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2020 – today
- 2024
[j62]Alkis Koudounas
, Flavio Giobergia, Elena Baralis:
Ex(o)plain: Subgroup-Level Analysis of Exoplanet Atmospheric Parameters. IEEE Access 12: 139773-139788 (2024)- [j61]Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Vittorio Mazzia, Manuel Giollo, Thomas Gueudré, Elisa Reale, Luca Cagliero, Sandro Cumani, Luca de Alfaro, Elena Baralis, Daniele Amberti:
Towards Comprehensive Subgroup Performance Analysis in Speech Models. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1468-1480 (2024) - [c132]Lorenzo Bertetto, Francesca Bettinelli, Alessio Buda, Marco Da Mommio, Simone Di Bari, Claudio Savelli, Elena Baralis, Anna Bernasconi, Luca Cagliero, Stefano Ceri, Francesco Pierri:
Towards an Explorable Conceptual Map of Large Language Models. CAiSE Forum 2024: 82-90 - [c131]Moreno La Quatra, Alkis Koudounas, Elena Baralis, Sabato Marco Siniscalchi:
Speech Analysis of Language Varieties in Italy. LREC/COLING 2024: 15147-15159 - [c130]Eliana Pastor, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, Elena Baralis:
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features. EACL (1) 2024: 2221-2238 - [c129]Gabriele Ciravegna, Alkis Koudounas, Marco Fantini, Tania Cerquitelli, Elena Baralis, Erika Crosetti, Giovanni Succo:
Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection. EDBT/ICDT Workshops 2024 - [c128]Alkis Koudounas, Eliana Pastor, Vittorio Mazzia, Manuel Giollo, Thomas Gueudré, Elisa Reale, Giuseppe Attanasio, Luca Cagliero, Sandro Cumani, Luca De Alfaro, Elena Baralis, Daniele Amberti:
Leveraging Confidence Models for Identifying Challenging Data Subgroups in Speech Models. ICASSP Workshops 2024: 134-138 - [c127]Moreno La Quatra, Alkis Koudounas, Lorenzo Vaiani, Elena Baralis, Luca Cagliero, Paolo Garza, Sabato Marco Siniscalchi:
Benchmarking Representations for Speech, Music, and Acoustic Events. ICASSP Workshops 2024: 505-509 - [c126]Giuseppe Concialdi, Alkis Koudounas, Eliana Pastor, Barbara Di Eugenio, Elena Baralis:
Ainur: Harmonizing Speed and Quality in Deep Music Generation Through Lyrics-Audio Embeddings. ICASSP 2024: 1146-1150 - [c125]Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Luca de Alfaro, Elena Baralis:
Prioritizing Data Acquisition for end-to-end Speech Model Improvement. ICASSP 2024: 7000-7004 - [c124]Alkis Koudounas, Eliana Pastor, Elena Baralis:
Assessing Speech Model Performance: A Subgroup Perspective. SEBD 2024: 101-111 - [i17]Moreno La Quatra, Alkis Koudounas, Lorenzo Vaiani, Elena Baralis, Luca Cagliero, Paolo Garza, Sabato Marco Siniscalchi:
Benchmarking Representations for Speech, Music, and Acoustic Events. CoRR abs/2405.00934 (2024) - [i16]Eleonora Poeta, Flavio Giobergia, Eliana Pastor, Tania Cerquitelli, Elena Baralis:
A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data. CoRR abs/2406.14529 (2024) - [i15]Alkis Koudounas, Flavio Giobergia, Eliana Pastor, Elena Baralis:
A Contrastive Learning Approach to Mitigate Bias in Speech Models. CoRR abs/2406.14686 (2024) - [i14]Alkis Koudounas, Gabriele Ciravegna, Marco Fantini, Giovanni Succo, Erika Crosetti, Tania Cerquitelli, Elena Baralis:
Voice Disorder Analysis: a Transformer-based Approach. CoRR abs/2406.14693 (2024) - [i13]Moreno La Quatra, Alkis Koudounas, Elena Baralis, Sabato Marco Siniscalchi:
Speech Analysis of Language Varieties in Italy. CoRR abs/2406.15862 (2024) - [i12]Daniele Rege Cambrin, Eleonora Poeta, Eliana Pastor, Tania Cerquitelli, Elena Baralis, Paolo Garza:
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation. CoRR abs/2408.07040 (2024) - [i11]Flavio Giobergia, Eliana Pastor, Luca de Alfaro, Elena Baralis:
Detecting Interpretable Subgroup Drifts. CoRR abs/2408.14682 (2024) - [i10]Flavio Giobergia, Eliana Pastor, Luca de Alfaro, Elena Baralis:
A Synthetic Benchmark to Explore Limitations of Localized Drift Detections. CoRR abs/2408.14687 (2024) - 2023
- [c123]Flavio Giobergia, Elena Baralis:
Late Fusion-based Distributed Multimodal Learning. IEEE Big Data 2023: 2152-2156 - [c122]Alkis Koudounas, Flavio Giobergia, Irene Benedetto, Simone Monaco, Luca Cagliero, Daniele Apiletti, Elena Baralis:
ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. EVALITA 2023 - [c121]Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Vittorio Mazzia, Manuel Giollo, Thomas Gueudré, Luca Cagliero, Luca de Alfaro, Elena Baralis, Daniele Amberti:
Exploring Subgroup Performance in End-to-End Speech Models. ICASSP 2023: 1-5 - [c120]Eliana Pastor, Elena Baralis, Luca de Alfaro:
A Hierarchical Approach to Anomalous Subgroup Discovery. ICDE 2023: 2647-2659 - [c119]Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang:
On Computing Paradigms - Where Will Large Language Models Be Going. ICDM 2023: 1577-1582 - [c118]Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis:
ITALIC: An Italian Intent Classification Dataset. INTERSPEECH 2023: 2153-2157 - [c117]Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Elena Baralis, Luca Cagliero, Francesco Tarasconi:
PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction. SemEval@ACL 2023: 1401-1411 - [e8]Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14169, Springer 2023, ISBN 978-3-031-43411-2 [contents] - [e7]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14170, Springer 2023, ISBN 978-3-031-43414-3 [contents] - [e6]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14171, Springer 2023, ISBN 978-3-031-43417-4 [contents] - [e5]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14172, Springer 2023, ISBN 978-3-031-43420-4 [contents] - [e4]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14173, Springer 2023, ISBN 978-3-031-43423-5 [contents] - [e3]Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14174, Springer 2023, ISBN 978-3-031-43426-6 [contents] - [e2]Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14175, Springer 2023, ISBN 978-3-031-43429-7 [contents] - [i9]Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis:
ITALIC: An Italian Intent Classification Dataset. CoRR abs/2306.08502 (2023) - [i8]Eliana Pastor, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, Elena Baralis:
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features. CoRR abs/2309.07733 (2023) - [i7]Flavio Giobergia, Alkis Koudounas, Elena Baralis:
Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning. CoRR abs/2310.01227 (2023) - [i6]Eleonora Poeta, Gabriele Ciravegna, Eliana Pastor, Tania Cerquitelli, Elena Baralis:
Concept-based Explainable Artificial Intelligence: A Survey. CoRR abs/2312.12936 (2023) - 2022
- [j60]Andrea Pasini, Flavio Giobergia, Eliana Pastor, Elena Baralis:
Semantic Image Collection Summarization With Frequent Subgraph Mining. IEEE Access 10: 131747-131764 (2022) - [j59]Danilo Giordano, Flavio Giobergia, Eliana Pastor, Antonio La Macchia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Davide Tricarico:
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case. Comput. Ind. 134: 103554 (2022) - [c116]Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis:
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. ACL (Findings) 2022: 1105-1119 - [c115]Flavio Giobergia, Elena Baralis:
RECLAIM: Reverse Engineering Classification Metrics. AIKE 2022: 106-113 - [c114]Jacopo Fior, Thomas Favale, Luca Cagliero, Danilo Giordano, Marco Mellia, Elena Baralis, Silvia Ronchiadin, Paolo Baracco, Dario Moncalvo:
Legal Entity Disambiguation for Financial Crime Detection. IEEE Big Data 2022: 6639-6641 - [c113]Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. CIKM 2022: 3893-3897 - [c112]Lorenzo Vaiani, Alkis Koudounas, Moreno La Quatra, Luca Cagliero, Paolo Garza, Elena Baralis:
Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers' Genders. MuSe @ ACM Multimedia 2022: 89-94 - [c111]Moreno La Quatra, Lorenzo Vaiani, Alkis Koudounas, Luca Cagliero, Paolo Garza, Elena Baralis:
How Much Attention Should we Pay to Mosquitoes? ACM Multimedia 2022: 7135-7139 - [d1]Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
Satellite Burned Area Dataset. Zenodo, 2022
- [i5]Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis:
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. CoRR abs/2203.09192 (2022) - 2021
- [j58]Dena Markudova, Sachit Mishra, Luca Cagliero, Luca Vassio, Marco Mellia, Elena Baralis, Lucia Salvatori, Riccardo Loti:
Preventive maintenance for heterogeneous industrial vehicles with incomplete usage data. Comput. Ind. 130: 103468 (2021) - [j57]Danilo Giordano, Eliana Pastor, Flavio Giobergia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Alessandra Neri, Davide Tricarico:
Dissecting a data-driven prognostic pipeline: A powertrain use case. Expert Syst. Appl. 180: 115109 (2021) - [j56]Tania Cerquitelli, Francesco Ventura, Daniele Apiletti, Elena Baralis, Enrico Macii, Massimo Poncino:
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. Expert Syst. Appl. 182: 115269 (2021) - [j55]Eliana Pastor, Andrew Gavgavian, Elena Baralis, Luca de Alfaro:
How Divergent Is Your Data? Proc. VLDB Endow. 14(12): 2835-2838 (2021) - [j54]Moreno La Quatra, Luca Cagliero, Elena Baralis:
Leveraging full-text article exploration for citation analysis. Scientometrics 126(10): 8275-8293 (2021) - [j53]Luca Cagliero, Paolo Garza, Andrea Pasini, Elena Baralis:
Additional Reviewer Assignment by Means of Weighted Association Rules. IEEE Trans. Emerg. Top. Comput. 9(1): 329-341 (2021) - [c110]Luca Cagliero, Moreno La Quatra, Paolo Garza, Elena Baralis:
Cross-lingual timeline summarization. AIKE 2021: 45-53 - [c109]Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis:
Double-Step deep learning framework to improve wildfire severity classification. EDBT/ICDT Workshops 2021 - [c108]Moreno La Quatra, Luca Cagliero, Elena Baralis, Alberto Messina, Maurizio Montagnuolo:
Summarize Dates First: A Paradigm Shift in Timeline Summarization. SIGIR 2021: 418-427 - [c107]Eliana Pastor, Luca de Alfaro, Elena Baralis:
Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence. SIGMOD Conference 2021: 1400-1412 - [i4]Eliana Pastor, Luca de Alfaro, Elena Baralis:
Identifying Biased Subgroups in Ranking and Classification. CoRR abs/2108.07450 (2021) - 2020
- [j52]Daniela Renga, Daniele Apiletti, Danilo Giordano, Matteo Nisi, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis:
Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis. Computing 102(5): 1199-1211 (2020) - [j51]Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis:
Training ensembles of faceted classification models for quantitative stock trading. Computing 102(5): 1213-1225 (2020) - [j50]Enrico Palumbo, Diego Monti, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis:
entity2rec: Property-specific knowledge graph embeddings for item recommendation. Expert Syst. Appl. 151: 113235 (2020) - [j49]Mohammad Reza Kavoosifar, Daniele Apiletti, Elena Baralis, Paolo Garza, Benoit Huet:
Effective video hyperlinking by means of enriched feature sets and monomodal query combinations. Int. J. Multim. Inf. Retr. 9(3): 215-227 (2020) - [j48]Moreno La Quatra, Luca Cagliero, Elena Baralis:
Exploiting pivot words to classify and summarize discourse facets of scientific papers. Scientometrics 125(3): 3139-3157 (2020) - [c106]Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Baralis:
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. IEEE BigData 2020: 5786-5788 - [c105]Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Chiusano:
DSLE: A Smart Platform for Designing Data Science Competitions. COMPSAC 2020: 133-142 - [c104]Daniele Apiletti, Eliana Pastor, Riccardo Callà, Elena Baralis:
Evaluating espresso coffee quality by means of time-series feature engineering. EDBT/ICDT Workshops 2020 - [c103]Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis:
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. EDBT/ICDT Workshops 2020 - [c102]Sachit Mishra, Luca Vassio, Luca Cagliero, Marco Mellia, Elena Baralis, Riccardo Loti, Lucia Salvatori:
Machine Learning Supported Next-Maintenance Prediction for Industrial Vehicles. EDBT/ICDT Workshops 2020 - [c101]Giuseppe Attanasio, Luca Cagliero, Elena Baralis:
Leveraging the explainability of associative classifiers to support quantitative stock trading. DSMM@SIGMOD 2020: 2:1-2:6 - [c100]Eliana Pastor, Elena Baralis:
Bring Your Own Data to X-PLAIN. SIGMOD Conference 2020: 2805-2808
2010 – 2019
- 2019
- [j47]Luca Cagliero, Laura Farinetti, Elena Baralis:
Recommending Personalized Summaries of Teaching Materials. IEEE Access 7: 22729-22739 (2019) - [j46]Luca Cagliero, Paolo Garza, Elena Baralis:
ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis. ACM Trans. Inf. Syst. 37(2): 21:1-21:33 (2019) - [c99]Andrea Pasini, Elena Baralis:
Detecting Anomalies in Image Classification by Means of Semantic Relationships. AIKE 2019: 231-238 - [c98]Stefano Proto, Francesco Ventura, Daniele Apiletti, Tania Cerquitelli, Elena Baralis, Enrico Macii, Alberto Macii:
PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes. BigData Congress 2019: 139-143 - [c97]Francesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii:
A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs. BigData Congress 2019: 144-148 - [c96]Flavio Giobergia, Elena Baralis:
Fast Self-Organizing Maps Training. IEEE BigData 2019: 2257-2266 - [c95]Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis:
Towards a real-time unsupervised estimation of predictive model degradation. BIRTE 2019: 5:1-5:6 - [c94]Tania Cerquitelli, Evelina Di Corso, Stefano Proto, Alfonso Capozzoli, Fabio Bellotti, Maria Giovanna Cassese, Elena Baralis, Marco Mellia, Silvia Casagrande, Martina Tamburini:
Exploring energy performance certificates through visualization. EDBT/ICDT Workshops 2019 - [c93]Dena Markudova, Elena Baralis, Luca Cagliero, Marco Mellia, Luca Vassio, Elvio Gilberto Amparore, Riccardo Loti, Lucia Salvatori:
Heterogeneous Industrial Vehicle Usage Predictions: A Real Case. EDBT/ICDT Workshops 2019 - [c92]Matteo Nisi, Daniela Renga, Daniele Apiletti, Danilo Giordano, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis:
Transparently Mining Data from a Medium-voltage Distribution Network: A Prognostic-diagnostic Analysis. EDBT/ICDT Workshops 2019 - [c91]Andrea Pasini, Elena Baralis, Paolo Garza, Davide Floriello, Michela Idiomi, Andrea Ortenzi, Simone Ricci:
Adaptive Hierarchical Clustering for Petrographic Image Analysis. EDBT/ICDT Workshops 2019 - [c90]Enrico Palumbo, Alberto Buzio, Andrea Gaiardo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis:
Tinderbook: Fall in Love with Culture. ESWC 2019: 590-605 - [c89]Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. ICDM Workshops 2019: 514-521 - [c88]Eliana Pastor, Elena Baralis:
Explaining black box models by means of local rules. SAC 2019: 510-517 - [c87]Moreno La Quatra, Luca Cagliero, Elena Baralis:
Poli2Sum@CL-SciSumm-19: Identify, Classify, and Summarize Cited Text Spans by means of Ensembles of Supervised Models. BIRNDL@SIGIR 2019: 233-246 - [c86]Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
Quantitative cryptocurrency trading: exploring the use of machine learning techniques. DSMM@SIGMOD 2019: 1:1-1:6 - [i3]Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis:
Automating concept-drift detection by self-evaluating predictive model degradation. CoRR abs/1907.08120 (2019) - 2018
- [j45]Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis:
Discovering cross-topic collaborations among researchers by exploiting weighted association rules. Scientometrics 116(2): 1273-1301 (2018) - [j44]Elena Baralis, Luca Cagliero:
Highlighter: Automatic Highlighting of Electronic Learning Documents. IEEE Trans. Emerg. Top. Comput. 6(1): 7-19 (2018) - [c85]Elena Baralis, Paolo Garza, Eliana Pastor:
A Density-based Preprocessing Technique to Scale Out Clustering. IEEE BigData 2018: 2078-2087 - [c84]Flavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti:
Mining Sensor Data for Predictive Maintenance in the Automotive Industry. DSAA 2018: 351-360 - [c83]Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro:
An Empirical Comparison of Knowledge Graph Embeddings for Item Recommendation. DL4KGS@ESWC 2018: 14-20 - [c82]Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro:
Knowledge Graph Embeddings with node2vec for Item Recommendation. ESWC (Satellite Events) 2018: 117-120 - [c81]Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Michele Osella, Enrico Ferro:
Translational Models for Item Recommendation. ESWC (Satellite Events) 2018: 478-490 - [p7]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Rosa Meo:
Data Mining in Databases: Languages and Indices. A Comprehensive Guide Through the Italian Database Research 2018: 341-351 - [i2]Luca Venturini, Elena Baralis, Paolo Garza:
Scaling associative classification for very large datasets. CoRR abs/1805.03887 (2018) - 2017
- [j43]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Luca Venturini:
Frequent Itemsets Mining for Big Data: A Comparative Analysis. Big Data Res. 9: 67-83 (2017) - [j42]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) - [j41]Elena Baralis, Luca Cagliero, Paolo Garza:
Planning stock portfolios by means of weighted frequent itemsets. Expert Syst. Appl. 86: 1-17 (2017) - [j40]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti:
Discovering profitable stocks for intraday trading. Inf. Sci. 405: 91-106 (2017) - [j39]Luca Venturini, Elena Baralis, Paolo Garza:
Scaling associative classification for very large datasets. J. Big Data 4: 44 (2017) - [c80]Elena Baralis, Andrea Dalla Valle, Paolo Garza, Claudio Rossi, Francesco Scullino:
SQL versus NoSQL databases for geospatial applications. IEEE BigData 2017: 3388-3397 - [c79]Elena Baralis, Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto:
Experimental Validation of a Massive Educational Service in a Blended Learning Environment. COMPSAC (1) 2017: 381-390 - [c78]Luca Cagliero, Laura Farinetti, Elena Baralis:
Test-Driven Summarization: Combining Formative Assessment with Teaching Document Summarization. COMPSAC (1) 2017: 401-406 - [c77]Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto, Elena Baralis:
Educational video services in universities: A systematic effectiveness analysis. FIE 2017: 1-9 - [c76]Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis:
Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks. RecTour@RecSys 2017: 1-8 - [c75]Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis:
Identifying Collaborations among Researchers: a pattern-based approach. BIRNDL@SIGIR (1) 2017: 56-68 - [c74]Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar:
Eurecom-Polito at TRECVID 2017: Hyperlinking task. TRECVID 2017 - 2016
- [j38]Enrico Bocchi, Luigi Grimaudo, Marco Mellia, Elena Baralis, Sabyasachi Saha, Stanislav Miskovic, Gaspar Modelo-Howard, Sung-Ju Lee:
MAGMA network behavior classifier for malware traffic. Comput. Networks 109: 142-156 (2016) - [j37]Elena Baralis, Luca Cagliero:
Learning From Summaries: Supporting e-Learning Activities by Means of Document Summarization. IEEE Trans. Emerg. Top. Comput. 4(3): 416-428 (2016) - [j36]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Danilo Giordano, Marco Mellia, Luca Venturini:
SeLINA: A Self-Learning Insightful Network Analyzer. IEEE Trans. Netw. Serv. Manag. 13(3): 696-710 (2016) - [c73]Elena Baralis, Luca Cagliero, Tania Cerquitelli:
Supporting stock trading in multiple foreign markets: a multilingual news summarization approach. DSMM@SIGMOD 2016: 3:1-3:6 - [c72]Luca Venturini, Elena Baralis:
A spectral analysis of crimes in San Francisco. UrbanGIS@SIGSPATIAL 2016: 4:1-4:4 - [c71]Tania Cerquitelli, Elena Baralis, Lia Morra, Silvia Chiusano:
Data mining for better healthcare: A path towards automated data analysis? ICDE Workshops 2016: 60-63 - [c70]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Mohammad Reza Kavoosifar:
Analyzing air pollution on the urban environment. MIPRO 2016: 1464-1469 - [c69]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Luca Venturini:
SaFe-NeC: A scalable and flexible system for network data characterization. NOMS 2016: 812-816 - [c68]Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar:
Eurecom-Polito at TRECVID 2016: Hyperlinking Tasks. TRECVID 2016 - [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] - 2015
- [j35]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Alberto Grand:
Scalable out-of-core itemset mining. Inf. Sci. 293: 146-162 (2015) - [j34]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza:
Digging deep into weighted patient data through multiple-level patterns. Inf. Sci. 322: 51-71 (2015) - [j33]Danilo Giordano, Stefano Traverso, Luigi Grimaudo, Marco Mellia, Elena Baralis, Alok Tongaonkar, Sabyasachi Saha:
YouLighter: A Cognitive Approach to Unveil YouTube CDN and Changes. IEEE Trans. Cogn. Commun. Netw. 1(2): 161-174 (2015) - [j32]Dario Antonelli, Elena Baralis, Giulia Bruno, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Naeem Ahmed Mahoto:
MeTA: Characterization of Medical Treatments at Different Abstraction Levels. ACM Trans. Intell. Syst. Technol. 6(4): 57:1-57:25 (2015) - [j31]Elena Baralis, Luca Cagliero, Alessandro Fiori, Paolo Garza:
MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets. ACM Trans. Inf. Syst. 34(1): 5:1-5:35 (2015) - [c67]Elena Baralis, Luca Cagliero, Paolo Garza, Luigi Grimaudo:
PaWI: Parallel Weighted Itemset Mining by Means of MapReduce. BigData Congress 2015: 25-32 - [c66]Andrea Acquaviva, Daniele Apiletti, Antonio Attanasio, Elena Baralis, Lorenzo Bottaccioli, Federico Boni Castagnetti, Tania Cerquitelli, Silvia Chiusano, Enrico Macii, Dario Martellacci, Edoardo Patti:
Energy Signature Analysis: Knowledge at Your Fingertips. BigData Congress 2015: 543-550 - [c65]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Andrea Giordano, Alessandro Mezzani, Davide Susta, Xin Xiao:
Predicting Cardiopulmonary Response to Incremental Exercise Test. CBMS 2015: 135-140 - [c64]Alessandro Finamore, Sabyasachi Saha, Gaspar Modelo-Howard, Sung-Ju Lee, Enrico Bocchi, Luigi Grimaudo, Marco Mellia, Elena Baralis:
Macroscopic view of malware in home networks. CCNC 2015: 262-266 - [c63]Elena Baralis, Luca Cagliero, Laura Farinetti:
Generation and Evaluation of Summaries of Academic Teaching Materials. COMPSAC 2015: 881-886 - [c62]Andrea Acquaviva, Daniele Apiletti, Antonio Attanasio, Elena Baralis, Federico Boni Castagnetti, Tania Cerquitelli, Silvia Chiusano, Enrico Macii, Dario Martellacci, Edoardo Patti:
Enhancing Energy Awareness Through the Analysis of Thermal Energy Consumption. EDBT/ICDT Workshops 2015: 64-71 - [c61]Enrico Bocchi, Luigi Grimaudo, Marco Mellia, Elena Baralis, Sabyasachi Saha, Stanislav Miskovic, Gaspar Modelo-Howard, Sung-Ju Lee:
Network Connectivity Graph for Malicious Traffic Dissection. ICCCN 2015: 1-9 - [c60]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 - [c59]Danilo Giordano, Stefano Traverso, Luigi Grimaudo, Marco Mellia, Elena Baralis, Alok Tongaonkar, Sabyasachi Saha:
YouLighter: An Unsupervised Methodology to Unveil YouTube CDN Changes. ITC 2015: 19-27 - [i1]Danilo Giordano, Stefano Traverso, Luigi Grimaudo, Marco Mellia, Elena Baralis, Alok Tongaonkar, Sabyasachi Saha:
YouLighter: An Unsupervised Methodology to Unveil YouTube CDN Changes. CoRR abs/1503.05426 (2015) - 2014
- [j30]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza:
Expressive generalized itemsets. Inf. Sci. 278: 327-343 (2014) - [j29]Elena Baralis, Luca Cagliero:
RIB: A Robust Itemset-based Bayesian approach to classification. Knowl. Based Syst. 71: 366-375 (2014) - [j28]Luigi Grimaudo, Marco Mellia, Elena Baralis, Ram Keralapura:
SeLeCT: Self-Learning Classifier for Internet Traffic. IEEE Trans. Netw. Serv. Manag. 11(2): 144-157 (2014) - [c58]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti:
Misleading Generalized Itemset Mining in the Cloud. ISPA 2014: 211-216 - [c57]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo, Fabio Pulvirenti, Paolo Garza:
MGI-Cloud: discovery of misleading generalized itemsets. SEBD 2014: 45-52 - [c56]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti:
NEMICO: Mining Network Data through Cloud-Based Data Mining Techniques. UCC 2014: 503-504 - 2013
- [j27]Elena Baralis, Andrea Bianco, Tania Cerquitelli, Luca Chiaraviglio, Marco Mellia:
NetCluster: A clustering-based framework to analyze internet passive measurements data. Comput. Networks 57(17): 3300-3315 (2013) - [j26]Dario Antonelli, Elena Baralis, Giulia Bruno, Tania Cerquitelli, Silvia Chiusano, Naeem Ahmed Mahoto:
Analysis of diabetic patients through their examination history. Expert Syst. Appl. 40(11): 4672-4678 (2013) - [j25]Elena Baralis, Luca Cagliero, Saima Jabeen, Alessandro Fiori, Sajid Shah:
Multi-document summarization based on the Yago ontology. Expert Syst. Appl. 40(17): 6976-6984 (2013) - [j24]Elena Baralis, Luca Cagliero, Naeem Ahmed Mahoto, Alessandro Fiori:
GraphSum: Discovering correlations among multiple terms for graph-based summarization. Inf. Sci. 249: 96-109 (2013) - [j23]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Vincenzo D'Elia, Riccardo Molinari, Davide Susta:
Early prediction of the highest workload in incremental cardiopulmonary tests. ACM Trans. Intell. Syst. Technol. 4(4): 70:1-70:20 (2013) - [j22]Elena Baralis, Luca Cagliero, Paolo Garza:
EnBay: A Novel Pattern-Based Bayesian Classifier. IEEE Trans. Knowl. Data Eng. 25(12): 2780-2795 (2013) - [c55]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza:
Frequent weighted itemset mining from gene expression data. BIBE 2013: 1-4 - [c54]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Alberto Grand:
P-Mine: Parallel itemset mining on large datasets. ICDE Workshops 2013: 266-271 - [c53]Luigi Grimaudo, Marco Mellia, Elena Baralis, Ram Keralapura:
Self-Learning Classifier for Internet traffic. INFOCOM Workshops 2013: 423-428 - [c52]Luigi Grimaudo, Marco Mellia, Elena Baralis, Ram Keralapura:
Self-learning classifier for Internet traffic. INFOCOM 2013: 3381-3386 - [c51]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo, Xin Xiao:
Analysis of Twitter Data Using a Multiple-level Clustering Strategy. MEDI 2013: 13-24 - [c50]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo:
Association Rule Mining as a Cloud-Based Service. SEBD 2013: 461-468 - [c49]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo:
SeaRum: A Cloud-Based Service for Association Rule Mining. TrustCom/ISPA/IUCC 2013: 1283-1290 - 2012
- [j21]Daniele Apiletti, Elena Baralis, Giulia Bruno, Alessandro Fiori:
MaskedPainter: Feature selection for microarray data analysis. Intell. Data Anal. 16(4): 717-737 (2012) - [j20]Elena Baralis, Paolo Garza:
I-prune: Item selection for associative classification. Int. J. Intell. Syst. 27(3): 279-299 (2012) - [j19]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza:
Generalized association rule mining with constraints. Inf. Sci. 194: 68-84 (2012) - [c48]Luigi Grimaudo, Marco Mellia, Elena Baralis:
Hierarchical learning for fine grained internet traffic classification. IWCMC 2012: 463-468 - [c47]Elena Baralis, Luca Cagliero, Saima Jabeen, Alessandro Fiori:
Multi-document summarization exploiting frequent itemsets. SAC 2012: 782-786 - 2011
- [j18]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti:
CAS-Mine: providing personalized services in context-aware applications by means of generalized rules. Knowl. Inf. Syst. 28(2): 283-310 (2011) - [j17]Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
Energy-saving models for wireless sensor networks. Knowl. Inf. Syst. 28(3): 615-644 (2011) - [j16]Elena Baralis, Giulia Bruno, Alessandro Fiori:
Measuring gene similarity by means of the classification distance. Knowl. Inf. Syst. 29(1): 81-101 (2011) - [c46]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Alberto Grand, Luigi Grimaudo:
An Efficient Itemset Mining Approach for Data Streams. KES (2) 2011: 515-523 - 2010
- [j15]Elena Baralis, Tania Cerquitelli, Silvia Chiusano:
Constrained itemset mining on a sequence of incoming data blocks. Int. J. Intell. Syst. 25(5): 389-410 (2010) - [c45]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Vincenzo D'Elia, Riccardo Molinari, Davide Susta:
Predicting the highest workload in cardiopulmonary test. CBMS 2010: 32-37 - [c44]Elena Baralis, Alessandro Fiori:
Summarizing biological literature with BioSumm. CIKM 2010: 1961-1962 - [c43]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza:
Support driven opportunistic aggregation for generalized itemset extraction. IEEE Conf. of Intelligent Systems 2010: 102-107 - [c42]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Alberto Grand:
Array-Tree: A persistent data structure to compactly store frequent itemsets. IEEE Conf. of Intelligent Systems 2010: 108-113 - [c41]Elena Baralis, Giulia Bruno, Silvia Chiusano, Virna C. Domenici, Naeem Ahmed Mahoto, Caterina Petrigni:
Analysis of Medical Pathways by Means of Frequent Closed Sequences. KES (3) 2010: 418-425 - [c40]Elena Baralis, Tania Cerquitelli, Silvia Chiusano:
A persistent HY-Tree to efficiently support itemset mining on large datasets. SAC 2010: 1060-1064 - [c39]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Alberto Grand:
Compactly Storing Frequent Itemsets (Extended Abstract). SEBD 2010: 118-125
2000 – 2009
- 2009
- [j14]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Vincenzo D'Elia:
Characterizing network traffic by means of the NetMine framework. Comput. Networks 53(6): 774-789 (2009) - [j13]Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli:
Real-Time Analysis of Physiological Data to Support Medical Applications. IEEE Trans. Inf. Technol. Biomed. 13(3): 313-321 (2009) - [j12]Elena Baralis, Tania Cerquitelli, Silvia Chiusano:
IMine: Index Support for Item Set Mining. IEEE Trans. Knowl. Data Eng. 21(4): 493-506 (2009) - [c38]Elena Baralis, Andrea Bianco, Tania Cerquitelli, Luca Chiaraviglio, Marco Mellia:
NetCluster: A Clustering-Based Framework for Internet Tomography. ICC 2009: 1-5 - [c37]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti:
Context-Aware User and Service Profiling by Means of Generalized Association Rules. KES (2) 2009: 50-57 - [c36]Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti:
Generalized Association Rules to Support Context-aware User and Service Profiling. SEBD 2009: 101-108 - [p6]Daniele Apiletti, Giulia Bruno, Elisa Ficarra, Elena Baralis:
Extraction of Constraints from Biological Data. Biomedical Data and Applications 2009: 169-186 - 2008
- [j11]Elena Baralis, Silvia Chiusano, Riccardo Dutto:
Applying sequential rules to protein localization prediction. Comput. Math. Appl. 55(5): 867-878 (2008) - [j10]Elena Baralis, Silvia Chiusano, Paolo Garza:
A Lazy Approach to Associative Classification. IEEE Trans. Knowl. Data Eng. 20(2): 156-171 (2008) - [c35]Elena Baralis, Alessandro Fiori, Lorenzo Montrucchio:
BioSumm: A novel summarizer oriented to biological information. BIBE 2008: 1-6 - [c34]Elena Baralis, Alessandro Fiori:
Exploring Heterogeneous Biological Data Sources. DEXA Workshops 2008: 647-651 - [c33]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Vincenzo D'Elia:
Generalized association rules to support Network Digest analysis. SEBD 2008: 101-108 - [p5]Elena Baralis, Silvia Chiusano, Riccardo Dutto, Luigi Mantellini:
Compact Representations of Sequential Classification Rules. Data Mining: Foundations and Practice 2008: 1-30 - [p4]Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli:
Real-Time Individuation of Global Unsafe Anomalies and Alarm Activation. Intelligent Techniques and Tools for Novel System Architectures 2008: 219-236 - [p3]Elena Baralis, Tania Cerquitelli, Silvia Chiusano:
Indexing Evolving Databases for Itemset Mining. Intelligent Techniques and Tools for Novel System Architectures 2008: 305-323 - 2007
- [j9]Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca:
Answering XML queries by means of data summaries. ACM Trans. Inf. Syst. 25(3): 10 (2007) - [c32]Elena Baralis, Elisa Ficarra, Alessandro Fiori, Enrico Macii:
Gene-Markers Representation for Microarray Data Integration. BIBE 2007: 1056-1060 - [c31]Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli:
SAPhyRA: Stream Analysis for Physiological Risk Assessment. CBMS 2007: 193-198 - [c30]Elena Baralis, Tania Cerquitelli, Vincenzo D'Elia:
Modeling a Sensor Network by means of Clustering. DEXA Workshops 2007: 177-181 - [c29]Marta Patiño-Martínez, Genoveva Vargas-Solar, Elena Baralis, Bettina Kemme:
Topic 5 Parallel and Distributed Databases. Euro-Par 2007: 293 - 2006
- [j8]Daniele Apiletti, Giulia Bruno, Elisa Ficarra, Elena Baralis:
Data Cleaning and Semantic Improvement in Biological Databases. J. Integr. Bioinform. 3(2) (2006) - [c28]Elena Baralis, Paolo Garza:
Associative text categorization exploiting negated words. SAC 2006: 530-535 - [c27]Elena Baralis, Tania Cerquitelli:
Selecting Representatives in a Sensor Network. SEBD 2006: 351-360 - 2005
- [c26]Elena Baralis, Tania Cerquitelli, Silvia Chiusano:
Index Support for Frequent Itemset Mining in a Relational DBMS. ICDE 2005: 754-765 - [c25]Mario Baldi, Elena Baralis, Fulvio Risso:
Data mining techniques for effective and scalable traffic analysis. Integrated Network Management 2005: 105-118 - [c24]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Diego Mostile:
Index Support for Mining Data Streams in a Relational DBMS. SEBD 2005: 240-247 - 2004
- [j7]Elena Baralis, Silvia Chiusano:
Essential classification rule sets. ACM Trans. Database Syst. 29(4): 635-674 (2004) - [c23]Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca:
Summarizing XML Data by Means of Association Rules. EDBT Workshops 2004: 260-269 - [c22]Elena Baralis, Silvia Chiusano, Paolo Garza:
On support thresholds in associative classification. SAC 2004: 553-558 - [c21]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Alice Lottini, Lorena Pansa:
Frequent Itemset Mining in a Relational DBMS. SEBD 2004: 158-165 - [c20]Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca:
Answering Queries on XML Data by means of Association Rules. SEBD 2004: 262-269 - 2003
- [c19]Carla-Fabiana Chiasserini, Marco Ajmone Marsan, Elena Baralis, Paolo Garza:
Towards Feasible Topology Formation Algorithms for Bluetooth-based WPANs. HICSS 2003: 313 - [c18]Elena Baralis, Paolo Garza:
Majority Classification by Means of Association Rules. PKDD 2003: 35-46 - [p2]Stefano Paraboschi, Giuseppe Sindoni, Elena Baralis, Ernest Teniente:
Materialized Views in Multidimensional Databases. Multidimensional Databases 2003: 222-251 - 2002
- [c17]Elena Baralis, Paolo Garza:
A Lazy Approach to Pruning Classification Rules. ICDM 2002: 35-42 - [c16]Elena Baralis, Paolo Garza:
Accurate Classification by means of Association Rules. SEBD 2002: 273-280 - 2000
- [j6]Elena Baralis, Jennifer Widom:
An algebraic approach to static analysis of active database rules. ACM Trans. Database Syst. 25(3): 269-332 (2000)
1990 – 1999
- 1999
- [c15]Elena Baralis, Giuseppe Psaila:
Incremental Refinement of Mining Queries. DaWaK 1999: 173-182 - [c14]Elena Baralis, Rosa Meo, Giuseppe Psaila:
Data Mining in Data Warehouses. SEBD 1999: 51-65 - [p1]Elena Baralis:
Rule Analysis. Active Rules in Database Systems 1999: 51-67 - 1998
- [j5]Elena Baralis, Stefano Ceri, Stefano Paraboschi:
Compile-Time and Runtime Analysis of Active Behaviors. IEEE Trans. Knowl. Data Eng. 10(3): 353-370 (1998) - [c13]Elena Baralis, Giuseppe Psaila:
Incremental Refinement of Association Rule Mining. SEBD 1998: 325-340 - 1997
- [j4]Elena Baralis, Giuseppe Psaila:
Designing Templates for Mining Association Rules. J. Intell. Inf. Syst. 9(1): 7-32 (1997) - [j3]Elena Baralis, Stefano Ceri, Stefano Paraboschi:
Debugging and Run-time Monitoring of Active Rules. J. Syst. Integr. 7(3/4): 327-347 (1997) - [c12]Elena Baralis, Andrea Bianco:
Performance Evaluation of Rule Semantics in Active Databases. ICDE 1997: 365-374 - [c11]Elena Baralis, Stefano Ceri, Rosa Meo, Giuseppe Psaila, Marco Richeldi:
Amore: An Integrated Environment for Database Mining. SEBD 1997: 285-302 - [c10]Elena Baralis, Stefano Paraboschi, Ernest Teniente:
Materialized Views Selection in a Multidimensional Database. VLDB 1997: 156-165 - 1996
- [j2]Elena Baralis, Stefano Ceri, Piero Fraternali, Stefano Paraboschi:
Support Environment for Active Rule Design. J. Intell. Inf. Syst. 7(2): 129-149 (1996) - [j1]Elena Baralis, Stefano Ceri, Stefano Paraboschi:
Modularization Techniques for Active Rules Design. ACM Trans. Database Syst. 21(1): 1-29 (1996) - [c9]Elena Baralis, Stefano Ceri, Stefano Paraboschi:
Conservative Timestamp Revisited for Materialized View Maintenance in a Data Warehouse. VIEWS 1996: 1-9 - 1995
- [c8]Stefano Ceri, Elena Baralis, Piero Fraternali, Stefano Paraboschi:
Design of Active Rule Applications: Issues and Approaches. DOOD 1995: 1-18 - [c7]Elena Baralis, Stefano Ceri, Stefano Paraboschi:
Run-time Detection of Non-Terminating Active Rule Systems. DOOD 1995: 38-54 - [c6]Elena Baralis, Stefano Ceri, Stefano Paraboschi:
Improving Rule Analysis by Means of Triggering and Activation Graphs. Rules in Database Systems 1995: 165-181 - [c5]Elena Baralis, Jennifer Widom:
Using Delta Relations to Optimize Condition Evaluation in Active Databases. Rules in Database Systems 1995: 292-308 - 1994
- [c4]Elena Baralis, Stefano Ceri, Gabriella Monteleone, Stefano Paraboschi:
An Intelligent Database System Application: The Design of EMS. ADB 1994: 172-189 - [c3]Elena Baralis, Stefano Ceri, Stefano Paraboschi:
Declarative Specification of Constraint Maintenance. ER 1994: 205-222 - [c2]Elena Baralis, Jennifer Widom:
An Algebraic Approach to Rule Analysis in Expert Database Systems. VLDB 1994: 475-486 - 1993
- [c1]Elena Baralis, Stefano Ceri, Jennifer Widom:
Better Termination Analysis for Active Databases. Rules in Database Systems 1993: 163-179
Coauthor Index
[j61] [c132] [c128] [c127] [i17] [c122] [c121] [c118] [c117] [i9] [c114] [c112] [c111] [j58] [j54] [j53] [c110] [c108] [j51] [j48] [c105] [c103] [c102] [c101] [j47] [j46] [c93] [c89] [c87] [c86] [j45] [j44] [j41] [j40] [c79] [c78] [c77] [c75] [j37] [c73] [j34] [j32] [j31] [c67] [c63] [j30] [j29] [c58] [c57] [c56] [j25] [j24] [j22] [c55] [j19] [c47] [j18] [c43] [c37] [c36]
[c129] [i16] [i14] [i12] [i6] [j59] [c113] [d1] [j57] [j56] [c105] [c98] [c97] [c95] [c94] [i3] [c84] [p7] [j43] [j42] [j40] [j36] [c73] [c71] [c70] [c69] [e1] [j35] [j34] [j32] [c66] [c65] [c62] [c60] [j30] [c58] [c57] [c56] [j27] [j26] [j23] [c55] [c54] [c51] [c50] [c49] [j19] [j18] [j17] [c46] [j15] [c45] [c43] [c42] [c40] [c39] [j14] [j13] [j12] [c38] [c37] [c36] [c33] [p4] [p3] [c31] [c30] [c27] [c26] [c24] [c21]
[c127] [i17] [i12] [c113] [c112] [c111] [d1] [j53] [c110] [c109] [j51] [j49] [c106] [c105] [c103] [j46] [c91] [c89] [c86] [j45] [c85] [i2] [j43] [j42] [j41] [j40] [j39] [c80] [c75] [c74] [j36] [c70] [c69] [c68] [j34] [j32] [j31] [c67] [c60] [j30] [c58] [c57] [c56] [j22] [c55] [j20] [j19] [j18] [c43] [c37] [c36] [j10] [j9] [c28] [c23] [c22] [c20] [c19] [c18] [c17] [c16]
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