CLUE: Clustering for Mining Web URLs. - Andrea Morichetta 002; Enrico Bocchi; Hassan Metwalley; Marco Mellia (ITC, 2016)

UMAP: Urban mobility analysis platform to harvest car sharing data. - Alessandro Ciociola; Michele Cocca; Danilo Giordano; Marco Mellia; Andrea Morichetta 002; Andrian Putina; Flavia Salutari (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Achieving Horizontal Scalability in Density-based Clustering for URLs. - Azadeh Faroughi; Reza Javidan; Marco Mellia; Andrea Morichetta 002; Francesca Soro; Martino Trevisan (IEEE BigData, 2018)

LENTA: Longitudinal Exploration for Network Traffic Analysis. - Andrea Morichetta 002; Marco Mellia (ITC (1), 2018)

EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. - Andrea Morichetta 002; Pedro Casas; Marco Mellia (Big-DAMA@CoNEXT, 2019)

Characterizing Web Pornography Consumption from Passive Measurements. - Andrea Morichetta 002; Martino Trevisan; Luca Vassio (PAM, 2019)

Clustering and evolutionary approach for longitudinal web traffic analysis. - Andrea Morichetta 002; Marco Mellia (Perform. Evaluation, 2019)

A Survey on Big Data for Network Traffic Monitoring and Analysis. - Alessandro D'Alconzo; Idilio Drago; Andrea Morichetta 002; Marco Mellia; Pedro Casas (IEEE Trans. Netw. Serv. Manag., 2019)

LENTA: Longitudinal Exploration for Network Traffic Analysis From Passive Data. - Andrea Morichetta 002; Marco Mellia (IEEE Trans. Netw. Serv. Manag., 2019)

SLOC: Service Level Objectives for Next Generation Cloud Computing. - Stefan Nastic; Andrea Morichetta 002; Thomas W. Pusztai; Schahram Dustdar; Xiaoning Ding; Deepak Vij; Ying Xiong (IEEE Internet Comput., 2020)

Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters. - Stefan Nastic; Thomas W. Pusztai; Andrea Morichetta 002; Victor Casamayor-Pujol; Schahram Dustdar; Deepak Vij; Ying Xiong (CLOUD, 2021)

A Novel Middleware for Efficiently Implementing Complex Cloud-Native SLOs. - Thomas W. Pusztai; Andrea Morichetta 002; Victor Casamayor-Pujol; Schahram Dustdar; Stefan Nastic; Xiaoning Ding; Deepak Vij; Ying Xiong (CLOUD, 2021)

A roadmap on learning and reasoning for distributed computing continuum ecosystems. - Andrea Morichetta 002; Victor Casamayor-Pujol; Schahram Dustdar (EDGE, 2021)

SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs. - Thomas W. Pusztai; Andrea Morichetta 002; Victor Casamayor-Pujol; Schahram Dustdar; Stefan Nastic; Xiaoning Ding; Deepak Vij; Ying Xiong (ICWS, 2021)

Understanding web pornography usage from traffic analysis. - Andrea Morichetta 002; Martino Trevisan; Luca Vassio; Julia Krickl (Comput. Networks, 2021)

Towards website domain name classification using graph based semi-supervised learning. - Azadeh Faroughi; Andrea Morichetta 002; Luca Vassio; Flavio Figueiredo; Marco Mellia; Reza Javidan (Comput. Networks, 2021)

High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation. - Nicolò Bartelucci; Paolo Bellavista; Thomas W. Pusztai; Andrea Morichetta 002; Schahram Dustdar (ICFEC, 2022)

Distributed Computing Continuum Systems - Opportunities and Research Challenges. - Victor Casamayor-Pujol; Praveen Kumar Donta; Andrea Morichetta 002; Ilir Murturi; Schahram Dustdar (ICSOC Workshops, 2022)

Polaris Scheduler: SLO- and Topology-aware Microservices Scheduling at the Edge. - Thomas W. Pusztai; Stefan Nastic; Andrea Morichetta 002; Victor Casamayor-Pujol; Philipp Raith; Schahram Dustdar; Deepak Vij; Ying Xiong; Zhaobo Zhang (UCC, 2022)

Cooperative Multiagent Deep Reinforcement Learning for Computation Offloading: A Mobile Network Operator Perspective. - Kexin Li; Xingwei Wang 001; Qiang He 002; Bo Yi; Andrea Morichetta 002; Min Huang 001 (IEEE Internet Things J., 2022)

Demystifying deep learning in predictive monitoring for cloud-native SLOs. - Andrea Morichetta 002; Thomas W. Pusztai; Deepak Vij; Victor Casamayor-Pujol; Philipp Raith; Ying Xiong; Stefan Nastic; Schahram Dustdar; Zhaobo Zhang (CLOUD, 2023)

FL-SERENADE: Federated Learning for SEmi-supeRvisEd Network Anomaly DEtection. A Case Study. - Veronika Bekbulatova; Andrea Morichetta 002; Schahram Dustdar (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Learning-Driven Zero Trust in Distributed Computing Continuum Systems. - Ilir Murturi; Praveen Kumar Donta; Victor Casamayor-Pujol; Andrea Morichetta 002; Schahram Dustdar (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Intelligent Sampling: A Novel Approach to Optimize Workload Scheduling in Large-Scale Heterogeneous Computing Continuum. - Victor Casamayor-Pujol; Andrea Morichetta 002; Stefan Nastic (SOSE, 2023)

PolarisProfiler: A Novel Metadata-Based Profiling Approach for Optimizing Resource Management in the Edge-Cloud Continnum. - Andrea Morichetta 002; Victor Casamayor-Pujol; Stefan Nastic; Schahram Dustdar; Deepak Vij; Ying Xiong; Zhaobo Zhang (SOSE, 2023)

Intent-based Management for the Distributed Computing Continuum. - Andrea Morichetta 002; Nikolaus Spring; Philipp Raith; Schahram Dustdar (SOSE, 2023)

Fundamental Research Challenges for Distributed Computing Continuum Systems. - Victor Casamayor-Pujol; Andrea Morichetta 002; Ilir Murturi; Praveen Kumar Donta; Schahram Dustdar (Inf., 2023)

Edge Intelligence - Research Opportunities for Distributed Computing Continuum Systems. - Victor Casamayor-Pujol; Praveen Kumar Donta; Andrea Morichetta 002; Ilir Murturi; Schahram Dustdar (IEEE Internet Comput., 2023)

INTEND: Intent-Based Data Operation in the Computing Continuum. - Donatella Firmani; Francesco Leotta; Jerin George Mathew; Jacopo Rossi; Lorenzo Balzotti; Hui Song; Dumitru Roman; Rustem Dautov; Erik Johannes Husom; Sagar Sen; Vilija Balionyte-Merle; Andrea Morichetta 002; et al. (CAiSE Research Projects Exhibition, 2024)

SLO-Aware Task Offloading Within Collaborative Vehicle Platoons. - Boris Sedlak; Andrea Morichetta 002; Yuhao Wang; Yang Fei; Liang Wang; Schahram Dustdar; Xiaobo Qu 002 (ICSOC (2), 2024)

Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition. - Rastko Gajanin; Anastasiya Danilenka; Andrea Morichetta 002; Stefan Nastic (IoT, 2024)

INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum. - Rustem Dautov; Hui Song; Dumitru Roman; Erik Johannes Husom; Sagar Sen; Vilija Balionyte-Merle; Donatella Firmani; Francesco Leotta; Jerin George Mathew; Jacopo Rossi; Lorenzo Balzotti; Andrea Morichetta 002; et al. (RuleML+RR (Companion), 2024)

Cohabitation of Intelligence and Systems: Towards Self-reference in Digital Anatomies. - Andrea Morichetta 002; Anna Lackinger; Schahram Dustdar (SOSE, 2024)

Time Series Predictions for Cloud Workloads: A Comprehensive Evaluation. - Anna Lackinger; Andrea Morichetta 002; Schahram Dustdar (SOSE, 2024)

Distributed Model Serving for Real-time Opinion Detection. - Paul Pinter; Andrea Morichetta 002; Schahram Dustdar (SOSE, 2024)

Adaptive Stream Processing on Edge Devices through Active Inference. - Boris Sedlak; Victor Casamayor-Pujol; Andrea Morichetta 002; Praveen Kumar Donta; Schahram Dustdar (CoRR, 2024)

RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms. - Filip Loisel; Geri Zeqo; Andrea Morichetta 002; Anna Lackinger; Schahram Dustdar (CoRR, 2024)

Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions. - Abhishek Hazra; Andrea Morichetta 002; Ilir Murturi; Lauri Lovén; Chinmaya Kumar Dehury; Victor Casamayor-Pujol; Praveen Kumar Donta; Schahram Dustdar (Computer, 2024)

Towards Multi-dimensional Elasticity for Pervasive Stream Processing Services. - Boris Sedlak; Andrea Morichetta 002; Philipp Raith; Victor Casamayor-Pujol; Schahram Dustdar (PerCom Workshops, 2025)

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum. - Andrea Morichetta 002; Stefan Nastic; Victor Casamayor-Pujol; Schahram Dustdar (CoRR, 2025)

MACH: Multi-Agent Coordination for RSU-centric Handovers. - Nikolaus Spring; Andrea Morichetta 002; Boris Sedlak; Schahram Dustdar (CoRR, 2025)