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Pietro Michiardi

Professor and Department Head

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Pietro Michiardi received his M.S. in Electrical Engineering from Politecnico di Torino and his M.S. in Computer Science from EURECOM. Pietro received his Ph.D. in Computer Science from Telecom ParisTech, and his HDR (Habilitation) from UCA.

Pietro is a Full Professor and head of the Data Science Department at EURECOM. In his work, Pietro focuses on methodological advances in machine learning, Bayesian Inference, generative modelling and representation learning. Pietro is interested in developing a theoretical understanding of methods that learn from data, in methodological aspects of computationally efficient inference approaches, and their application to industrial domains such as the automotive, telecommunication and financial industries.

In the past, Pietro worked on a wide range of research topics, including: computer networks and their performance evaluation, applied cryptography, applied game theory, distributed systems, and data management systems. Pietro has published over 180 research papers to date.

Pietro’s Publications

INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators

INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
Alberto Foresti, Giulio Franzese, Pietro Michiardi
CoRR (2025)

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In Praise of Stubbornness: The Case for Cognitive-Dissonance-Aware Knowledge Updates in LLMs

In Praise of Stubbornness: The Case for Cognitive-Dissonance-Aware Knowledge Updates in LLMs
Simone Clemente, Zied Ben-Houidi, Alexis Huet, Dario Rossi, Giulio Franzese, Pietro Michiardi
CoRR (2025)

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Latent Abstractions in Generative Diffusion Models

Latent Abstractions in Generative Diffusion Models
Giulio Franzese, Mattia Martini, Giulio Corallo, Paolo Papotti, Pietro Michiardi
CoRR (2024)

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Fine-grained Attention in Hierarchical Transformers for Tabular Time-series

Fine-grained Attention in Hierarchical Transformers for Tabular Time-series
Raphael Azorin, Zied Ben-Houidi, Massimo Gallo, Alessandro Finamore, Pietro Michiardi
CoRR (2024)

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Information Theoretic Text-to-Image Alignment

Information Theoretic Text-to-Image Alignment
Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro Michiardi
CoRR (2024)

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Data Augmentation for Traffic Classification
Chao Wang, Alessandro Finamore, Pietro Michiardi, Massimo Gallo, Dario Rossi
Passive and Active Measurement - 25th International Conference, PAM 2024, Virtual Event, March 11-13, 2024, Proceedings, Part I (2024)

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S: Score-based O-INFORMATION Estimation

S: Score-based O-INFORMATION Estimation
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024 (2024)

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MINDE: Mutual Information Neural Diffusion Estimation
Giulio Franzese, Mustapha Bounoua, Pietro Michiardi
The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024 (2024)

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EULER: Fine-Tuning a Large Language Model for Socratic Interactions
Giulia Bonino, Gabriele Sanmartino, Giovanni Gatti Pinheiro, Paolo Papotti, Raphael Troncy, Pietro Michiardi
Proceedings of the Second International Workshop on Artificial INtelligent Systems in Education co-located with 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), Bolzano, Italy, November 26, 2024 (2024)

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Multi-Modal Latent Diffusion
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
Entropy (2024)

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It's a Match! - A Benchmark of Task Affinity Scores for Joint Learning

It's a Match! - A Benchmark of Task Affinity Scores for Joint Learning
Raphael Azorin, Massimo Gallo, Alessandro Finamore, Dario Rossi, Pietro Michiardi
CoRR (2023)

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One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models

One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023)

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Continuous-Time Functional Diffusion Processes

Continuous-Time Functional Diffusion Processes
Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023)

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Toward Generative Data Augmentation for Traffic Classification
Chao Wang, Alessandro Finamore, Pietro Michiardi, Massimo Gallo, Dario Rossi
Proceedings of the on CoNEXT Student Workshop 2023, CoNEXT-SW 2023, Paris, France, 8 December 2023 (2023)

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Multi-View Latent Diffusion

Multi-View Latent Diffusion
Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023 (2023)

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A Flexible Heuristic to Schedule Distributed Analytic Applications in Compute Clusters

A Flexible Heuristic to Schedule Distributed Analytic Applications in Compute Clusters
Francesco Pace, Daniele Venzano, Damiano Carra, Pietro Michiardi
IEEE Trans. Cloud Comput. (2023)

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How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models
Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
Entropy (2023)

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Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning

Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning
Ugo Lecerf, Christelle Yemdji Tchassi, Pietro Michiardi
CoRR (2022)

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Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios
Ugo Lecerf, Christelle Yemdji Tchassi, Sebastien Aubert, Pietro Michiardi
ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11 - 13, 2022 (2022)

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Revisiting the Effects of Stochasticity for Hamiltonian Samplers

Revisiting the Effects of Stochasticity for Hamiltonian Samplers
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA (2022)

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Do deep neural networks contribute to multivariate time series anomaly detection?
Julien Audibert, Pietro Michiardi, Frederic Guyard, Sebastien Marti, Maria A. Zuluaga
Pattern Recognit. (2022)

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A Unified View of Stochastic Hamiltonian Sampling

A Unified View of Stochastic Hamiltonian Sampling
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
CoRR (2021)

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Generative DNA: Representation Learning for DNA-based Approximate Image Storage
Giulio Franzese, Yiqing Yan, Giuseppe Serra, Ivan D'Onofrio, Raja Appuswamy, Pietro Michiardi
International Conference on Visual Communications and Image Processing, VCIP 2021, Munich, Germany, December 5-8, 2021 (2021)

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Model Selection for Bayesian Autoencoders

Model Selection for Bayesian Autoencoders
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone
Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual (2021)

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Multimodal Variational Autoencoders for Sensor Fusion and Cross Generation

Multimodal Variational Autoencoders for Sensor Fusion and Cross Generation
Matthieu Da Silva-Filarder, Andrea Ancora, Maurizio Filippone, Pietro Michiardi
20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021 (2021)

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Sparse within Sparse Gaussian Processes using Neighbor Information

Sparse within Sparse Gaussian Processes using Neighbor Information
Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event (2021)

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An Identifiable Double VAE For Disentangled Representations

An Identifiable Double VAE For Disentangled Representations
Graziano Mita, Maurizio Filippone, Pietro Michiardi
Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event (2021)

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Towards a generic deep learning pipeline for traffic measurements
Raphael Azorin, Massimo Gallo, Alessandro Finamore, Maurizio Filippone, Pietro Michiardi, Dario Rossi
CoNEXT-SW '21: Proceedings of the CoNEXT Student Workshop, Virtual Event / Munich, Germany, 7 December 2021 (2021)

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Cache-Based Multi-Query Optimization for Data-Intensive Scalable Computing Frameworks
Pietro Michiardi, Damiano Carra, Sara Migliorini
Inf. Syst. Frontiers (2021)

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A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
Entropy (2021)

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Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses?

Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses?
Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga
CoRR (2021)

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Maximum Roaming Multi-Task Learning
Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga
Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021 (2021)

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Learning Optimal Conditional Priors For Disentangled Representations

Learning Optimal Conditional Priors For Disentangled Representations
Graziano Mita, Maurizio Filippone, Pietro Michiardi
CoRR (2020)

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Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling

Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling
Giulio Franzese, Rosa Candela, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
CoRR (2020)

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A Variational View on Bootstrap Ensembles as Bayesian Inference

A Variational View on Bootstrap Ensembles as Bayesian Inference
Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
CoRR (2020)

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LIBRE: Learning Interpretable Boolean Rule Ensembles
Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi
The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy] (2020)

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Elastic Provisioning of Cloud Caches: A Cost-Aware TTL Approach

Elastic Provisioning of Cloud Caches: A Cost-Aware TTL Approach
Damiano Carra, Giovanni Neglia, Pietro Michiardi
IEEE/ACM Trans. Netw. (2020)

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A comparative evaluation of novelty detection algorithms for discrete sequences
Remi Domingues, Pietro Michiardi, Jeremie Barlet, Maurizio Filippone
Artif. Intell. Rev. (2020)

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Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting
Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part IV (2020)

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USAD: UnSupervised Anomaly Detection on Multivariate Time Series

USAD: UnSupervised Anomaly Detection on Multivariate Time Series
Julien Audibert, Pietro Michiardi, Frederic Guyard, Sebastien Marti, Maria A. Zuluaga
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020 (2020)

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Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD

Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD
Rosa Candela, Giulio Franzese, Maurizio Filippone, Pietro Michiardi
CoRR (2019)

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Exact gaussian process regression with distributed computations

Exact gaussian process regression with distributed computations
Duc-Trung Nguyen, Maurizio Filippone, Pietro Michiardi
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019 (2019)

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TTL-based Cloud Caches

TTL-based Cloud Caches
Damiano Carra, Giovanni Neglia, Pietro Michiardi
2019 IEEE Conference on Computer Communications, INFOCOM 2019, Paris, France, April 29 - May 2, 2019 (2019)

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Good Initializations of Variational Bayes for Deep Models

Good Initializations of Variational Bayes for Deep Models
Simone Rossi, Pietro Michiardi, Maurizio Filippone
Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA (2019)

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In-memory Caching for Multi-query Optimization of Data-intensive Scalable Computing Workloads
Pietro Michiardi, Damiano Carra, Sara Migliorini
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019 (2019)

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Dynamic Resource Shaping for Compute Clusters

Dynamic Resource Shaping for Compute Clusters
Francesco Pace, Dimitrios Milios, Damiano Carra, Pietro Michiardi
2019 IEEE International Congress on Big Data, BigData Congress 2019, Milan, Italy, July 8-13, 2019 (2019)

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Calibrating Deep Convolutional Gaussian Processes
Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone
The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan (2019)

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Memory Partitioning and Management in Memcached

Memory Partitioning and Management in Memcached
Damiano Carra, Pietro Michiardi
IEEE Trans. Serv. Comput. (2019)

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Network level perspective in web sessions troubleshooting
Marco Milanesio, Christian Callegari, Pietro Michiardi
Int. J. Commun. Syst. (2019)

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A Data-Driven Approach to Dynamically Adjust Resource Allocation for Compute Clusters

A Data-Driven Approach to Dynamically Adjust Resource Allocation for Compute Clusters
Francesco Pace, Dimitrios Milios, Damiano Carra, Daniele Venzano, Pietro Michiardi
CoRR (2018)

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Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification

Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada (2018)

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Data-Driven Resource Shaping for Compute Clusters

Data-Driven Resource Shaping for Compute Clusters
Francesco Pace, Dimitrios Milios, Damiano Carra, Daniele Venzano, Pietro Michiardi
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2018, Carlsbad, CA, USA, October 11-13, 2018 (2018)

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Stocator: Providing High Performance and Fault Tolerance for Apache Spark Over Object Storage

Stocator: Providing High Performance and Fault Tolerance for Apache Spark Over Object Storage
Gil Vernik, Michael Factor, Elliot K. Kolodner, Pietro Michiardi, Effi Ofer, Francesco Pace
18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018, Washington, DC, USA, May 1-4, 2018 (2018)

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Cache Policies for Linear Utility Maximization

Cache Policies for Linear Utility Maximization
Giovanni Neglia, Damiano Carra, Pietro Michiardi
IEEE/ACM Trans. Netw. (2018)

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A comparative evaluation of outlier detection algorithms: Experiments and analyses
Remi Domingues, Maurizio Filippone, Pietro Michiardi, Jihane Zouaoui
Pattern Recognit. (2018)

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Deep Gaussian Process autoencoders for novelty detection
Remi Domingues, Pietro Michiardi, Jihane Zouaoui, Maurizio Filippone
Mach. Learn. (2018)

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Stocator: a high performance object store connector for spark

Stocator: a high performance object store connector for spark
Gil Vernik, Michael Factor, Elliot K. Kolodner, Effi Ofer, Pietro Michiardi, Francesco Pace
Proceedings of the 10th ACM International Systems and Storage Conference, SYSTOR 2017, Haifa, Israel, May 22-24, 2017 (2017)

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Random Feature Expansions for Deep Gaussian Processes

Random Feature Expansions for Deep Gaussian Processes
Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi, Maurizio Filippone
Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 (2017)

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Too Big to Eat: Boosting Analytics Data Ingestion from Object Stores with Scoop

Too Big to Eat: Boosting Analytics Data Ingestion from Object Stores with Scoop
Yosef Moatti, Eran Rom, Raul Gracia Tinedo, Dalit Naor, Doron Chen, Josep Sampe, Marc Sanchez Artigas, Pedro Garcia Lopez, Filip Gluszak, Eric Deschdt, Francesco Pace, Daniele Venzano, Pietro Michiardi
33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 (2017)

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Stocator: an object store aware connector for apache spark
Gil Vernik, Michael Factor, Elliot K. Kolodner, Effi Ofer, Pietro Michiardi, Francesco Pace
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, September 24-27, 2017 (2017)

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Flexible Scheduling of Distributed Analytic Applications

Flexible Scheduling of Distributed Analytic Applications
Francesco Pace, Daniele Venzano, Damiano Carra, Pietro Michiardi
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017, Madrid, Spain, May 14-17, 2017 (2017)

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Resource Management for Parallel Processing Frameworks with Load Awareness at Worker Side

Resource Management for Parallel Processing Frameworks with Load Awareness at Worker Side
Son-Hai Ha, Patrick Brown, Pietro Michiardi
2017 IEEE International Congress on Big Data, BigData Congress 2017, Honolulu, HI, USA, June 25-30, 2017 (2017)

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Bleach: A Distributed Stream Data Cleaning System

Bleach: A Distributed Stream Data Cleaning System
Yongchao Tian, Pietro Michiardi, Marko Vukolic
2017 IEEE International Congress on Big Data, BigData Congress 2017, Honolulu, HI, USA, June 25-30, 2017 (2017)

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Access-Time-Aware Cache Algorithms

Access-Time-Aware Cache Algorithms
Giovanni Neglia, Damiano Carra, Mingdong Feng, Vaishnav Janardhan, Pietro Michiardi, Dimitra Tsigkari
ACM Trans. Model. Perform. Evaluation Comput. Syst. (2017)

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HFSP: Bringing Size-Based Scheduling To Hadoop

HFSP: Bringing Size-Based Scheduling To Hadoop
Mario Pastorelli, Damiano Carra, Matteo Dell'Amico, Pietro Michiardi
IEEE Trans. Cloud Comput. (2017)

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DiNoDB: An Interactive-Speed Query Engine for Ad-Hoc Queries on Temporary Data

DiNoDB: An Interactive-Speed Query Engine for Ad-Hoc Queries on Temporary Data
Yongchao Tian, Ioannis Alagiannis, Erietta Liarou, Anastasia Ailamaki, Pietro Michiardi, Marko Vukolic
IEEE Trans. Big Data (2017)

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Scalable and flexible clustering solutions for mobile phone-based population indicators
Alessandro Lulli, Lorenzo Gabrielli, Patrizio Dazzi, Matteo Dell'Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci
Int. J. Data Sci. Anal. (2017)

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A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Pietro Michiardi
Big Data Res. (2017)

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Fast Online k-nn Graph Building

Fast Online k-nn Graph Building
Thibault Debatty, Pietro Michiardi, Wim Mees
CoRR (2016)

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Access-Time Aware Cache Algorithms
Giovanni Neglia, Damiano Carra, Mingdong Feng, Vaishnav Janardhan, Pietro Michiardi, Dimitra Tsigkari
28th International Teletraffic Congress, ITC 2016, Würzburg, Germany, September 12-16, 2016 (2016)

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Improving population estimation from mobile calls: A clustering approach

Improving population estimation from mobile calls: A clustering approach
Alessandro Lulli, Lorenzo Gabrielli, Patrizio Dazzi, Matteo Dell'Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci
IEEE Symposium on Computers and Communication, ISCC 2016, Messina, Italy, June 27-30, 2016 (2016)

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A novel, low-latency algorithm for multiple Group-By query optimization

A novel, low-latency algorithm for multiple Group-By query optimization
Duy-Hung Phan, Pietro Michiardi
32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May 16-20, 2016 (2016)

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Fast distributed k-nn graph update

Fast distributed k-nn graph update
Thibault Debatty, Fabio Pulvirenti, Pietro Michiardi, Wim Mees
2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016 (2016)

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Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service

Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service
Francesco Pace, Marco Milanesio, Daniele Venzano, Damiano Carra, Pietro Michiardi
9th IEEE International Conference on Cloud Computing, CLOUD 2016, San Francisco, CA, USA, June 27 - July 2, 2016 (2016)

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PSBS: Practical Size-Based Scheduling

PSBS: Practical Size-Based Scheduling
Matteo Dell'Amico, Damiano Carra, Pietro Michiardi
IEEE Trans. Computers (2016)

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NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data
Alessandro Lulli, Matteo Dell'Amico, Pietro Michiardi, Laura Ricci
Proc. VLDB Endow. (2016)

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IOStack: Software-Defined Object Storage

IOStack: Software-Defined Object Storage
Raul Gracia Tinedo, Pedro Garcia Lopez, Marc Sanchez Artigas, Josep Sampe, Yosef Moatti, Eran Rom, Dalit Naor, Ramon Nou, Toni Cortes, William Oppermann, Pietro Michiardi
IEEE Internet Comput. (2016)

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On Fair Size-Based Scheduling

On Fair Size-Based Scheduling
Matteo Dell'Amico, Damiano Carra, Pietro Michiardi
CoRR (2015)

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Cost-based Memory Partitioning and Management in Memcached
Damiano Carra, Pietro Michiardi
Proceedings of the 3rd VLDB Workshop on In-Memory Data Mangement and Analytics, IMDM@VLDB 2015, Kohala Coast, HI, USA, August 31, 2015 (2015)

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Troubleshooting web sessions with CUSUM
Christian Callegari, Marco Milanesio, Pietro Michiardi
International Wireless Communications and Mobile Computing Conference, IWCMC 2015, Dubrovnik, Croatia, August 24-28, 2015 (2015)

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PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data

PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Pietro Michiardi, Fabio Pulvirenti
IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015 (2015)

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Scalable k-NN based text clustering

Scalable k-NN based text clustering
Alessandro Lulli, Thibault Debatty, Matteo Dell'Amico, Pietro Michiardi, Laura Ricci
2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015 (2015)

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Efficient and Self-Balanced ROLLUP Aggregates for Large-Scale Data Summarization

Efficient and Self-Balanced ROLLUP Aggregates for Large-Scale Data Summarization
Duy-Hung Phan, Quang-Nhat Hoang-Xuan, Matteo Dell'Amico, Pietro Michiardi
2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27 - July 2, 2015 (2015)

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On User Availability Prediction and Network Applications

On User Availability Prediction and Network Applications
Matteo Dell'Amico, Maurizio Filippone, Pietro Michiardi, Yves Roudier
IEEE/ACM Trans. Netw. (2015)

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Adaptive redundancy management for durable P2P backup
Matteo Dell'Amico, Pietro Michiardi, Laszlo Toka, Pasquale Cataldi
Comput. Networks (2015)

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