| Interpretability of deep learning models: A survey of results S Chakraborty, R Tomsett, R Raghavendra, D Harborne, M Alzantot, ... 2017 IEEE smartworld, ubiquitous intelligence & computing, advanced …, 2017 | 293 | 2017 |
| AFRA: Argumentation framework with recursive attacks P Baroni, F Cerutti, M Giacomin, G Guida International Journal of Approximate Reasoning 52 (1), 19-37, 2011 | 174 | 2011 |
| On the input/output behavior of argumentation frameworks P Baroni, G Boella, F Cerutti, M Giacomin, L Van Der Torre, S Villata Artificial Intelligence 217, 144-197, 2014 | 78 | 2014 |
| Computing preferred extensions in abstract argumentation: A SAT-based approach F Cerutti, PE Dunne, M Giacomin, M Vallati International Workshop on Theorie and Applications of Formal Argumentation …, 2013 | 72 | 2013 |
| Summary report of the first international competition on computational models of argumentation M Thimm, S Villata, F Cerutti, N Oren, H Strass, M Vallati AI magazine 37 (1), 102-102, 2016 | 65 | 2016 |
| Formal Arguments, Preferences, and Natural Language Interfaces to Humans: an Empirical Evaluation. F Cerutti, N Tintarev, N Oren ECAI, 207-212, 2014 | 64 | 2014 |
| Encompassing attacks to attacks in abstract argumentation frameworks P Baroni, F Cerutti, M Giacomin, G Guida European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2009 | 62 | 2009 |
| Foundations of implementations for formal argumentation F Cerutti, SA Gaggl, M Thimm, J Wallner IfCoLog Journal of Logics and their Applications 4 (8), 2623-2705, 2017 | 60 | 2017 |
| Supporting reasoning with different types of evidence in intelligence analysis A Toniolo, T Norman, A Etuk, F Cerutti, RW Ouyang, M Srivastava, N Oren, ... International Foundation for Autonomous Agents and Multiagent Systems 2, 781-789, 2015 | 60 | 2015 |
| Rapid trust calibration through interpretable and uncertainty-aware AI R Tomsett, A Preece, D Braines, F Cerutti, S Chakraborty, M Srivastava, ... Patterns 1 (4), 100049, 2020 | 51 | 2020 |
| ArgSemSAT: Solving Argumentation Problems Using SAT. F Cerutti, M Giacomin, M Vallati COMMA 14, 455-456, 2014 | 48 | 2014 |
| An SCC recursive meta-algorithm for computing preferred labellings in abstract argumentation F Cerutti, M Giacomin, M Vallati, M Zanella Fourteenth International Conference on the Principles of Knowledge …, 2014 | 43 | 2014 |
| Automata for infinite argumentation structures P Baroni, F Cerutti, PE Dunne, M Giacomin Artificial Intelligence 203, 104-150, 2013 | 35 | 2013 |
| Uncertainty-aware deep classifiers using generative models M Sensoy, L Kaplan, F Cerutti, M Saleki Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5620-5627, 2020 | 29 | 2020 |
| A Benchmark Framework for a Computational Argumentation Competition. F Cerutti, N Oren, H Strass, M Thimm, M Vallati COMMA, 459-460, 2014 | 29 | 2014 |
| Generating Structured Argumentation Frameworks: AFBenchGen2. F Cerutti, M Giacomin, M Vallati COMMA, 467-468, 2016 | 21 | 2016 |
| Subjective logic operators in trust assessment: an empirical study F Cerutti, LM Kaplan, TJ Norman, N Oren, A Toniolo Information Systems Frontiers 17 (4), 743-762, 2015 | 20 | 2015 |
| Making informed decisions with provenance and argumentation schemes A Toniolo, F Cerutti, N Oren, TJ Norman, K Sycara Proceedings of the Eleventh International Workshop on Argumentation in Multi …, 2014 | 20 | 2014 |
| Where Are We Now? State of the Art and Future Trends of Solvers for Hard Argumentation Problems. F Cerutti, M Vallati, M Giacomin COMMA, 207-218, 2016 | 19 | 2016 |
| How we designed winning algorithms for abstract argumentation and which insight we attained F Cerutti, M Giacomin, M Vallati Artificial Intelligence 276, 1-40, 2019 | 18 | 2019 |
Massimiliano GiacominFull Professor, University of Bresciaunibs.it의 이메일 확인됨
