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2020 – today
- 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 - [i14]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) - [i13]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) - [i12]Alkis Koudounas, Flavio Giobergia, Eliana Pastor, Elena Baralis:
A Contrastive Learning Approach to Mitigate Bias in Speech Models. CoRR abs/2406.14686 (2024) - [i11]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) - [i10]Moreno La Quatra, Alkis Koudounas, Elena Baralis, Sabato Marco Siniscalchi:
Speech Analysis of Language Varieties in Italy. CoRR abs/2406.15862 (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 - [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]