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Pietro Michiardi
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- affiliation: Eurecom, France
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2020 – today
- 2024
- [j34]Mustapha Bounoua
, Giulio Franzese
, Pietro Michiardi
:
Multi-Modal Latent Diffusion. Entropy 26(4): 320 (2024) - [c94]Giulia Bonino, Gabriele Sanmartino, Giovanni Gatti Pinheiro, Paolo Papotti, Raphaël Troncy, Pietro Michiardi:
EULER: Fine-Tuning a Large Language Model for Socratic Interactions. AIxEDU@AI*IA 2024 - [c93]Giulio Franzese, Mustapha Bounoua, Pietro Michiardi:
MINDE: Mutual Information Neural Diffusion Estimation. ICLR 2024 - [c92]Mustapha Bounoua, Giulio Franzese, Pietro Michiardi:
SΩI: Score-based O-INFORMATION Estimation. ICML 2024 - [c91]Chao Wang
, Alessandro Finamore
, Pietro Michiardi
, Massimo Gallo
, Dario Rossi
:
Data Augmentation for Traffic Classification. PAM (1) 2024: 159-186 - [i53]Chao Wang, Alessandro Finamore, Pietro Michiardi, Massimo Gallo, Dario Rossi:
Data Augmentation for Traffic Classification. CoRR abs/2401.10754 (2024) - [i52]Mustapha Bounoua, Giulio Franzese, Pietro Michiardi:
SΩI: Score-based O-INFORMATION Estimation. CoRR abs/2402.05667 (2024) - [i51]Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro Michiardi:
Information Theoretic Text-to-Image Alignment. CoRR abs/2405.20759 (2024) - [i50]Raphaël Azorin, Zied Ben-Houidi, Massimo Gallo, Alessandro Finamore, Pietro Michiardi:
Fine-grained Attention in Hierarchical Transformers for Tabular Time-series. CoRR abs/2406.15327 (2024) - [i49]Giulio Franzese, Mattia Martini, Giulio Corallo, Paolo Papotti, Pietro Michiardi:
Latent Abstractions in Generative Diffusion Models. CoRR abs/2410.03368 (2024) - 2023
- [j33]Giulio Franzese
, Simone Rossi
, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
:
How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models. Entropy 25(4): 633 (2023) - [j32]Francesco Pace
, Daniele Venzano, Damiano Carra
, Pietro Michiardi
:
A Flexible Heuristic to Schedule Distributed Analytic Applications in Compute Clusters. IEEE Trans. Cloud Comput. 11(3): 2217-2230 (2023) - [c90]Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi:
Multi-View Latent Diffusion. IEEE Big Data 2023: 6152-6154 - [c89]Chao Wang
, Alessandro Finamore
, Pietro Michiardi
, Massimo Gallo
, Dario Rossi
:
Toward Generative Data Augmentation for Traffic Classification. StudentWorkshop@CoNEXT 2023: 33-34 - [c88]Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi:
Continuous-Time Functional Diffusion Processes. NeurIPS 2023 - [c87]Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone:
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. NeurIPS 2023 - [i48]Raphaël Azorin, Massimo Gallo, Alessandro Finamore, Dario Rossi, Pietro Michiardi:
"It's a Match!" - A Benchmark of Task Affinity Scores for Joint Learning. CoRR abs/2301.02873 (2023) - [i47]Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi:
Continuous-Time Functional Diffusion Processes. CoRR abs/2303.00800 (2023) - [i46]Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone:
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. CoRR abs/2305.18900 (2023) - [i45]Mustapha Bounoua, Giulio Franzese, Pietro Michiardi:
Multi-modal Latent Diffusion. CoRR abs/2306.04445 (2023) - [i44]Giulio Franzese, Mustapha Bounoua, Pietro Michiardi:
MINDE: Mutual Information Neural Diffusion Estimation. CoRR abs/2310.09031 (2023) - [i43]Chao Wang, Alessandro Finamore, Pietro Michiardi, Massimo Gallo, Dario Rossi:
Toward Generative Data Augmentation for Traffic Classification. CoRR abs/2310.13935 (2023) - 2022
- [j31]Julien Audibert
, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga:
Do deep neural networks contribute to multivariate time series anomaly detection? Pattern Recognit. 132: 108945 (2022) - [c86]Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi:
Revisiting the Effects of Stochasticity for Hamiltonian Samplers. ICML 2022: 6744-6778 - [c85]Ugo Lecerf, Christelle Yemdji Tchassi, Sébastien Aubert, Pietro Michiardi:
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios. ICMLT 2022: 209-215 - [i42]Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga:
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection? CoRR abs/2204.01637 (2022) - [i41]Ugo Lecerf, Christelle Yemdji Tchassi, Sébastien Aubert, Pietro Michiardi:
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios. CoRR abs/2204.05196 (2022) - [i40]Ugo Lecerf, Christelle Yemdji Tchassi, Pietro Michiardi:
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning. CoRR abs/2204.06509 (2022) - [i39]Giulio Franzese, Simone Rossi
, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi:
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models. CoRR abs/2206.05173 (2022) - 2021
- [j30]Giulio Franzese
, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
:
A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization. Entropy 23(11): 1426 (2021) - [j29]Pietro Michiardi, Damiano Carra
, Sara Migliorini:
Cache-Based Multi-Query Optimization for Data-Intensive Scalable Computing Frameworks. Inf. Syst. Frontiers 23(1): 35-51 (2021) - [c84]Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga:
Maximum Roaming Multi-Task Learning. AAAI 2021: 9331-9341 - [c83]Raphaël Azorin
, Massimo Gallo, Alessandro Finamore, Maurizio Filippone, Pietro Michiardi, Dario Rossi:
Towards a generic deep learning pipeline for traffic measurements. StudentWorkshop@CoNEXT 2021: 5-6 - [c82]Graziano Mita, Maurizio Filippone, Pietro Michiardi:
An Identifiable Double VAE For Disentangled Representations. ICML 2021: 7769-7779 - [c81]Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone:
Sparse within Sparse Gaussian Processes using Neighbor Information. ICML 2021: 10369-10378 - [c80]Matthieu Da Silva-Filarder, Andrea Ancora, Maurizio Filippone, Pietro Michiardi:
Multimodal Variational Autoencoders for Sensor Fusion and Cross Generation. ICMLA 2021: 1069-1076 - [c79]Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone:
Model Selection for Bayesian Autoencoders. NeurIPS 2021: 19730-19742 - [c78]Giulio Franzese, Yiqing Yan, Giuseppe Serra
, Ivan D'Onofrio, Raja Appuswamy, Pietro Michiardi:
Generative DNA: Representation Learning for DNA-based Approximate Image Storage. VCIP 2021: 1-5 - [i38]Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone:
Model Selection for Bayesian Autoencoders. CoRR abs/2106.06245 (2021) - [i37]Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi:
A Unified View of Stochastic Hamiltonian Sampling. CoRR abs/2106.16200 (2021) - [i36]Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga:
Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses? CoRR abs/2109.11678 (2021) - 2020
- [j28]Rémi Domingues
, Pietro Michiardi, Jérémie Barlet, Maurizio Filippone
:
A comparative evaluation of novelty detection algorithms for discrete sequences. Artif. Intell. Rev. 53(5): 3787-3812 (2020) - [j27]Damiano Carra
, Giovanni Neglia
, Pietro Michiardi
:
Elastic Provisioning of Cloud Caches: A Cost-Aware TTL Approach. IEEE/ACM Trans. Netw. 28(3): 1283-1296 (2020) - [c77]Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi:
LIBRE: Learning Interpretable Boolean Rule Ensembles. AISTATS 2020: 245-255 - [c76]Julien Audibert
, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga:
USAD: UnSupervised Anomaly Detection on Multivariate Time Series. KDD 2020: 3395-3404 - [c75]Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga:
Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting. ECML/PKDD (4) 2020: 513-529 - [i35]Dimitrios Milios, Pietro Michiardi, Maurizio Filippone:
A Variational View on Bootstrap Ensembles as Bayesian Inference. CoRR abs/2006.04548 (2020) - [i34]Giulio Franzese, Rosa Candela, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi:
Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling. CoRR abs/2006.05087 (2020) - [i33]Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga:
Maximum Roaming Multi-Task Learning. CoRR abs/2006.09762 (2020) - [i32]Graziano Mita, Maurizio Filippone, Pietro Michiardi:
Learning Optimal Conditional Priors For Disentangled Representations. CoRR abs/2010.09360 (2020) - [i31]Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone:
Sparse within Sparse Gaussian Processes using Neighbor Information. CoRR abs/2011.05041 (2020)
2010 – 2019
- 2019
- [j26]Marco Milanesio, Christian Callegari
, Pietro Michiardi:
Network level perspective in web sessions troubleshooting. Int. J. Commun. Syst. 32(6) (2019) - [j25]Damiano Carra
, Pietro Michiardi
:
Memory Partitioning and Management in Memcached. IEEE Trans. Serv. Comput. 12(4): 564-576 (2019) - [c74]Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone:
Calibrating Deep Convolutional Gaussian Processes. AISTATS 2019: 1554-1563 - [c73]Francesco Pace, Dimitrios Milios, Damiano Carra, Pietro Michiardi:
Dynamic Resource Shaping for Compute Clusters. BigData Congress 2019: 45-54 - [c72]Pietro Michiardi, Damiano Carra, Sara Migliorini:
In-memory Caching for Multi-query Optimization of Data-intensive Scalable Computing Workloads. EDBT/ICDT Workshops 2019 - [c71]Simone Rossi, Pietro Michiardi, Maurizio Filippone:
Good Initializations of Variational Bayes for Deep Models. ICML 2019: 5487-5497 - [c70]Damiano Carra, Giovanni Neglia, Pietro Michiardi:
TTL-based Cloud Caches. INFOCOM 2019: 685-693 - [c69]Duc-Trung Nguyen, Maurizio Filippone
, Pietro Michiardi:
Exact gaussian process regression with distributed computations. SAC 2019: 1286-1295 - [i30]Remi Domingues, Pietro Michiardi, Jérémie Barlet, Maurizio Filippone:
A comparative evaluation of novelty detection algorithms for discrete sequences. CoRR abs/1902.10940 (2019) - [i29]Rosa Candela, Giulio Franzese, Maurizio Filippone, Pietro Michiardi:
Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD. CoRR abs/1910.09466 (2019) - [i28]Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi:
LIBRE: Learning Interpretable Boolean Rule Ensembles. CoRR abs/1911.06537 (2019) - 2018
- [j24]Remi Domingues
, Pietro Michiardi, Jihane Zouaoui, Maurizio Filippone
:
Deep Gaussian Process autoencoders for novelty detection. Mach. Learn. 107(8-10): 1363-1383 (2018) - [j23]Remi Domingues, Maurizio Filippone
, Pietro Michiardi, Jihane Zouaoui:
A comparative evaluation of outlier detection algorithms: Experiments and analyses. Pattern Recognit. 74: 406-421 (2018) - [j22]Giovanni Neglia
, Damiano Carra
, Pietro Michiardi
:
Cache Policies for Linear Utility Maximization. IEEE/ACM Trans. Netw. 26(1): 302-313 (2018) - [c68]Gil Vernik, Michael Factor, Elliot K. Kolodner, Pietro Michiardi, Effi Ofer, Francesco Pace:
Stocator: Providing High Performance and Fault Tolerance for Apache Spark Over Object Storage. CCGrid 2018: 462-471 - [c67]Damiano Carra, Giovanni Neglia, Pietro Michiardi:
Elastic Provisioning of Cloud Caches: a Cost-aware TTL Approach. SoCC 2018: 526 - [c66]Francesco Pace, Dimitrios Milios, Damiano Carra, Daniele Venzano, Pietro Michiardi:
Data-Driven Resource Shaping for Compute Clusters. SoCC 2018: 527 - [c65]Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone:
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. NeurIPS 2018: 6008-6018 - [i27]Damiano Carra, Giovanni Neglia, Pietro Michiardi:
Elastic Provisioning of Cloud Caches: a Cost-aware TTL Approach. CoRR abs/1802.04696 (2018) - [i26]Pietro Michiardi, Damiano Carra, Sara Migliorini:
Cache-based Multi-query Optimization for Data-intensive Scalable Computing Frameworks. CoRR abs/1805.08650 (2018) - [i25]Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone:
Calibrating Deep Convolutional Gaussian Processes. CoRR abs/1805.10522 (2018) - [i24]Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone:
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. CoRR abs/1805.10915 (2018) - [i23]Francesco Pace, Dimitrios Milios, Damiano Carra, Daniele Venzano, Pietro Michiardi:
A Data-Driven Approach to Dynamically Adjust Resource Allocation for Compute Clusters. CoRR abs/1807.00368 (2018) - [i22]Simone Rossi, Pietro Michiardi, Maurizio Filippone:
Good Initializations of Variational Bayes for Deep Models. CoRR abs/1810.08083 (2018) - 2017
- [j21]Daniele Apiletti
, Elena Baralis, Tania Cerquitelli, Paolo Garza
, Fabio Pulvirenti
, Pietro Michiardi:
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data. Big Data Res. 10: 53-69 (2017) - [j20]Alessandro Lulli
, Lorenzo Gabrielli, Patrizio Dazzi
, Matteo Dell'Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci:
Scalable and flexible clustering solutions for mobile phone-based population indicators. Int. J. Data Sci. Anal. 4(4): 285-299 (2017) - [j19]Yongchao Tian, Ioannis Alagiannis, Erietta Liarou, Anastasia Ailamaki, Pietro Michiardi, Marko Vukolic:
DiNoDB: An Interactive-Speed Query Engine for Ad-Hoc Queries on Temporary Data. IEEE Trans. Big Data 3(3): 320-333 (2017) - [j18]Mario Pastorelli, Damiano Carra, Matteo Dell'Amico
, Pietro Michiardi:
HFSP: Bringing Size-Based Scheduling To Hadoop. IEEE Trans. Cloud Comput. 5(1): 43-56 (2017) - [j17]Giovanni Neglia, Damiano Carra, Mingdong Feng, Vaishnav Janardhan, Pietro Michiardi, Dimitra Tsigkari
:
Access-Time-Aware Cache Algorithms. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2(4): 21:1-21:29 (2017) - [c64]Yongchao Tian, Pietro Michiardi, Marko Vukolic:
Bleach: A Distributed Stream Data Cleaning System. BigData Congress 2017: 113-120 - [c63]Son-Hai Ha, Patrick Brown, Pietro Michiardi:
Resource Management for Parallel Processing Frameworks with Load Awareness at Worker Side. BigData Congress 2017: 161-168 - [c62]Francesco Pace, Daniele Venzano, Damiano Carra, Pietro Michiardi:
Flexible Scheduling of Distributed Analytic Applications. CCGrid 2017: 100-109 - [c61]Gil Vernik, Michael Factor, Elliot K. Kolodner, Effi Ofer, Pietro Michiardi, Francesco Pace:
Stocator: an object store aware connector for apache spark. SoCC 2017: 653 - [c60]Yosef Moatti, Eran Rom, Raúl Gracia Tinedo, Dalit Naor, Doron Chen, Josep Sampé, Marc Sánchez Artigas, Pedro García López, Filip Gluszak, Eric Deschdt, Francesco Pace, Daniele Venzano, Pietro Michiardi:
Too Big to Eat: Boosting Analytics Data Ingestion from Object Stores with Scoop. ICDE 2017: 309-320 - [c59]Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi, Maurizio Filippone:
Random Feature Expansions for Deep Gaussian Processes. ICML 2017: 884-893 - [c58]Giovanni Neglia, Damiano Carra, Pietro Michiardi:
Cache policies for linear utility maximization. INFOCOM 2017: 1-9 - [c57]Gil Vernik, Michael Factor, Elliot K. Kolodner, Effi Ofer, Pietro Michiardi, Francesco Pace:
Stocator: a high performance object store connector for spark. SYSTOR 2017: 27:1 - [i21]Gil Vernik, Michael Factor, Elliot K. Kolodner, Pietro Michiardi, Effi Ofer, Francesco Pace:
Stocator: A High Performance Object Store Connector for Spark. CoRR abs/1709.01812 (2017) - 2016
- [j16]Raúl Gracia Tinedo, Pedro García López, Marc Sánchez Artigas, Josep Sampé, Yosef Moatti, Eran Rom, Dalit Naor, Ramon Nou
, Toni Cortes
, William Oppermann, Pietro Michiardi:
IOStack: Software-Defined Object Storage. IEEE Internet Comput. 20(3): 10-18 (2016) - [j15]Alessandro Lulli, Matteo Dell'Amico, Pietro Michiardi, Laura Ricci:
NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data. Proc. VLDB Endow. 10(3): 157-168 (2016) - [j14]Matteo Dell'Amico
, Damiano Carra, Pietro Michiardi:
PSBS: Practical Size-Based Scheduling. IEEE Trans. Computers 65(7): 2199-2212 (2016) - [c56]Francesco Pace, Marco Milanesio, Daniele Venzano, Damiano Carra, Pietro Michiardi:
Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service. CLOUD 2016: 196-203 - [c55]Thibault Debatty, Fabio Pulvirenti, Pietro Michiardi, Wim Mees:
Fast distributed k-nn graph update. IEEE BigData 2016: 3308-3317 - [c54]Duy-Hung Phan, Pietro Michiardi:
A novel, low-latency algorithm for multiple Group-By query optimization. ICDE 2016: 301-312 - [c53]Alessandro Lulli, Lorenzo Gabrielli, Patrizio Dazzi
, Matteo Dell'Amico
, Pietro Michiardi, Mirco Nanni, Laura Ricci:
Improving population estimation from mobile calls: A clustering approach. ISCC 2016: 1097-1102 - [c52]Giovanni Neglia, Damiano Carra, Mingdong Feng, Vaishnav Janardhan, Pietro Michiardi, Dimitra Tsigkari
:
Access-Time Aware Cache Algorithms. ITC 2016: 148-156 - [e1]Mirjana Ivanovic, Bernhard Thalheim, Barbara Catania, Klaus-Dieter Schewe, Marite Kirikova, Petr Saloun, Ajantha Dahanayake, Tania Cerquitelli, Elena Baralis, Pietro Michiardi:
New Trends in Databases and Information Systems - ADBIS 2016 Short Papers and Workshops, BigDap, DCSA, DC, Prague, Czech Republic, August 28-31, 2016, Proceedings. Communications in Computer and Information Science 637, Springer 2016, ISBN 978-3-319-44065-1 [contents] - [i20]Thibault Debatty, Pietro Michiardi, Wim Mees:
Fast Online k-nn Graph Building. CoRR abs/1602.06819 (2016) - [i19]Francesco Pace, Marco Milanesio, Daniele Venzano, Damiano Carra, Pietro Michiardi:
Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service. CoRR abs/1602.07919 (2016) - [i18]Yongchao Tian, Ioannis Alagiannis, Erietta Liarou, Anastasia Ailamaki, Pietro Michiardi, Marko Vukolic:
DiNoDB: an Interactive-speed Query Engine for Ad-hoc Queries on Temporary Data. CoRR abs/1609.05096 (2016) - [i17]Yongchao Tian, Pietro Michiardi, Marko Vukolic:
Bleach: A Distributed Stream Data Cleaning System. CoRR abs/1609.05113 (2016) - [i16]Francesco Pace, Daniele Venzano, Damiano Carra, Pietro Michiardi:
Flexible Scheduling of Distributed Analytic Applications. CoRR abs/1611.09528 (2016) - 2015
- [j13]Matteo Dell'Amico
, Pietro Michiardi, László Toka, Pasquale Cataldi:
Adaptive redundancy management for durable P2P backup. Comput. Networks 83: 136-148 (2015) - [j12]Matteo Dell'Amico
, Maurizio Filippone
, Pietro Michiardi, Yves Roudier:
On User Availability Prediction and Network Applications. IEEE/ACM Trans. Netw. 23(4): 1300-1313 (2015) - [c51]Duy-Hung Phan, Quang-Nhat Hoang-Xuan, Matteo Dell'Amico
, Pietro Michiardi:
Efficient and Self-Balanced ROLLUP Aggregates for Large-Scale Data Summarization. BigData Congress 2015: 158-165 - [c50]Alessandro Lulli, Thibault Debatty, Matteo Dell'Amico
, Pietro Michiardi, Laura Ricci
:
Scalable k-NN based text clustering. IEEE BigData 2015: 958-963 - [c49]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza
, Pietro Michiardi, Fabio Pulvirenti:
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data. ICDM Workshops 2015: 839-846 - [c48]Christian Callegari
, Marco Milanesio, Pietro Michiardi:
Troubleshooting web sessions with CUSUM. IWCMC 2015: 385-390 - [c47]Damiano Carra, Pietro Michiardi:
Cost-based Memory Partitioning and Management in Memcached. IMDM@VLDB 2015: 6:1-6:8 - [i15]Matteo Dell'Amico, Damiano Carra, Pietro Michiardi:
On Fair Size-Based Scheduling. CoRR abs/1506.09158 (2015) - 2014
- [c46]Thibault Debatty, Pietro Michiardi, Olivier Thonnard, Wim Mees:
Building k-nn graphs from large text data. IEEE BigData 2014: 573-578 - [c45]Yufei Han, Xiaolan Sha, Etta Grover-Silva, Pietro Michiardi:
On the impact of socio-economic factors on power load forecasting. IEEE BigData 2014: 742-747 - [c44]Duy-Hung Phan, Matteo Dell'Amico, Pietro Michiardi:
On the design space of MapReduce ROLLUP aggregates. EDBT/ICDT Workshops 2014: 10-18 - [c43]Thibault Debatty, Pietro Michiardi, Wim Mees, Olivier Thonnard:
Determining the k in k-means with MapReduce. EDBT/ICDT Workshops 2014: 19-28 - [c42]Damiano Carra, Pietro Michiardi:
Memory partitioning in Memcached: An experimental performance analysis. ICC 2014: 1154-1159 - [c41]