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2020 – today
- 2023
[j46]Giovanni De Toni
, Bruno Lepri, Andrea Passerini:
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis. Mach. Learn. 112(4): 1389-1409 (2023)- [c69]Gianluca Apriceno, Luca Erculiani, Andrea Passerini:
A Neuro-Symbolic Approach for Non-Intrusive Load Monitoring. ECAI 2023: 3175-3181 - [c68]Marco Bronzini, Erich Robbi, Paolo Viappiani, Andrea Passerini:
Environmentally-Aware Bundle Recommendation Using the Choquet Integral. ECAI 2023: 3182-3189 - [c67]Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati:
Value-Aware Active Learning. HHAI 2023: 215-223 - [c66]Luca Erculiani, Andrea Bontempelli, Andrea Passerini, Fausto Giunchiglia:
Egocentric Hierarchical Visual Semantics. HHAI 2023: 320-329 - [c65]Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati:
Value-Based Hybrid Intelligence. HHAI 2023: 366-370 - [c64]Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini:
Global Explainability of GNNs via Logic Combination of Learned Concepts. ICLR 2023 - [c63]Andrea Bontempelli, Stefano Teso, Katya Tentori, Fausto Giunchiglia, Andrea Passerini:
Concept-level Debugging of Part-Prototype Networks. ICLR 2023 - [c62]Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso:
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. ICML 2023: 23915-23936 - [c61]Emanuele Marconato, Stefano Teso, Andrea Passerini:
Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations. NeSy 2023: 162-166 - [c60]Emanuele Marconato, Andrea Passerini, Stefano Teso:
GlanceNets: Interpretable, Leak-proof Concept-based Models. NeSy 2023: 410 - [p4]Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck:
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. Compendium of Neurosymbolic Artificial Intelligence 2023: 485-505 - [i46]Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini:
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR abs/2302.01018 (2023) - [i45]Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso:
Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. CoRR abs/2302.01242 (2023) - [i44]Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
Enhancing SMT-based Weighted Model Integration by Structure Awareness. CoRR abs/2302.06188 (2023) - [i43]Emanuele Marconato, Stefano Teso, Andrea Passerini:
Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations. CoRR abs/2303.12578 (2023) - [i42]Samy Badreddine, Gianluca Apriceno, Andrea Passerini, Luciano Serafini:
Interval Logic Tensor Networks. CoRR abs/2303.17892 (2023) - [i41]Luca Erculiani, Andrea Bontempelli, Andrea Passerini, Fausto Giunchiglia:
Egocentric Hierarchical Visual Semantics. CoRR abs/2305.05422 (2023) - [i40]Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini:
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts. CoRR abs/2305.19951 (2023) - [i39]Nicolò A. Girardini, Simone Centellegher, Andrea Passerini, Ivano Bison, Fausto Giunchiglia, Bruno Lepri:
Adaptation of Student Behavioural Routines during COVID-19: A Multimodal Approach. CoRR abs/2306.08561 (2023) - [i38]Debodeep Banerjee, Stefano Teso, Andrea Passerini:
Learning to Guide Human Experts via Personalized Large Language Models. CoRR abs/2308.06039 (2023) - [i37]Emanuele Marconato, Andrea Passerini, Stefano Teso:
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning. CoRR abs/2309.07742 (2023) - [i36]Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger:
Meta-Path Learning for Multi-relational Graph Neural Networks. CoRR abs/2309.17113 (2023) - [i35]Marco Bronzini, Carlo Nicolini, Bruno Lepri, Andrea Passerini, Jacopo Staiano:
Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models. CoRR abs/2310.05628 (2023) - 2022
- [j45]Wanyi Zhang, Mattia Zeni, Andrea Passerini, Fausto Giunchiglia:
Skeptical Learning - An Algorithm and a Platform for Dealing with Mislabeling in Personal Context Recognition. Algorithms 15(4): 109 (2022) - [j44]Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini:
An efficient procedure for mining egocentric temporal motifs. Data Min. Knowl. Discov. 36(1): 355-378 (2022) - [j43]Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso:
Human-in-the-loop handling of knowledge drift. Data Min. Knowl. Discov. 36(5): 1865-1884 (2022) - [c59]Emanuele Marconato, Gianpaolo Bontempo, Stefano Teso, Elisa Ficarra, Simone Calderara, Andrea Passerini:
Catastrophic Forgetting in Continual Concept Bottleneck Models. ICIAP Workshops 2022: 539-547 - [c58]Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini:
Generalising via Meta-examples for Continual Learning in the Wild. LOD (1) 2022: 414-429 - [c57]Emanuele Marconato, Andrea Passerini, Stefano Teso:
GlanceNets: Interpretable, Leak-proof Concept-based Models. NeurIPS 2022 - [c56]Gianluca Apriceno, Andrea Passerini, Luciano Serafini:
A Neuro-Symbolic Approach for Real-World Event Recognition from Weak Supervision. TIME 2022: 12:1-12:19 - [c55]Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
SMT-based weighted model integration with structure awareness. UAI 2022: 1876-1885 - [e3]Andrea Passerini, Thomas Schiex:
PAIS 2022 - 11th Conference on Prestigious Applications of Artificial Intelligence, 25 July 2022, Vienna, Austria (co-located with IJCAI-ECAI 2022). Frontiers in Artificial Intelligence and Applications 351, IOS Press 2022, ISBN 978-1-64368-294-5 [contents] - [i34]Giovanni De Toni, Bruno Lepri, Andrea Passerini:
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis. CoRR abs/2201.07135 (2022) - [i33]Antonio Longa, Giulia Cencetti, Sune Lehmann, Andrea Passerini, Bruno Lepri:
Neighbourhood matching creates realistic surrogate temporal networks. CoRR abs/2205.08820 (2022) - [i32]Andrea Bontempelli, Marcelo Rodas Britez, Xiaoyue Li, Haonan Zhao, Luca Erculiani, Stefano Teso, Andrea Passerini, Fausto Giunchiglia:
Lifelong Personal Context Recognition. CoRR abs/2205.10123 (2022) - [i31]Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini:
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens. CoRR abs/2205.10157 (2022) - [i30]Giovanni De Toni, Paolo Viappiani, Bruno Lepri, Andrea Passerini:
Generating personalized counterfactual interventions for algorithmic recourse by eliciting user preferences. CoRR abs/2205.13743 (2022) - [i29]Emanuele Marconato, Andrea Passerini, Stefano Teso:
GlanceNets: Interpretabile, Leak-proof Concept-based Models. CoRR abs/2205.15612 (2022) - [i28]Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini:
Concept-level Debugging of Part-Prototype Networks. CoRR abs/2205.15769 (2022) - [i27]Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
SMT-based Weighted Model Integration with Structure Awareness. CoRR abs/2206.13856 (2022) - [i26]Burcu Sayin, Fabio Casati, Andrea Passerini, Jie Yang, Xinyue Chen:
Rethinking and Recomputing the Value of ML Models. CoRR abs/2209.15157 (2022) - [i25]Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini:
Global Explainability of GNNs via Logic Combination of Learned Concepts. CoRR abs/2210.07147 (2022) - [i24]Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Liò, Bruno Lepri, Andrea Passerini:
Explaining the Explainers in Graph Neural Networks: a Comparative Study. CoRR abs/2210.15304 (2022) - 2021
- [j42]Paolo Campigotto, Stefano Teso, Roberto Battiti, Andrea Passerini:
Learning Modulo Theories for constructive preference elicitation. Artif. Intell. 295: 103454 (2021) - [j41]Burcu Sayin, Evgeny Krivosheev, Jie Yang, Andrea Passerini, Fabio Casati:
A review and experimental analysis of active learning over crowdsourced data. Artif. Intell. Rev. 54(7): 5283-5305 (2021) - [j40]Wanyi Zhang, Qiang Shen, Stefano Teso, Bruno Lepri, Andrea Passerini, Ivano Bison, Fausto Giunchiglia:
Putting human behavior predictability in context. EPJ Data Sci. 10(1): 42 (2021) - [j39]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) - [j38]Fausto Giunchiglia, Luca Erculiani, Andrea Passerini:
Towards Visual Semantics. SN Comput. Sci. 2(6): 446 (2021) - [c54]Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger:
Learning Aggregation Functions. IJCAI 2021: 2892-2898 - [c53]Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, Andrea Passerini:
Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey. IJCAI 2021: 4533-4542 - [c52]Paolo Morettin, Andrea Passerini, Stefano Teso:
Co-creating Platformer Levels with Constrained Adversarial Networks. IUI Workshops 2021 - [c51]Paolo Dragone, Stefano Teso, Andrea Passerini:
Neuro-Symbolic Constraint Programming for Structured Prediction. NeSy 2021: 6-14 - [c50]Stefano Teso, Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini:
Interactive Label Cleaning with Example-based Explanations. NeurIPS 2021: 12966-12977 - [c49]Gianluca Apriceno, Andrea Passerini, Luciano Serafini:
A Neuro-Symbolic Approach to Structured Event Recognition. TIME 2021: 11:1-11:14 - [i23]Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini:
Generalising via Meta-Examples for Continual Learning in the Wild. CoRR abs/2101.12081 (2021) - [i22]Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso:
Human-in-the-loop Handling of Knowledge Drift. CoRR abs/2103.14874 (2021) - [i21]Paolo Dragone, Stefano Teso, Andrea Passerini:
Neuro-Symbolic Constraint Programming for Structured Prediction. CoRR abs/2103.17232 (2021) - [i20]Fausto Giunchiglia, Luca Erculiani, Andrea Passerini:
Towards Visual Semantics. CoRR abs/2104.12379 (2021) - [i19]Stefano Teso, Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini:
Interactive Label Cleaning with Example-based Explanations. CoRR abs/2106.03922 (2021) - [i18]Giovanni De Toni, Luca Erculiani, Andrea Passerini:
Learning compositional programs with arguments and sampling. CoRR abs/2109.00619 (2021) - [i17]Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso:
Toward a Unified Framework for Debugging Gray-box Models. CoRR abs/2109.11160 (2021) - [i16]Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini:
An Efficient Procedure for Mining Egocentric Temporal Motifs. CoRR abs/2110.01391 (2021) - [i15]Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati:
The Science of Rejection: A Research Area for Human Computation. CoRR abs/2111.06736 (2021) - 2020
- [j37]Wanyi Zhang, Andrea Passerini, Fausto Giunchiglia:
Dealing with Mislabeling via Interactive Machine Learning. Künstliche Intell. 34(2): 271-278 (2020) - [j36]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) - [j35]Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris A. M. Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli, Emanuele Peschiera, Riccardo Trevisan, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J. G. van Sloun, Elisa Ricci, Libertario Demi:
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Trans. Medical Imaging 39(8): 2676-2687 (2020) - [c48]Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini:
Learning Weighted Model Integration Distributions. AAAI 2020: 5224-5231 - [c47]Luca Erculiani, Fausto Giunchiglia, Andrea Passerini:
Continual Egocentric Object Recognition. ECAI 2020: 1127-1134 - [c46]Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini:
Learning in the Wild with Incremental Skeptical Gaussian Processes. IJCAI 2020: 2886-2892 - [c45]Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini:
Efficient Generation of Structured Objects with Constrained Adversarial Networks. NeurIPS 2020 - [i14]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) - [i13]Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini:
Efficient Generation of Structured Objects with Constrained Adversarial Networks. CoRR abs/2007.13197 (2020) - [i12]Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini:
Few-Shot Unsupervised Continual Learning through Meta-Examples. CoRR abs/2009.08107 (2020) - [i11]Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini:
Learning in the Wild with Incremental Skeptical Gaussian Processes. CoRR abs/2011.00928 (2020) - [i10]Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger:
Learning Aggregation Functions. CoRR abs/2012.08482 (2020)
2010 – 2019
- 2019
- [j34]Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
Advanced SMT techniques for weighted model integration. Artif. Intell. 275: 1-27 (2019) - [j33]Stefano Teso, Luca Masera, Michelangelo Diligenti, Andrea Passerini:
Combining learning and constraints for genome-wide protein annotation. BMC Bioinform. 20(1): 338:1-338:14 (2019) - [j32]Manfred Jaeger, Marco Lippi, Giovanni Pellegrini, Andrea Passerini:
Counts-of-counts similarity for prediction and search in relational data. Data Min. Knowl. Discov. 33(5): 1254-1297 (2019) - [j31]Chiara Ghidini, Bernardo Magnini, Andrea Passerini:
Special issue: Selected and revised papers from the 17th International Conference of the Italian Association for Artificial Intelligence. Intelligenza Artificiale 13(1): 1-4 (2019) - [j30]Mattia Zeni, Wanyi Zhang, Enrico Bignotti, Andrea Passerini, Fausto Giunchiglia:
Fixing Mislabeling by Human Annotators Leveraging Conflict Resolution and Prior Knowledge. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 32:1-32:23 (2019) - [j29]Leonardo Maccari, Andrea Passerini:
A Big Data and machine learning approach for network monitoring and security. Secur. Priv. 2(1) (2019) - [c44]Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, Luc De Raedt:
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration. IJCAI 2019: 6530-6532 - [i9]Luca Erculiani, Fausto Giunchiglia, Andrea Passerini:
Continual egocentric object recognition. CoRR abs/1912.05029 (2019) - 2018
- [c43]Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini:
Decomposition Strategies for Constructive Preference Elicitation. AAAI 2018: 2934-2942 - [c42]Paolo Dragone, Stefano Teso, Andrea Passerini:
Constructive Preference Elicitation Over Hybrid Combinatorial Spaces. AAAI 2018: 2943-2950 - [c41]Luc De Raedt, Andrea Passerini, Stefano Teso:
Learning Constraints From Examples. AAAI 2018: 7965-7970 - [c40]Samuel Kolb, Stefano Teso, Andrea Passerini, Luc De Raedt:
Learning SMT(LRA) Constraints using SMT Solvers. IJCAI 2018: 2333-2340 - [c39]Paolo Dragone, Stefano Teso, Andrea Passerini:
Pyconstruct: Constraint Programming Meets Structured Prediction. IJCAI 2018: 5823-5825 - [c38]Luca Erculiani, Paolo Dragone, Stefano Teso, Andrea Passerini:
Automating Layout Synthesis with Constructive Preference Elicitation. ECML/PKDD (3) 2018: 254-270 - [c37]Paolo Dragone, Giovanni Pellegrini, Michele Vescovi, Katya Tentori, Andrea Passerini:
No more ready-made deals: constructive recommendation for telco service bundling. RecSys 2018: 163-171 - [e2]Chiara Ghidini, Bernardo Magnini, Andrea Passerini, Paolo Traverso:
AI*IA 2018 - Advances in Artificial Intelligence - XVIIth International Conference of the Italian Association for Artificial Intelligence, Trento, Italy, November 20-23, 2018, Proceedings. Lecture Notes in Computer Science 11298, Springer 2018, ISBN 978-3-030-03839-7 [contents] - 2017
- [j28]Andrea Passerini, Guido Tack, Tias Guns:
Introduction to the special issue on Combining Constraint Solving with Mining and Learning. Artif. Intell. 244: 1-5 (2017) - [j27]Stefano Teso, Roberto Sebastiani, Andrea Passerini:
Structured learning modulo theories. Artif. Intell. 244: 166-187 (2017) - [j26]Paolo Dragone, Stefano Teso, Andrea Passerini:
Constructive Preference Elicitation. Frontiers Robotics AI 4: 71 (2017) - [c36]Stefano Teso, Paolo Dragone, Andrea Passerini:
Coactive Critiquing: Elicitation of Preferences and Features. AAAI 2017: 2639-2645 - [c35]Stefano Teso, Andrea Passerini, Paolo Viappiani:
Constructive Preference Elicitation for Multiple Users with Setwise Max-margin. ADT 2017: 3-17 - [c34]Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
Efficient Weighted Model Integration via SMT-Based Predicate Abstraction. IJCAI 2017: 720-728 - [i8]Paolo Dragone, Stefano Teso, Andrea Passerini:
Constructive Preference Elicitation over Hybrid Combinatorial Spaces. CoRR abs/1711.07875 (2017) - [i7]Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini:
Decomposition Strategies for Constructive Preference Elicitation. CoRR abs/1711.08247 (2017) - 2016
- [j25]Gianluca Corrado, Toma Tebaldi, Fabrizio Costa, Paolo Frasconi, Andrea Passerini:
RNAcommender: genome-wide recommendation of RNA-protein interactions. Bioinform. 32(23): 3627-3634 (2016) - [j24]Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet:
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. Data Min. Knowl. Discov. 30(5): 995-997 (2016) - [j23]Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet:
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. Mach. Learn. 104(2-3): 149-150 (2016) - [c33]Vaishak Belle, Guy Van den Broeck, Andrea Passerini:
Component Caching in Hybrid Domains with Piecewise Polynomial Densities. AAAI 2016: 3369-3375 - [c32]Emanuele Sansone, Andrea Passerini, Francesco G. B. De Natale:
Classtering: Joint Classification and Clustering with Mixture of Factor Analysers. ECAI 2016: 1089-1095 - [c31]Stefano Teso, Andrea Passerini, Paolo Viappiani:
Constructive Preference Elicitation by Setwise Max-Margin Learning. IJCAI 2016: 2067-2073 - [c30]Vaishak Belle, Guy Van den Broeck, Andrea Passerini:
Hashing-Based Approximate Probabilistic Inference in Hybrid Domains: An Abridged Report. IJCAI 2016: 4115-4119 - [p3]Andrea Passerini:
Learning Modulo Theories. Data Mining and Constraint Programming 2016: 113-146 - [i6]Stefano Teso, Andrea Passerini, Paolo Viappiani:
Constructive Preference Elicitation by Setwise Max-margin Learning. CoRR abs/1604.06020 (2016) - [i5]Stefano Teso, Paolo Dragone, Andrea Passerini:
Coactive Critiquing: Elicitation of Preferences and Features. CoRR abs/1612.01941 (2016) - 2015
- [c29]Daniil Mirylenka, Andrea Passerini, Luciano Serafini:
Bootstrapping Domain Ontologies from Wikipedia: A Uniform Approach. IJCAI 2015: 1464-1470 - [c28]Vaishak Belle, Andrea Passerini, Guy Van den Broeck:
Probabilistic Inference in Hybrid Domains by Weighted Model Integration. IJCAI 2015: 2770-2776 - [c27]Vaishak Belle, Guy Van den Broeck, Andrea Passerini:
Hashing-Based Approximate Probabilistic Inference in Hybrid Domains. UAI 2015: 141-150 - [e1]Dietmar Jannach, Jérôme Mengin, Bamshad Mobasher, Andrea Passerini, Paolo Viappiani:
Proceedings of the IJCAI 2015 Joint Workshop on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 27, 2015. CEUR Workshop Proceedings 1440, CEUR-WS.org 2015 [contents] - [i4]Paolo Campigotto, Roberto Battiti, Andrea Passerini:
Learning Modulo Theories for preference elicitation in hybrid domains. CoRR abs/1508.04261 (2015) - 2014
- [j22]Stefano Teso, Andrea Passerini:
Joint probabilistic-logical refinement of multiple protein feature predictors. BMC Bioinform. 15: 16 (2014) - [j21]Claudio Saccà, Stefano Teso, Michelangelo Diligenti, Andrea Passerini:
Improved multi-level protein¿protein interaction prediction with semantic-based regularization. BMC Bioinform. 15: 103 (2014) - [j20]Elisa Cilia,