@article{DBLP:journals/tkde/PaganelliSPIG23,author={Paganelli, Matteo and Sottovia, Paolo and Park, Kwanghyun and Interlandi, Matteo and Guerra, Francesco},title={Pushing {ML} Predictions Into DBMSs},journal={{IEEE} Trans. Knowl. Data Eng.},volume={35},number={10},pages={10295--10308},year={2023}}
SEBD
Interpretable Entity Matching with WYM
Andrea Baraldi, Francesco Del Buono, Francesco Guerra, and 3 more authors
@inproceedings{DBLP:conf/sebd/0002B0GPV23,author={Baraldi, Andrea and Buono, Francesco Del and Guerra, Francesco and Guiduzzi, Giacomo and Paganelli, Matteo and Vincini, Maurizio},title={Interpretable Entity Matching with {WYM}},booktitle={{SEBD}},series={{CEUR} Workshop Proceedings},volume={3478},pages={101--109},publisher={CEUR-WS.org},year={2023}}
EDBT
An Intrinsically Interpretable Entity Matching System
Andrea Baraldi, Francesco Del Buono, Francesco Guerra, and 2 more authors
@inproceedings{DBLP:conf/edbt/0002B0PV23,author={Baraldi, Andrea and Buono, Francesco Del and Guerra, Francesco and Paganelli, Matteo and Vincini, Maurizio},title={An Intrinsically Interpretable Entity Matching System},booktitle={{EDBT}},pages={645--657},publisher={OpenProceedings.org},year={2023}}
2022
PVLDB
Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering
Angela Bonifati, Francesco Del Buono, Francesco Guerra, and 1 more author
@article{DBLP:journals/pvldb/BonifatiB0T22,author={Bonifati, Angela and Buono, Francesco Del and Guerra, Francesco and Tiano, Donato},title={Time2Feat: Learning Interpretable Representations for Multivariate
Time Series Clustering},journal={Proc. {VLDB} Endow.},volume={16},number={2},pages={193--201},year={2022}}
PVLDB
Analyzing How BERT Performs Entity Matching
Matteo Paganelli, Francesco Del Buono, Andrea Baraldi, and 1 more author
@article{DBLP:journals/pvldb/PaganelliBBG22,author={Paganelli, Matteo and Buono, Francesco Del and Baraldi, Andrea and Guerra, Francesco},title={Analyzing How {BERT} Performs Entity Matching},journal={Proc. {VLDB} Endow.},volume={15},number={8},pages={1726--1738},year={2022},}
SAC
Evaluating the integration of datasets
Matteo Paganelli, Francesco Del Buono, Francesco Guerra, and 1 more author
@inproceedings{DBLP:conf/sac/PaganelliB0022,author={Paganelli, Matteo and Buono, Francesco Del and Guerra, Francesco and Ferro, Nicola},title={Evaluating the integration of datasets},booktitle={{SAC}},pages={347--356},publisher={{ACM}},year={2022}}
SEBD
Landmark Explanation: a Tool for Entity Matching
Andrea Baraldi, Francesco Del Buono, Matteo Paganelli, and 1 more author
@inproceedings{DBLP:conf/sebd/0002BP022,author={Baraldi, Andrea and Buono, Francesco Del and Paganelli, Matteo and Guerra, Francesco},title={Landmark Explanation: a Tool for Entity Matching},booktitle={{SEBD}},series={{CEUR} Workshop Proceedings},volume={3194},pages={69--76},publisher={CEUR-WS.org},year={2022}}
2021
CIKM
Landmark Explanation: An Explainer for Entity Matching Models
Andrea Baraldi, Francesco Del Buono, Matteo Paganelli, and 1 more author
@inproceedings{DBLP:conf/cikm/BaraldiBP021,author={Baraldi, Andrea and Buono, Francesco Del and Paganelli, Matteo and Guerra, Francesco},title={Landmark Explanation: An Explainer for Entity Matching Models},booktitle={{CIKM}},pages={4680--4684},publisher={{ACM}},year={2021},}
EDBT
Automated Machine Learning for Entity Matching Tasks
Matteo Paganelli, Francesco Del Buono, Marco Pevarello, and 2 more authors
@inproceedings{DBLP:conf/edbt/PaganelliBP0V21,author={Paganelli, Matteo and Buono, Francesco Del and Pevarello, Marco and Guerra, Francesco and Vincini, Maurizio},title={Automated Machine Learning for Entity Matching Tasks},booktitle={{EDBT}},pages={325--330},publisher={OpenProceedings.org},year={2021}}
EDBT
Using Landmarks for Explaining Entity Matching Models
Andrea Baraldi, Francesco Del Buono, Matteo Paganelli, and 1 more author
@inproceedings{DBLP:conf/edbt/BaraldiBP021,author={Baraldi, Andrea and Buono, Francesco Del and Paganelli, Matteo and Guerra, Francesco},title={Using Landmarks for Explaining Entity Matching Models},booktitle={{EDBT}},pages={451--456},publisher={OpenProceedings.org},year={2021}}
SEBD
Using Descriptions for Explaining Entity Matches (Discussion Paper)
Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, and 2 more authors
@inproceedings{DBLP:conf/sebd/PaganelliSMI021,author={Paganelli, Matteo and Sottovia, Paolo and Maccioni, Antonio and Interlandi, Matteo and Guerra, Francesco},title={Using Descriptions for Explaining Entity Matches (Discussion Paper)},booktitle={{SEBD}},series={{CEUR} Workshop Proceedings},volume={2994},pages={291--298},publisher={CEUR-WS.org},year={2021}}
SIGMOD
Transforming ML Predictive Pipelines into SQL with MASQ
Francesco Del Buono, Matteo Paganelli, Paolo Sottovia, and 2 more authors
@inproceedings{DBLP:conf/sigmod/BuonoPSI021,author={Buono, Francesco Del and Paganelli, Matteo and Sottovia, Paolo and Interlandi, Matteo and Guerra, Francesco},title={Transforming {ML} Predictive Pipelines into {SQL} with {MASQ}},booktitle={{SIGMOD} Conference},pages={2696--2700},publisher={{ACM}},year={2021}}
EDBT
Proceedings of the 24th International Conference on Extending Database Technology, EDBT 2021, Nicosia, Cyprus, March 23 - 26, 2021
@proceedings{DBLP:conf/edbt/2021,editor={Velegrakis, Yannis and Zeinalipour{-}Yazti, Demetris and Chrysanthis, Panos K. and Guerra, Francesco},title={Proceedings of the 24th International Conference on Extending Database
Technology, {EDBT} 2021, Nicosia, Cyprus, March 23 - 26, 2021},publisher={OpenProceedings.org},year={2021}}
2020
iiWAS
Unsupervised Evaluation of Data Integration Processes
Matteo Paganelli, Francesco Del Buono, Francesco Guerra, and 1 more author
@inproceedings{DBLP:conf/iiwas/PaganelliB0020,author={Paganelli, Matteo and Buono, Francesco Del and Guerra, Francesco and Ferro, Nicola},title={Unsupervised Evaluation of Data Integration Processes},booktitle={iiWAS},pages={77--81},publisher={{ACM}},year={2020}}
Inf.Syst.
Explaining data with descriptions
Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, and 2 more authors
@article{DBLP:journals/is/PaganelliSMIG20,author={Paganelli, Matteo and Sottovia, Paolo and Maccioni, Antonio and Interlandi, Matteo and Guerra, Francesco},title={Explaining data with descriptions},journal={Inf. Syst.},volume={92},pages={101549},year={2020}}
A Comparison of Approaches for Measuring the Semantic Similarity of Short Texts Based on Word Embeddings
Karlo Babic, Francesco Guerra, Sanda Martincic-Ipsic, and 1 more author
Measuring the semantic similarity of texts has a vital role in various tasks from the field of natural language processing. In this paper, we describe a set of experiments we carried out to evaluate and compare the performance of different approaches for measuring the semantic similarity of short texts. We perform a comparison of four models based on word embeddings: two variants of Word2Vec (one based on Word2Vec trained on a specific dataset and the second extending it with embeddings of word senses), FastText, and TF-IDF. Since these models provide word vectors, we experiment with various methods that calculate the semantic similarity of short texts based on word vectors. More precisely, for each of these models, we test five methods for aggregating word embeddings into text embedding. We introduced three methods by making variations of two commonly used similarity measures. One method is an extension of the cosine similarity based on centroids, and the other two methods are variations of the Okapi BM25 function. We evaluate all approaches on the two publicly available datasets: SICK and Lee in terms of the Pearson and Spearman correlation. The results indicate that extended methods perform better from the original in most of the cases.
@article{WOS:000597419200003,author={Babic, Karlo and Guerra, Francesco and Martincic-Ipsic, Sanda and Mestrovic, Ana},title={A Comparison of Approaches for Measuring the Semantic Similarity of
Short Texts Based on Word Embeddings},journal={JOURNAL OF INFORMATION AND ORGANIZATIONAL SCIENCES},year={2020},volume={44},number={2},pages={231-246},type={Article},affiliation={Babic, K (Corresponding Author), Univ Rijeka, Ctr Artificial Intelligence \& Cybersecur, Dept Informat, Rijeka, Croatia.
Babic, Karlo; Martincic-Ipsic, Sanda; Mestrovic, Ana, Univ Rijeka, Ctr Artificial Intelligence \& Cybersecur, Dept Informat, Rijeka, Croatia.
Guerra, Francesco, Univ Modena \& Reggio Emilia, Dept Engn Enzo Ferrari, Modena, Italy.},doi={10.31341/jios.44.2.2},issn={1846-3312},eissn={1846-9418},author-email={karlo.babic@uniri.hr
francesco.guerra@unimore.it
smarti@uniri.hr
amestrovic@uniri.hr},times-cited={0},unique-id={WOS:000597419200003},da={2022-12-15}}