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2020 – today
- 2024
[j9]Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang:
Lost in the Middle: How Language Models Use Long Contexts. Trans. Assoc. Comput. Linguistics 12: 157-173 (2024)- [c37]Fabio Petroni
, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini:
IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems. SIGIR 2024: 3036-3039 - 2023
- [j8]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) - [j7]Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave:
Atlas: Few-shot Learning with Retrieval Augmented Language Models. J. Mach. Learn. Res. 24: 251:1-251:43 (2023) - [j6]Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel:
Improving Wikipedia verifiability with AI. Nat. Mac. Intell. 5(10): 1142-1148 (2023) - [c36]Fabio Petroni:
Can Machines Discover New Knowledge? EKG-LLM@CIKM 2023 - [c35]Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni:
Can discrete information extraction prompts generalize across language models? ICLR 2023 - [c34]Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel:
PEER: A Collaborative Language Model. ICLR 2023 - [i34]Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni:
Can discrete information extraction prompts generalize across language models? CoRR abs/2302.09865 (2023) - [i33]Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang:
Lost in the Middle: How Language Models Use Long Contexts. CoRR abs/2307.03172 (2023) - 2022
- [j5]Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni:
Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics 10: 274-290 (2022) - [j4]Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni:
Function Representations for Binary Similarity. IEEE Trans. Dependable Secur. Comput. 19(4): 2259-2273 (2022) - [c33]Daniel Simig, Fabio Petroni, Pouya Yanki, Kashyap Popat, Christina Du, Sebastian Riedel, Majid Yazdani:
Open Vocabulary Extreme Classification Using Generative Models. ACL (Findings) 2022: 1561-1583 - [c32]Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel:
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. ACL (Findings) 2022: 2824-2835 - [c31]Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani:
Learning To Recognize Procedural Activities with Distant Supervision. CVPR 2022: 13843-13853 - [c30]Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda:
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. EMNLP 2022: 8659-8673 - [c29]Patrick S. H. Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel:
Boosted Dense Retriever. NAACL-HLT 2022: 3102-3117 - [c28]Martin Josifoski, Nicola De Cao, Maxime Peyrard, Fabio Petroni, Robert West:
GenIE: Generative Information Extraction. NAACL-HLT 2022: 4626-4643 - [c27]Michele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Scott Yih, Sebastian Riedel, Fabio Petroni:
Autoregressive Search Engines: Generating Substrings as Document Identifiers. NeurIPS 2022 - [e2]Sebastian Riedel, Eunsol Choi, Andreas Vlachos, James Thorne, Marek Rei, Fabio Petroni:
4th Conference on Automated Knowledge Base Construction, AKBC 2022, London, UK, November 3-5, 2022. 2022 [contents] - [i32]Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani:
Learning To Recognize Procedural Activities with Distant Supervision. CoRR abs/2201.10990 (2022) - [i31]Michele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Wen-tau Yih, Sebastian Riedel, Fabio Petroni:
Autoregressive Search Engines: Generating Substrings as Document Identifiers. CoRR abs/2204.10628 (2022) - [i30]Daniel Simig, Fabio Petroni, Pouya Yanki, Kashyap Popat, Christina Du, Sebastian Riedel, Majid Yazdani:
Open Vocabulary Extreme Classification Using Generative Models. CoRR abs/2205.05812 (2022) - [i29]Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda:
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. CoRR abs/2205.12570 (2022) - [i28]Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel:
Improving Wikipedia Verifiability with AI. CoRR abs/2207.06220 (2022) - [i27]Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave:
Few-shot Learning with Retrieval Augmented Language Models. CoRR abs/2208.03299 (2022) - [i26]Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel:
PEER: A Collaborative Language Model. CoRR abs/2208.11663 (2022) - [i25]Christina Du, Kashyap Popat, Louis Martin, Fabio Petroni:
Entity Tagging: Extracting Entities in Text Without Mention Supervision. CoRR abs/2209.06148 (2022) - [i24]Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick S. H. Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni:
EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR abs/2209.13331 (2022) - 2021
- [c26]Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh:
Multi-Task Retrieval for Knowledge-Intensive Tasks. ACL/IJCNLP (1) 2021: 1098-1111 - [c25]Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni:
Autoregressive Entity Retrieval. ICLR 2021 - [c24]Federico Errica, Fabrizio Silvestri, Bora Edizel, Ludovic Denoyer, Fabio Petroni, Vassilis Plachouras, Sebastian Riedel:
Concept Matching for Low-Resource Classification. IJCNN 2021: 1-8 - [c23]Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel:
KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT 2021: 2523-2544 - [c22]Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel:
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. NeurIPS Datasets and Benchmarks 2021 - [i23]Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh:
Multi-task Retrieval for Knowledge-Intensive Tasks. CoRR abs/2101.00117 (2021) - [i22]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i21]Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni:
Multilingual Autoregressive Entity Linking. CoRR abs/2103.12528 (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]Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel:
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. CoRR abs/2106.13353 (2021) - [i18]Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel:
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. CoRR abs/2109.13202 (2021) - [i17]Patrick S. H. Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel:
Boosted Dense Retriever. CoRR abs/2112.07771 (2021) - [i16]Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick S. H. Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel:
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. CoRR abs/2112.09924 (2021) - 2020
- [c21]Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
How Context Affects Language Models' Factual Predictions. AKBC 2020 - [c20]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 - [c19]Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer:
Scalable Zero-shot Entity Linking with Dense Entity Retrieval. EMNLP (1) 2020: 6397-6407 - [c18]Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel:
Generating Fact Checking Briefs. EMNLP (1) 2020: 7147-7161 - [c17]Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS 2020 - [c16]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [e1]Spandana Gella, Johannes Welbl, Marek Rei, Fabio Petroni, Patrick S. H. Lewis, Emma Strubell, Min Joon Seo, Hannaneh Hajishirzi:
Proceedings of the 5th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2020, Online, July 9, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-15-6 [contents] - [i15]Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
How Context Affects Language Models' Factual Predictions. CoRR abs/2005.04611 (2020) - [i14]Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR abs/2005.11401 (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]Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel:
KILT: a Benchmark for Knowledge Intensive Language Tasks. CoRR abs/2009.02252 (2020) - [i11]Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni:
Autoregressive Entity Retrieval. CoRR abs/2010.00904 (2020) - [i10]Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel:
Generating Fact Checking Briefs. CoRR abs/2011.05448 (2020) - [i9]Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave:
A Memory Efficient Baseline for Open Domain Question Answering. CoRR abs/2012.15156 (2020)
2010 – 2019
- 2019
- [c15]Timothy Nugent, Fabio Petroni, Benedict Whittam Smith, Jochen L. Leidner:
An On-Chain Method for Automatic Entitlement Management Using Blockchain Smart Contracts. BIS (Workshops) 2019: 255-266 - [c14]Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Roberto Baldoni, Leonardo Querzoni:
SAFE: Self-Attentive Function Embeddings for Binary Similarity. DIMVA 2019: 309-329 - [c13]Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller:
Language Models as Knowledge Bases? EMNLP/IJCNLP (1) 2019: 2463-2473 - [i8]Fabio Petroni, Tim Rocktäschel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
Language Models as Knowledge Bases? CoRR abs/1909.01066 (2019) - [i7]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) - [i6]Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer:
Zero-shot Entity Linking with Dense Entity Retrieval. CoRR abs/1911.03814 (2019) - 2018
- [j3]Aris Anagnostopoulos, Fabio Petroni, Mara Sorella:
Targeted interest-driven advertising in cities using Twitter. Data Min. Knowl. Discov. 32(3): 737-763 (2018) - [c12]Fabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner:
An Extensible Event Extraction System With Cross-Media Event Resolution. KDD 2018: 626-635 - [c11]Vassilis Plachouras, Fabio Petroni, Timothy Nugent, Jochen L. Leidner:
A Comparison of Two Paraphrase Models for Taxonomy Augmentation. NAACL-HLT (2) 2018: 315-320 - [c10]Fabio Petroni, Vassilis Plachouras, Timothy Nugent, Jochen L. Leidner:
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines. NAACL-HLT 2018: 453-462 - [i5]Roberto Baldoni, Giuseppe Antonio Di Luna, Luca Massarelli, Fabio Petroni, Leonardo Querzoni:
Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks. CoRR abs/1810.09683 (2018) - [i4]Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni:
SAFE: Self-Attentive Function Embeddings for Binary Similarity. CoRR abs/1811.05296 (2018) - 2017
- [j2]Fabio Petroni, Leonardo Querzoni, Roberto Beraldi, Mario Paolucci:
Exploiting user feedback for online filtering in event-based systems. Future Gener. Comput. Syst. 71: 202-211 (2017) - [c9]Timothy Nugent, Fabio Petroni, Natraj Raman, Lucas Carstens, Jochen L. Leidner:
A comparison of classification models for natural disaster and critical event detection from news. IEEE BigData 2017: 3750-3759 - 2016
- [j1]Fabio Petroni, Leonardo Querzoni, Roberto Beraldi, Mario Paolucci:
LCBM: a fast and lightweight collaborative filtering algorithm for binary ratings. J. Syst. Softw. 117: 583-594 (2016) - [c8]Aris Anagnostopoulos, Fabio Petroni, Mara Sorella:
Targeted Interest-Driven Advertising in Cities Using Twitter. ICWSM 2016: 527-530 - [c7]Fabio Petroni, Leonardo Querzoni, Roberto Beraldi, Mario Paolucci:
Exploiting user feedback for online filtering in event-based systems. SAC 2016: 2021-2026 - 2015
- [c6]Fabio Petroni, Leonardo Querzoni, Khuzaima Daudjee, Shahin Kamali, Giorgio Iacoboni:
HDRF: Stream-Based Partitioning for Power-Law Graphs. CIKM 2015: 243-252 - [c5]Fabio Petroni, Luciano Del Corro, Rainer Gemulla:
CORE: Context-Aware Open Relation Extraction with Factorization Machines. EMNLP 2015: 1763-1773 - [c4]Alessandro Bessi, Fabio Petroni, Michela Del Vicario, Fabiana Zollo, Aris Anagnostopoulos, Antonio Scala, Guido Caldarelli, Walter Quattrociocchi:
Viral Misinformation: The Role of Homophily and Polarization. WWW (Companion Volume) 2015: 355-356 - [i3]Alessandro Bessi, Fabiana Zollo, Michela Del Vicario, Antonio Scala, Guido Caldarelli, Fabio Petroni, Bruno Gonçalves, Walter Quattrociocchi:
Everyday the Same Picture: Popularity and Content Diversity. CoRR abs/1501.07201 (2015) - [i2]Michela Del Vicario, Alessandro Bessi, Fabiana Zollo, Fabio Petroni, Antonio Scala, Guido Caldarelli, Harry Eugene Stanley, Walter Quattrociocchi:
Echo chambers in the age of misinformation. CoRR abs/1509.00189 (2015) - 2014
- [c3]Fabio Petroni, Leonardo Querzoni, Roberto Beraldi, Mario Paolucci:
LCBM: Statistics-Based Parallel Collaborative Filtering. BIS 2014: 172-184 - [c2]Fabio Petroni, Leonardo Querzoni:
GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning. RecSys 2014: 241-248 - [i1]Aris Anagnostopoulos, Alessandro Bessi, Guido Caldarelli, Michela Del Vicario, Fabio Petroni, Antonio Scala, Fabiana Zollo, Walter Quattrociocchi:
Viral Misinformation: The Role of Homophily and Polarization. CoRR abs/1411.2893 (2014) - 2012
- [c1]Fabio Petroni, Leonardo Querzoni:
HSIENA: A Hybrid Publish/Subscribe System. SAFECOMP Workshops 2012: 282-293
Coauthor Index
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