Search Results - "Lucchese, Claudio"

Feature partitioning for robust tree ensembles and their certification in adversarial scenarios by Calzavara, Stefano, Lucchese, Claudio, Marcuzzi, Federico, Orlando, Salvatore

“…Machine learning algorithms, however effective, are known to be vulnerable in adversarial scenarios where a malicious user may inject manipulated instances. In…”
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Early Exit Strategies for Learning-to-Rank Cascades by Busolin, Francesco, Lucchese, Claudio, Nardini, Franco Maria, Orlando, Salvatore, Perego, Raffaele, Trani, Salvatore

“…The ranking pipelines of modern search platforms commonly exploit complex machine-learned models, having a significant impact on the query response time. In…”
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RankEval: Evaluation and investigation of ranking models by Lucchese, Claudio, Muntean, Cristina Ioana, Nardini, Franco Maria, Perego, Raffaele, Trani, Salvatore

“…RankEval is a Python open-source tool for the analysis and evaluation of ranking models based on ensembles of decision trees. Learning-to-Rank (LtR) approaches…”
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Building a web-scale image similarity search system by Batko, Michal, Falchi, Fabrizio, Lucchese, Claudio, Novak, David, Perego, Raffaele, Rabitti, Fausto, Sedmidubsky, Jan, Zezula, Pavel

“…As the number of digital images is growing fast and Content-based Image Retrieval (CBIR) is gaining in popularity, CBIR systems should leap towards Web-scale…”
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A Unifying Framework for Mining Approximate Top- k Binary Patterns by Lucchese, Claudio, Orlando, Salvatore, Perego, Raffaele

“…A major mining task for binary matrixes is the extraction of approximate top-k patterns that are able to concisely describe the input data. The top-k pattern…”
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Beyond robustness: Resilience verification of tree-based classifiers by Calzavara, Stefano, Cazzaro, Lorenzo, Lucchese, Claudio, Marcuzzi, Federico, Orlando, Salvatore

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Treant: training evasion-aware decision trees by Calzavara, Stefano, Lucchese, Claudio, Tolomei, Gabriele, Abebe, Seyum Assefa, Orlando, Salvatore

“…Despite its success and popularity, machine learning is now recognized as vulnerable to evasion attacks , i.e., carefully crafted perturbations of test inputs…”
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Fast Connected Components Computation in Large Graphs by Vertex Pruning by Lulli, Alessandro, Carlini, Emanuele, Dazzi, Patrizio, Lucchese, Claudio, Ricci, Laura

“…Finding connected components is a fundamental task in applications dealing with graph analytics, such as social network analysis, web graph mining and image…”
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Boosting learning to rank with user dynamics and continuation methods by Ferro, Nicola, Lucchese, Claudio, Maistro, Maria, Perego, Raffaele

“…Learning to rank ( LtR ) techniques leverage assessed samples of query-document relevance to learn effective ranking functions able to exploit the noisy…”
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Parallel Traversal of Large Ensembles of Decision Trees by Lettich, Francesco, Lucchese, Claudio, Nardini, Franco Maria, Orlando, Salvatore, Perego, Raffaele, Tonellotto, Nicola, Venturini, Rossano

“…Machine-learnt models based on additive ensembles of regression trees are currently deemed the best solution to address complex classification, regression, and…”
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Extending the state-of-the-art of constraint-based pattern discovery by Bonchi, Francesco, Lucchese, Claudio

“…In the last years, in the context of the constraint-based pattern discovery paradigm, properties of constraints have been studied comprehensively and on the…”
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Quality versus efficiency in document scoring with learning-to-rank models by Capannini, Gabriele, Lucchese, Claudio, Nardini, Franco Maria, Orlando, Salvatore, Perego, Raffaele, Tonellotto, Nicola

“…•Characterization the quality versus cost trade-off of Learning-to-Rank models.•QuickRank: a public-domain Learning-to-Rank learning and evaluation…”
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Automatic controversy detection in social media: A content-independent motif-based approach by Coletto, Mauro, Garimella, Kiran, Gionis, Aristides, Lucchese, Claudio

“…Online social networks are becoming the primary medium by which people get informed, as they provide a forum for expressing ideas, contributing to public…”
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A new prefabricated external thermal insulation composite board with ceramic finishing for buildings retrofitting by Franzoni, Elisa, Pigino, Barbara, Graziani, Gabriela, Lucchese, Claudio, Fregni, Alberto

“…Given the high energy consumption connected to old buildings and their large environmental impact, there is a strong need for effective solutions for the…”
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SEL: A unified algorithm for salient entity linking by Trani, Salvatore, Lucchese, Claudio, Perego, Raffaele, Losada, David E., Ceccarelli, Diego, Orlando, Salvatore

“…The entity linking task consists in automatically identifying and linking the entities mentioned in a text to their uniform resource identifiers in a given…”
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Adult content consumption in online social networks by Coletto, Mauro, Aiello, Luca Maria, Lucchese, Claudio, Silvestri, Fabrizio

“…Users in online social networks naturally organize themselves into overlapping and interlinked communities that are formed around common identity or shared…”
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Fast and memory efficient mining of frequent closed itemsets by Lucchese, C., Orlando, S., Perego, R.

“…This paper presents a new scalable algorithm for discovering closed frequent itemsets, a lossless and condensed representation of all the frequent itemsets…”
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Similarity caching in large-scale image retrieval by Falchi, Fabrizio, Lucchese, Claudio, Orlando, Salvatore, Perego, Raffaele, Rabitti, Fausto

“…► We propose similarity-based caching techniques to increase the throughput of a large-scale CBIR. ► We exploit knowledge from a query log of a real…”
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Right-Protected Data Publishing with Provable Distance-Based Mining by Zoumpoulis, Spyros I., Vlachos, Michail, Freris, Nikolaos M., Lucchese, Claudio

“…Protection of one's intellectual property is a topic with important technological and legal facets. We provide mechanisms for establishing the ownership of a…”
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Perception of social phenomena through the multidimensional analysis of online social networks by Coletto, Mauro, Esuli, Andrea, Lucchese, Claudio, Muntean, Cristina Ioana, Nardini, Franco Maria, Perego, Raffaele, Renso, Chiara

“…We propose an analytical framework aimed at investigating different views of the discussions regarding polarized topics which occur in Online Social Networks…”
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