 2017)

Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems. - Cesare Alippi; Stavros Ntalampiras; Manuel Roveri (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Hierarchical Change-Detection Tests. - Cesare Alippi; Giacomo Boracchi; Manuel Roveri (IEEE Trans. Neural Networks Learn. Syst., 2017)

Intelligent Cyber-Physical Systems for Industry 4.0. - Dario Cogliati; Mirko Falchetto; Danilo Pau; Manuel Roveri; Gabriele Viscardi (AI4I, 2018)

Reducing the Computation Load of Convolutional Neural Networks through Gate Classification. - Simone Disabato; Manuel Roveri (IJCNN, 2018)

Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case. - Cesare Alippi; Simone Disabato; Manuel Roveri (IPSN, 2018)

A Cognitive Monitoring System for Detecting and Isolating Contaminants and Faults in Intelligent Buildings. - Giacomo Boracchi; Michalis P. Michaelides; Manuel Roveri (IEEE Trans. Syst. Man Cybern. Syst., 2018)

An Improved Hilbert-Huang Transform for Non-linear and Time-Variant Signals. - Cesare Alippi; Wen Qi; Manuel Roveri (Multidisciplinary Approaches to Neural Computing, 2018)

Learning Convolutional Neural Networks in presence of Concept Drift. - Simone Disabato; Manuel Roveri (IJCNN, 2019)

INDIANA: An interactive system for assisting database exploration. - Antonio Giuzio; Giansalvatore Mecca; Elisa Quintarelli; Manuel Roveri; Donatello Santoro; Letizia Tanca (Inf. Syst., 2019)

False Data Detection for Fog and Internet of Things Networks. - Romano Fantacci; Francesca Nizzi; Tommaso Pecorella; Laura Pierucci; Manuel Roveri (Sensors, 2019)

Learning Discrete-Time Markov Chains Under Concept Drift. - Manuel Roveri (IEEE Trans. Neural Networks Learn. Syst., 2019)

Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning. - Giuseppe Canonaco; Marcello Restelli; Manuel Roveri (ECAI, 2020)

Corrosion Prediction in Oil and Gas Pipelines: a Machine Learning Approach. - Giuseppe Canonaco; Manuel Roveri; Cesare Alippi; Fabrizio Podenzani; Antonio Bennardo; Marco Conti; Nicola Mancini (I2MTC, 2020)

A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service. - Simone Disabato; Alessandro Falcetta; Alessio Mongelluzzo; Manuel Roveri (IJCNN, 2020)

A Computational Intelligence Characterization of Solar Magnetograms. - Julio J. Valdés; Ljubomir Nikolic; Simone Disabato; Manuel Roveri (IJCNN, 2020)

Prototyping and Metrological Characterization of a Data Acquisition and Processing System Based on Edge Computing. - Giuseppe Lorenzini; Fabio Conti; Giovanni Raffaele Maria Parenti; Diego Scaccabarozzi; Manuel Roveri; Marco Tarabini (MetroInd4.0&IoT, 2020)

Incremental On-Device Tiny Machine Learning. - Simone Disabato; Manuel Roveri (AIChallengeIoT@SenSys, 2020)

An energy harvesting solution for computation offloading in Fog Computing networks. - Arash Bozorgchenani; Simone Disabato; Daniele Tarchi; Manuel Roveri (Comput. Commun., 2020)

Time-Variant Variational Transfer for Value Functions. - Giuseppe Canonaco; Andrea Soprani; Manuel Roveri; Marcello Restelli (CoRR, 2020)

Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning. - Jing-Hao Xue; Zhanyu Ma; Manuel Roveri; Nathalie Japkowicz (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Machine-Learning Approach for the Prediction of Internal Corrosion in Pipeline Infrastructures. - Giuseppe Canonaco; Manuel Roveri; Cesare Alippi; Fabrizio Podenzani; Antonio Bennardo; Marco Conti; Nicola Mancini (I2MTC, 2021)

Adaptive Federated Learning in Presence of Concept Drift. - Giuseppe Canonaco; Alex Bergamasco; Alessio Mongelluzzo; Manuel Roveri (IJCNN, 2021)

RECKOn: a REal-world, Context-aware KnOwledge-based lab (Discussion Paper). - Patrizia Agnello; Silvia Maria Ansaldi; Emilia Lenzi; Alessio Mongelluzzo; Davide Piantella; Manuel Roveri; Fabio Alberto Schreiber; Alessandra Scutti; Mahsa Shekari; Letizia Tanca (SEBD, 2021)

RECKONition: a NLP-based system for Industrial Accidents at Work Prevention (Discussion Paper). - Patrizia Agnello; Silvia Maria Ansaldi; Emilia Lenzi; Alessio Mongelluzzo; Manuel Roveri (SEBD, 2021)

Birdsong Detection at the Edge with Deep Learning. - Simone Disabato; Giuseppe Canonaco; Paul G. Flikkema; Manuel Roveri; Cesare Alippi (SMARTCOMP, 2021)

Time-variant variational transfer for value functions. - Giuseppe Canonaco; Andrea Soprani; Matteo Giuliani; Andrea Castelletti; Manuel Roveri; Marcello Restelli (UAI, 2021)

RECKONition: a NLP-based system for Industrial Accidents at Work Prevention. - Patrizia Agnello; Silvia Maria Ansaldi; Emilia Lenzi; Alessio Mongelluzzo; Manuel Roveri (CoRR, 2021)

Distributed Deep Convolutional Neural Networks for the Internet-of-Things. - Simone Disabato; Manuel Roveri; Cesare Alippi (IEEE Trans. Computers, 2021)

T4C: A Framework for Time-Series Clustering-as-a-Service. - Alessandro Falcetta; Manuel Roveri (CPS Summer School, PhD Workshop, 2022)

On-device Subject Recognition in UWB-radar Data with Tiny Machine Learning. - Massimo Pavan; Armando Caltabiano; Manuel Roveri (CPS Summer School, PhD Workshop, 2022)

Privacy-preserving time series prediction with temporal convolutional neural networks. - Alessandro Falcetta; Manuel Roveri (IJCNN, 2022)

TinyML for UWB-radar based presence detection. - Massimo Pavan; Armando Caltabiano; Manuel Roveri (IJCNN, 2022)

CNAS: Constrained Neural Architecture Search. - Matteo Gambella; Alessandro Falcetta; Manuel Roveri (SMC, 2022)

A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. - Kleanthis Malialis; Manuel Roveri; Cesare Alippi; Christos G. Panayiotou; Marios M. Polycarpou (SSCI, 2022)

A transfer-learning approach for corrosion prediction in pipeline infrastructures. - Giuseppe Canonaco; Manuel Roveri; Cesare Alippi; Fabrizio Podenzani; Antonio Bennardo; Marco Conti; Nicola Mancini (Appl. Intell., 2022)

Privacy-Preserving Deep Learning With Homomorphic Encryption: An Introduction. - Alessandro Falcetta; Manuel Roveri (IEEE Comput. Intell. Mag., 2022)

Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models. - Adrià Soldevila; Giacomo Boracchi; Manuel Roveri; Sebastian Tornil-Sin; Vicenç Puig (Neural Comput. Appl., 2022)

Guest Editorial: Computational Intelligence for Human-in-the-Loop Cyber Physical Systems. - Alireza Jolfaei; Muhammad Usman 001; Manuel Roveri; Michael Sheng 001; Marimuthu Palaniswami; Krishna Kant 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment. - Luca Colombo; Alessandro Falcetta; Manuel Roveri (AIMLSystems, 2023)

Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting. - Yichong Chen; Manuel Roveri; Shreshth Tuli; Giuliano Casale (CNSM, 2023)

To Personalize or Not To Personalize? Soft Personalization and the Ethics of ML for Health. - Alessandro Falcetta; Massimo Pavan; Stefano Canali; Viola Schiaffonati; Manuel Roveri (DSAA, 2023)

EDANAS: Adaptive Neural Architecture Search for Early Exit Neural Networks. - Matteo Gambella; Manuel Roveri (IJCNN, 2023)

Unveiling the Potential of Tiny Machine Learning for Enhanced People Counting in UWB Radar Data. - Massimo Pavan; Luis González Navarro; Armando Caltabiano; Manuel Roveri (PKDD/ECML Workshops (4), 2023)

TinyML4D: Scaling Embedded Machine Learning Education in the Developing World. - Brian Plancher; Sebastian Büttrich; Jeremy Ellis; Neena Goveas; Laila D. Kazimierski; Jesús Alfonso López Sotelo; Milan Lukic; Diego Mendez 001; Rosdiadee Nordin; Andrés Oliva Trevisan; Massimo Pavan; Manuel Roveri; et al. (AAAI Spring Symposia, 2024)

VETT: VectorDB-Enabled Transfer-Learning for Time-Series Forecasting. - Alessandro Falcetta; Giulio Cristofaro; Lorenzo Epifani; Manuel Roveri (AIMLSystems, 2024)

TinySV: Speaker Verification in TinyML with On-device Learning. - Massimo Pavan; Gioele Mombelli; Francesco Sinacori; Manuel Roveri (AIMLSystems, 2024)

Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting. - Francesco Puoti; Fabrizio Pittorino; Manuel Roveri (AIMLSystems, 2024)

ChainNet: A Customized Graph Neural Network Model for Loss-Aware Edge AI Service Deployment. - Zifeng Niu; Manuel Roveri; Giuliano Casale (DSN, 2024)

An Efficient Neural Architecture Search Model for Medical Image Classification. - Lunchen Xie; Eugenio Lomurno; Matteo Gambella; Danilo Ardagna; Manuel Roveri; Matteo Matteucci; Qingjiang Shi (ESANN, 2024)

FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness. - Matteo Gambella; Fabrizio Pittorino; Manuel Roveri (IJCNN, 2024)

StreamTinyNet: video streaming analysis with spatial-temporal TinyML. - Hazem Hesham Yousef Shalby; Massimo Pavan; Manuel Roveri (IJCNN, 2024)

Training Encrypted Neural Networks on Encrypted Data with Fully Homomorphic Encryption. - Luca Colombo; Alessandro Falcetta; Manuel Roveri (WAHC@CCS, 2024)

NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks. - Matteo Gambella; Jary Pomponi; Simone Scardapane; Manuel Roveri (CoRR, 2024)

A Lightweight Neural Architecture Search Model for Medical Image Classification. - Lunchen Xie; Eugenio Lomurno; Matteo Gambella; Danilo Ardagna; Manuel Roveri; Matteo Matteucci; Qingjiang Shi (CoRR, 2024)

NITRO-D: Native Integer-only Training of Deep Convolutional Neural Networks. - Alberto Pirillo; Luca Colombo; Manuel Roveri (CoRR, 2024)

Training Multi-Layer Binary Neural Networks With Local Binary Error Signals. - Luca Colombo; Fabrizio Pittorino; Manuel Roveri (CoRR, 2024)

Scheduling Inputs in Early Exit Neural Networks. - Giuliano Casale; Manuel Roveri (IEEE Trans. Computers, 2024)

Evolving Fuzzy Prediction Intervals in Nonstationary Environments. - Oscar Cartagena; Francesco Trovò; Manuel Roveri; Doris Sáez (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

EVAD: encrypted vibrational anomaly detection with homomorphic encryption. - Alessandro Falcetta; Manuel Roveri (Neural Comput. Appl., 2024)

TyBox: An Automatic Design and Code Generation Toolbox for TinyML Incremental On-Device Learning. - Massimo Pavan; Eugeniu Ostrovan; Armando Caltabiano; Manuel Roveri (ACM Trans. Embed. Comput. Syst., 2024)

Tiny Machine Learning for Concept Drift. - Simone Disabato; Manuel Roveri (IEEE Trans. Neural Networks Learn. Syst., 2024)

CEED: Collaborative Early Exit Neural Network Inference at the Edge. - Yichong Chen; Zifeng Niu; Manuel Roveri; Giuliano Casale (INFOCOM, 2025)

Advancements in Context Recognition for Edge Devices and Smart Eyewear: Sensors and Applications. - Francesca Palermo; Luca Casciano; Lokmane Demagh; Aurelio Teliti; Niccolò Antonello; Giacomo Gervasoni; Hazem Hesham Yousef Shalby; Marco Brando Mario Paracchini; Simone Mentasti; Hao Quan; Riccardo Santambrogio; Cédric Gilbert; et al. (IEEE Access, 2025)

EmbBERT-Q: Breaking Memory Barriers in Embedded NLP. - Riccardo Bravin; Massimo Pavan; Hazem Hesham Yousef Shalby; Fabrizio Pittorino; Manuel Roveri (CoRR, 2025)

Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning. - Hazem Hesham Yousef Shalby; Manuel Roveri (CoRR, 2025)

Architecture-Aware Minimization (A2M): How to Find Flat Minima in Neural Architecture Search. - Matteo Gambella; Fabrizio Pittorino; Manuel Roveri (CoRR, 2025)

On-Sensor Convolutional Neural Networks with Early-Exits. - Hazem Hesham Yousef Shalby; Arianna De Vecchi; Alice Scandelli; Pietro Bartoli; Diana Trojaniello; Manuel Roveri; Federica Villa (CoRR, 2025)

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures. - Miguel Nogales; Matteo Gambella; Manuel Roveri (CoRR, 2025)

TActiLE: Tiny Active LEarning for wearable devices. - Massimo Pavan; Claudio Galimberti; Manuel Roveri (CoRR, 2025)

SEAL: Searching Expandable Architectures for Incremental Learning. - Matteo Gambella; Vicente Javier Castro Solar; Manuel Roveri (CoRR, 2025)

InfoQ: Mixed-Precision Quantization via Global Information Flow. - Mehmet Emre Akbulut; Hazem Hesham Yousef Shalby; Fabrizio Pittorino; Manuel Roveri (CoRR, 2025)

DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic. - Hazem Hesham Yousef Shalby; Fabrizio Pittorino; Francesca Palermo; Diana Trojaniello; Manuel Roveri (CoRR, 2025)

SELA: Smart Edge LLM Agent to Optimize Response Trade-offs of AI Assistants. - Shreshth Tuli; Giuliano Casale; Manuel Roveri (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)