Tania Cerquitelli

Orcid: 0000-0002-9039-6226

According to our database1, Tania Cerquitelli authored at least 144 papers between 2004 and 2025.

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Bibliography

2025
Advances on data management systems.
Inf. Syst., 2025

2024
Explaining deep convolutional models by measuring the influence of interpretable features in image classification.
Data Min. Knowl. Discov., September, 2024

Toward Unbiased High-Quality Portraits through Latent-Space Evaluation.
J. Imaging, July, 2024

KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation.
CoRR, 2024

NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers.
CoRR, 2024

Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time.
CoRR, 2024

Voice Disorder Analysis: a Transformer-based Approach.
CoRR, 2024

A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data.
CoRR, 2024

Self-supervised Interpretable Concept-based Models for Text Classification.
CoRR, 2024

Guest editorial: Papers selected from European conference on advances in databases and information systems.
Comput. Sci. Inf. Syst., 2024

Edge-device collaborative computing for multi-view classification.
Comput. Networks, 2024

Workshop on Human-Interpretable AI.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Equity, Diversity & Inclusion (EDI): Special Day at ACM KDD 2024.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

JEM: An AI-based engine workflow to predict simulation's execution time on HPC cluster.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

Building Foundations for Inclusiveness through Expert-Annotated Data.
Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, 2024

DreamShot: Teaching Cinema Shots to Latent Diffusion Models.
Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, 2024

DriftLens: A Concept Drift Detection Tool.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection.
Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, 2024

2023
Machine learning empowered computer networks.
Comput. Networks, July, 2023

Concept-based Explainable Artificial Intelligence: A Survey.
CoRR, 2023

Conversational Data Exploration: A Game-Changer for Designing Data Science Pipelines.
CoRR, 2023

Inclusively: An AI-Based Assistant for Inclusive Writing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Data-driven energy demand forecasting for electric vehicle charging infrastructure.
Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, 2023

Forecasting Li-ion battery State of Charge using Long-Short-Term-Memory network.
Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, 2023

Multi-View Latent Diffusion.
Proceedings of the IEEE International Conference on Big Data, 2023

GINN: Towards Gender InclusioNeural Network.
Proceedings of the IEEE International Conference on Big Data, 2023

2022

Diversity and Inclusion Activities in Database Conferences: A 2021 Report.
SIGMOD Rec., 2022

Trusting deep learning natural-language models via local and global explanations.
Knowl. Inf. Syst., 2022

Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case.
Comput. Ind., 2022

Exploring waste-collection fleet data: challenges in a real-world use case.
Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022

Predicting job execution time on a high-performance computing cluster using a hierarchical data-driven methodology.
Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022

Movie Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 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

Promoting equity, diversity and inclusion: policies, strategies and future directions in higher education, research communities and business.
Proceedings of the IEEE International Conference on Big Data, 2022

Physical and mental health of university staff during the Covid-19 pandemic.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools.
Proc. IEEE, 2021

Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science.
Inf. Syst. Frontiers, 2021

Dissecting a data-driven prognostic pipeline: A powertrain use case.
Expert Syst. Appl., 2021

Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes.
Expert Syst. Appl., 2021

Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features.
CoRR, 2021

Drift Lens: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions.
Proceedings of the 2021 International Conference on Data Mining, 2021

Enhancing the friendliness of data analytics tasks: an automated methodology.
Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

Estimating the job's pending time on a High-Performance Computing cluster through a hierarchical data-driven methodology.
Proceedings of the 23rd International Workshop on Design, 2021

DS4ALL: All you need for democratizing data exploration and analysis.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

E-MIMIC: Empowering Multilingual Inclusive Communication.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Editorial special issue on data analytics for engineering, science and society.
Computing, 2020

REDTag: A Predictive Maintenance Framework for Parcel Delivery Services.
IEEE Access, 2020

Data-Driven Estimation of Heavy-Truck Residual Value at the Buy-Back.
IEEE Access, 2020

Proactive user engagement via friendly survey and data-driven methodologies.
Proceedings of the 36th IEEE International Conference on Data Engineering Workshops, 2020

Cinematographic Shot Classification through Deep Learning.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

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

2019
What's in the box? Explaining the black-box model through an evaluation of its interpretable features.
CoRR, 2019

Automating concept-drift detection by self-evaluating predictive model degradation.
CoRR, 2019

Modeling Urban Traffic Data Through Graph-Based Neural Networks.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Exploring energy performance certificates through visualization.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

A Fog Computing Approach for Predictive Maintenance.
Proceedings of the Advanced Information Systems Engineering Workshops, 2019

Towards a real-time unsupervised estimation of predictive model degradation.
Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2019

A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019

PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019

Robot fault detection and remaining life estimation for predictive maintenance.
Proceedings of the 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29, 2019

Towards Automated Visualisation of Scientific Literature.
Proceedings of the New Trends in Databases and Information Systems, 2019

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

Optimization of computer aided detection systems: An evolutionary approach.
Expert Syst. Appl., 2018

iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Mining Sensor Data for Predictive Maintenance in the Automotive Industry.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Useful ToPIC: Self-Tuning Strategies to Enhance Latent Dirichlet Allocation.
Proceedings of the 2018 IEEE International Congress on Big Data, 2018

Black-Box Model Explained Through an Assessment of Its Interpretable Features.
Proceedings of the New Trends in Databases and Information Systems, 2018

Characterizing Air-Quality Data Through Unsupervised Analytics Methods.
Proceedings of the New Trends in Databases and Information Systems, 2018

Data Mining in Databases: Languages and Indices.
Proceedings of the A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years., 2018

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

Twitter data laid almost bare: An insightful exploratory analyser.
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

Data miners' little helper: data transformation activity cues for cluster analysis on document collections.
Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

Prompting the data transformation activities for cluster analysis on collections of documents.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

Self-tuning techniques for large scale cluster analysis on textual data collections.
Proceedings of the Symposium on Applied Computing, 2017

Exploring Energy Certificates of Buildings through Unsupervised Data Mining Techniques.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

New Trends in Databases and Information Systems: Contributions from ADBIS 2017 Workshops.
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

Discovering users with similar internet access performance through cluster analysis.
Expert Syst. Appl., 2016

Exploiting clustering algorithms in a multiple-level fashion: A comparative study in the medical care scenario.
Expert Syst. Appl., 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

Supporting the analysis of urban data through NoSQL technologies.
Proceedings of the 7th International Conference on Information, 2016

Data mining for better healthcare: A path towards automated data analysis?
Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 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

Characterizing Thermal Energy Consumption through Exploratory Data Mining Algorithms.
Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, 2016

Supporting stock trading in multiple foreign markets: a multilingual news summarization approach.
Proceedings of the Second International Workshop on Data Science for Macro-Modeling, 2016

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

Scalable out-of-core itemset mining.
Inf. Sci., 2015

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

Reducing the search space in ontology alignment using clustering techniques and topic identification.
Proceedings of the 8th International Conference on Knowledge Capture, 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

Monitoring the citizens' perception on urban security in Smart City environments.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

Enhancing Energy Awareness Through the Analysis of Thermal Energy Consumption.
Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), 2015

Predicting Cardiopulmonary Response to Incremental Exercise Test.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

Energy Signature Analysis: Knowledge at Your Fingertips.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

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

A Clustering-Based Approach to Analyse Examinations for Diabetic Patients.
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014

2013
Early prediction of the highest workload in incremental cardiopulmonary tests.
ACM Trans. Intell. Syst. Technol., 2013

Analysis of diabetic patients through their examination history.
Expert Syst. Appl., 2013

NetCluster: A clustering-based framework to analyze internet passive measurements data.
Comput. Networks, 2013

SeaRum: A Cloud-Based Service for Association Rule Mining.
Proceedings of the 12th IEEE International Conference on Trust, 2013

Association Rule Mining as a Cloud-Based Service.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Analysis of Twitter Data Using a Multiple-level Clustering Strategy.
Proceedings of the Model and Data Engineering - Third International Conference, 2013

P-Mine: Parallel itemset mining on large datasets.
Proceedings of the Workshops Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

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

New Trends in Databases and Information Systems: Contributions from ADBIS 2013.
Proceedings of the New Trends in Databases and Information Systems, 2013

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

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

Energy-saving models for wireless sensor networks.
Knowl. Inf. Syst., 2011

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

An Efficient Itemset Mining Approach for Data Streams.
Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

Community-Contributed Media Collections: Knowledge at Our Fingertips.
Proceedings of the Community-Built Databases - Research and Development., 2011

2010
Constrained itemset mining on a sequence of incoming data blocks.
Int. J. Intell. Syst., 2010

Compactly Storing Frequent Itemsets (Extended Abstract).
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

A persistent HY-Tree to efficiently support itemset mining on large datasets.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Array-Tree: A persistent data structure to compactly store frequent itemsets.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

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

Predicting the highest workload in cardiopulmonary test.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2009
IMine: Index Support for Item Set Mining.
IEEE Trans. Knowl. Data Eng., 2009

Real-Time Analysis of Physiological Data to Support Medical Applications.
IEEE Trans. Inf. Technol. Biomed., 2009

Characterizing network traffic by means of the NetMine framework.
Comput. Networks, 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

NetCluster: A Clustering-Based Framework for Internet Tomography.
Proceedings of IEEE International Conference on Communications, 2009

2008
Indexing Evolving Databases for Itemset Mining.
Proceedings of the Intelligent Techniques and Tools for Novel System Architectures, 2008

Real-Time Individuation of Global Unsafe Anomalies and Alarm Activation.
Proceedings of the Intelligent Techniques and Tools for Novel System Architectures, 2008

Generalized association rules to support Network Digest analysis.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

2007
Modeling a Sensor Network by means of Clustering.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

SAPhyRA: Stream Analysis for Physiological Risk Assessment.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

2006
Selecting Representatives in a Sensor Network.
Proceedings of the Fourteenth Italian Symposium on Advanced Database Systems, 2006

2005
Index Support for Mining Data Streams in a Relational DBMS.
Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005

Index Support for Frequent Itemset Mining in a Relational DBMS.
Proceedings of the 21st International Conference on Data Engineering, 2005

2004
Frequent Itemset Mining in a Relational DBMS.
Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004


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