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2020 – today

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2024
[j52]
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Lorenzo Canale, Luca Cagliero, Laura Farinetti, Marco Torchiano:
On Predicting Exam Performance Using Version Control Systems' Features. Comput. 13(6): 150 (2024)
[j51]
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Irene Benedetto, Moreno La Quatra, Luca Cagliero, Lorenzo Canale, Laura Farinetti:
Abstractive video lecture summarization: applications and future prospects. Educ. Inf. Technol. 29(3): 2951-2971 (2024)
[j50]
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Irene Benedetto, Moreno La Quatra, Luca Cagliero, Luca Vassio, Martino Trevisan:
TASP: Topic-based abstractive summarization of Facebook text posts. Expert Syst. Appl. 255: 124567 (2024)
[j49]
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Lorenzo Vaiani, Luca Cagliero, Paolo Garza:
Emotion Recognition from Videos Using Multimodal Large Language Models. Future Internet 16(7): 247 (2024)
[j48]
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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)
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Yihao Ding, Lorenzo Vaiani, Soyeon Caren Han, Jean Lee, Paolo Garza, Josiah Poon, Luca Cagliero:
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding. ACL (Findings) 2024: 15233-15244
[c79]
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  - conf/caise/BertettoBBMBSB024
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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
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Luca Cagliero, Laura Farinetti, Jacopo Fior, Andrea Ignazio Manenti:
ChatGPT, be my Teaching Assistant! Automatic Correction of SQL Exercises. COMPSAC 2024: 81-87
[c77]
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Davide Napolitano, Lorenzo Vaiani, Luca Cagliero:
On Leveraging Multi-Page Element Relations in Visually-Rich Documents. COMPSAC 2024: 360-365
[c76]
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  - conf/ecir/CambrinCG24
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Daniele Rege Cambrin, Luca Cagliero, Paolo Garza:
DQNC2S: DQN-Based Cross-Stream Crisis Event Summarizer. ECIR (3) 2024: 422-430
[c75]
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Irene Benedetto, Luca Cagliero, Francesco Tarasconi:
Extreme Classification of European Union Law Documents Driven by Entity Embeddings. EDBT/ICDT Workshops 2024
[c74]
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Moreno La Quatra, Salvatore Greco, Luca Cagliero, Michela Tonti, Francesca Dragotto, Rachele Raus, Stefania Cavagnoli, Tania Cerquitelli:
Building Foundations for Inclusiveness through Expert-Annotated Data. EDBT/ICDT Workshops 2024
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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
[c72]
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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
[c71]
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Simone Papicchio, Paolo Papotti, Luca Cagliero:
Evaluating Ambiguous Questions in Semantic Parsing. ICDEW 2024: 338-342
[c70]
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  - conf/semeval/BenedettoKVPCT24
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Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Luca Cagliero, Francesco Tarasconi:
MAINDZ at SemEval-2024 Task 5: CLUEDO - Choosing Legal oUtcome by Explaining Decision through Oversight. SemEval@NAACL 2024: 997-1005
[i7]
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  - journals/corr/abs-2401-06683
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Daniele Rege Cambrin, Luca Cagliero, Paolo Garza:
DQNC2S: DQN-based Cross-stream Crisis event Summarizer. CoRR abs/2401.06683 (2024)
[i6]
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  - journals/corr/abs-2402-17983
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Yihao Ding, Lorenzo Vaiani, Soyeon Caren Han, Jean Lee, Paolo Garza, Josiah Poon, Luca Cagliero:
M3-VRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding. CoRR abs/2402.17983 (2024)
[i5]
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  - journals/corr/abs-2405-00934
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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)
[i4]
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  - journals/corr/abs-2407-16482
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Davide Napolitano, Luca Cagliero:
BONES: a Benchmark fOr Neural Estimation of Shapley values. CoRR abs/2407.16482 (2024)
[i3]
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  - journals/corr/abs-2409-13641
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Daniele Rege Cambrin, Giuseppe Gallipoli, Irene Benedetto, Luca Cagliero, Paolo Garza:
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning. CoRR abs/2409.13641 (2024)
2023
[j47]
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  - journals/algorithms/CaglieroCF23
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Luca Cagliero, Lorenzo Canale, Laura Farinetti:
Data-Driven Analysis of Student Engagement in Time-Limited Computer Laboratories. Algorithms 16(10): 464 (2023)
[j46]
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Silvia Buccafusco, Luca Cagliero, Andrea Megaro, Francesco Vaccarino, Riccardo Loti, Lucia Salvatori:
Learning industrial vehicles' duty patterns: A real case. Comput. Ind. 145: 103826 (2023)
[j45]
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Luca Cagliero, Jacopo Fior, Paolo Garza:
Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition. Expert Syst. Appl. 216: 119493 (2023)
[j44]
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Moreno La Quatra, Luca Cagliero:
BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization. Future Internet 15(1): 15 (2023)
[j43]
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Daniele Giovanni Gioia, Jacopo Fior, Luca Cagliero:
Early portfolio pruning: a scalable approach to hybrid portfolio selection. Knowl. Inf. Syst. 65(6): 2485-2508 (2023)
[j42]
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  - journals/tkde/ColombaCG23
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Luca Colomba, Luca Cagliero, Paolo Garza:
Density-Based Clustering by Means of Bridge Point Identification. IEEE Trans. Knowl. Data Eng. 35(11): 11274-11287 (2023)
[c69]
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  - conf/bigdataconf/CaglieroBVSL23
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Luca Cagliero, Silvia Buccafusco, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti:
Detecting industrial vehicles' duty levels using contrastive learning. IEEE Big Data 2023: 1630-1636
[c68]
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Davide Napolitano, Luca Cagliero:
GX-HUI: Global Explanations of AI Models based on High-Utility Itemsets. COMPSAC 2023: 292-297
[c67]
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Davide Napolitano, Lorenzo Vaiani, Luca Cagliero:
Learning Confidence Intervals for Feature Importance: A Fast Shapley-based Approach. EDBT/ICDT Workshops 2023
[c66]
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  - conf/evalita/DAmicoNVC23
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Lorenzo D'Amico, Davide Napolitano, Lorenzo Vaiani, Luca Cagliero:
PoliTo at MULTI-Fake-DetectiVE: Improving FND-CLIP for Multimodal Italian Fake News Detection. EVALITA 2023
[c65]
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  - conf/evalita/GallipoliQCGC23
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Giuseppe Gallipoli, Moreno La Quatra, Daniele Rege Cambrin, Salvatore Greco, Luca Cagliero:
DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy. EVALITA 2023
[c64]
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  - conf/evalita/KoudounasGBMCAB23
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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
[c63]
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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
[c62]
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  - conf/interspeech/KoudounasQVCAPC23
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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
[c61]
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  - conf/jurix/BenedettoCTGB23
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Irene Benedetto, Luca Cagliero, Francesco Tarasconi, Giuseppe Giacalone, Claudia Bernini:
Benchmarking Abstractive Models for Italian Legal News Summarization. JURIX 2023: 311-316
[c60]
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  - conf/kes/BenedettoSBTCG23
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Irene Benedetto, Gianpiero Sportelli, Sara Bertoldo, Francesco Tarasconi, Luca Cagliero, Giuseppe Giacalone:
On the use of Pretrained Language Models for Legal Italian Document Classification. KES 2023: 2244-2253
[c59]
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Simone Papicchio, Paolo Papotti, Luca Cagliero:
QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data. NeurIPS 2023
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  - conf/pkdd/QuatraGCC23
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Moreno La Quatra, Salvatore Greco, Luca Cagliero, Tania Cerquitelli:
Inclusively: An AI-Based Assistant for Inclusive Writing. ECML/PKDD (7) 2023: 361-365
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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
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Lorenzo Vaiani, Luca Cagliero, Paolo Garza:
PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation. SemEval@ACL 2023: 1447-1453
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Irene Benedetto, Moreno La Quatra, Luca Cagliero, Luca Vassio, Martino Trevisan:
Transformer-based Prediction of Emotional Reactions to Online Social Network Posts. WASSA@ACL 2023: 354-364
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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)
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  - journals/corr/abs-2310-09432
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Davide Napolitano, Lorenzo Vaiani, Luca Cagliero:
Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection. CoRR abs/2310.09432 (2023)
2022
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Jacopo Fior, Luca Cagliero:
Correlating Extreme Weather Conditions With Road Traffic Safety: A Unified Latent Space Model. IEEE Access 10: 73005-73018 (2022)
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Jacopo Fior, Luca Cagliero, Paolo Garza:
Leveraging Explainable AI to Support Cryptocurrency Investors. Future Internet 14(9): 251 (2022)
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Moreno La Quatra, Luca Cagliero:
Transformer-based highlights extraction from scientific papers. Knowl. Based Syst. 252: 109382 (2022)
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Elena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza:
Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach. IEEE Trans. Intell. Transp. Syst. 23(11): 21216-21227 (2022)
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Irene Benedetto, Luca Cagliero, Francesco Tarasconi:
Automatic Inference of Taxonomy Relationships Among Legal Documents. ADBIS (Short Papers) 2022: 24-33
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Jacopo Fior, Luca Cagliero, Tommaso Calò:
Generating Comparative Explanations of Financial Time Series. ADBIS 2022: 121-132
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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
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Stefano Tata, Luca Cagliero:
A scalable approach to detect Contrasting Consecutive Patterns in time series data. COMPSAC 2022: 388-394
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Irene Benedetto, Lorenzo Canale, Laura Farinetti, Luca Cagliero, Moreno La Quatra:
Leveraging summarization techniques in educational technology systems. COMPSAC 2022: 415-416
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Luca Colomba, Luca Cagliero, Paolo Garza:
Mining spatiotemporally invariant patterns. SIGSPATIAL/GIS 2022: 63:1-63:4
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Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
ViPER: Video-based Perceiver for Emotion Recognition. MuSe @ ACM Multimedia 2022: 67-73
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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
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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
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Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
Leveraging multimodal content for podcast summarization. SAC 2022: 863-870
2021
[j37]
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Luca Cagliero, Moreno La Quatra:
Inferring Multilingual Domain-Specific Word Embeddings From Large Document Corpora. IEEE Access 9: 137309-137321 (2021)
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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)
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Moreno La Quatra, Luca Cagliero, Elena Baralis:
Leveraging full-text article exploration for citation analysis. Scientometrics 126(10): 8275-8293 (2021)
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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)
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Luca Cagliero, Moreno La Quatra, Paolo Garza, Elena Baralis:
Cross-lingual timeline summarization. AIKE 2021: 45-53
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Giuseppe Attanasio, Salvatore Greco, Moreno La Quatra, Luca Cagliero, Michela Tonti, Tania Cerquitelli, Rachele Raus:
E-MIMIC: Empowering Multilingual Inclusive Communication. IEEE BigData 2021: 4227-4234
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Luca Cagliero, Moreno La Quatra:
Automatic slides generation in the absence of training data. COMPSAC 2021: 103-108
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Lorenzo Canale, Laura Farinetti, Luca Cagliero:
From teaching books to educational videos and vice versa: a cross-media content retrieval experience. COMPSAC 2021: 115-120
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Jacopo Fior, Luca Cagliero:
Estimating the incidence of adverse weather effects on road traffic safety using time series embeddings. COMPSAC 2021: 402-407
[c39]
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Silvia Buccafusco, Andrea Megaro, Luca Cagliero, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti:
Profiling industrial vehicle duties using CAN bus signal segmentation and clustering. EDBT/ICDT Workshops 2021
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Moreno La Quatra, Luca Cagliero, Elena Baralis, Alberto Messina, Maurizio Montagnuolo:
Summarize Dates First: A Paradigm Shift in Timeline Summarization. SIGIR 2021: 418-427
[c37]
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Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
PoliTO at TREC 2021 Podcast Summarization Track. TREC 2021
2020
[j33]
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Stefano Proto, Evelina Di Corso, Daniele Apiletti, Luca Cagliero, Tania Cerquitelli, Giovanni Malnati, Davide Mazzucchi:
REDTag: A Predictive Maintenance Framework for Parcel Delivery Services. IEEE Access 8: 14953-14964 (2020)
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Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis:
Training ensembles of faceted classification models for quantitative stock trading. Computing 102(5): 1213-1225 (2020)
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Luca Cagliero, Moreno La Quatra:
Extracting highlights of scientific articles: A supervised summarization approach. Expert Syst. Appl. 160: 113659 (2020)
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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)
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Luca Cagliero, Lorenzo Canale, Laura Farinetti:
UNIFORM: Automatic Alignment of Open Learning Datasets. COMPSAC 2020: 95-102
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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
[c34]
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Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis:
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. EDBT/ICDT Workshops 2020
[c33]
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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
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Jacopo Fior, Luca Cagliero:
Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock Trading. ICDM (Workshops) 2020: 333-340
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Elena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero:
An explainable data-driven approach to web directory taxonomy mapping. KES 2020: 1101-1110
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Jacopo Fior, Luca Cagliero, Paolo Garza:
Price series cross-correlation analysis to enhance the diversification of itemset-based stock portfolios. DSMM@SIGMOD 2020: 1:1-1:6
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Giuseppe Attanasio, Luca Cagliero, Elena Baralis:
Leveraging the explainability of associative classifiers to support quantitative stock trading. DSMM@SIGMOD 2020: 2:1-2:6

2010 – 2019

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2019
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Luca Cagliero, Laura Farinetti, Elena Baralis:
Recommending Personalized Summaries of Teaching Materials. IEEE Access 7: 22729-22739 (2019)
[j28]
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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)
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Luca Cagliero, Silvia Chiusano, Elena Daraio, Paolo Garza:
CarPredictor: Forecasting the Number of Free Floating Car Sharing Vehicles within Restricted Urban Areas. BigData Congress 2019: 72-76
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Luca Cagliero, Lorenzo Canale, Laura Farinetti:
VISA: A Supervised Approach to Indexing Video Lectures with Semantic Annotations. COMPSAC (1) 2019: 226-235
[c26]
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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
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Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. ICDM Workshops 2019: 514-521
[c24]
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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
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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
2018
[j27]
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Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Antonio Attanasio:
Characterizing unpredictable patterns in Wireless Sensor Network data. Inf. Sci. 467: 149-162 (2018)
[j26]
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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)
[j25]
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Elena Baralis, Luca Cagliero:
Highlighter: Automatic Highlighting of Electronic Learning Documents. IEEE Trans. Emerg. Top. Comput. 6(1): 7-19 (2018)
[c22]
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Luca Cagliero, Luigi De Russis, Laura Farinetti, Teodoro Montanaro:
Improving the Effectiveness of SQL Learning Practice: A Data-Driven Approach. COMPSAC (1) 2018: 980-989
[c21]
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Luca Cagliero, Paolo Garza:
Study of the Applicability of an Itemset-Based Portfolio Planner in a Multi-Market Context. EDBT/ICDT Workshops 2018: 50-55
2017
[j24]
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Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Xin Xiao:
Predicting critical conditions in bicycle sharing systems. Computing 99(1): 39-57 (2017)
[j23]
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Elena Baralis, Luca Cagliero, Paolo Garza:
Planning stock portfolios by means of weighted frequent itemsets. Expert Syst. Appl. 86: 1-17 (2017)
[j22]
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti:
Discovering profitable stocks for intraday trading. Inf. Sci. 405: 91-106 (2017)
[c20]
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Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero:
Discovering High-Utility Itemsets at Multiple Abstraction Levels. ADBIS (Short Papers and Workshops) 2017: 224-234
[c19]
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Luca Cagliero:
Summarization of emergency news articles driven by relevance feedback. IEEE BigData 2017: 3713-3721
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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
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Luca Cagliero, Laura Farinetti, Elena Baralis:
Test-Driven Summarization: Combining Formative Assessment with Teaching Document Summarization. COMPSAC (1) 2017: 401-406
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Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto, Elena Baralis:
Educational video services in universities: A systematic effectiveness analysis. FIE 2017: 1-9
[c15]
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Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis:
Identifying Collaborations among Researchers: a pattern-based approach. BIRNDL@SIGIR (1) 2017: 56-68
2016
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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)
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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
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Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero:
Discovering air quality patterns in urban environments. UbiComp Adjunct 2016: 25-28
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Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero, Xin Xiao:
Modeling Correlations among Air Pollution-Related Data through Generalized Association Rules. SMARTCOMP 2016: 1-6
2015
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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)
[j19]
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Luca Cagliero, Silvia Chiusano, Paolo Garza, Giulia Bruno:
Pattern set mining with schema-based constraint. Knowl. Based Syst. 84: 224-238 (2015)
[j18]
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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)
[j17]
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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)
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Elena Baralis, Luca Cagliero, Paolo Garza, Luigi Grimaudo:
PaWI: Parallel Weighted Itemset Mining by Means of MapReduce. BigData Congress 2015: 25-32
[c10]
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Elena Baralis, Luca Cagliero, Laura Farinetti:
Generation and Evaluation of Summaries of Academic Teaching Materials. COMPSAC 2015: 881-886
[c9]
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Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Pierangelo Garino, Marco Nardone, Barbara Pralio, Luca Venturini:
Monitoring the citizens' perception on urban security in Smart City environments. ICDE Workshops 2015: 112-116
2014
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Luca Cagliero, Tania Cerquitelli, Paolo Garza, Luigi Grimaudo:
Misleading Generalized Itemset discovery. Expert Syst. Appl. 41(4): 1400-1410 (2014)
[j15]
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza:
Expressive generalized itemsets. Inf. Sci. 278: 327-343 (2014)
[j14]
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Luca Cagliero, Tania Cerquitelli, Paolo Garza, Luigi Grimaudo:
Twitter data analysis by means of Strong Flipping Generalized Itemsets. J. Syst. Softw. 94: 16-29 (2014)
[j13]
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Elena Baralis, Luca Cagliero:
RIB: A Robust Itemset-based Bayesian approach to classification. Knowl. Based Syst. 71: 366-375 (2014)
[j12]
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Luca Cagliero, Paolo Garza:
Infrequent Weighted Itemset Mining Using Frequent Pattern Growth. IEEE Trans. Knowl. Data Eng. 26(4): 903-915 (2014)
[c8]
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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
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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
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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
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Luca Cagliero, Paolo Garza:
Improving classification models with taxonomy information. Data Knowl. Eng. 86: 85-101 (2013)
[j10]
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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)
[j9]
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Luca Cagliero, Alessandro Fiori:
Discovering generalized association rules from Twitter. Intell. Data Anal. 17(4): 627-648 (2013)
[j8]
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Luca Cagliero, Paolo Garza:
Itemset generalization with cardinality-based constraints. Inf. Sci. 244: 161-174 (2013)
[j7]
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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)
[j6]
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Luca Cagliero, Alessandro Fiori, Luigi Grimaudo:
Personalized tag recommendation based on generalized rules. ACM Trans. Intell. Syst. Technol. 5(1): 12:1-12:22 (2013)
[j5]
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Luca Cagliero:
Discovering Temporal Change Patterns in the Presence of Taxonomies. IEEE Trans. Knowl. Data Eng. 25(3): 541-555 (2013)
[j4]
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Elena Baralis, Luca Cagliero, Paolo Garza:
EnBay: A Novel Pattern-Based Bayesian Classifier. IEEE Trans. Knowl. Data Eng. 25(12): 2780-2795 (2013)
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza:
Frequent weighted itemset mining from gene expression data. BIBE 2013: 1-4
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Luca Cagliero, Alessandro Fiori, Luigi Grimaudo:
A Rule-Based Flickr Tag Recommendation System. Social Media Retrieval 2013: 169-189
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Luca Cagliero, Alessandro Fiori:
TweCoM: Topic and Context Mining from Twitter. The Influence of Technology on Social Network Analysis and Mining 2013: 75-100
2012
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Luca Cagliero:
Data mining by means of generalized patterns. Polytechnic University of Turin, Italy, 2012
[j3]
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza:
Generalized association rule mining with constraints. Inf. Sci. 194: 68-84 (2012)
[c4]
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Elena Baralis, Luca Cagliero, Saima Jabeen, Alessandro Fiori:
Multi-document summarization exploiting frequent itemsets. SAC 2012: 782-786
2011
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Luca Cagliero, Tania Cerquitelli, Paolo Garza:
Semi-Automatic Ontology Construction by Exploiting Functional Dependencies and Association Rules. Int. J. Semantic Web Inf. Syst. 7(2): 1-22 (2011)
[j1]
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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)
2010
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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

2000 – 2009

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2009
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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
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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

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