Paolo Garza

149 papers A* 3A 3B 4C 5Misc 4Journal 67Unranked 62
YearRankTypeTitle / Venue / Authors
2026 J jnl
Losses that Cook: Topological Optimal Transport for Structured Recipe Generation.
CoRR
Mattia Ottoborgo, Daniele Rege Cambrin, Paolo Garza
2026 J jnl
One Is Enough: Efficient Modeling of RTP Traffic for QoS Predictions in Real-Time Communications.
IEEE Trans. Netw.
Tailai Song, Paolo Garza, Michela Meo, Maurizio Matteo Munafò
2025 J jnl
Cross-modal consistency types in multimodal social data.
Knowl. Based Syst.
Lorenzo Vaiani, Luca Cagliero, Paolo Garza, Jason Ravagli
2025 J jnl
Discovering SpatioTemporally Invariant Event Patterns From Mobility Data.
IEEE Trans. Intell. Transp. Syst.
Luca Colomba, Luca Cagliero, Paolo Garza
2025 — conf
HydroChronos: Forecasting Decades of Surface Water Change.
SIGSPATIAL/GIS
Daniele Rege Cambrin, Eleonora Poeta, Eliana Pastor, Isaac Corley, Tania Cerquitelli, Elena Baralis, Paolo Garza
2025 J jnl
HydroChronos: Forecasting Decades of Surface Water Change.
CoRR
Daniele Rege Cambrin, Eleonora Poeta, Eliana Pastor, Isaac Corley, Tania Cerquitelli, Elena Baralis, Paolo Garza
2025 A conf
KIEPrompter: Leveraging Lightweight Models' Predictions for Cost-Effective Key Information Extraction using Vision LLMs.
CIKM
Lorenzo Vaiani, Yihao Ding, Luca Cagliero, Jean Lee, Paolo Garza, Josiah Poon, Soyeon Caren Han
2025 J jnl
Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation.
CoRR
Daniele Rege Cambrin, Luca Colomba, Paolo Garza
2025 J jnl
Magnifier: A Multigrained Neural Network-Based Architecture for Burned Area Delineation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Daniele Rege Cambrin, Luca Colomba, Paolo Garza
2025 J jnl
Multi Stage Retrieval for Web Search During Crisis.
Future Internet
Claudiu Constantin Tcaciuc, Daniele Rege Cambrin, Paolo Garza
2025 J jnl
Packet Loss in Real-Time Communications: Can ML Tame Its Unpredictable Nature?
IEEE Trans. Netw. Serv. Manag.
Tailai Song, Gianluca Perna, Paolo Garza, Michela Meo, Maurizio Matteo Munafò
2025 J jnl
Text-to-Remote-Sensing-Image Retrieval beyond RGB Sources.
CoRR
Daniele Rege Cambrin, Lorenzo Vaiani, Giuseppe Gallipoli, Luca Cagliero, Paolo Garza
2025 — conf
Turin3D: Evaluating Adaptation Strategies under Label Scarcity in Urban LiDAR Segmentation with Semi-Supervised Techniques.
CVPR Workshops
Luca Barco, Giacomo Blanco, Gaetano Chiriaco, Alessia Intini, Luigi La Riccia, Vittorio Scolamiero, Piero Boccardo, Paolo Garza, Fabrizio Dominici
2025 J jnl
Turin3D: Evaluating Adaptation Strategies under Label Scarcity in Urban LiDAR Segmentation with Semi-Supervised Techniques.
CoRR
Luca Barco, Giacomo Blanco, Gaetano Chiriaco, Alessia Intini, Luigi La Riccia, Vittorio Scolamiero, Piero Boccardo, Paolo Garza, Fabrizio Dominici
2024 — conf
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding.
ACL (Findings)
Yihao Ding, Lorenzo Vaiani, Soyeon Caren Han, Jean Lee, Paolo Garza, Josiah Poon, Luca Cagliero
2024 — conf
Benchmarking Representations for Speech, Music, and Acoustic Events.
ICASSP Workshops
Moreno La Quatra, Alkis Koudounas, Lorenzo Vaiani, Elena Baralis, Luca Cagliero, Paolo Garza, Sabato Marco Siniscalchi
2024 J jnl
Benchmarking Representations for Speech, Music, and Acoustic Events.
CoRR
Moreno La Quatra, Alkis Koudounas, Lorenzo Vaiani, Elena Baralis, Luca Cagliero, Paolo Garza, Sabato Marco Siniscalchi
2024 — conf
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning.
EMNLP (Findings)
Daniele Rege Cambrin, Giuseppe Gallipoli, Irene Benedetto, Luca Cagliero, Paolo Garza
2024 J jnl
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning.
CoRR
Daniele Rege Cambrin, Giuseppe Gallipoli, Irene Benedetto, Luca Cagliero, Paolo Garza
2024 — conf
BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications.
CCNC
Tailai Song, Gianluca Perna, Paolo Garza, Michela Meo, Maurizio Matteo Munafò
2024 J jnl
CaBuAr: California Burned Areas dataset for delineation.
CoRR
Daniele Rege Cambrin, Luca Colomba, Paolo Garza
2024 — conf
DQNC2S: DQN-Based Cross-Stream Crisis Event Summarizer.
ECIR (3)
Daniele Rege Cambrin, Luca Cagliero, Paolo Garza
2024 J jnl
DQNC2S: DQN-based Cross-stream Crisis event Summarizer.
CoRR
Daniele Rege Cambrin, Luca Cagliero, Paolo Garza
2024 J jnl
DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes.
Comput. Networks
Tailai Song, Paolo Garza, Michela Meo, Maurizio M. Munafò
2024 — conf
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation.
ECCV Workshops (2)
Daniele Rege Cambrin, Isaac Corley, Paolo Garza
2024 J jnl
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation.
CoRR
Daniele Rege Cambrin, Isaac Corley, Paolo Garza
2024 J jnl
Emotion Recognition from Videos Using Multimodal Large Language Models.
Future Internet
Lorenzo Vaiani, Luca Cagliero, Paolo Garza
2024 J jnl
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking.
CoRR
Daniele Rege Cambrin, Isaac Corley, Paolo Garza, Peyman Najafirad
2024 — conf
Ground-Based Contrail Detection by Means of Computer Vision Models: A Comparison Between Visible and Infrared Images.
RTSI
Paolo Pertino, Leonardo Pavarino, Simone Lomolino, Enrico Miotto, Daniele Rege Cambrin, Paolo Garza, Emanuele Ogliari
2024 — conf
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation.
ECCV Workshops (3)
Daniele Rege Cambrin, Eleonora Poeta, Eliana Pastor, Tania Cerquitelli, Elena Baralis, Paolo Garza
2024 J jnl
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation.
CoRR
Daniele Rege Cambrin, Eleonora Poeta, Eliana Pastor, Tania Cerquitelli, Elena Baralis, Paolo Garza
2024 — conf
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment.
ECCV Workshops (2)
Daniele Rege Cambrin, Gabriele Scaffidi Militone, Luca Colomba, Giovanni Malnati, Daniele Apiletti, Paolo Garza
2024 J jnl
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment.
CoRR
Daniele Rege Cambrin, Gabriele Scaffidi Militone, Luca Colomba, Giovanni Malnati, Daniele Apiletti, Paolo Garza
2024 J jnl
M3-VRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding.
CoRR
Yihao Ding, Lorenzo Vaiani, Soyeon Caren Han, Jean Lee, Paolo Garza, Josiah Poon, Luca Cagliero
2024 C conf
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications.
ISM
Tailai Song, Paolo Garza, Michela Meo, Maurizio Matteo Munafò
2024 J jnl
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications.
CoRR
Tailai Song, Paolo Garza, Michela Meo, Maurizio Matteo Munafò
2024 — conf
Paraphrase Loss for Abstractive Summarization.
Tiny Papers @ ICLR
Daniele Rege Cambrin, Paolo Garza
2024 J jnl
QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1.
CoRR
Daniele Rege Cambrin, Paolo Garza
2024 C conf
Throughput Prediction in Real-Time Communications: Spotlight on Traffic Extremes.
ISCC
Tailai Song, Paolo Garza, Michela Meo, Maurizio Matteo Munafò
2024 C conf
Towards the Detection of Unobservable Losses in Real-Time Communications.
LANMAN
Tailai Song, Paolo Garza, Michela Meo, Maurizio Matteo Munafò
2024 J jnl
ViGEO: an Assessment of Vision GNNs in Earth Observation.
CoRR
Luca Colomba, Paolo Garza
2023 — conf
A Novel DB CASE Tool for Relational Databases.
SEBD
Andrea Avignone, Silvia Chiusano, Alessandro Fiori, Paolo Garza, Emanuele Marchetta
2023 J jnl
Density-Based Clustering by Means of Bridge Point Identification.
IEEE Trans. Knowl. Data Eng.
Luca Colomba, Luca Cagliero, Paolo Garza
2023 — conf
PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation.
SemEval@ACL
Lorenzo Vaiani, Luca Cagliero, Paolo Garza
2023 J jnl
Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition.
Expert Syst. Appl.
Luca Cagliero, Jacopo Fior, Paolo Garza
2023 — conf
ViGEO: an Assessment of Vision GNNs in Earth Observation.
ICDM (Workshops)
Luca Colomba, Paolo Garza
2022 A conf
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery.
CIKM
Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli
2022 J jnl
Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach.
IEEE Trans. Intell. Transp. Syst.
Elena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza
2022 A* conf
How Much Attention Should we Pay to Mosquitoes?
ACM Multimedia
Moreno La Quatra, Lorenzo Vaiani, Alkis Koudounas, Luca Cagliero, Paolo Garza, Elena Baralis
2022 J jnl
Leveraging Explainable AI to Support Cryptocurrency Investors.
Future Internet
Jacopo Fior, Luca Cagliero, Paolo Garza
2022 Misc conf
Leveraging multimodal content for podcast summarization.
SAC
Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza
2022 — conf
Mining spatiotemporally invariant patterns.
SIGSPATIAL/GIS
Luca Colomba, Luca Cagliero, Paolo Garza
2022 J jnl
Real-Time Classification of Real-Time Communications.
IEEE Trans. Netw. Serv. Manag.
Gianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio M. Munafò, Giovanna Carofiglio
2022 J jnl
Retina: An open-source tool for flexible analysis of RTC traffic.
Comput. Networks
Gianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio M. Munafò
2022 — conf
Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers' Genders.
MuSe @ ACM Multimedia
Lorenzo Vaiani, Alkis Koudounas, Moreno La Quatra, Luca Cagliero, Paolo Garza, Elena Baralis
2022 — conf
ViPER: Video-based Perceiver for Emotion Recognition.
MuSe @ ACM Multimedia
Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza
2022 — conf
Vision Transformers for Burned Area Delineation.
MACLEAN@PKDD/ECML
Daniele Rege Cambrin, Luca Colomba, Paolo Garza
2021 J jnl
Additional Reviewer Assignment by Means of Weighted Association Rules.
IEEE Trans. Emerg. Top. Comput.
Luca Cagliero, Paolo Garza, Andrea Pasini, Elena Baralis
2021 — conf
Cross-lingual timeline summarization.
AIKE
Luca Cagliero, Moreno La Quatra, Paolo Garza, Elena Baralis
2021 A* conf
DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets.
ICDE
Matteo Corain, Paolo Garza, Abolfazl Asudeh
2021 — conf
Double-Step deep learning framework to improve wildfire severity classification.
EDBT/ICDT Workshops
Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis
2021 — conf
Online Classification of RTC Traffic.
CCNC
Gianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio M. Munafò, Giovanna Carofiglio
2021 — conf
PoliTO at TREC 2021 Podcast Summarization Track.
TREC
Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza
2021 J jnl
What's my App?: ML-based classification of RTC applications.
SIGMETRICS Perform. Evaluation Rev.
Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio M. Munafò, Giovanna Carofiglio
2020 B conf
An explainable data-driven approach to web directory taxonomy mapping.
KES
Elena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero
2020 — conf
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment.
EDBT/ICDT Workshops
Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis
2020 B conf
DSLE: A Smart Platform for Designing Data Science Competitions.
COMPSAC
Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Chiusano
2020 J jnl
Effective video hyperlinking by means of enriched feature sets and monomodal query combinations.
Int. J. Multim. Inf. Retr.
Mohammad Reza Kavoosifar, Daniele Apiletti, Elena Baralis, Paolo Garza, Benoit Huet
2020 — conf
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images.
IEEE BigData
Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Baralis
2020 — conf
Price series cross-correlation analysis to enhance the diversification of itemset-based stock portfolios.
DSMM@SIGMOD
Jacopo Fior, Luca Cagliero, Paolo Garza
2020 — conf
Real-time Object Detection and Tracking in Mixed Reality using Microsoft HoloLens.
VISIGRAPP (4: VISAPP)
Alessandro Farasin, Francesco Peciarolo, Marco Grangetto, Elena Gianaria, Paolo Garza
2020 J jnl
Training ensembles of faceted classification models for quantitative stock trading.
Computing
Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis
2019 — conf
AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data.
MediaEval
Mirko Zaffaroni, Laura Lopez-Fuentes, Alessandro Farasin, Paolo Garza, Harald Skinnemoen
2019 — conf
Adaptive Hierarchical Clustering for Petrographic Image Analysis.
EDBT/ICDT Workshops
Andrea Pasini, Elena Baralis, Paolo Garza, Davide Floriello, Michela Idiomi, Andrea Ortenzi, Simone Ricci
2019 — conf
CarPredictor: Forecasting the Number of Free Floating Car Sharing Vehicles within Restricted Urban Areas.
BigData Congress
Luca Cagliero, Silvia Chiusano, Elena Daraio, Paolo Garza
2019 — conf
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal.
ICDM Workshops
Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis
2019 J jnl
ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis.
ACM Trans. Inf. Syst.
Luca Cagliero, Paolo Garza, Elena Baralis
2019 — conf
Quantitative cryptocurrency trading: exploring the use of machine learning techniques.
DSMM@SIGMOD
Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis
2019 — conf
Unsupervised Burned Area Estimation through Satellite Tiles: A Multimodal Approach by Means of Image Segmentation over Remote Sensing Imagery.
MACLEAN@PKDD/ECML
Alessandro Farasin, Giovanni Nini, Paolo Garza, Claudio Rossi
2018 — conf
A Density-based Preprocessing Technique to Scale Out Clustering.
IEEE BigData
Elena Baralis, Paolo Garza, Eliana Pastor
2018 J jnl
Characterizing unpredictable patterns in Wireless Sensor Network data.
Inf. Sci.
Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Antonio Attanasio
2018 — conf
Deep Learning Models for Passability Detection of Flooded Roads.
MediaEval
Laura Lopez-Fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza
2018 J jnl
Discovering cross-topic collaborations among researchers by exploiting weighted association rules.
Scientometrics
Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis
2018 — conf
PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences.
ISCRAM
Alessandro Farasin, Paolo Garza
2018 J jnl
Scaling associative classification for very large datasets.
CoRR
Luca Venturini, Elena Baralis, Paolo Garza
2018 — conf
Study of the Applicability of an Itemset-Based Portfolio Planner in a Multi-Market Context.
EDBT/ICDT Workshops
Luca Cagliero, Paolo Garza
2017 J jnl
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data.
Big Data Res.
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Pietro Michiardi
2017 — conf
Discovering High-Utility Itemsets at Multiple Abstraction Levels.
ADBIS (Short Papers and Workshops)
Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero
2017 J jnl
Discovering profitable stocks for intraday trading.
Inf. Sci.
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti
2017 — conf
Eurecom-Polito at TRECVID 2017: Hyperlinking task.
TRECVID
Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar
2017 J jnl
Frequent Itemsets Mining for Big Data: A Comparative Analysis.
Big Data Res.
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Luca Venturini
2017 — conf
Identifying Collaborations among Researchers: a pattern-based approach.
BIRNDL@SIGIR (1)
Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis
2017 J jnl
Planning stock portfolios by means of weighted frequent itemsets.
Expert Syst. Appl.
Elena Baralis, Luca Cagliero, Paolo Garza
2017 J jnl
Predicting critical conditions in bicycle sharing systems.
Computing
Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Xin Xiao
2017 — conf
SQL versus NoSQL databases for geospatial applications.
IEEE BigData
Elena Baralis, Andrea Dalla Valle, Paolo Garza, Claudio Rossi, Francesco Scullino
2017 J jnl
Scaling associative classification for very large datasets.
J. Big Data
Luca Venturini, Elena Baralis, Paolo Garza
2016 — conf
Analyzing air pollution on the urban environment.
MIPRO
Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Mohammad Reza Kavoosifar
2016 — conf
BAC: A Bagged Associative Classifier for Big Data Frameworks.
ADBIS (Short Papers and Workshops)
Luca Venturini, Paolo Garza, Daniele Apiletti
2016 J jnl
Characterization and search of web services through intensional knowledge.
J. Intell. Inf. Syst.
Devis Bianchini, Paolo Garza, Elisa Quintarelli
2016 — conf
Discovering air quality patterns in urban environments.
UbiComp Adjunct
Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero
2016 — conf
Eurecom-Polito at TRECVID 2016: Hyperlinking Tasks.
TRECVID
Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar
2016 B conf
Modeling Correlations among Air Pollution-Related Data through Generalized Association Rules.
SMARTCOMP
Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero, Xin Xiao
2016 — conf
Reducing Big Data by Means of Context-Aware Tailoring.
ADBIS (Short Papers and Workshops)
Paolo Garza, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca
2016 B conf
SaFe-NeC: A scalable and flexible system for network data characterization.
NOMS
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Luca Venturini
2016 J jnl
SeLINA: A Self-Learning Insightful Network Analyzer.
IEEE Trans. Netw. Serv. Manag.
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Danilo Giordano, Marco Mellia, Luca Venturini
2015 — conf
A Review of Scalable Approaches for Frequent Itemset Mining.
ADBIS (Short Papers and Workshops)
Daniele Apiletti, Paolo Garza, Fabio Pulvirenti
2015 J jnl
An Expert CAD Flow for Incremental Functional Diagnosis of Complex Electronic Boards.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Cristiana Bolchini, Luca Cassano, Paolo Garza, Elisa Quintarelli, Fabio Salice
2015 J jnl
Digging deep into weighted patient data through multiple-level patterns.
Inf. Sci.
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza
2015 J jnl
MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets.
ACM Trans. Inf. Syst.
Elena Baralis, Luca Cagliero, Alessandro Fiori, Paolo Garza
2015 J jnl
MeTA: Characterization of Medical Treatments at Different Abstraction Levels.
ACM Trans. Intell. Syst. Technol.
Dario Antonelli, Elena Baralis, Giulia Bruno, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Naeem Ahmed Mahoto
2015 — conf
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data.
ICDM Workshops
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Pietro Michiardi, Fabio Pulvirenti
2015 — conf
PaWI: Parallel Weighted Itemset Mining by Means of MapReduce.
BigData Congress
Elena Baralis, Luca Cagliero, Paolo Garza, Luigi Grimaudo
2015 J jnl
Pattern set mining with schema-based constraint.
Knowl. Based Syst.
Luca Cagliero, Silvia Chiusano, Paolo Garza, Giulia Bruno
2014 J jnl
Expressive generalized itemsets.
Inf. Sci.
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza
2014 J jnl
Infrequent Weighted Itemset Mining Using Frequent Pattern Growth.
IEEE Trans. Knowl. Data Eng.
Luca Cagliero, Paolo Garza
2014 — conf
MGI-Cloud: discovery of misleading generalized itemsets.
SEBD
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo, Fabio Pulvirenti, Paolo Garza
2014 C conf
Misleading Generalized Itemset Mining in the Cloud.
ISPA
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti
2014 J jnl
Misleading Generalized Itemset discovery.
Expert Syst. Appl.
Luca Cagliero, Tania Cerquitelli, Paolo Garza, Luigi Grimaudo
2014 Misc conf
NEMICO: Mining Network Data through Cloud-Based Data Mining Techniques.
UCC
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti
2014 J jnl
Twitter data analysis by means of Strong Flipping Generalized Itemsets.
J. Syst. Softw.
Luca Cagliero, Tania Cerquitelli, Paolo Garza, Luigi Grimaudo
2013 — conf
A data mining approach to incremental adaptive functional diagnosis.
DFTS
Cristiana Bolchini, Elisa Quintarelli, Fabio Salice, Paolo Garza
2013 J jnl
EnBay: A Novel Pattern-Based Bayesian Classifier.
IEEE Trans. Knowl. Data Eng.
Elena Baralis, Luca Cagliero, Paolo Garza
2013 C conf
Frequent weighted itemset mining from gene expression data.
BIBE
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza
2013 — conf
Hadoop on a Low-Budget General Purpose HPC Cluster in Academia.
ADBIS (2)
Paolo Garza, Paolo Margara, Nicolò Nepote, Luigi Grimaudo, Elio Piccolo
2013 J jnl
Improving classification models with taxonomy information.
Data Knowl. Eng.
Luca Cagliero, Paolo Garza
2013 J jnl
Itemset generalization with cardinality-based constraints.
Inf. Sci.
Luca Cagliero, Paolo Garza
2012 J jnl
Generalized association rule mining with constraints.
Inf. Sci.
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza
2012 J jnl
I-prune: Item selection for associative classification.
Int. J. Intell. Syst.
Elena Baralis, Paolo Garza
2011 J jnl
CAS-Mine: providing personalized services in context-aware applications by means of generalized rules.
Knowl. Inf. Syst.
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti
2011 J jnl
Semi-Automatic Ontology Construction by Exploiting Functional Dependencies and Association Rules.
Int. J. Semantic Web Inf. Syst.
Luca Cagliero, Tania Cerquitelli, Paolo Garza
2011 A conf
Structured data classification by means of matrix factorization.
CIKM
Paolo Garza
2010 — conf
Support driven opportunistic aggregation for generalized itemset extraction.
IEEE Conf. of Intelligent Systems
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza
2010 J jnl
TOD: Temporal outlier detection by using quasi-functional temporal dependencies.
Data Knowl. Eng.
Giulia Bruno, Paolo Garza
2009 — conf
Context-Aware User and Service Profiling by Means of Generalized Association Rules.
KES (2)
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti
2009 — conf
Generalized Association Rules to Support Context-aware User and Service Profiling.
SEBD
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti
2008 J jnl
A Lazy Approach to Associative Classification.
IEEE Trans. Knowl. Data Eng.
Elena Baralis, Silvia Chiusano, Paolo Garza
2007 — conf
Anomaly Detection in XML databases by means of Association Rules.
DEXA Workshops
Giulia Bruno, Paolo Garza, Elisa Quintarelli, Rosalba Rossato
2007 J jnl
Anomaly detection through quasi-functional dependency analysis.
J. Digit. Inf. Manag.
Giulia Bruno, Paolo Garza, Elisa Quintarelli, Rosalba Rossato
2007 J jnl
Answering XML queries by means of data summaries.
ACM Trans. Inf. Syst.
Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca
2007 — conf
RADAR: Research of Anomalous Data through Association Rules.
SEBD
Giulia Bruno, Paolo Garza, Elisa Quintarelli, Rosalba Rossato
2006 Misc conf
Associative text categorization exploiting negated words.
SAC
Elena Baralis, Paolo Garza
2005 — —
Associative classification algorithms.
Paolo Garza
2004 — conf
Answering Queries on XML Data by means of Association Rules.
SEBD
Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca
2004 Misc conf
On support thresholds in associative classification.
SAC
Elena Baralis, Silvia Chiusano, Paolo Garza
2004 — conf
Summarizing XML Data by Means of Association Rules.
EDBT Workshops
Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca
2003 — conf
Majority Classification by Means of Association Rules.
PKDD
Elena Baralis, Paolo Garza
2003 — conf
Towards Feasible Topology Formation Algorithms for Bluetooth-based WPANs.
HICSS
Carla-Fabiana Chiasserini, Marco Ajmone Marsan, Elena Baralis, Paolo Garza
2002 A* conf
A Lazy Approach to Pruning Classification Rules.
ICDM
Elena Baralis, Paolo Garza
2002 — conf
Accurate Classification by means of Association Rules.
SEBD
Elena Baralis, Paolo Garza