Paolo Garza

Orcid: 0000-0002-1263-7522

Affiliations:
  • Polytechnic University of Turin, Italy


According to our database1, Paolo Garza authored at least 112 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1.
CoRR, 2024

M3-VRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding.
CoRR, 2024

CaBuAr: California Burned Areas dataset for delineation.
CoRR, 2024

DQNC2S: DQN-Based Cross-Stream Crisis Event Summarizer.
Proceedings of the Advances in Information Retrieval, 2024

BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Density-Based Clustering by Means of Bridge Point Identification.
IEEE Trans. Knowl. Data Eng., November, 2023

Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition.
Expert Syst. Appl., April, 2023

PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

A Novel DB CASE Tool for Relational Databases.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

ViGEO: an Assessment of Vision GNNs in Earth Observation.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Real-Time Classification of Real-Time Communications.
IEEE Trans. Netw. Serv. Manag., December, 2022

Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach.
IEEE Trans. Intell. Transp. Syst., 2022

Leveraging Explainable AI to Support Cryptocurrency Investors.
Future Internet, 2022

Retina: An open-source tool for flexible analysis of RTC traffic.
Comput. Networks, 2022

Leveraging multimodal content for podcast summarization.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Vision Transformers for Burned Area Delineation.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), 2022

ViPER: Video-based Perceiver for Emotion Recognition.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers' Genders.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

How Much Attention Should we Pay to Mosquitoes?
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Mining spatiotemporally invariant patterns.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Additional Reviewer Assignment by Means of Weighted Association Rules.
IEEE Trans. Emerg. Top. Comput., 2021

What's my App?: ML-based classification of RTC applications.
SIGMETRICS Perform. Evaluation Rev., 2021

PoliTO at TREC 2021 Podcast Summarization Track.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Double-Step deep learning framework to improve wildfire severity classification.
Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

Online Classification of RTC Traffic.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

Cross-lingual timeline summarization.
Proceedings of the Fourth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2021

2020
Effective video hyperlinking by means of enriched feature sets and monomodal query combinations.
Int. J. Multim. Inf. Retr., 2020

Training ensembles of faceted classification models for quantitative stock trading.
Computing, 2020

Real-time Object Detection and Tracking in Mixed Reality using Microsoft HoloLens.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Price series cross-correlation analysis to enhance the diversification of itemset-based stock portfolios.
Proceedings of the Sixth International Workshop on Data Science for Macro-Modeling, 2020

An explainable data-driven approach to web directory taxonomy mapping.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment.
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

DSLE: A Smart Platform for Designing Data Science Competitions.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis.
ACM Trans. Inf. Syst., 2019

Quantitative cryptocurrency trading: exploring the use of machine learning techniques.
Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

Unsupervised Burned Area Estimation through Satellite Tiles: A Multimodal Approach by Means of Image Segmentation over Remote Sensing Imagery.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), 2019

AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Adaptive Hierarchical Clustering for Petrographic Image Analysis.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

CarPredictor: Forecasting the Number of Free Floating Car Sharing Vehicles within Restricted Urban Areas.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019

2018
Discovering cross-topic collaborations among researchers by exploiting weighted association rules.
Scientometrics, 2018

Characterizing unpredictable patterns in Wireless Sensor Network data.
Inf. Sci., 2018

Deep Learning Models for Passability Detection of Flooded Roads.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences.
Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018

Study of the Applicability of an Itemset-Based Portfolio Planner in a Multi-Market Context.
Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018), 2018

A Density-based Preprocessing Technique to Scale Out Clustering.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Scaling associative classification for very large datasets.
J. Big Data, 2017

Discovering profitable stocks for intraday trading.
Inf. Sci., 2017

Planning stock portfolios by means of weighted frequent itemsets.
Expert Syst. Appl., 2017

Predicting critical conditions in bicycle sharing systems.
Computing, 2017

Frequent Itemsets Mining for Big Data: A Comparative Analysis.
Big Data Res., 2017

A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data.
Big Data Res., 2017

Eurecom-Polito at TRECVID 2017: Hyperlinking task.
Proceedings of the 2017 TREC Video Retrieval Evaluation, 2017

Identifying Collaborations among Researchers: a pattern-based approach.
Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

SQL versus NoSQL databases for geospatial applications.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Discovering High-Utility Itemsets at Multiple Abstraction Levels.
Proceedings of the New Trends in Databases and Information Systems, 2017

2016
SeLINA: A Self-Learning Insightful Network Analyzer.
IEEE Trans. Netw. Serv. Manag., 2016

Characterization and search of web services through intensional knowledge.
J. Intell. Inf. Syst., 2016

Eurecom-Polito at TRECVID 2016: Hyperlinking Tasks.
Proceedings of the 2016 TREC Video Retrieval Evaluation, 2016

Modeling Correlations among Air Pollution-Related Data through Generalized Association Rules.
Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016

SaFe-NeC: A scalable and flexible system for network data characterization.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Analyzing air pollution on the urban environment.
Proceedings of the 39th International Convention on Information and Communication Technology, 2016

Discovering air quality patterns in urban environments.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

BAC: A Bagged Associative Classifier for Big Data Frameworks.
Proceedings of the New Trends in Databases and Information Systems, 2016

Reducing Big Data by Means of Context-Aware Tailoring.
Proceedings of the New Trends in Databases and Information Systems, 2016

2015
MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets.
ACM Trans. Inf. Syst., 2015

MeTA: Characterization of Medical Treatments at Different Abstraction Levels.
ACM Trans. Intell. Syst. Technol., 2015

An Expert CAD Flow for Incremental Functional Diagnosis of Complex Electronic Boards.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015

Pattern set mining with schema-based constraint.
Knowl. Based Syst., 2015

Digging deep into weighted patient data through multiple-level patterns.
Inf. Sci., 2015

PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

PaWI: Parallel Weighted Itemset Mining by Means of MapReduce.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

A Review of Scalable Approaches for Frequent Itemset Mining.
Proceedings of the New Trends in Databases and Information Systems, 2015

2014
Infrequent Weighted Itemset Mining Using Frequent Pattern Growth.
IEEE Trans. Knowl. Data Eng., 2014

Twitter data analysis by means of Strong Flipping Generalized Itemsets.
J. Syst. Softw., 2014

Expressive generalized itemsets.
Inf. Sci., 2014

Misleading Generalized Itemset discovery.
Expert Syst. Appl., 2014

NEMICO: Mining Network Data through Cloud-Based Data Mining Techniques.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

MGI-Cloud: discovery of misleading generalized itemsets.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Misleading Generalized Itemset Mining in the Cloud.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2014

2013
EnBay: A Novel Pattern-Based Bayesian Classifier.
IEEE Trans. Knowl. Data Eng., 2013

Itemset generalization with cardinality-based constraints.
Inf. Sci., 2013

Improving classification models with taxonomy information.
Data Knowl. Eng., 2013

A data mining approach to incremental adaptive functional diagnosis.
Proceedings of the 2013 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2013

Frequent weighted itemset mining from gene expression data.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

Hadoop on a Low-Budget General Purpose HPC Cluster in Academia.
Proceedings of the New Trends in Databases and Information Systems, 2013

2012
Generalized association rule mining with constraints.
Inf. Sci., 2012

I-prune: Item selection for associative classification.
Int. J. Intell. Syst., 2012

2011
CAS-Mine: providing personalized services in context-aware applications by means of generalized rules.
Knowl. Inf. Syst., 2011

Semi-Automatic Ontology Construction by Exploiting Functional Dependencies and Association Rules.
Int. J. Semantic Web Inf. Syst., 2011

Structured data classification by means of matrix factorization.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
TOD: Temporal outlier detection by using quasi-functional temporal dependencies.
Data Knowl. Eng., 2010

Support driven opportunistic aggregation for generalized itemset extraction.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

2009
Generalized Association Rules to Support Context-aware User and Service Profiling.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Context-Aware User and Service Profiling by Means of Generalized Association Rules.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

2008
A Lazy Approach to Associative Classification.
IEEE Trans. Knowl. Data Eng., 2008

2007
Answering XML queries by means of data summaries.
ACM Trans. Inf. Syst., 2007

Anomaly detection through quasi-functional dependency analysis.
J. Digit. Inf. Manag., 2007

RADAR: Research of Anomalous Data through Association Rules.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

Anomaly Detection in XML databases by means of Association Rules.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

2006
Associative text categorization exploiting negated words.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

2005
Associative classification algorithms.
PhD thesis, 2005

2004
Answering Queries on XML Data by means of Association Rules.
Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004

On support thresholds in associative classification.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Summarizing XML Data by Means of Association Rules.
Proceedings of the Current Trends in Database Technology - EDBT 2004 Workshops, 2004

2003
Majority Classification by Means of Association Rules.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Towards Feasible Topology Formation Algorithms for Bluetooth-based WPANs.
Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS-36 2003), 2003

2002
Accurate Classification by means of Association Rules.
Proceedings of the Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2002

A Lazy Approach to Pruning Classification Rules.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002


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