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2020 – today
- 2024
[c148]Yanhao Wang, Yuchen Li, Francesco Bonchi, Ying Wang:
Balancing Utility and Fairness in Submodular Maximization. EDBT 2024: 1-14- 2023
- [c147]Flavio Petruzzellis, Francesco Bonchi, Gianmarco De Francisci Morales, Corrado Monti:
On the Relation between Opinion Change and Information Consumption on Reddit. ICWSM 2023: 710-719 - [c146]Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract). IJCAI 2023: 6431-6435 - [c145]Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson:
Explaining Identity-aware Graph Classifiers through the Language of Motifs. IJCNN 2023: 1-8 - [e24]Danai Koutra
, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14169, Springer 2023, ISBN 978-3-031-43411-2 [contents] - [e23]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14170, Springer 2023, ISBN 978-3-031-43414-3 [contents] - [e22]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14171, Springer 2023, ISBN 978-3-031-43417-4 [contents] - [e21]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14172, Springer 2023, ISBN 978-3-031-43420-4 [contents] - [e20]Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14173, Springer 2023, ISBN 978-3-031-43423-5 [contents] - [e19]Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14174, Springer 2023, ISBN 978-3-031-43426-6 [contents] - [e18]Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14175, Springer 2023, ISBN 978-3-031-43429-7 [contents] - [i59]Tommaso Lanciano, Atsushi Miyauchi, Adriano Fazzone, Francesco Bonchi:
A Survey on the Densest Subgraph Problem and its Variants. CoRR abs/2303.14467 (2023) - [i58]Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
Hyper-distance Oracles in Hypergraphs. CoRR abs/2306.02696 (2023) - [i57]Francesco Bonchi, Claudio Gentile, André Panisson, Fabio Vitale:
Fast and Effective GNN Training with Linearized Random Spanning Trees. CoRR abs/2306.04828 (2023) - [i56]Carlo Abrate, Giulia Preti, Francesco Bonchi:
Counterfactual Explanations for Graph Classification Through the Lenses of Density. CoRR abs/2307.14849 (2023) - [i55]Federico Cinus, Aristides Gionis, Francesco Bonchi:
Rebalancing Social Feed to Minimize Polarization and Disagreement. CoRR abs/2308.14486 (2023) - [i54]Joao Fonseca, Andrew Bell, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich:
Setting the Right Expectations: Algorithmic Recourse Over Time. CoRR abs/2309.06969 (2023) - 2022
- [j71]Meike Zehlike, Tom Sühr, Ricardo Baeza-Yates, Francesco Bonchi, Carlos Castillo, Sara Hajian:
Fair Top-k Ranking with multiple protected groups. Inf. Process. Manag. 59(1): 102707 (2022) - [j70]Adriano Fazzone, Tommaso Lanciano, Riccardo Denni, Charalampos E. Tsourakakis, Francesco Bonchi:
Discovering Polarization Niches via Dense Subgraphs with Attractors and Repulsers. Proc. VLDB Endow. 15(13): 3883-3896 (2022) - [j69]Xiangyu Ke, Arijit Khan, Francesco Bonchi:
Multi-relation Graph Summarization. ACM Trans. Knowl. Discov. Data 16(5): 82:1-82:30 (2022) - [c144]Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco:
Cascade-based Echo Chamber Detection. CIKM 2022: 1511-1520 - [c143]Federico Cinus, Marco Minici, Corrado Monti, Francesco Bonchi:
The Effect of People Recommenders on Echo Chambers and Polarization. ICWSM 2022: 90-101 - [c142]Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo:
Exposure Inequality in People Recommender Systems: The Long-Term Effects. ICWSM 2022: 194-204 - [c141]Tianyi Chen, Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis:
Dense and well-connected subgraph detection in dual networks. SDM 2022: 361-369 - [c140]Sara De Candia, Gianmarco De Francisci Morales, Corrado Monti, Francesco Bonchi:
Social Norms on Reddit: A Demographic Analysis✱. WebSci 2022: 139-147 - [c139]Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
FreSCo: Mining Frequent Patterns in Simplicial Complexes. WWW 2022: 1444-1454 - [c138]Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. WWW 2022: 2719-2728 - [i53]Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
FreSCo: Mining Frequent Patterns in Simplicial Complexes. CoRR abs/2201.08005 (2022) - [i52]Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. CoRR abs/2202.00640 (2022) - [i51]Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson:
GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers. CoRR abs/2202.08815 (2022) - [i50]Corrado Monti, Marco Pangallo, Gianmarco De Francisci Morales, Francesco Bonchi:
On learning agent-based models from data. CoRR abs/2205.05052 (2022) - [i49]Flavio Petruzzellis, Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
On the Relation Between Opinion Change and Information Consumption on Reddit. CoRR abs/2207.12196 (2022) - [i48]Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco:
Cascade-based Echo Chamber Detection. CoRR abs/2208.04620 (2022) - [i47]Gabriele D'Acunto, Gianmarco De Francisci Morales, Paolo Bajardi, Francesco Bonchi:
Multiscale Non-stationary Causal Structure Learning from Time Series Data. CoRR abs/2208.14989 (2022) - [i46]Corrado Monti, Luca Maria Aiello, Gianmarco De Francisci Morales, Francesco Bonchi:
The language of opinion change on social media under the lens of communicative action. CoRR abs/2210.17234 (2022) - [i45]Yanhao Wang, Yuchen Li, Francesco Bonchi, Ying Wang:
Balancing Utility and Fairness in Submodular Maximization (Technical Report). CoRR abs/2211.00980 (2022) - 2021
- [j68]Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis:
Finding densest k-connected subgraphs. Discret. Appl. Math. 305: 34-47 (2021) - [j67]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23(S1): 1-6 (2021) - [j66]Arkaprava Saha, Ruben Brokkelkamp, Yllka Velaj, Arijit Khan, Francesco Bonchi:
Shortest Paths and Centrality in Uncertain Networks. Proc. VLDB Endow. 14(7): 1188-1201 (2021) - [j65]Edoardo Galimberti, Martino Ciaperoni, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Span-core Decomposition for Temporal Networks: Algorithms and Applications. ACM Trans. Knowl. Discov. Data 15(1): 2:1-2:44 (2021) - [c137]David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi:
Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. AIES 2021: 978-988 - [c136]Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi:
Learning Ideological Embeddings from Information Cascades. CIKM 2021: 1325-1334 - [c135]Gabriele D'Acunto, Paolo Bajardi, Francesco Bonchi, Gianmarco De Francisci Morales:
The evolving causal structure of equity risk factors. ICAIF 2021: 5:1-5:8 - [c134]David García-Soriano, Francesco Bonchi:
Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints. KDD 2021: 436-446 - [c133]Carlo Abrate, Francesco Bonchi:
Counterfactual Graphs for Explainable Classification of Brain Networks. KDD 2021: 2495-2504 - [c132]Federico Cinus, Francesco Bonchi, Corrado Monti, André Panisson:
WoMG: A Library for Word-of-Mouth Cascades Generation. WSDM 2021: 1065-1068 - [c131]Zitan Sun, Xin Huang, Jianliang Xu, Francesco Bonchi:
Efficient Probabilistic Truss Indexing on Uncertain Graphs. WWW 2021: 354-366 - [c130]Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
STruD: Truss Decomposition of Simplicial Complexes. WWW 2021: 3408-3418 - [e17]Lluís Garcia Pueyo, Anand Bhaskar, Prathyusha Senthil Kumar, Panayiotis Tsaparas, Kiran Garimella, Yu Sun, Francesco Bonchi:
Proceedings of the Workshop on Misinformation Integrity in Social Networks 2021 co-located with 30th The Web Conference (TheWebConf 2021), Ljubljana, Slovenia, April 15, 2021. CEUR Workshop Proceedings 2890, CEUR-WS.org 2021 [contents] - [i44]Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
STruD: Truss Decomposition of Simplicial Complexes. CoRR abs/2102.07564 (2021) - [i43]Carlo Abrate, Francesco Bonchi:
Counterfactual Graphs for Explainable Classification of Brain Networks. CoRR abs/2106.08640 (2021) - [i42]David García-Soriano, Francesco Bonchi:
Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints. CoRR abs/2106.08652 (2021) - [i41]Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi:
Learning Ideological Embeddings from Information Cascades. CoRR abs/2109.13589 (2021) - [i40]Gabriele D'Acunto, Paolo Bajardi, Francesco Bonchi, Gianmarco De Francisci Morales:
The Evolving Causal Structure of Equity Risk Factors. CoRR abs/2111.05072 (2021) - [i39]Federico Cinus, Marco Minici, Corrado Monti, Francesco Bonchi:
The Effect of People Recommenders on Echo Chambers and Polarization. CoRR abs/2112.00626 (2021) - [i38]Tianyi Chen, Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis:
Dense and well-connected subgraph detection in dual networks. CoRR abs/2112.03337 (2021) - [i37]Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo:
Exposure Inequality in People Recommender Systems: The Long-Term Effects. CoRR abs/2112.08237 (2021) - [i36]Xiangyu Ke, Arijit Khan, Francesco Bonchi:
Multi-relation Graph Summarization. CoRR abs/2112.15488 (2021) - 2020
- [j64]David García-Soriano, Francesco Bonchi:
Fair-by-design matching. Data Min. Knowl. Discov. 34(5): 1291-1335 (2020) - [j63]Bora Edizel, Francesco Bonchi, Sara Hajian, André Panisson, Tamir Tassa:
FaiRecSys: mitigating algorithmic bias in recommender systems. Int. J. Data Sci. Anal. 9(2): 197-213 (2020) - [j62]Ioanna Tsalouchidou, Ricardo Baeza-Yates, Francesco Bonchi, Kewen Liao, Timos Sellis:
Temporal betweenness centrality in dynamic graphs. Int. J. Data Sci. Anal. 9(3): 257-272 (2020) - [j61]Francesco Bonchi, Sara Hajian, Bud Mishra, Daniele Ramazzotti:
Correction to: Exposing the probabilistic causal structure of discrimination. Int. J. Data Sci. Anal. 9(3): 373 (2020) - [j60]Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti:
Finding events in temporal networks: segmentation meets densest subgraph discovery. Knowl. Inf. Syst. 62(4): 1611-1639 (2020) - [j59]Tom Rolandus Hagedoorn, Rohit Kumar, Francesco Bonchi:
X2R2: a Tool for Explainable and Explorative Reidentification Risk Analysis. Proc. VLDB Endow. 13(12): 2929-2932 (2020) - [j58]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 13(1): 61-66 (2020) - [j57]Edoardo Galimberti, Francesco Bonchi, Francesco Gullo, Tommaso Lanciano:
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications. ACM Trans. Knowl. Discov. Data 14(1): 11:1-11:40 (2020) - [j56]Ioanna Tsalouchidou, Francesco Bonchi, Gianmarco De Francisci Morales, Ricardo Baeza-Yates:
Scalable Dynamic Graph Summarization. IEEE Trans. Knowl. Data Eng. 32(2): 360-373 (2020) - [c129]Ioanna Tsalouchidou, Francesco Bonchi, Ricardo Baeza-Yates:
Adaptive Community Search in Dynamic Networks. IEEE BigData 2020: 987-995 - [c128]Federico Cinus, Francesco Bonchi, Corrado Monti, André Panisson:
Generating Realistic Interest-Driven Information Cascades. ICWSM 2020: 107-118 - [c127]Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo:
The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems. ICWSM 2020: 165-175 - [c126]Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
Learning Opinion Dynamics From Social Traces. KDD 2020: 764-773 - [c125]Tommaso Lanciano, Francesco Bonchi, Aristides Gionis:
Explainable Classification of Brain Networks via Contrast Subgraphs. KDD 2020: 3308-3318 - [c124]Francesco Bonchi, Lorenzo Severini, Mauro Sozio:
Better Fewer but Better: Community Search with Outliers. WI/IAT 2020: 105-112 - [c123]Joan Massachs, Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
Roots of Trumpism: Homophily and Social Feedbackin Donald Trump Support on Reddit. WebSci 2020: 49-58 - [c122]Antonio Caliò, Andrea Tagarelli, Francesco Bonchi:
Cores matter? An analysis of graph decomposition effects on influence maximization problems. WebSci 2020: 184-193 - [c121]David García-Soriano, Konstantin Kutzkov, Francesco Bonchi, Charalampos E. Tsourakakis:
Query-Efficient Correlation Clustering. WWW 2020: 1468-1478 - [e16]M. Arif Wani, Feng Luo, Xiaolin Andy Li, Dejing Dou, Francesco Bonchi:
19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020. IEEE 2020, ISBN 978-1-7281-8470-8 [contents] - [i35]David García-Soriano, Konstantin Kutzkov, Francesco Bonchi, Charalampos E. Tsourakakis:
Query-Efficient Correlation Clustering. CoRR abs/2002.11557 (2020) - [i34]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR abs/2004.05222 (2020) - [i33]Joan Massachs, Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit. CoRR abs/2005.01790 (2020) - [i32]Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
Learning Opinion Dynamics From Social Traces. CoRR abs/2006.01673 (2020) - [i31]Tommaso Lanciano, Francesco Bonchi, Aristides Gionis:
Explainable Classification of Brain Networks via Contrast Subgraphs. CoRR abs/2006.05176 (2020) - [i30]Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis:
Finding Densest k-Connected Subgraphs. CoRR abs/2007.01533 (2020) - [i29]Ioanna Tsalouchidou, Francesco Bonchi, Ricardo Baeza-Yates:
Adaptive Community Search in Dynamic Networks. CoRR abs/2011.05353 (2020) - [i28]Francesco Bonchi, Lorenzo Severini, Mauro Sozio:
Better Fewer but Better: Community Search with Outliers. CoRR abs/2012.00356 (2020)
2010 – 2019
- 2019
- [j55]Francesco Bonchi, Ilaria Bordino, Francesco Gullo, Giovanni Stilo:
The importance of unexpectedness: Discovering buzzing stories in anomalous temporal graphs. Web Intell. 17(3): 177-198 (2019) - [c120]Francesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo:
Discovering Polarized Communities in Signed Networks. CIKM 2019: 961-970 - [c119]Edoardo Galimberti, Chiara Madeddu, Francesco Bonchi, Giancarlo Ruffo:
Visualizing Structural Balance in Signed Networks. COMPLEX NETWORKS (2) 2019: 53-65 - [c118]Panos Parchas, Nikolaos Papailiou, Dimitris Papadias, Francesco Bonchi:
Uncertain Graph Sparsification (Extended Abstract). ICDE 2019: 2141-2142 - [c117]H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich:
The Responsibility Challenge for Data. SIGMOD Conference 2019: 412-414 - [c116]Francesco Bonchi, Arijit Khan, Lorenzo Severini:
Distance-generalized Core Decomposition. SIGMOD Conference 2019: 1006-1023 - [c115]Francesco Bonchi:
Distance-Based Community Search (Invited Talk Extended Abstract). SOFSEM 2019: 21-27 - [e15]Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos:
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, Italy, October 22, 2018. CEUR Workshop Proceedings 2482, CEUR-WS.org 2019 [contents] - [e14]Lisa Singh, Richard D. De Veaux, George Karypis, Francesco Bonchi, Jennifer Hill:
2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019, Washington, DC, USA, October 5-8, 2019. IEEE 2019, ISBN 978-1-7281-4493-1 [contents] - [e13]Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11051, Springer 2019, ISBN 978-3-030-10924-0 [contents] - [e12]Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11052, Springer 2019, ISBN 978-3-030-10927-1 [contents] - [i27]Francesco Bonchi, Arijit Khan, Lorenzo Severini:
Distance-generalized Core Decomposition. CoRR abs/1904.07262 (2019) - [i26]Francesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo:
Discovering Polarized Communities in Signed Networks. CoRR abs/1910.02438 (2019) - [i25]Edoardo Galimberti, Martino Ciaperoni, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Span-core Decomposition for Temporal Networks: Algorithms and Applications. CoRR abs/1910.03645 (2019) - [i24]Edoardo Galimberti, Chiara Madeddu, Francesco Bonchi, Giancarlo Ruffo:
Visualizing structural balance in signed networks. CoRR abs/1912.00238 (2019) - 2018
- [j54]Francesco Bonchi, Peter Dolog, Denis Helic, Peter Vojtás:
Invited papers from the ACM conference on hypertext and social media. New Rev. Hypermedia Multim. 24(2): 61-62 (2018) - [j53]Arijit Khan, Francesco Bonchi, Francesco Gullo, Andreas Nufer:
Conditional Reliability in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 30(11): 2078-2092 (2018) - [j52]Panos Parchas, Nikolaos Papailiou, Dimitris Papadias, Francesco Bonchi:
Uncertain Graph Sparsification. IEEE Trans. Knowl. Data Eng. 30(12): 2435-2449 (2018) - [c114]Edoardo Galimberti, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Mining (maximal) Span-cores from Temporal Networks. CIKM 2018: 107-116 - [c113]Francesco Bonchi, Francesco Gullo, Bud Mishra, Daniele Ramazzotti:
Probabilistic Causal Analysis of Social Influence. CIKM 2018: 1003-1012 - [c112]Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos:
CIKM 2018 Co-Located Workshops Summary. CIKM 2018: 2309-2311 - [c111]Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos:
CIKM 2018 Workshops: Preface. CIKM Workshops 2018 - [c110]Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti:
Finding Events in Temporal Networks: Segmentation Meets Densest-Subgraph Discovery. ICDM 2018: 397-406 - [c109]Danai Koutra, Jilles Vreeken, Francesco Bonchi:
Summarizing Graphs at Multiple Scales: New Trends. ICDM 2018: 1097 - [e11]Francesco Bonchi, Foster J. Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Rayid Ghani:
5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018. IEEE 2018, ISBN 978-1-5386-5090-5 [contents] - [r2]Francesco Bonchi, Francesco Gullo, Andreas Kaltenbrunner:
Core Decomposition of Massive, Information-Rich Graphs. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i23]David García-Soriano, Francesco Bonchi:
Fair-by-design algorithms: matching problems and beyond. CoRR abs/1802.02562 (2018) - [i22]Francesco Bonchi, Francesco Gullo, Bud Mishra, Daniele Ramazzotti:
Probabilistic Causal Analysis of Social Influence. CoRR abs/1808.02129 (2018) - [i21]Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti:
Finding events in temporal networks: Segmentation meets densest-subgraph discovery. CoRR abs/1808.09317 (2018) - [i20]Edoardo Galimberti, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Mining (maximal) span-cores from temporal networks. CoRR abs/1808.09376 (2018) - [i19]Edoardo Galimberti, Francesco Bonchi, Francesco Gullo, Tommaso Lanciano:
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications. CoRR abs/1812.08712 (2018) - 2017
- [j51]Matteo Riondato, David García-Soriano, Francesco Bonchi:
Graph summarization with quality guarantees. Data Min. Knowl. Discov. 31(2): 314-349 (2017) - [j50]Francesco Bonchi, Sara Hajian, Bud Mishra, Daniele Ramazzotti:
Exposing the probabilistic causal structure of discrimination. Int. J. Data Sci. Anal. 3(1): 1-21 (2017) - [j49]Çigdem Aslay, Francesco Bonchi, Laks V. S. Lakshmanan, Wei Lu:
Revenue Maximization in Incentivized Social Advertising. Proc. VLDB Endow. 10(11): 1238-1249 (2017) - [j48]