Alessandro Finamore

Orcid: 0000-0003-2226-2506

According to our database1, Alessandro Finamore authored at least 71 papers between 2009 and 2024.

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Bibliography

2024
Benchmarking Class Incremental Learning in Deep Learning Traffic Classification.
IEEE Trans. Netw. Serv. Manag., February, 2024

Fine-grained Attention in Hierarchical Transformers for Tabular Time-series.
CoRR, 2024

Information Theoretic Text-to-Image Alignment.
CoRR, 2024

Data Augmentation for Traffic Classification.
Proceedings of the Passive and Active Measurement - 25th International Conference, 2024

2023
How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models.
Entropy, April, 2023

Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation.
CoRR, 2023

"It's a Match!" - A Benchmark of Task Affinity Scores for Joint Learning.
CoRR, 2023

Many or Few Samples?: Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification.
Proceedings of the 7th Network Traffic Measurement and Analysis Conference, 2023

Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation.
Proceedings of the 2023 ACM on Internet Measurement Conference, 2023

Toward Generative Data Augmentation for Traffic Classification.
Proceedings of the on CoNEXT Student Workshop 2023, 2023

2022
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification.
CoRR, 2022

AppClassNet: a commercial-grade dataset for application identification research.
Comput. Commun. Rev., 2022

Accelerating Deep Learning Classification with Error-controlled Approximate-key Caching.
Proceedings of the IEEE INFOCOM 2022, 2022

Towards a systematic multi-modal representation learning for network data.
Proceedings of the 21st ACM Workshop on Hot Topics in Networks, 2022

2021
Are we breaking bubbles as we move? Using a large sample to explore the relationship between urban mobility and segregation.
Comput. Environ. Urban Syst., 2021

Deep Learning and Zero-Day Traffic Classification: Lessons Learned From a Commercial-Grade Dataset.
IEEE Trans. Netw. Serv. Manag., 2021

Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications.
CoRR, 2021

A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification.
Proceedings of the 5th Network Traffic Measurement and Analysis Conference, 2021

FENXI: Deep-learning Traffic Analytics at the edge.
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

Towards a generic deep learning pipeline for traffic measurements.
Proceedings of the CoNEXT-SW '21: Proceedings of the CoNEXT Student Workshop, 2021

2020
Back in control - An extensible middle-box on your phone.
CoRR, 2020

Where Things Roam: Uncovering Cellular IoT/M2M Connectivity.
CoRR, 2020

Real-time deep learning based traffic analytics.
Proceedings of the SIGCOMM '20: ACM SIGCOMM 2020 Conference, 2020

Opening the Deep Pandora Box: Explainable Traffic Classification.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Where Things Roam: Uncovering Cellular IoT/M2M Connectivity.
Proceedings of the IMC '20: ACM Internet Measurement Conference, 2020

2019
Generalizing Critical Path Analysis on Mobile Traffic.
CoRR, 2019

Tackling Mobile Traffic Critical Path Analysis With Passive and Active Measurements.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2019

2018
CHIMP: Crowdsourcing Human Inputs for Mobile Phones.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017
Traffic Analysis with Off-the-Shelf Hardware: Challenges and Lessons Learned.
IEEE Commun. Mag., 2017

Mind the Gap Between HTTP and HTTPS in Mobile Networks.
Proceedings of the Passive and Active Measurement - 18th International Conference, 2017

The Good, the Bad, and the KPIs: How to Combine Performance Metrics to Better Capture Underperforming Sectors in Mobile Networks.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Dissecting DNS Stakeholders in Mobile Networks.
Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies, 2017

2016
Measuring and Troubleshooting the Internet: Algorithms, Tools and Applications.
IEEE J. Sel. Areas Commun., 2016

Lost in Space: Improving Inference of IPv4 Address Space Utilization.
IEEE J. Sel. Areas Commun., 2016

A study of the impact of DNS resolvers on CDN performance using a causal approach.
Comput. Networks, 2016

Statistical network monitoring: Methodology and application to carrier-grade NAT.
Comput. Networks, 2016

A First Characterization of Anycast Traffic from Passive Traces.
Proceedings of the Traffic Monitoring and Analysis - 8th International Workshop, 2016

Is the Web HTTP/2 Yet?
Proceedings of the Passive and Active Measurement - 17th International Conference, 2016

2015
To HTTP/2, or Not To HTTP/2, That Is The Question.
CoRR, 2015

A First Look at Anycast CDN Traffic.
CoRR, 2015

A Study of the Impact of DNS Resolvers on Performance Using a Causal Approach.
Proceedings of the 27th International Teletraffic Congress, 2015

Impact of Carrier-Grade NAT on web browsing.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2015

Macroscopic view of malware in home networks.
Proceedings of the 12th Annual IEEE Consumer Communications and Networking Conference, 2015

2014
When YouTube Does not Work - Analysis of QoE-Relevant Degradation in Google CDN Traffic.
IEEE Trans. Netw. Serv. Manag., 2014

Lost in Space: Improving Inference of IPv4 Address Space Utilization.
CoRR, 2014

Energy efficiency in access and aggregation networks: From current traffic to potential savings.
Comput. Networks, 2014

Gold Mining in a River of Internet Content Traffic.
Proceedings of the Traffic Monitoring and Analysis - 6th International Workshop, 2014

On the detection of network traffic anomalies in content delivery network services.
Proceedings of the 2014 26th International Teletraffic Congress (ITC), 2014

Who to blame when YouTube is not working? detecting anomalies in CDN-provisioned services.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2014

DBStream: An online aggregation, filtering and processing system for network traffic monitoring.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2014

YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points.
Proceedings of the European Conference on Networks and Communications, 2014

The Cost of the "S" in HTTPS.
Proceedings of the 10th ACM International on Conference on emerging Networking Experiments and Technologies, 2014

On the analysis of QoE-based performance degradation in YouTube traffic.
Proceedings of the 10th International Conference on Network and Service Management, 2014

Large-scale network traffic monitoring with DBStream, a system for rolling big data analysis.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Reviewing Traffic Classification.
Proceedings of the Data Traffic Monitoring and Analysis, 2013

When assistance becomes dependence: characterizing the costs and inefficiencies of A-GPS.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2013

I Tube, YouTube, P2PTube: Assessing ISP benefits of peer-assisted caching of YouTube content.
Proceedings of the 13th IEEE International Conference on Peer-to-Peer Computing, 2013

Is there a case for mobile phone content pre-staging?
Proceedings of the Conference on emerging Networking Experiments and Technologies, 2013

2012
Characterization of ISP Traffic: Trends, User Habits, and Access Technology Impact.
IEEE Trans. Netw. Serv. Manag., 2012

Uncovering the Big Players of the Web.
Proceedings of the Traffic Monitoring and Analysis - 4th International Workshop, 2012

Breaking for commercials: characterizing mobile advertising.
Proceedings of the 12th ACM SIGCOMM Internet Measurement Conference, 2012

2011
Experiences of internet traffic monitoring with tstat.
IEEE Netw., 2011

Mining Unclassified Traffic Using Automatic Clustering Techniques.
Proceedings of the Traffic Monitoring and Analysis - Third International Workshop, 2011

YouTube everywhere: impact of device and infrastructure synergies on user experience.
Proceedings of the 11th ACM SIGCOMM Internet Measurement Conference, 2011

Dissecting Video Server Selection Strategies in the YouTube CDN.
Proceedings of the 2011 International Conference on Distributed Computing Systems, 2011

2010
KISS: Stochastic Packet Inspection Classifier for UDP Traffic.
IEEE/ACM Trans. Netw., 2010

Live Traffic Monitoring with Tstat: Capabilities and Experiences.
Proceedings of the Wired/Wireless Internet Communications, 8th International Conference, 2010

Kiss to Abacus: A Comparison of P2P-TV Traffic Classifiers.
Proceedings of the Traffic Monitoring and Analysis, Second International Workshop, 2010

Stochastic Packet Inspection for TCP Traffic.
Proceedings of IEEE International Conference on Communications, 2010

Comparing P2PTV Traffic Classifiers.
Proceedings of IEEE International Conference on Communications, 2010

2009
KISS: Stochastic Packet Inspection.
Proceedings of the Traffic Monitoring and Analysis, First International Workshop, 2009


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