Scheduling High Performance Data Mining Tasks on a Data Grid Environment. - Salvatore Orlando 001; Paolo Palmerini; Raffaele Perego 001; Fabrizio Silvestri (Euro-Par, 2002)

Adaptive and Resource-Aware Mining of Frequent Sets. - Salvatore Orlando 001; Paolo Palmerini; Raffaele Perego 001; Fabrizio Silvestri (ICDM, 2002)

An Efficient Parallel and Distributed Algorithm for Counting Frequent Sets. - Salvatore Orlando 001; Paolo Palmerini; Raffaele Perego 001; Fabrizio Silvestri (VECPAR, 2002)

kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets. - Salvatore Orlando 001; Claudio Lucchese; Paolo Palmerini; Raffaele Perego 001; Fabrizio Silvestri (FIMI, 2003)

A Hybrid Strategy for Caching Web Search Engine Results. - Fabrizio Silvestri; Tiziano Fagni; Salvatore Orlando 001; Paolo Palmerini; Raffaele Perego 001 (WWW (Posters), 2003)

An evaluation of component-based software design approaches. - Diego Puppin; Fabrizio Silvestri; Domenico Laforenza (CCGRID, 2004)

A Highly Scalable Parallel Caching System for Web Search Engine Results. - Tiziano Fagni; Raffaele Perego 001; Fabrizio Silvestri (Euro-Par, 2004)

WebDocs: a real-life huge transactional dataset. - Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri (FIMI, 2004)

WINGS: A Parallel Indexer for Web Contents. - Fabrizio Silvestri; Salvatore Orlando 001; Raffaele Perego 001 (International Conference on Computational Science, 2004)

An Effective Recommender System for Highly Dynamic and Large Web Sites. - Ranieri Baraglia; Francesco Merlo; Fabrizio Silvestri (PKDD, 2004)

Assigning document identifiers to enhance compressibility of Web Search Engines indexes. - Fabrizio Silvestri; Raffaele Perego 001; Salvatore Orlando 001 (SAC, 2004)

An Online Recommender System. - Ranieri Baraglia; Fabrizio Silvestri (SEBD, 2004)

Assigning Document Identifiers to Enhance Compressibility of Fulltext Indices. - Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri (SEBD, 2004)

Assigning identifiers to documents to enhance the clustering property of fulltext indexes. - Fabrizio Silvestri; Salvatore Orlando 001; Raffaele Perego 001 (SIGIR, 2004)

An Online Recommender System for Large Web Sites. - Ranieri Baraglia; Fabrizio Silvestri (Web Intelligence, 2004)

A Search Architecture for Grid Software Components. - Fabrizio Silvestri; Diego Puppin; Domenico Laforenza; Salvatore Orlando 001 (Web Intelligence, 2004)

Design of a Parallel and Distributed Web Search Engine - Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri (CoRR, 2004)

On-line Generation of Suggestions for Web Users. - Fabrizio Silvestri; Ranieri Baraglia; Paolo Palmerini; Massimo Serranó (J. Digit. Inf. Manag., 2004)

A Grid Information Service Based on Peer-to-Peer. - Diego Puppin; Stefano Moncelli; Ranieri Baraglia; Nicola Tonellotto; Fabrizio Silvestri (Euro-Par, 2005)

Component Metadata Management and Publication for the Grid. - Diego Puppin; Fabrizio Silvestri; Domenico Laforenza (ITCC (2), 2005)

SIGIR workshop report: the SIGIR heterogeneous and distributed information retrieval workshop. - Ranieri Baraglia; Domenico Laforenza; Fabrizio Silvestri (SIGIR Forum, 2005)

Toward GRIDLE: A Way to Build Grid Applications Searching Through an Ecosystem of Components. - Diego Puppin; Fabrizio Silvestri; Salvatore Orlando 001; Domenico Laforenza (Grid Computing: Software Environments and Tools, 2006)

The query-vector document model. - Diego Puppin; Fabrizio Silvestri (CIKM, 2006)

Query-driven document partitioning and collection selection. - Diego Puppin; Fabrizio Silvestri; Domenico Laforenza (Infoscale, 2006)

A privacy preserving web recommender system. - Ranieri Baraglia; Claudio Lucchese; Salvatore Orlando 001; Massimo Serranó; Fabrizio Silvestri (SAC, 2006)

The social network of Java classes. - Diego Puppin; Fabrizio Silvestri (SAC, 2006)

Toward a search architecture for software components. - Fabrizio Silvestri; Diego Puppin; Domenico Laforenza; Salvatore Orlando 001 (Concurr. Comput. Pract. Exp., 2006)

Boosting the performance of Web search engines: Caching and prefetching query results by exploiting historical usage data. - Tiziano Fagni; Raffaele Perego 001; Fabrizio Silvestri; Salvatore Orlando 001 (ACM Trans. Inf. Syst., 2006)

Biological Experiments on the Grid: A Novel Workflow Management Platform. - Domenico Laforenza; Rosario Lombardo; M. Scarpellini; Massimo Serranó; Fabrizio Silvestri; P. Faccioli (CBMS, 2007)

An Open Architecture for QoS Information in Business Grids. - Konstantinos Tserpes; Dimosthenis Kyriazis; Andreas Menychtas; Theodora A. Varvarigou; Fabrizio Silvestri; Domenico Laforenza (CoreGRID, 2007)

Sorting Out the Document Identifier Assignment Problem. - Fabrizio Silvestri (ECIR, 2007)

Challenges on Distributed Web Retrieval. - Ricardo A. Baeza-Yates; Carlos Castillo 001; Flavio Junqueira; Vassilis Plachouras; Fabrizio Silvestri (ICDE, 2007)

Mining query logs to optimize index partitioning in parallel web search engines. - Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri (Infoscale, 2007)

Load-balancing and caching for collection selection architectures. - Diego Puppin; Fabrizio Silvestri; Raffaele Perego 001; Ricardo A. Baeza-Yates (Infoscale, 2007)

The impact of caching on search engines. - Ricardo A. Baeza-Yates; Aristides Gionis; Flavio Junqueira; Vanessa Murdock 001; Vassilis Plachouras; Fabrizio Silvestri (SIGIR, 2007)

Know your neighbors: web spam detection using the web topology. - Carlos Castillo 001; Debora Donato; Aristides Gionis; Vanessa Murdock 001; Fabrizio Silvestri (SIGIR, 2007)

Dynamic personalization of web sites without user intervention. - Ranieri Baraglia; Fabrizio Silvestri (Commun. ACM, 2007)

Special issue on heterogeneous and distributed IR. - Fabrizio Silvestri (Inf. Process. Manag., 2007)

Workshop on large-scale distributed systems for information retrieval. - Flavio Junqueira; Vassilis Plachouras; Fabrizio Silvestri; Ivana Podnar (SIGIR Forum, 2007)

Efficiency Issues in Information Retrieval Workshop. - Roi Blanco; Fabrizio Silvestri (ECIR, 2008)

Collaborative ranking of grid-enabled workflow service providers. - Domenico Laforenza; Franco Maria Nardini; Fabrizio Silvestri (HPDC, 2008)

InfoScale 2008: The Third International ICST Conference on Scalable Information Systems. - Ronny Lempel; Raffaele Perego 001; Fabrizio Silvestri (Infoscale, 2008)

(Query) History Teaches Everything, Including the Future. - Fabrizio Silvestri; Ranieri Baraglia; Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001 (LA-WEB, 2008)

SPRANKER: A Discovery Tool to Rank Service Providers Using Quality of Experience. - Domenico Laforenza; Franco Maria Nardini; Fabrizio Silvestri; Gabriele Tolomei (ERCIM News, 2008)

ECIR 2008 Workshop on Efficiency Issues on Information Retrieval. - Roi Blanco; Fabrizio Silvestri (SIGIR Forum, 2008)

Design trade-offs for search engine caching. - Ricardo Baeza-Yates; Aristides Gionis; Flavio Junqueira; Vanessa Murdock 001; Vassilis Plachouras; Fabrizio Silvestri (ACM Trans. Web, 2008)

Aging effects on query flow graphs for query suggestion. - Ranieri Baraglia; Carlos Castillo 001; Debora Donato; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (CIKM, 2009)

Mining Query Logs. - Salvatore Orlando 001; Fabrizio Silvestri (ECIR, 2009)

S-Cube: Addressing Multidisciplinary Research Challenges for the Internet of Services. - Elisabetta Di Nitto; Dimka Karastoyanova; Andreas Metzger; Michael Parkin; Marco Pistore; Klaus Pohl; Fabrizio Silvestri; Willem-Jan van den Heuvel (Future Internet Assembly, 2009)

Challenges in designing an interest-based distributed aggregation of users in P2P systems. - Matteo Mordacchini; Patrizio Dazzi; Gabriele Tolomei; Ranieri Baraglia; Fabrizio Silvestri; Salvatore Orlando 001 (ICUMT, 2009)

Search shortcuts: a new approach to the recommendation of queries. - Ranieri Baraglia; Fidel Cacheda; Victor Carneiro; Diego Fernández 001; Vreixo Formoso; Raffaele Perego 001; Fabrizio Silvestri (RecSys, 2009)

Sorting using BItonic netwoRk wIth CUDA. - Gabriele Capannini; Fabrizio Silvestri; Ranieri Baraglia; Franco Maria Nardini (LSDS-IR@SIGIR, 2009)

Entry Pairing in Inverted File. - Hoang Thanh Lam; Raffaele Perego 001; Quan Thoi Minh Nguyen; Fabrizio Silvestri (WISE, 2009)

Search shortcuts using click-through data. - Ranieri Baraglia; Fidel Cacheda; Victor Carneiro; Vreixo Formoso; Raffaele Perego 001; Fabrizio Silvestri (WSCD@WSDM, 2009)

Search shortcuts: driving users towards their goals. - Ranieri Baraglia; Fidel Cacheda; Victor Carneiro; Vreixo Formoso; Raffaele Perego 001; Fabrizio Silvestri (WWW, 2009)

Special Section: Scalable information systems. - Wang-Chien Lee; Jianliang Xu; Jianzhong Li; Fabrizio Silvestri (Future Gener. Comput. Syst., 2009)

Web Search Result Caching and Prefetching. - Ronny Lempel; Fabrizio Silvestri (Encyclopedia of Database Systems, 2009)

An Incremental Prefix Filtering Approach for the All Pairs Similarity Search Problem. - Hoang Thanh Lam; Dinh Viet Dung; Raffaele Perego 001; Fabrizio Silvestri (APWeb, 2010)

VSEncoding: efficient coding and fast decoding of integer lists via dynamic programming. - Fabrizio Silvestri; Rossano Venturini (CIKM, 2010)

K-Model: A New Computational Model for Stream Processors. - Gabriele Capannini; Fabrizio Silvestri; Ranieri Baraglia (HPCC, 2010)

Detecting Task-Based Query Sessions Using Collaborative Knowledge. - Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Gabriele Tolomei (Web Intelligence/IAT Workshops, 2010)

Towards a task-based search and recommender systems. - Gabriele Tolomei; Salvatore Orlando 001; Fabrizio Silvestri (ICDE Workshops, 2010)

Refreshing Models to Provide Timely Query Recommendations. - Daniele Broccolo; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (IIR, 2010)

The effects of time on query flow graph-based models for query suggestion. - Ranieri Baraglia; Franco Maria Nardini; Carlos Castillo 001; Raffaele Perego 001; Debora Donato; Fabrizio Silvestri (RIAO, 2010)

Analytical Quality Assurance. - Andreas Metzger; Salima Benbernou; Manuel Carro; Maha Driss; Gabor Kecskemeti; Raman Kazhamiakin; Kyriakos Kritikos; Andrea Mocci; Elisabetta Di Nitto; Branimir Wetzstein; Fabrizio Silvestri (S-CUBE Book, 2010)

Incremental Algorithms for Effective and Efficient Query Recommendation. - Daniele Broccolo; Ophir Frieder; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (SPIRE, 2010)

On Tag Spell Checking. - Franco Maria Nardini; Fabrizio Silvestri; Hossein Vahabi; Pedram Vahabi; Ophir Frieder (SPIRE, 2010)

On Using Query Logs for Static Index Pruning. - Hoang Thanh Lam; Raffaele Perego 001; Fabrizio Silvestri (Web Intelligence, 2010)

Mining Query Logs: Turning Search Usage Data into Knowledge. - Fabrizio Silvestri (Found. Trends Inf. Retr., 2010)

A Study on the Effect of Application and Resource Characteristics on the QoS in Service Provisioning Environments. - Theodora A. Varvarigou; Konstantinos Tserpes; Dimosthenis Kyriazis; Fabrizio Silvestri; Nikolaos Psimogiannos (Int. J. Distributed Syst. Technol., 2010)

Tuning the capacity of search engines: Load-driven routing and incremental caching to reduce and balance the load. - Diego Puppin; Fabrizio Silvestri; Raffaele Perego 001; Ricardo Baeza-Yates (ACM Trans. Inf. Syst., 2010)

Representing Document Lengths with Identifiers. - Raffaele Perego 001; Fabrizio Silvestri; Nicola Tonellotto (ECIR, 2011)

Caching query-biased snippets for efficient retrieval. - Diego Ceccarelli; Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri (EDBT, 2011)

Blog Distillation via Sentiment-Sensitive Link Analysis. - Giacomo Berardi; Andrea Esuli; Fabrizio Sebastiani 001; Fabrizio Silvestri (IIR, 2011)

Identifying task-based sessions in search engine query logs. - Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Gabriele Tolomei (WSDM, 2011)

Recommendations for the long tail by term-query graph. - Francesco Bonchi; Raffaele Perego 001; Fabrizio Silvestri; Hossein Vahabi; Rossano Venturini (WWW (Companion Volume), 2011)

Efficient diversification of search results using query logs. - Gabriele Capannini; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (WWW (Companion Volume), 2011)

Efficient Diversification of Web Search Results. - Gabriele Capannini; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (Proc. VLDB Endow., 2011)

A Trajectory-Based Recommender System for Tourism. - Ranieri Baraglia; Claudio Frattari; Cristina Ioana Muntean; Franco Maria Nardini; Fabrizio Silvestri (AMT, 2012)

You should read this! let me explain you why: explaining news recommendations to users. - Roi Blanco; Diego Ceccarelli; Claudio Lucchese; Raffaele Perego 001; Fabrizio Silvestri (CIKM, 2012)

Interactive and context-aware tag spell check and correction. - Francesco Bonchi; Ophir Frieder; Franco Maria Nardini; Fabrizio Silvestri; Hossein Vahabi (CIKM, 2012)

Making your interests follow you on twitter. - Marco Pennacchiotti; Fabrizio Silvestri; Hossein Vahabi; Rossano Venturini (CIKM, 2012)

Using Machine Learning and Information Retrieval Techniques to Improve Software Maintainability. - Anna Corazza; Sergio Di Martino; Valerio Maggio; Alessandro Moschitti; Andrea Passerini; Giuseppe Scanniello; Fabrizio Silvestri (EternalS@ECAI, 2012)

How Random Walks Can Help Tourism. - Claudio Lucchese; Raffaele Perego 001; Fabrizio Silvestri; Hossein Vahabi; Rossano Venturini (ECIR, 2012)

RecTour: A Recommender System for Tourists. - Ranieri Baraglia; Claudio Frattari; Cristina Ioana Muntean; Franco Maria Nardini; Fabrizio Silvestri (Web Intelligence/IAT Workshops, 2012)

Efficient query recommendations in the long tail via center-piece subgraphs. - Francesco Bonchi; Raffaele Perego 001; Fabrizio Silvestri; Hossein Vahabi; Rossano Venturini (SIGIR, 2012)

Prefetching query results and its impact on search engines. - Simon Jonassen; Berkant Barla Cambazoglu; Fabrizio Silvestri (SIGIR, 2012)

Cite-as-you-write. - Kris Jack; Maurizio Sambati; Fabrizio Silvestri; Salvatore Trani; Rossano Venturini (ERCIM News, 2012)

Generating suggestions for queries in the long tail with an inverted index. - Daniele Broccolo; Lorenzo Marcon; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (Inf. Process. Manag., 2012)

Sorting on GPUs for large scale datasets: A thorough comparison. - Gabriele Capannini; Fabrizio Silvestri; Ranieri Baraglia (Inf. Process. Manag., 2012)

ECIR 2012: 34th european conference on information retrieval research. - Ricardo Baeza-Yates; Mari-Carmen Marcos; Arjen P. de Vries; Hugo Zaragoza; Berkant Barla Cambazoglu; Vanessa Murdock 001; Alvaro Barreiro; David E. Losada; Ronny Lempel; Fabrizio Silvestri; Mounia Lalmas (SIGIR Forum, 2012)

LearNext: learning to predict tourists movements. - Ranieri Baraglia; Cristina Ioana Muntean; Franco Maria Nardini; Fabrizio Silvestri (CIKM, 2013)

Load-sensitive selective pruning for distributed search. - Daniele Broccolo; Craig Macdonald; Salvatore Orlando 001; Iadh Ounis; Raffaele Perego 001; Fabrizio Silvestri; Nicola Tonellotto (CIKM, 2013)

Modeling and predicting the task-by-task behavior of search engine users. - Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Gabriele Tolomei (OAIR, 2013)

Query Processing in Highly-Loaded Search Engines. - Daniele Broccolo; Craig Macdonald; Salvatore Orlando 001; Iadh Ounis; Raffaele Perego 001; Fabrizio Silvestri; Nicola Tonellotto (SPIRE, 2013)

Towards leveraging closed captions for news retrieval. - Roi Blanco; Gianmarco De Francisci Morales; Fabrizio Silvestri (WWW (Companion Volume), 2013)

Learning to shorten query sessions. - Cristina Ioana Muntean; Franco Maria Nardini; Fabrizio Silvestri; Marcin Sydow (WWW (Companion Volume), 2013)

Endorsements and rebuttals in blog distillation. - Giacomo Berardi; Andrea Esuli; Fabrizio Sebastiani 001; Fabrizio Silvestri (Inf. Sci., 2013)

Editorial. - Roberto Grossi; Fabrizio Sebastiani 001; Fabrizio Silvestri (J. Discrete Algorithms, 2013)

Discovering tasks from search engine query logs. - Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Gabriele Tolomei (ACM Trans. Inf. Syst., 2013)

Recommender Systems. - Claudio Lucchese; Cristina Ioana Muntean; Raffaele Perego 001; Fabrizio Silvestri; Hossein Vahabi; Rossano Venturini (Mining User Generated Content, 2014)

MUSETS: Diversity-Aware Web Query Suggestions for Shortening User Sessions. - Marcin Sydow; Cristina Ioana Muntean; Franco Maria Nardini; Stan Matwin; Fabrizio Silvestri (ISMIS, 2015)

Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users. - Mounia Lalmas; Janette Lehmann; Guy Shaked; Fabrizio Silvestri; Gabriele Tolomei (KDD, 2015)

HEADS: Headline Generation as Sequence Prediction Using an Abstract Feature-Rich Space. - Carlos A. Colmenares; Marina Litvak; Amin Mantrach; Fabrizio Silvestri (HLT-NAACL, 2015)

Context- and Content-aware Embeddings for Query Rewriting in Sponsored Search. - Mihajlo Grbovic; Nemanja Djuric; Vladan Radosavljevic; Fabrizio Silvestri; Narayan Bhamidipati (SIGIR, 2015)

Predicting The Next App That You Are Going To Use. - Ricardo Baeza-Yates; Di Jiang; Fabrizio Silvestri; Beverly Harrison (WSDM, 2015)

Large-scale Contextual Query-to-Ad Matching and Retrieval System for Sponsored Search: (Abstract). - Ricardo Baeza-Yates; Nemanja Djuric; Mihajlo Grbovic; Vladan Radosavljevic; Fabrizio Silvestri (WWW (Companion Volume), 2015)

IntoNews: Online news retrieval using closed captions. - Roi Blanco; Gianmarco De Francisci Morales; Fabrizio Silvestri (Inf. Process. Manag., 2015)

On Learning Prediction Models for Tourists Paths. - Cristina Ioana Muntean; Franco Maria Nardini; Fabrizio Silvestri; Ranieri Baraglia (ACM Trans. Intell. Syst. Technol., 2015)

The Role of Relevance in Sponsored Search. - Luca Maria Aiello; Ioannis Arapakis; Ricardo Baeza-Yates; Xiao Bai 002; Nicola Barbieri; Amin Mantrach; Fabrizio Silvestri (CIKM, 2016)

Improving Profiles of Weakly-Engaged Users - With Applications to Recommender Systems. - Gaurav Singh 001; Amin Mantrach; Fabrizio Silvestri (CLEF, 2016)

On the Behaviour of Deviant Communities in Online Social Networks. - Mauro Coletto; Luca Maria Aiello; Claudio Lucchese; Fabrizio Silvestri (ICWSM, 2016)

Post-Learning Optimization of Tree Ensembles. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Salvatore Trani (IIR, 2016)

Network-Aware Recommendations of Novel Tweets. - Noor Aldeen Alawad; Aris Anagnostopoulos; Stefano Leonardi 001; Ida Mele; Fabrizio Silvestri (SIGIR, 2016)

Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising. - Mihajlo Grbovic; Nemanja Djuric; Vladan Radosavljevic; Fabrizio Silvestri; Ricardo Baeza-Yates; Andrew Feng; Erik Ordentlich; Lee Yang; Gavin Owens (SIGIR, 2016)

Post-Learning Optimization of Tree Ensembles for Efficient Ranking. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Salvatore Trani (SIGIR, 2016)

Improving Post-Click User Engagement on Native Ads via Survival Analysis. - Nicola Barbieri; Fabrizio Silvestri; Mounia Lalmas (WWW, 2016)

Pornography consumption in Social Media. - Mauro Coletto; Luca Maria Aiello; Claudio Lucchese; Fabrizio Silvestri (CoRR, 2016)

Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings. - Gaurav Singh 001; Fabrizio Silvestri; John Shawe-Taylor (CoRR, 2016)

Report on ECIR 2016: 38th European Conference on Information Retrieval. - Nicola Ferro 001; Fabio Crestani; Marie-Francine Moens; Josiane Mothe; Fabrizio Silvestri; Jaana Kekäläinen; Paolo Rosso; Paul D. Clough; Gabriella Pasi; Christina Lioma; Stefano Mizzaro; Giorgio Maria Di Nunzio; et al. (SIGIR Forum, 2016)

Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking. - Gabriele Tolomei; Fabrizio Silvestri; Andrew Haines; Mounia Lalmas (KDD, 2017)

Friendly, Appealing or Both?: Characterising User Experience in Sponsored Search Landing Pages. - Marc Bron; Miriam Redi; Mounia Lalmas; Fabrizio Silvestri; Huw Evans; Mahlon Chute (WWW (Companion Volume), 2017)

Tour recommendation for groups. - Aris Anagnostopoulos; Reem Atassi; Luca Becchetti; Adriano Fazzone; Fabrizio Silvestri (Data Min. Knowl. Discov., 2017)

Exploiting search history of users for news personalization. - Xiao Bai 002; Berkant Barla Cambazoglu; Francesco Gullo; Amin Mantrach; Fabrizio Silvestri (Inf. Sci., 2017)

Adult content consumption in online social networks. - Mauro Coletto; Luca Maria Aiello; Claudio Lucchese; Fabrizio Silvestri (Soc. Netw. Anal. Min., 2017)

OSNED 2018 Chairs' Welcome & Organization. - Rémy Cazabet; Andrea Passarella; Giulio Rossetti; Fabrizio Silvestri (WWW (Companion Volume), 2018)

X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Salvatore Trani (ACM Trans. Intell. Syst. Technol., 2018)

Web Search Result Caching and Prefetching. - Ronny Lempel; Fabrizio Silvestri (Encyclopedia of Database Systems (2nd ed.), 2018)

Misspelling Oblivious Word Embeddings. - Bora Edizel; Aleksandra Piktus; Piotr Bojanowski; Rui Ferreira; Edouard Grave; Fabrizio Silvestri (NAACL-HLT (1), 2019)

Enlisting the Public to Build a Healthier Web Information Commons. - Amin Mantrach; Fabrizio Silvestri (WWW, 2019)

Editorial - Special issue on OSNEM network properties and dynamics. - Rémy Cazabet; Andrea Passarella; Giulio Rossetti; Fabrizio Silvestri (Online Soc. Networks Media, 2019)

Improving News Personalization Through Search Logs. - Xiao Bai 002; Berkant Barla Cambazoglu; Francesco Gullo; Amin Mantrach; Fabrizio Silvestri (BIAS, 2020)

How Decoding Strategies Affect the Verifiability of Generated Text. - Luca Massarelli; Fabio Petroni; Aleksandra Piktus; Myle Ott; Tim Rocktäschel; Vassilis Plachouras; Fabrizio Silvestri; Sebastian Riedel 001 (EMNLP (Findings), 2020)

Node Masking: Making Graph Neural Networks Generalize and Scale Better. - Pushkar Mishra; Aleksandra Piktus; Gerard Goossen; Fabrizio Silvestri (CoRR, 2020)

Neural Databases. - James Thorne; Majid Yazdani; Marzieh Saeidi; Fabrizio Silvestri; Sebastian Riedel 001; Alon Y. Halevy (CoRR, 2020)

Detecting Propaganda Techniques in Memes. - Dimitar Dimitrov 003; Bishr Bin Ali; Shaden Shaar; Firoj Alam; Fabrizio Silvestri; Hamed Firooz; Preslav Nakov; Giovanni Da San Martino (ACL/IJCNLP (1), 2021)

Database reasoning over text. - James Thorne; Majid Yazdani; Marzieh Saeidi; Fabrizio Silvestri; Sebastian Riedel 001; Alon Y. Halevy (ACL/IJCNLP (1), 2021)

Concept Matching for Low-Resource Classification. - Federico Errica; Fabrizio Silvestri; Bora Edizel; Ludovic Denoyer; Fabio Petroni; Vassilis Plachouras; Sebastian Riedel 001 (IJCNN, 2021)

SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. - Dimitar Dimitrov 003; Bishr Bin Ali; Shaden Shaar; Firoj Alam; Fabrizio Silvestri; Hamed Firooz; Preslav Nakov; Giovanni Da San Martino (SemEval@ACL/IJCNLP, 2021)

ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models. - Ziheng Chen 002; Fabrizio Silvestri; Gabriele Tolomei; He Zhu 001; Jia Wang 009; Hongshik Ahn (CoRR, 2021)

Neural network quantization in federated learning at the edge. - Nicola Tonellotto; Alberto Gotta; Franco Maria Nardini; Daniele Gadler; Fabrizio Silvestri (Inf. Sci., 2021)

From Natural Language Processing to Neural Databases. - James Thorne; Majid Yazdani; Marzieh Saeidi; Fabrizio Silvestri; Sebastian Riedel 001; Alon Y. Levy (Proc. VLDB Endow., 2021)

Generating Actionable Interpretations from Ensembles of Decision Trees. - Gabriele Tolomei; Fabrizio Silvestri (IEEE Trans. Knowl. Data Eng., 2021)

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. - Ana Lucic; Maartje A. ter Hoeve; Gabriele Tolomei; Maarten de Rijke; Fabrizio Silvestri (AISTATS, 2022)

ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. - Ziheng Chen 002; Fabrizio Silvestri; Jia Wang 009; He Zhu 001; Hongshik Ahn; Gabriele Tolomei (CIKM, 2022)

A Survey on Multimodal Disinformation Detection. - Firoj Alam; Stefano Cresci; Tanmoy Chakraborty 002; Fabrizio Silvestri; Dimiter Dimitrov; Giovanni Da San Martino; Shaden Shaar; Hamed Firooz; Preslav Nakov (COLING, 2022)

Detecting and Understanding Harmful Memes: A Survey. - Shivam Sharma; Firoj Alam; Md. Shad Akhtar; Dimitar Dimitrov 003; Giovanni Da San Martino; Hamed Firooz; Alon Y. Halevy; Fabrizio Silvestri; Preslav Nakov; Tanmoy Chakraborty 002 (IJCAI, 2022)

FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection. - Giorgio Barnabò; Federico Siciliano; Carlos Castillo 001; Stefano Leonardi 001; Preslav Nakov; Giovanni Da San Martino; Fabrizio Silvestri (IJCNN, 2022)

NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. - Federico Siciliano; Maria Sofia Bucarelli; Gabriele Tolomei; Fabrizio Silvestri (IJCNN, 2022)

On the Role of Relevance in Natural Language Processing Tasks. - Artsiom Sauchuk; James Thorne; Alon Y. Halevy; Nicola Tonellotto; Fabrizio Silvestri (SIGIR, 2022)

Preserving integrity in online social networks. - Alon Y. Halevy; Cristian Canton-Ferrer; Hao Ma; Umut Ozertem; Patrick Pantel; Marzieh Saeidi; Fabrizio Silvestri; Ves Stoyanov (Commun. ACM, 2022)

Encoding Concepts in Graph Neural Networks. - Lucie Charlotte Magister; Pietro Barbiero; Dmitry Kazhdan; Federico Siciliano; Gabriele Ciravegna; Fabrizio Silvestri; Pietro Liò; Mateja Jamnik (CoRR, 2022)

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations. - Ziheng Chen 002; Fabrizio Silvestri; Jia Wang 009; Yongfeng Zhang; Zhenhua Huang 001; Hongshik Ahn; Gabriele Tolomei (CoRR, 2022)

Editorial: Human-Interpretable Machine Learning. - Gabriele Tolomei; Fabio Pinelli; Fabrizio Silvestri (Frontiers Big Data, 2022)

RRAML: Reinforced Retrieval Augmented Machine Learning. - Andrea Bacciu; Florin Cuconasu; Federico Siciliano; Fabrizio Silvestri; Nicola Tonellotto; Giovanni Trappolini (DP@AI*IA, 2023)

Graph Learning for Exploratory Query Suggestions in an Instant Search System. - Enrico Palumbo; Andreas Damianou; Alice Wang; Alva Liu; Ghazal Fazelnia; Francesco Fabbri; Rui Ferreira; Fabrizio Silvestri; Hugues Bouchard; Claudia Hauff; Mounia Lalmas; Ben Carterette; et al. (CIKM, 2023)

Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models. - Gabriele Tolomei; Cesare Campagnano; Fabrizio Silvestri; Giovanni Trappolini (CogMI, 2023)

Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels. - Maria Sofia Bucarelli; Lucas Cassano; Federico Siciliano; Amin Mantrach; Fabrizio Silvestri (CVPR, 2023)

Attention-likelihood relationship in Transformers. - Valeria Ruscio; Valentino Maiorca; Fabrizio Silvestri (Tiny Papers @ ICLR, 2023)

Fauno: The Italian Large Language Model that will leave you senza parole! - Andrea Bacciu; Giovanni Trappolini; Andrea Santilli; Emanuele Rodolà; Fabrizio Silvestri (IIR, 2023)

Sheaf Hypergraph Networks. - Iulia Duta; Giulia Cassarà; Fabrizio Silvestri; Pietro Lió (NeurIPS, 2023)

Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it. - Federico Siciliano; Luca Maiano; Lorenzo Papa; Federica Baccini; Irene Amerini; Fabrizio Silvestri (PKDD/ECML Workshops (2), 2023)

Integrating Item Relevance in Training Loss for Sequential Recommender Systems. - Andrea Bacciu; Federico Siciliano; Nicola Tonellotto; Fabrizio Silvestri (RecSys, 2023)

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. - Ziheng Chen 002; Fabrizio Silvestri; Jia Wang 009; Yongfeng Zhang; Gabriele Tolomei (SIGIR, 2023)

Multimodal Neural Databases. - Giovanni Trappolini; Andrea Santilli; Emanuele Rodolà; Alon Y. Halevy; Fabrizio Silvestri (SIGIR, 2023)

Concept Distillation in Graph Neural Networks. - Lucie Charlotte Magister; Pietro Barbiero; Dmitry Kazhdan; Federico Siciliano; Gabriele Ciravegna; Fabrizio Silvestri; Mateja Jamnik; Pietro Liò (xAI (3), 2023)

Combining Distance to Class Centroids and Outlier Discounting for Improved Learning with Noisy Labels. - Farooq Ahmad Wani; Maria Sofia Bucarelli; Fabrizio Silvestri (CoRR, 2023)

Sheaf Neural Networks for Graph-based Recommender Systems. - Antonio Purificato; Giulia Cassarà; Pietro Liò; Fabrizio Silvestri (CoRR, 2023)

Renormalized Graph Neural Networks. - Francesco Caso; Giovanni Trappolini; Andrea Bacciu; Pietro Liò; Fabrizio Silvestri (CoRR, 2023)

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. - Filippo Betello; Federico Siciliano; Pushkar Mishra; Fabrizio Silvestri (CoRR, 2023)

Community Membership Hiding as Counterfactual Graph Search via Deep Reinforcement Learning. - Andrea Bernini; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2023)

Harmonizing Global Voices: Culturally-Aware Models for Enhanced Content Moderation. - Alex J. Chan; José Luis Redondo García; Fabrizio Silvestri; Colm O'Donnel; Konstantina Palla (CoRR, 2023)

CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN. - Giorgio Barnabò; Giovanni Trappolini; Lorenzo Lastilla; Cesare Campagnano; Angela Fan; Fabio Petroni; Fabrizio Silvestri (Discov. Artif. Intell., 2023)

Deep active learning for misinformation detection using geometric deep learning. - Giorgio Barnabò; Federico Siciliano; Carlos Castillo 001; Stefano Leonardi 001; Preslav Nakov; Giovanni Da San Martino; Fabrizio Silvestri (Online Soc. Networks Media, 2023)

Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking. - Alessandro Sbandi; Federico Siciliano; Fabrizio Silvestri (CIKM, 2024)

DanteLLM: Let's Push Italian LLM Research Forward! - Andrea Bacciu; Cesare Campagnano; Giovanni Trappolini; Fabrizio Silvestri (LREC/COLING, 2024)

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations. - Filippo Betello; Federico Siciliano; Pushkar Mishra; Fabrizio Silvestri (ECIR (2), 2024)

Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems. - Filippo Betello; Federico Siciliano; Pushkar Mishra; Fabrizio Silvestri (IIR, 2024)

Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation. - Florin Cuconasu; Giovanni Trappolini; Federico Siciliano; Simone Filice; Cesare Campagnano; Yoelle Maarek; Nicola Tonellotto; Fabrizio Silvestri (IIR, 2024)

Learning with Noisy Labels through Learnable Weighting and Centroid Similarity. - Farooq Ahmad Wani; Maria Sofia Bucarelli; Fabrizio Silvestri (IJCNN, 2024)

The Impact of Source-Target Node Distance on Vicious Adversarial Attacks in Social Network Recommendation Systems. - Federico Albanese; Giovanni Trappolini; Lorenzo Scarlino; Fabrizio Silvestri (IRonGraphs, 2024)

Evading Community Detection via Counterfactual Neighborhood Search. - Andrea Bernini; Fabrizio Silvestri; Gabriele Tolomei (KDD, 2024)

TSMO 2024: Two-sided Marketplace Optimization. - Mihajlo Grbovic; Vladan Radosavljevic; Minmin Chen; Katerina Iliakopoulou-Zanos; Thanasis Noulas; Amit Goyal; Fabrizio Silvestri (KDD, 2024)

RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems. - Valerio Guarrasi; Federico Siciliano; Fabrizio Silvestri (RecSys, 2024)

Robust Solutions for Ranking Variability in Recommender Systems. - Bonifacio Marco Francomano; Federico Siciliano; Fabrizio Silvestri (RobustRecSys@RecSys, 2024)

SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes. - Dimitar Dimitrov 003; Firoj Alam; Maram Hasanain; Abul Hasnat 001; Fabrizio Silvestri; Preslav Nakov; Giovanni Da San Martino (SemEval@NAACL, 2024)

The Power of Noise: Redefining Retrieval for RAG Systems. - Florin Cuconasu; Giovanni Trappolini; Federico Siciliano; Simone Filice; Cesare Campagnano; Yoelle Maarek; Nicola Tonellotto; Fabrizio Silvestri (SIGIR, 2024)

IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems. - Fabio Petroni; Federico Siciliano; Fabrizio Silvestri; Giovanni Trappolini (SIGIR, 2024)

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. - Marco De Nadai; Francesco Fabbri; Paul Gigioli; Alice Wang; Ang Li; Fabrizio Silvestri; Laura Kim; Shawn Lin; Vladan Radosavljevic; Sandeep Ghael; David Nyhan; Hugues Bouchard; et al. (WWW (Companion Volume), 2024)

Human-in-the-Loop Personalized Counterfactual Recourse. - Carlo Abrate; Federico Siciliano; Francesco Bonchi; Fabrizio Silvestri (xAI (3), 2024)

Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach. - Andrea Giuseppe Di Francesco; Francesco Caso; Maria Sofia Bucarelli; Fabrizio Silvestri (CoRR, 2024)

∇ τ: Gradient-based and Task-Agnostic machine Unlearning. - Daniel Trippa; Cesare Campagnano; Maria Sofia Bucarelli; Gabriele Tolomei; Fabrizio Silvestri (CoRR, 2024)

Debiasing Machine Unlearning with Counterfactual Examples. - Ziheng Chen 002; Jia Wang 009; Jun Zhuang; Abbavaram Gowtham Reddy; Fabrizio Silvestri; Jin Huang 010; Kaushiki Nag; Kun Kuang; Xin Ning 001; Gabriele Tolomei (CoRR, 2024)

Generating Query Recommendations via LLMs. - Andrea Bacciu; Enrico Palumbo; Andreas Damianou; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

Graph Neural Re-Ranking via Corpus Graph. - Andrea Giuseppe Di Francesco; Christian Giannetti; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

Predicting Award Winning Research Papers at Publication Time. - Riccardo Vella; Andrea Vitaletti; Fabrizio Silvestri (CoRR, 2024)

A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems. - Florin Cuconasu; Giovanni Trappolini; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

Eco-Aware Graph Neural Networks for Sustainable Recommendations. - Antonio Purificato; Fabrizio Silvestri (CoRR, 2024)

Beyond position: how rotary embeddings shape representations and memory in autoregressive transfomers. - Valeria Ruscio; Fabrizio Silvestri (CoRR, 2024)

ATM: Improving Model Merging by Alternating Tuning and Merging. - Luca Zhou; Daniele Solombrino; Donato Crisostomi; Maria Sofia Bucarelli; Fabrizio Silvestri; Emanuele Rodolà (CoRR, 2024)

A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling. - Giulia Di Teodoro; Federico Siciliano; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks. - Farooq Ahmad Wani; Maria Sofia Bucarelli; Andrea Giuseppe Di Francesco; Oleksandr Pryymak; Fabrizio Silvestri (CoRR, 2024)

Static Pruning in Dense Retrieval using Matrix Decomposition. - Federico Siciliano; Francesca Pezzuti; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

ECLIPSE: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval. - Giulio D'Erasmo; Giovanni Trappolini; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

A topological description of loss surfaces based on Betti Numbers. - Maria Sofia Bucarelli; Giuseppe Alessio D'Inverno; Monica Bianchini; Franco Scarselli; Fabrizio Silvestri (Neural Networks, 2024)

Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent. - Ziheng Chen 002; Fabrizio Silvestri; Gabriele Tolomei; Jia Wang 009; He Zhu 001; Hongshik Ahn (IEEE Trans. Artif. Intell., 2024)

Sparse Vicious Attacks on Graph Neural Networks. - Giovanni Trappolini; Valentino Maiorca; Silvio Severino; Emanuele Rodolà; Fabrizio Silvestri; Gabriele Tolomei (IEEE Trans. Artif. Intell., 2024)

Report on the Search Futures Workshop at ECIR 2024. - Leif Azzopardi; Charles L. A. Clarke; Paul B. Kantor; Bhaskar Mitra 001; Johanne R. Trippas; Zhaochun Ren; Mohammad Aliannejadi; Negar Arabzadeh; Raman Chandrasekar; Maarten de Rijke; Panagiotis Eustratiadis; William R. Hersh; et al. (SIGIR Forum, 2024)

Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE). - Richard Chbeir; Zi Helen Huang; Yannis Manolopoulos; Fabrizio Silvestri (World Wide Web (WWW), 2024)

Report on the 1st Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2024) at SIGIR 2024. - Fabio Petroni; Federico Siciliano; Fabrizio Silvestri; Giovanni Trappolini (SIGIR Forum, 2024)

Beyond Position: the emergence of wavelet-like properties in Transformers. - Valeria Ruscio; Umberto Nanni; Fabrizio Silvestri (ACL (1), 2025)

Natural Language Counterfactual Explanations for Graphs Using Large Language Models. - Flavio Giorgi; Cesare Campagnano; Fabrizio Silvestri; Gabriele Tolomei (AISTATS, 2025)

Task Singular Vectors: Reducing Task Interference in Model Merging. - Antonio Andrea Gargiulo; Donato Crisostomi; Maria Sofia Bucarelli; Simone Scardapane; Fabrizio Silvestri; Emanuele Rodolà (CVPR, 2025)

E2Rank: Efficient and Effective Layer-Wise Reranking. - Cesare Campagnano; Antonio Mallia; Jack Pertschuk; Fabrizio Silvestri (ECIR (3), 2025)

Variational Inference of Parameters in Opinion Dynamics Models. - Jacopo Lenti; Fabrizio Silvestri; Gianmarco De Francisci Morales (ICWSM, 2025)

IR-RAG @SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems. - Negar Arabzadeh; Ziheng Chen 002; Fabio Petroni; Federico Siciliano; Fabrizio Silvestri; Giovanni Trappolini (SIGIR, 2025)

Unveiling DIME: Reproducibility, Generalizability, and Formal Analysis of Dimension Importance Estimation for Dense Retrieval. - Cesare Campagnano; Antonio Mallia; Fabrizio Silvestri (SIGIR, 2025)

STLight: A Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal Joint Processing. - Andrea Alfarano; Alberto Alfarano; Linda Friso; Andrea Bacciu; Irene Amerini; Fabrizio Silvestri (WACV, 2025)

A Reproducible Analysis of Sequential Recommender Systems. - Filippo Betello; Antonio Purificato; Federico Siciliano; Giovanni Trappolini; Andrea Bacciu; Nicola Tonellotto; Fabrizio Silvestri (IEEE Access, 2025)

Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks. - Giovanni Trappolini; Antonio Purificato; Federico Siciliano; Luigi D'Addona; Anna Maria Spagnolo; Domenico Dato; Fabrizio Silvestri (IEEE Access, 2025)

A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1. - Giulia Di Teodoro; Federico Siciliano; Valerio Guarrasi; Anne-Mieke Vandamme; Valeria Ghisetti; Anders Sönnerborg; Maurizio Zazzi; Fabrizio Silvestri; Laura Palagi (Comput. Medical Imaging Graph., 2025)

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion 2. - Ludovica Schaerf; Andrea Alfarano; Fabrizio Silvestri; Leonardo Impett (CoRR, 2025)

Community Membership Hiding via Gradient-based Optimization. - Matteo Silvestri; Edoardo Gabrielli; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2025)

Generalizability through Explainability: Countering Overfitting with Counterfactual Examples. - Flavio Giorgi; Fabiano Veglianti; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2025)

COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations. - Flavio Giorgi; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2025)

The Majority Vote Paradigm Shift: When Popular Meets Optimal. - Antonio Purificato; Maria Sofia Bucarelli; Anil Kumar Nelakanti; Andrea Bacciu; Fabrizio Silvestri; Amin Mantrach (CoRR, 2025)

MASS: MoErging through Adaptive Subspace Selection. - Donato Crisostomi; Alessandro Zirilli; Antonio Andrea Gargiulo; Maria Sofia Bucarelli; Simone Scardapane; Fabrizio Silvestri; Iacopo Masi; Emanuele Rodolà (CoRR, 2025)

Consistent Counterfactual Explanations via Anomaly Control and Data Coherence. - Maria Movin; Federico Siciliano; Rui Ferreira; Fabrizio Silvestri; Gabriele Tolomei (IEEE Trans. Artif. Intell., 2025)

One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection. - Filippo Betello; Antonio Purificato; Vittoria Vineis; Gabriele Tolomei; Fabrizio Silvestri (CoRR, 2025)

Do RAG Systems Suffer From Positional Bias? - Florin Cuconasu; Simone Filice; Guy Horowitz; Yoelle Maarek; Fabrizio Silvestri (CoRR, 2025)

Early-Exit Graph Neural Networks. - Andrea Giuseppe Di Francesco; Maria Sofia Bucarelli; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2025)

Generalizability vs. Counterfactual Explainability Trade-Off. - Fabiano Veglianti; Flavio Giorgi; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2025)

What are you sinking? A geometric approach on attention sink. - Valeria Ruscio; Umberto Nanni; Fabrizio Silvestri (CoRR, 2025)

Demystifying Sequential Recommendations: Counterfactual Explanations via Genetic Algorithms. - Domiziano Scarcelli; Filippo Betello; Giuseppe Perelli; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2025)