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ORCIDFabrizio Silvestri
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- affiliation: Sapienza University of Rome, Italy
- affiliation: Facebook, London, UK
- affiliation (former): National Research Council, Italy
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2020 – today
- 2024
[j40]Maria Sofia Bucarelli
, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri:
A topological description of loss surfaces based on Betti Numbers. Neural Networks 178: 106465 (2024)- [j39]Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren, Mohammad Aliannejadi, Negar Arabzadeh, Raman Chandrasekar, Maarten de Rijke, Panagiotis Eustratiadis, William R. Hersh, Jin Huang, Evangelos Kanoulas, Jasmin Kareem, Yongkang Li, Simon Lupart, Kidist Amde Mekonnen, Adam Roegiest, Ian Soboroff, Fabrizio Silvestri, Suzan Verberne, David Vos, Eugene Yang, Yuyue Zhao:
Report on the Search Futures Workshop at ECIR 2024. SIGIR Forum 58(1): 1-41 (2024) - [j38]Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, Jia Wang, He Zhu, Hongshik Ahn:
Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent. IEEE Trans. Artif. Intell. 5(4): 1443-1457 (2024) - [j37]Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei:
Sparse Vicious Attacks on Graph Neural Networks. IEEE Trans. Artif. Intell. 5(5): 2293-2303 (2024) - [j36]Richard Chbeir, Zi Helen Huang, Yannis Manolopoulos, Fabrizio Silvestri:
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). World Wide Web (WWW) 27(4): 45 (2024) - [c130]Andrea Bacciu, Cesare Campagnano, Giovanni Trappolini, Fabrizio Silvestri:
DanteLLM: Let's Push Italian LLM Research Forward! LREC/COLING 2024: 4343-4355 - [c129]Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations. ECIR (2) 2024: 205-220 - [c128]Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri:
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity. IJCNN 2024: 1-9 - [c127]Andrea Bernini, Fabrizio Silvestri, Gabriele Tolomei:
Evading Community Detection via Counterfactual Neighborhood Search. KDD 2024: 131-140 - [c126]Mihajlo Grbovic, Vladan Radosavljevic, Minmin Chen, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Amit Goyal, Fabrizio Silvestri:
TSMO 2024: Two-sided Marketplace Optimization. KDD 2024: 6716-6717 - [c125]Dimitar Dimitrov, Firoj Alam, Maram Hasanain, Abul Hasnat, Fabrizio Silvestri, Preslav Nakov, Giovanni Da San Martino:
SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes. SemEval@NAACL 2024: 2009-2026 - [c124]Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri:
The Power of Noise: Redefining Retrieval for RAG Systems. SIGIR 2024: 719-729 - [c123]Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini:
IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems. SIGIR 2024: 3036-3039 - [c122]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, Mounia Lalmas, Andreas Damianou:
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. WWW (Companion Volume) 2024: 403-412 - [i54]Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri:
A topological description of loss surfaces based on Betti Numbers. CoRR abs/2401.03824 (2024) - [i53]Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri:
The Power of Noise: Redefining Retrieval for RAG Systems. CoRR abs/2401.14887 (2024) - [i52]Andrea Giuseppe Di Francesco, Francesco Caso, Maria Sofia Bucarelli, Fabrizio Silvestri:
Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach. CoRR abs/2402.14802 (2024) - [i51]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, Mounia Lalmas-Roelleke, Andreas Damianou:
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. CoRR abs/2403.05185 (2024) - [i50]Jacopo Lenti, Fabrizio Silvestri, Gianmarco De Francisci Morales:
Variational Inference of Parameters in Opinion Dynamics Models. CoRR abs/2403.05358 (2024) - [i49]Daniel Trippa, Cesare Campagnano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri:
∇ τ: Gradient-based and Task-Agnostic machine Unlearning. CoRR abs/2403.14339 (2024) - [i48]Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei:
Debiasing Machine Unlearning with Counterfactual Examples. CoRR abs/2404.15760 (2024) - [i47]Andrea Bacciu, Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri:
Generating Query Recommendations via LLMs. CoRR abs/2405.19749 (2024) - [i46]Andrea Giuseppe Di Francesco, Christian Giannetti, Nicola Tonellotto, Fabrizio Silvestri:
Graph Neural Re-Ranking via Corpus Graph. CoRR abs/2406.11720 (2024) - [i45]Riccardo Vella, Andrea Vitaletti, Fabrizio Silvestri:
Predicting Award Winning Research Papers at Publication Time. CoRR abs/2406.12535 (2024) - [i44]Florin Cuconasu, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri:
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems. CoRR abs/2406.14972 (2024) - [i43]Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri:
A Reproducible Analysis of Sequential Recommender Systems. CoRR abs/2408.03873 (2024) - 2023
- [j35]Giorgio Barnabò, Giovanni Trappolini, Lorenzo Lastilla, Cesare Campagnano, Angela Fan, Fabio Petroni, Fabrizio Silvestri:
CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN. Discov. Artif. Intell. 3(1) (2023) - [j34]Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri:
Deep active learning for misinformation detection using geometric deep learning. Online Soc. Networks Media 33: 100244 (2023) - [c121]Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini:
RRAML: Reinforced Retrieval Augmented Machine Learning. DP@AI*IA 2023: 29-37 - [c120]Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan:
Graph Learning for Exploratory Query Suggestions in an Instant Search System. CIKM 2023: 4780-4786 - [c119]Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri, Giovanni Trappolini:
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models. CogMI 2023: 128-134 - [c118]Maria Sofia Bucarelli, Lucas Cassano, Federico Siciliano, Amin Mantrach, Fabrizio Silvestri:
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels. CVPR 2023: 3439-3448 - [c117]Valeria Ruscio, Valentino Maiorca, Fabrizio Silvestri:
Attention-likelihood relationship in Transformers. Tiny Papers @ ICLR 2023 - [c116]Andrea Bacciu, Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Fabrizio Silvestri:
Fauno: The Italian Large Language Model that will leave you senza parole! IIR 2023: 9-17 - [c115]Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió:
Sheaf Hypergraph Networks. NeurIPS 2023 - [c114]Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri:
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. RecSys 2023: 1114-1119 - [c113]Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei:
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. SIGIR 2023: 2426-2430 - [c112]Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Y. Halevy, Fabrizio Silvestri:
Multimodal Neural Databases. SIGIR 2023: 2619-2628 - [c111]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò:
Concept Distillation in Graph Neural Networks. xAI (3) 2023: 233-255 - [i42]Valeria Ruscio, Valentino Maiorca, Fabrizio Silvestri:
Attention-likelihood relationship in transformers. CoRR abs/2303.08288 (2023) - [i41]Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri:
Combining Distance to Class Centroids and Outlier Discounting for Improved Learning with Noisy Labels. CoRR abs/2303.09470 (2023) - [i40]Antonio Purificato, Giulia Cassarà, Pietro Liò, Fabrizio Silvestri:
Sheaf Neural Networks for Graph-based Recommender Systems. CoRR abs/2304.09097 (2023) - [i39]Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei:
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. CoRR abs/2305.00574 (2023) - [i38]Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Y. Halevy, Fabrizio Silvestri:
Multimodal Neural Databases. CoRR abs/2305.01447 (2023) - [i37]Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri:
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. CoRR abs/2305.10824 (2023) - [i36]Francesco Caso, Giovanni Trappolini, Andrea Bacciu, Pietro Liò, Fabrizio Silvestri:
Renormalized Graph Neural Networks. CoRR abs/2306.00707 (2023) - [i35]Andrea Bacciu, Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Fabrizio Silvestri:
Fauno: The Italian Large Language Model that will leave you senza parole! CoRR abs/2306.14457 (2023) - [i34]Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini:
RRAML: Reinforced Retrieval Augmented Machine Learning. CoRR abs/2307.12798 (2023) - [i33]Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri:
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. CoRR abs/2307.13165 (2023) - [i32]Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Liò:
Sheaf Hypergraph Networks. CoRR abs/2309.17116 (2023) - [i31]Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri, Giovanni Trappolini:
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models. CoRR abs/2310.04875 (2023) - [i30]Andrea Bernini, Fabrizio Silvestri, Gabriele Tolomei:
Community Membership Hiding as Counterfactual Graph Search via Deep Reinforcement Learning. CoRR abs/2310.08909 (2023) - [i29]Alex J. Chan, José Luis Redondo García, Fabrizio Silvestri, Colm O'Donnel, Konstantina Palla:
Harmonizing Global Voices: Culturally-Aware Models for Enhanced Content Moderation. CoRR abs/2312.02401 (2023) - [i28]Federico Siciliano, Luca Maiano, Lorenzo Papa, Federica Baccini, Irene Amerini, Fabrizio Silvestri:
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It. CoRR abs/2312.15228 (2023) - [i27]Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi:
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1. CoRR abs/2312.17506 (2023) - 2022
- [j33]Alon Y. Halevy, Cristian Canton-Ferrer, Hao Ma, Umut Ozertem, Patrick Pantel, Marzieh Saeidi, Fabrizio Silvestri, Ves Stoyanov:
Preserving integrity in online social networks. Commun. ACM 65(2): 92-98 (2022) - [j32]Gabriele Tolomei, Fabio Pinelli, Fabrizio Silvestri:
Editorial: Human-Interpretable Machine Learning. Frontiers Big Data 5 (2022) - [c110]Ana Lucic, Maartje A. ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri:
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. AISTATS 2022: 4499-4511 - [c109]Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei:
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. CIKM 2022: 252-261 - [c108]Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. COLING 2022: 6625-6643 - [c107]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. IJCAI 2022: 5597-5606 - [c106]Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri:
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection. IJCNN 2022: 1-8 - [c105]Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri:
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. IJCNN 2022: 1-17 - [c104]Artsiom Sauchuk, James Thorne, Alon Y. Halevy, Nicola Tonellotto, Fabrizio Silvestri:
On the Role of Relevance in Natural Language Processing Tasks. SIGIR 2022: 1785-1789 - [e11]Richard Chbeir, Zi Helen Huang, Fabrizio Silvestri, Yannis Manolopoulos, Yanchun Zhang:
Web Information Systems Engineering - WISE 2022 - 23rd International Conference, Biarritz, France, November 1-3, 2022, Proceedings. Lecture Notes in Computer Science 13724, Springer 2022, ISBN 978-3-031-20890-4 [contents] - [i26]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. CoRR abs/2205.04274 (2022) - [i25]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik:
Encoding Concepts in Graph Neural Networks. CoRR abs/2207.13586 (2022) - [i24]Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei:
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations. CoRR abs/2208.04222 (2022) - [i23]Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei:
Sparse Vicious Attacks on Graph Neural Networks. CoRR abs/2209.09688 (2022) - 2021
- [j31]Nicola Tonellotto, Alberto Gotta, Franco Maria Nardini, Daniele Gadler, Fabrizio Silvestri:
Neural network quantization in federated learning at the edge. Inf. Sci. 575: 417-436 (2021) - [j30]James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Levy:
From Natural Language Processing to Neural Databases. Proc. VLDB Endow. 14(6): 1033-1039 (2021) - [j29]Gabriele Tolomei, Fabrizio Silvestri:
Generating Actionable Interpretations from Ensembles of Decision Trees. IEEE Trans. Knowl. Data Eng. 33(4): 1540-1553 (2021) - [c103]James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy:
Database reasoning over text. ACL/IJCNLP (1) 2021: 3091-3104 - [c102]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
Detecting Propaganda Techniques in Memes. ACL/IJCNLP (1) 2021: 6603-6617 - [c101]Federico Errica, Fabrizio Silvestri, Bora Edizel, Ludovic Denoyer, Fabio Petroni, Vassilis Plachouras, Sebastian Riedel:
Concept Matching for Low-Resource Classification. IJCNN 2021: 1-8 - [c100]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. SemEval@ACL/IJCNLP 2021: 70-98 - [i22]Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri:
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. CoRR abs/2102.03322 (2021) - [i21]Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. CoRR abs/2103.12541 (2021) - [i20]Giorgio Barnabò, Giovanni Trappolini, Lorenzo Lastilla, Cesare Campagnano, Angela Fan, Fabio Petroni, Fabrizio Silvestri:
CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN. CoRR abs/2104.00353 (2021) - [i19]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. CoRR abs/2105.09284 (2021) - [i18]James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy:
Database Reasoning Over Text. CoRR abs/2106.01074 (2021) - [i17]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
Detecting Propaganda Techniques in Memes. CoRR abs/2109.08013 (2021) - [i16]Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri:
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. CoRR abs/2110.02775 (2021) - [i15]Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, He Zhu, Jia Wang, Hongshik Ahn:
ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models. CoRR abs/2110.11960 (2021) - 2020
- [c99]Xiao Bai, Berkant Barla Cambazoglu, Francesco Gullo, Amin Mantrach, Fabrizio Silvestri:
Improving News Personalization Through Search Logs. BIAS 2020: 152-166 - [c98]Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel:
How Decoding Strategies Affect the Verifiability of Generated Text. EMNLP (Findings) 2020: 223-235 - [i14]Pushkar Mishra, Aleksandra Piktus, Gerard Goossen, Fabrizio Silvestri:
Node Masking: Making Graph Neural Networks Generalize and Scale Better. CoRR abs/2001.07524 (2020) - [i13]Federico Errica, Ludovic Denoyer, Bora Edizel, Fabio Petroni, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel:
Concept Matching for Low-Resource Classification. CoRR abs/2006.00937 (2020) - [i12]Alon Y. Halevy, Cristian Canton-Ferrer, Hao Ma, Umut Ozertem, Patrick Pantel, Marzieh Saeidi, Fabrizio Silvestri, Ves Stoyanov:
Preserving Integrity in Online Social Networks. CoRR abs/2009.10311 (2020) - [i11]James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy:
Neural Databases. CoRR abs/2010.06973 (2020)
2010 – 2019
- 2019
- [j28]Rémy Cazabet, Andrea Passarella, Giulio Rossetti, Fabrizio Silvestri:
Editorial - Special issue on OSNEM network properties and dynamics. Online Soc. Networks Media 12: 21 (2019) - [c97]Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri:
Misspelling Oblivious Word Embeddings. NAACL-HLT (1) 2019: 3226-3234 - [c96]Amin Mantrach, Fabrizio Silvestri:
Enlisting the Public to Build a Healthier Web Information Commons. WWW 2019: 3490-3492 - [e10]Maristella Agosti, Emanuele Di Buccio, Massimo Melucci, Stefano Mizzaro, Gabriella Pasi, Fabrizio Silvestri:
Proceedings of the 10th Italian Information Retrieval Workshop, Padova, Italy, September 16-18, 2019. CEUR Workshop Proceedings 2441, CEUR-WS.org 2019 [contents] - [e9]Ling Liu, Ryen W. White, Amin Mantrach, Fabrizio Silvestri, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia:
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. ACM 2019, ISBN 978-1-4503-6674-8 [contents] - [i10]Bora Edizel, Aleksandra Piktus, Piotr Bojanowski, Rui Ferreira, Edouard Grave, Fabrizio Silvestri:
Misspelling Oblivious Word Embeddings. CoRR abs/1905.09755 (2019) - [i9]Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel:
How Decoding Strategies Affect the Verifiability of Generated Text. CoRR abs/1911.03587 (2019) - 2018
- [j27]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani:
X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees. ACM Trans. Intell. Syst. Technol. 9(6): 62:1-62:26 (2018) - [c95]Rémy Cazabet, Andrea Passarella, Giulio Rossetti, Fabrizio Silvestri:
OSNED 2018 Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1425-1426 - [r2]Ronny Lempel, Fabrizio Silvestri:
Web Search Result Caching and Prefetching. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j26]Aris Anagnostopoulos, Reem Atassi, Luca Becchetti, Adriano Fazzone, Fabrizio Silvestri:
Tour recommendation for groups. Data Min. Knowl. Discov. 31(5): 1157-1188 (2017) - [j25]Xiao Bai, Berkant Barla Cambazoglu, Francesco Gullo, Amin Mantrach, Fabrizio Silvestri:
Exploiting search history of users for news personalization. Inf. Sci. 385: 125-137 (2017) - [j24]Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri:
Adult content consumption in online social networks. Soc. Netw. Anal. Min. 7(1): 28:1-28:21 (2017) - [c94]Gabriele Tolomei, Fabrizio Silvestri, Andrew Haines, Mounia Lalmas:
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking. KDD 2017: 465-474 - [c93]Marc Bron, Miriam Redi, Mounia Lalmas, Fabrizio Silvestri, Huw Evans, Mahlon Chute:
Friendly, Appealing or Both?: Characterising User Experience in Sponsored Search Landing Pages. WWW (Companion Volume) 2017: 699-707 - 2016
- [j23]Nicola Ferro, 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, Claudia Hauff, Omar Alonso, Pavel Serdyukov, Gianmaria Silvello:
Report on ECIR 2016: 38th European Conference on Information Retrieval. SIGIR Forum 50(1): 12-27 (2016) - [c92]Luca Maria Aiello, Ioannis Arapakis, Ricardo Baeza-Yates, Xiao Bai, Nicola Barbieri, Amin Mantrach, Fabrizio Silvestri:
The Role of Relevance in Sponsored Search. CIKM 2016: 185-194 - [c91]Gaurav Singh, Amin Mantrach, Fabrizio Silvestri:
Improving Profiles of Weakly-Engaged Users - With Applications to Recommender Systems. CLEF 2016: 123-134 - [c90]Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri:
On the Behaviour of Deviant Communities in Online Social Networks. ICWSM 2016: 72-81 - [c89]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani:
Post-Learning Optimization of Tree Ensembles. IIR 2016 - [c88]