Scientific Publications

TAILOR-related scientific publications from project start until August 2022.

  1. Agostinelli, Simone, Giacomo Bergami, Alessio Fiorenza, Fabrizio Maria Maggi, Andrea Marrella, och Fabio Patrizi. 2021. ”Discovering Declarative Process Model Behavior from Event Logs via Model Learning”. I ICPM, 48–55. IEEE.
  2. Aineto, Diego, Sergio Jiménez, och Eva Onaindia. 2021. ”Generalized Temporal Inference via Planning”. I KR, 22–31.
  3. Alman, Anti, Fabrizio Maria Maggi, Marco Montali, Fabio Patrizi, och Andrey Rivkin. 2022. ”Multi-Model Monitoring Framework for Hybrid Process Specifications”. I CAISE.
  4. Alpuente, María, Angel Cuenca-Ortega, Santiago Escobar, och José Meseguer. 2020. ”Order-sorted Homeomorphic Embedding Modulo Combinations of Associativity and/or Commutativity Axioms”. Fundam. Informaticae 177 (3–4): 297–329. https://doi.org/10.3233/FI-2020-1991.
  5. Alpuente, María, Daniel Pardo, och Alicia Villanueva. 2020. ”Abstract Contract Synthesis and Verification in the Symbolic K Framework”. Fundam. Informaticae 177 (3–4): 235–73. https://doi.org/10.3233/FI-2020-1989.
  6. Alsaidi, Safa, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, och Miguel Couceiro. 2021. ”A Neural Approach for Detecting Morphological Analogies”. I The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA). Porto/Online, Portugal. https://hal.inria.fr/hal-03313556.
  7. Alves, Guilherme, Maxime Amblard, Fabien Bernier, Miguel Couceiro, och Amedeo Napoli. 2021. ”Reducing Unintended Bias of ML Models on Tabular and Textual Data”. I The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA). Porto/Online, Portugal. https://hal.archives-ouvertes.fr/hal-03312797.
  8. Alves, Guilherme, Vaishnavi Bhargava, Miguel Couceiro, och Amedeo Napoli. 2020. ”Making ML Models Fairer Through Explanations: The Case of LimeOut”. I Analysis of Images, Social Networks and Texts – 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers, 12602:3–18. Lecture Notes in Computer Science. Springer.
  9. Amado, Leonardo Rosa, Ramon Fraga Pereira, och Felipe Meneguzzi. 2021. ”Combining LSTMs and Symbolic Approaches for Robust Plan Recognition”. I AAMAS.
  10. Aminof, Benjamin, Giuseppe De Giacomo, Alessio Lomuscio, Aniello Murano, och Sasha Rubin. 2021. ”Synthesizing Best-Effort Strategies under Multiple Environment Specifications”. I KR.
  11. Aminof, Benjamin, Giuseppe De Giacomo, och Sasha Rubin. 2021. ”Best-Effort Synthesis: Doing Your Best Is Not Harder Than Giving Up”. I IJCAI.
  12. Apriceno, Gianluca, Andrea Passerini, och Luciano Serafini. 2021. ”A Neuro-Symbolic Approach to Structured Event Recognition”. I 28th International Symposium on Temporal Representation and Reasoning (TIME 2021), 206:11:1-11:14. Leibniz International Proceedings in Informatics (LIPIcs). https://doi.org/10.4230/LIPIcs.TIME.2021.11.
  13. Attardi, Giuseppe, Daniele Sartiano, och Maria Simi. 2021. ”Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies”. I Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021), 184–88. Online: Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.iwpt-1.19.
  14. Atzeni, Daniele, Davide Bacciu, Federico Errica, och Alessio Micheli. 2021. ”Modeling Edge Features with Deep Bayesian Graph Networks”. I International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 1–8. IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533430.
  15. Audemard, Gilles, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, och Pierre Marquis. 2021. ”On the Computational Intelligibility of Boolean Classifiers”. I KR, 74–86.
  16. Bacciu, Davide, Alessio Conte, Roberto Grossi, Francesco Landolfi, och Andrea Marino. 2021a. ”K-plex cover pooling for graph neural networks”. Data Min. Knowl. Discov. 35 (5): 2200–2220.
  17. ———. 2021b. ”K-plex cover pooling for graph neural networks”. Data Min. Knowl. Discov. 35 (5): 2200–2220. https://doi.org/10.1007/s10618-021-00779-z.
  18. Bacciu, Davide, och Marco Podda. 2021. ”Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation”. I International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 1–8. IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533743.
  19. Barták, Roman, Simona Ondrcková, Gregor Behnke, och Pascal Bercher. 2021. ”Correcting Hierarchical Plans by Action Deletion”. I KR, 99–109. https://doi.org/10.24963/kr.2021/10.
  20. Bazin, Alexandre, Miguel Couceiro, Marie-Dominique Devignes, och Amedeo Napoli. 2020. ”Explaining Multicriteria Decision Making with Formal Concept Analysis”. I Proceedings of the Fifthteenth International Conference on Concept Lattices and Their Applications, Tallinn, Estonia, June 29-July 1, 2020, 2668:119–30. CEUR Workshop Proceedings. CEUR-WS.org.
  21. Bhargava, Vaishnavi, Miguel Couceiro, och Amedeo Napoli. 2020. ”LimeOut: An Ensemble Approach to Improve Process Fairness”. I ECML PKDD 2020 Workshops – Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, 1323:475–91. Communications in Computer and Information Science. Springer.
  22. Biedenkapp, André, H. Furkan Bozkurt, Theresa Eimer, Frank Hutter, och Marius Lindauer. 2020. ”Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework”. I ECAI, 325:427–34. Frontiers in Artificial Intelligence and Applications. IOS Press.
  23. Bischl, Bernd, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, och Joaquin Vanschoren. 2021. ”OpenML Benchmarking Suites”. I Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2).
  24. Blom, Koen van der, Alex Serban, Holger Hoos, och Joost Visser. 2021. ”AutoML Adoption in ML Software”. I 8th ICML Workshop on Automated Machine Learning.
  25. Bonet, Blai, och Hector Geffner. 2021. ”General Policies, Representations, and Planning Width”. I AAAI.
  26. Bonsignori, Valerio, Riccardo Guidotti, och Anna Monreale. 2021. ”Deriving a Single Interpretable Model by Merging Tree-Based Classifiers”. I Discovery Science – 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings, 12986:347–57. Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/978-3-030-88942-5_27.
  27. Bontempelli, Andrea, Fausto Giunchiglia, Andrea Passerini, och Stefano Teso. 2022. ”Toward a Unified Framework for Debugging Gray-box Models”. The AAAI-22 Workshop on Interactive Machine Learning.
  28. Boudou, Joseph, Andreas Herzig, och Nicolas Troquard. 2021. ”Resource separation in dynamic logic of propositional assignments”. J. Log. Algebraic Methods Program. 121: 100683. https://doi.org/10.1016/j.jlamp.2021.100683.
  29. Brunori, Damiano, Stefania Colonnese, Francesca Cuomo, och Luca Iocchi. 2021. ”A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems”.
  30. Brzezinski, Dariusz, Leandro L. Minku, Tomasz Pewinski, Jerzy Stefanowski, och Artur Szumaczuk. 2021. ”The impact of data difficulty factors on classification of imbalanced and concept drifting data streams”. Knowl. Inf. Syst. 63 (6): 1429–69. https://doi.org/10.1007/s10115-021-01560-w.
  31. Burden, John, José Hernández-Orallo, och Sean Ó hÉigeartaigh. 2021. ”Negative Side Effects and AI Agent Indicators: Experiments in SafeLife”. I SafeAI@AAAI.
  32. Büchner, Clemens, Thomas Keller, och Malte Helmert. 2021. ”Exploiting Cyclic Dependencies in Landmark Heuristics”. I ICAPS.
  33. Calautti, Marco, Marco Console, och Andreas Pieris. 2021a. ”Benchmarking Approximate Consistent Query Answering”. I PODS’21: Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, Virtual Event, China, June 20-25, 2021, redigerad av Leonid Libkin, Reinhard Pichler, och Paolo Guagliardo, 233–46. ACM. https://doi.org/10.1145/3452021.3458309.
  34. ———. 2021b. ”Benchmarking Approximate Consistent Query Answering (Discussion Paper)”. I Proceedings of the 29th Italian Symposium on Advanced Database Systems, SEBD 2021, Pizzo Calabro (VV), Italy, September 5-9, 2021, redigerad av Sergio Greco, Maurizio Lenzerini, Elio Masciari, och Andrea Tagarelli, 2994:209–16. CEUR Workshop Proceedings. CEUR-WS.org. http://ceur-ws.org/Vol-2994/paper21.pdf.
  35. Cardillo, Franco Alberto, och Umberto Straccia. 2021. ”Fuzzy OWL-BOOST: Learning Fuzzy Concept Inclusions via Real-Valued Boosting”. Fuzzy Sets and Systems. https://doi.org/10.1016/j.fss.2021.07.002.
  36. Casini, Giovanni, Thomas Andreas Meyer, och Ivan Varzinczak. 2021. ”Contextual Conditional Reasoning”. I AAAI, 6254–61. AAAI Press.
  37. Casini, Giovanni, och Umberto Straccia. 2022. ”A Rational Entailment for Expressive Description Logics via Description Logic Programs”. I Proceedings of the Southern African Artificial Intelligence Conference (SACAIR-2021), 1551:177–91. Communications in Computer and Information Science. Springer. https://doi.org/10.1007/978-3-030-95070-5_12.
  38. Castellana, Daniele, och Davide Bacciu. 2020. ”Learning from Non-Binary Constituency Trees via Tensor Decomposition”. I Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, 3899–3910. International Committee on Computational Linguistics. https://doi.org/10.18653/v1/2020.coling-main.346.
  39. ———. 2022. ”A tensor framework for learning in structured domains”. Neurocomputing 470: 405–26. https://doi.org/10.1016/j.neucom.2021.05.110.
  40. Chiariello, Francesco, Fabrizio Maria Maggi, och Fabio Patrizi. 2022. ”ASP-Based Declarative Process Mining”. I AAAI.
  41. Cima, Gianluca, Marco Console, Maurizio Lenzerini, och Antonella Poggi. 2021. ”Abstraction in Data Integration”. I 36th Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2021, Rome, Italy, June 29 – July 2, 2021, 1–11. IEEE. https://doi.org/10.1109/LICS52264.2021.9470716.
  42. Cima, Gianluca, Federico Croce, och Maurizio Lenzerini. 2021. ”Query Definability and Its Approximations in Ontology-based Data Management”. I CIKM ’21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 – 5, 2021, redigerad av Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, och Hanghang Tong, 271–80. ACM. https://doi.org/10.1145/3459637.3482466.
  43. Cintrano, Christian, Javier Ferrer, Manuel López-Ibáñez, och Enrique Alba. 2021. ”Hybridization of Racing Methods with Evolutionary Operators for Simulation Optimization of Traffic Lights Programs”. I Evolutionary Computation in Combinatorial Optimization – 21st European Conference, EvoCOP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings, 12692:17–33. Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/978-3-030-72904-2_2.
  44. Ciucanu, R., A. Delabrouille, P. Lafourcade, och M. Soare. 2022. ”Secure Protocols for Best Arm Identification in Federated Stochastic Multi-Armed Bandits”. IEEE Transactions on Dependable and Secure Computing (TDSC).
  45. Ciucanu, R., P. Lafourcade, M. Lombard-Platet, och M. Soare. 2022. ”Secure Protocols for Cumulative Reward Maximization in Stochastic Multi-Armed Bandits”. Journal of Computer Security (JCS).
  46. Ciucanu, Radu, Pascal Lafourcade, Gael Marcadet, och Marta Soare. 2022. ”SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits”. J. Artif. Intell. Res. 73: 737–65. https://doi.org/10.1613/jair.1.13163.
  47. Console, Marco, Giuseppe De Giacomo, Maurizio Lenzerini, och Manuel Namici. 2021. ”Intensional and Extensional Views in DL-Lite Ontologies”. I IJCAI.
  48. Console, Marco, Phokion G. Kolaitis, och Andreas Pieris. 2021a. ”Model-theoretic Characterizations of Rule-based Ontologies”. I Proceedings of the 34th International Workshop on Description Logics (DL 2021) part of Bratislava Knowledge September (BAKS 2021), Bratislava, Slovakia, September 19th to 22nd, 2021, redigerad av Martin Homola, Vladislav Ryzhikov, och Renate A. Schmidt. Vol. 2954. CEUR Workshop Proceedings. CEUR-WS.org. http://ceur-ws.org/Vol-2954/paper-10.pdf.
  49. ———. 2021b. ”Model-theoretic Characterizations of Rule-based Ontologies”. I PODS’21: Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, Virtual Event, China, June 20-25, 2021, redigerad av Leonid Libkin, Reinhard Pichler, och Paolo Guagliardo, 416–28. ACM. https://doi.org/10.1145/3452021.3458310.
  50. Cooper, Martin C., Andreas Herzig, Faustine Maffre, Frédéric Maris, Elise Perrotin, och Pierre Régnier. 2021. ”A Lightweight Epistemic Logic and its Application to Planning”. Artificial Intelligence 298: 103437. https://doi.org/10.1016/j.artint.2020.103437.
  51. Corrêa, Augusto B., Guillem Francès, Florian Pommerening, och Malte Helmert. 2021. ”Delete-Relaxation Heuristics for Lifted Classical Planning”. I ICAPS.
  52. Corrêa, Augusto B., och Jendrik Seipp. 2022. ”Best-First Width Search for Lifted Classical Planning”. I ICAPS.
  53. Coste-Marquis, Sylvie, och Pierre Marquis. 2021. ”On Belief Change for Multi-Label Classifier Encodings”. I IJCAI, 1829–36. ijcai.org.
  54. Couceiro, Miguel, Erkko Lehtonen, Laurent Miclet, Henri Prade, och Gilles Richard. 2020. ”When Nominal Analogical Proportions Do Not Fail”. I Scalable Uncertainty Management – 14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23-25, 2020, Proceedings, 12322:68–83. Lecture Notes in Computer Science. Springer.
  55. Danassis, Panayiotis, Zeki Doruk Erden, och Boi Faltings. 2022. ”Exploiting environmental signals to enable policy correlation in large-scale decentralized systems”. Autonomous Agents and Multi-Agent Systems 36 (1): 13.
  56. Danassis, Panayiotis, Aleksei Triastcyn, och Boi Faltings. 2022. ”A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings”. I Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems. AAMAS ’22.
  57. Daniela De Canditiis, Italia De Feis. 2021. ”Anomaly Detection in Multichannel Data Using Sparse Representation in RADWT Frames”. Mathematics 9 (11): 1288.
  58. Darwiche, Adnan, och Pierre Marquis. 2021. ”On Quantifying Literals in Boolean Logic and Its Applications to Explainable AI”. JAIR 72: 285–328.
  59. De Bie, Tijl, Luc De Raedt, José Hernández-Orallo, Holger H Hoos, Padhraic Smyth, och Christopher KI Williams. 2021. ”Automating Data Science: Prospects and Challenges”. Communications of the ACM.
  60. De Bruijn, Hans, Martijn Warnier, och Marijn Janssen. 2021. ”The perils and pitfalls of explainable AI: Strategies for explaining algorithmic decision-making”. Government Information Quarterly 101666: Online. https://doi.org/10.1016/j.giq.2021.101666.
  61. De Giacomo, Giuseppe, och Marco Favorito. 2021. ”Compositional Approach to Translate LTLf/LDLf into Deterministic Finite Automata”. I ICAPS. Vol. 14.
  62. De Giacomo, Giuseppe, Paolo Felli, Brian Logan, Fabio Patrizi, och Sebastian Sardiña. 2021. ”Situation Calculus for Controller Synthesis in Manufacturing Systems with First-Order State Representation”. Artificial Intelligence.
  63. Dhami, Devendra Singh, Mayukh Das, och Sriraam Natarajan. 2021. ”Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation”. I Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021, Online event, November 3-12, 2021, 247–57.
  64. Di Liello, Luca, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, och Andrea Passerini. 2020. ”Efficient Generation of Structured Objects with Constrained Adversarial Networks”. Advances in Neural Information Processing Systems 33.
  65. Domínguez-Ríos, Miguel Ángel, Francisco Chicano, och Enrique Alba. 2021a. ”Effective anytime algorithm for multiobjective combinatorial optimization problems”. Information Sciences 565: 210–28. https://doi.org/10.1016/j.ins.2021.02.074.
  66. ———. 2021b. ”Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics Plus Integer Linear Programming”. I Applications of Evolutionary Computation, 242–57. Cham: Springer International Publishing.
  67. Dominik Drexler, Jendrik Seipp, och David Speck. 2021. ”Subset-Saturated Transition Cost Partitioning”. I ICAPS.
  68. Donadello, Ivan, Anthony Hunter, Stefano Teso, och Mauro Dragoni. 2022. ”Machine Learning for Utility Prediction in Argument-Based Computational Persuasion”. I AAAI. AAAI Press.
  69. Drexler, Dominik, Jendrik Seipp, och Hector Geffner. 2021. ”Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches”. I KR.
  70. ———. 2022. ”Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width”. I ICAPS.
  71. Driel, Ronald van, Emir Demirovic, och Neil Yorke-Smith. 2021. ”Learning Variable Activity Initialisation for Lazy Clause Generation Solvers”. I Integration of Constraint Programming, Artificial Intelligence, and Operations Research – 18th International Conference, CPAIOR 2021, Vienna, Austria, July 5-8, 2021, Proceedings, 12735:62–71. Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/978-3-030-78230-6_4.
  72. Eggensperger, Katharina, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, Rene Sass, Aaron Klein, Noor Awad, Marius Lindauer, och Frank Hutter. 2021. ”HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO”. I Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2).
  73. El Baz, Adrian, Isabelle Guyon, Zhengying Liu, Jan van Rijn, Sebastien Treguer, och Joaquin Vanschoren. 2021. ”Advances in MetaDL: AAAI 2021 challenge and workshop”. Proceedings of Machine Learning Research. https://proceedings.mlr.press/v140/el-baz21a.html.
  74. Errica, Federico, Davide Bacciu, och Alessio Micheli. 2021a. ”Graph Mixture Density Networks”. I Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 139:3025–35. Proceedings of Machine Learning Research. PMLR.
  75. ———. 2021b. ”Graph Mixture Density Networks”. I Proceedings of the 38th International Conference on Machine Learning, 139:3025–35. Proceedings of Machine Learning Research. PMLR.
  76. Fisher, Michael, Viviana Mascardi, Kristin Yvonne Rozier, Bernd-Holger Schlingloff, Michael Winikoff, och Neil Yorke-Smith. 2021. ”Towards a framework for certification of reliable autonomous systems”. Auton. Agents Multi Agent Syst. 35 (1): 8. https://doi.org/10.1007/s10458-020-09487-2.
  77. Fontana, Michele, Francesca Naretto, och Anna Monreale. 2021. ”A new approach for cross-silo federated learning and its privacy risks”. I 18th International Conference on Privacy, Security and Trust, PST 2021, Auckland, New Zealand, December 13-15, 2021, 1–10. IEEE. https://doi.org/10.1109/PST52912.2021.9647753.
  78. Fraga Pereira, Ramon, Francesco Fuggitti, och Giuseppe De Giacomo. 2021. ”Recognizing LTLf/PLTLf Goals in Fully Observable Non-Deterministic Domain Models”. CoRR abs/2103.11692 (mars).
  79. Francès, Guillem, Blai Bonet, och Hector Geffner. 2021. ”Learning General Planning Policies from Small Examples Without Supervision”. I AAAI, 11801–8.
  80. Garcia-Piqueras, Manuel, och José Hernández-Orallo. 2021. ”Optimal Teaching Curricula with Compositional Simplicity Priors”. I Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 705–21. Springer.
  81. Geisler, Sandra, Maria-Esther Vidal, Cinzia Cappiello, Bernadette Farias Lóscio, Avigdor Gal, Matthias Jarke, Maurizio Lenzerini, m.fl. 2022. ”Knowledge-Driven Data Ecosystems Toward Data Transparency”. ACM J. Data Inf. Qual. 14 (1): 3:1-3:12. https://doi.org/10.1145/3467022.
  82. Giacomo, Giuseppe De, Marco Favorito, Luca Iocchi, och Fabio Patrizi. 2021. ”Domain-Independent Reward Machines for Modular Integration of Planning and Learning”. I PRL Workshop.
  83. Giacomo, Giuseppe De, Marco Favorito, Massimo Mecella, Francesco Leotta, och Luciana Silo. 2022. ”Digital Twins Composition via Markov Decision Processes”. I ITAL-IA Workshop.
  84. Giacomo, Giuseppe De, Paolo Felli, Marco Montali, och Giuseppe Perelli. 2021. ”HyperLDLf: a Logic for Checking Properties of Finite Traces Process Logs”. I IJCAI.
  85. Giacomo, Giuseppe De, och Yves Lespérance. 2021. ”The Nondeterministic Situation Calculus”. I KR.
  86. Giacomo, Giuseppe De, Aniello Murano, Fabio Patrizi, och Giuseppe Perelli. 2021. ”Timed Trace Alignment with Metric Temporal Logic over Finite Traces”. I KR.
  87. Giacomo, Giuseppe De, Xavier Oriol, Riccardo Rosati, och Domenico Fabio Savo. 2021. ”Instance-Level Update in DL-Lite Ontologies through First-Order Rewriting”. JAIR 70: 1335–71. https://doi.org/10.1613/jair.1.12414.
  88. Giacomo, Giuseppe De, och Giuseppe Perelli. 2021. ”Behavioral QLTL”. CoRR abs/2102.11184.
  89. Giacomo, Giuseppe De, Antonio Di Stasio, Giuseppe Perelli, och Shufang Zhu. 2021. ”Synthesis with Mandatory Stop Actions”. I KR.
  90. Giacomo, Giuseppe De, Antonio Di Stasio, Lucas M. Tabajara, Moshe Vardi, och Shufang Zhu. 2021. ”Finite-Trace and Generalized-Reactivity Specifications in Temporal Synthesis”. I IJCAI.
  91. Giunchiglia, F., L. Erculiani, och A. Passerini. 2021. ”Towards Visual Semantics”. SN COMPUT. SCI. 2 (446). https://doi.org/10.1007/s42979-021-00839-7.
  92. Guidotti, Riccardo. 2021. ”Evaluating local explanation methods on ground truth”. Artif. Intell. 291: 103428. https://doi.org/10.1016/j.artint.2020.103428.
  93. Guidotti, Riccardo, och Matteo D’Onofrio. 2021. ”Matrix Profile-Based Interpretable Time Series Classifier”. Frontiers Artif. Intell. 4: 699448. https://doi.org/10.3389/frai.2021.699448.
  94. Guidotti, Riccardo, och Anna Monreale. 2021. ”Designing Shapelets for Interpretable Data-Agnostic Classification”. I AIES ’21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021, 532–42. ACM. https://doi.org/10.1145/3461702.3462553.
  95. Guidotti, Riccardo, Anna Monreale, Dino Pedreschi, och Fosca Giannotti. 2021. ”Principles of Explainable Artificial Intelligence”. I Explainable AI Within the Digital Transformation and Cyber Physical Systems, 9–31. Springer.
  96. Guidotti, Riccardo, Anna Monreale, Francesco Spinnato, Dino Pedreschi, och Fosca Giannotti. 2020. ”Explaining Any Time Series Classifier”. I 2nd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2020, Atlanta, GA, USA, October 28-31, 2020, 167–76. IEEE. https://doi.org/10.1109/CogMI50398.2020.00029.
  97. Guidotti, Riccardo, och Stefano Viotto. 2020. ”Interpretable Next Basket Prediction Boosted with Representative Recipes”. I 2nd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2020, Atlanta, GA, USA, October 28-31, 2020, 62–71. IEEE. https://doi.org/10.1109/CogMI50398.2020.00018.
  98. Gusmao, Kin Max, Ramon Fraga Pereira, Andre Grahl Pereira, och Felipe Meneguzzi. 2021. ”Inferring Agents Preferences as Priors for Probabilistic Goal Recognition”. CoRR abs/2102.11791.
  99. Gutierrez, Julian, Paul Harrenstein, Giuseppe Perelli, och Michael Wooldridge. 2021. ”Expressiveness and Nash Equilibrium in Iterated Boolean Games”. ACM Trans. Comput. Logic 22 (2). https://doi.org/10.1145/3439900.
  100. Habering, Daniel, Till Hofmann, och Gerhard Lakemeyer. 2021. ”Using Platform Models for a Guided Explanatory Diagnosis Generation for Mobile Robots”. I IJCAI, 1908–14. ijcai.org.
  101. Haoran Peng, Tao Lin, He Huang, Li Xu, Tianjiao Li, Jun Liu, Hossein Rahmani, Qiuhong Ke, Zhicheng Guo, Cong Wu, Rongchang Li, Mang Ye, Jiahao Wang, Jiaxu Zhang, Yuanzhong Liu, Tao He, Fuwei Zhang, Xianbin Liu. 2021. ”The Multi-Modal Video Reasoning and Analyzing Competition”. I International Conference on Computer Vision- Workshop.
  102. Haoxuan Qu, Bryan Williams, Hossein Rahmani, Li Xu, och Jun Liu. 2021. ”Recent Advances of Continual Learning in Computer Vision: An Overview”. CoRR abs/2109.11369.
  103. Herzig, Andreas, Frédéric Maris, och Elise Perrotin. 2021. ”A Dynamic Epistemic Logic with Finite Iteration and Parallel Composition”. I Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021, Online event, November 3-12, 2021, 676–80. https://doi.org/10.24963/kr.2021/68.
  104. Herzig, Andreas, och Antonio Yuste-Ginel. 2021a. ”Abstract Argumentation with Qualitative Uncertainty: An Analysis in Dynamic Logic”. I Logic and Argumentation – 4th International Conference, CLAR 2021, Hangzhou, China, October 20-22, 2021, Proceedings, 13040:190–208. Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/978-3-030-89391-0_11.
  105. ———. 2021b. ”Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks”. I Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021, 1922–28. ijcai.org. https://doi.org/10.24963/ijcai.2021/265.
  106. ———. 2021c. ”On the Epistemic Logic of Incomplete Argumentation Frameworks”. I Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021, Online event, November 3-12, 2021, 681–85. https://doi.org/10.24963/kr.2021/69.
  107. Hvarfner, Carl, Danny Stoll, Artur Souza, Luigi Nardi, Marius Lindauer, och Frank Hutter. 2022. ”$\textbackslashpi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization”. I International Conference on Learning Representations.
  108. Iranzo-Sánchez, Javier, Javier Jorge, Pau Baquero-Arnal, Joan Albert Silvestre-Cerdà, Adrià Giménez, Jorge Civera, Albert Sanchis, och Alfons Juan. 2021. ”Streaming cascade-based speech translation leveraged by a direct segmentation model”. Neural Networks 142 (januari): 303–15. https://doi.org/10.1016/j.neunet.2021.05.013.
  109. Jia Gong, Jun Liu, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani. 2022. ”Meta Agent Teaming Active Learning for Pose Estimation”. I IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
  110. Kicki, Piotr, Tomasz Gawron, Krzysztof Cwian, Mete Ozay, och Piotr Skrzypczy\’nski. 2021. ”Learning from experience for rapid generation of local car maneuvers”. Engineering Applications of Artificial Intelligence 105: 104399. https://doi.org/10.1016/j.engappai.2021.104399.
  111. Kim, Youngmin, Richard Allmendinger, och Manuel López-Ibáñez. 2020. ”Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art”. I Trustworthy AI – Integrating Learning, Optimization and Reasoning – First International Workshop, TAILOR 2020, Virtual Event, September 4-5, 2020, Revised Selected Papers, 12641:123–39. Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/978-3-030-73959-1_12.
  112. Kin Max Gusmão, Felipe Meneguzzi, Ramon Fraga Pereira. 2021. ”Inferring Agents Preferences as Priors for Probabilistic Goal Recognition”. I SPARK Workshop (ICAPS).
  113. Kumar, Mohit, Samuel Kolb, Luc De Raedt, och Stefano Teso. 2021. ”Learning Mixed-Integer Linear Programs from Contextual Examples”. Data Science Meets Optimization Workshop.
  114. Lamanna, Leonardo, Alessandro Saetti, Luciano Serafini, Alfonso E. Gerevini, och Paolo Traverso. 2021. ”Online Learning of Action Models for PDDL Planning”. I IJCAI.
  115. Lamanna, Leonardo, Luciano Serafini, Alfonso E. Gerevini, Alessandro Saetti, och Paolo Traverso. 2021. ”On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces”. I AAAI.
  116. Latour, Anna L. D., Behrouz Babaki, Daniël Fokkinga, Marie Anastacio, Holger H. Hoos, och Siegfried Nijssen. 2022. ”Exact stochastic constraint optimisation with applications in network analysis”. Artif. Intell. 304: 103650.
  117. Lenzerini, Maurizio, Lorenzo Lepore, och Antonella Poggi. 2021. ”Metamodeling and metaquerying in OWL 2 QL”. Artificial Intelligence 292: 103432. https://doi.org/10.1016/j.artint.2020.103432.
  118. Liu, Daxin, och Gerhard Lakemeyer. 2021. ”Reasoning about Beliefs and Meta-Beliefs by Regression in an Expressive Probabilistic Action Logic”. I IJCAI, 1951–58. ijcai.org.
  119. Ma, Xianzheng, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, och Jun Liu. 2022. ”REMOTE: Reinforced Motion Transformation Network for Semi-Supervised 2D Pose Estimation in Videos”. I AAAI.
  120. Maaroof, Najlaa, Antonio Moreno, Aida Valls, Mohammed Jabreel, och Marcin Szeląg. 2022. ”A Comparative Study of Two Rule-Based Explanation Methods for Diabetic Retinopathy Risk Assessment”. Applied Sciences 12 (7). https://doi.org/10.3390/app12073358.
  121. Mariani, Giacomo, Anna Monreale, och Francesca Naretto. 2021. ”Privacy Risk Assessment of Individual Psychometric Profiles”. I Discovery Science – 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings, 12986:411–21. Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/978-3-030-88942-5_32.
  122. Marra, Giuseppe, Sebastijan Dumancic, Robin Manhaeve, och Luc De Raedt. 2021. ”From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey”. CoRR abs/2108.11451. https://arxiv.org/abs/2108.11451.
  123. Martínez-Plumed, Fernando, Pablo Barredo, Sean O Heigeartaigh, och José Hernández-Orallo. 2021. ”Research community dynamics behind popular AI benchmarks”. Nature Machine Intelligence 3 (7): 581–89.
  124. Martinez-Vaquero, Luis A., Francisco C. Santos, och Vito Trianni. 2021. ”Signalling boosts the evolution of cooperation in repeated group interactions”. Journal of the Royal Society Interface 17 (172): 20200635. https://doi.org/10.1098/rsif.2020.0635.
  125. Mehta, Yash, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, och Frank Hutter. 2022. ”NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy”. I International Conference on Learning Representations.
  126. Meneguzzi, Felipe, och Ramon Fraga Pereira. 2021. ”A Survey on Goal Recognition as Planning”. I IJCAI.
  127. Metta, Carlo, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, och Salvatore Rinzivillo. 2021. ”Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling”. I IEEE Symposium on Computers and Communications, ISCC 2021, Athens, Greece, September 5-8, 2021, 1–7. IEEE. https://doi.org/10.1109/ISCC53001.2021.9631485.
  128. Micheli, Andrea, och Alessandro Valentini. 2021. ”Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning”. I AAAI.
  129. Mittelmann, Munyque, Andreas Herzig, och Laurent Perrussel. 2021. ”Epistemic Reasoning About Rationality and Bids in Auctions”. I Logics in Artificial Intelligence – 17th European Conference, JELIA 2021, Virtual Event, May 17-20, 2021, Proceedings, 12678:116–30. Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/978-3-030-75775-5_9.
  130. Montes, Nieves, Nardine Osman, och Carles Sierra. 2021. ”Enabling Game-Theoretical Analysis of Social Rules”. I CCIA, 339:90–99. Frontiers in Artificial Intelligence and Applications. IOS Press.
  131. Montes, Nieves, och Carles Sierra. 2020. ”Value-Alignment Equilibrium in Multiagent Systems”. I TAILOR, 12641:189–204. Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/978-3-030-73959-1_17.
  132. ———. 2021. ”Value-Guided Synthesis of Parametric Normative Systems”. I AAMAS, 907–15. ACM.
  133. Morettin, Paolo, Andrea Passerini, och Stefano Teso. 2021. ”Co-creating Platformer Levels with Constrained Adversarial Networks”. Workshop on Human-AI Co-Creation with Generative Models at IUI 2021.
  134. Morettin, Paolo, Pedro Zuidberg Dos Martires, Samuel Kolb, och Andrea Passerini. 2021. ”Hybrid probabilistic inference with logical and algebraic constraints: a survey”. I Proceedings of the 30th International Joint Conference on Artificial Intelligence.
  135. Numeroso, Danilo, och Davide Bacciu. 2021a. ”MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks”. CoRR abs/2104.08060.
  136. ———. 2021b. ”MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks”. CoRR abs/2104.08060. https://arxiv.org/abs/2104.08060.
  137. Oriol, Xavier, Giuseppe De Giacomo, Montserrat Estañol, och Ernest Teniente. 2021. ”Embedding Reactive Behavior into Artifact-centric Business Process Models”. FGCS 117: 97–110. https://doi.org/10.1016/j.future.2020.11.018.
  138. Ottervanger, Gilles, Mitra Baratchi, och Holger H. Hoos. 2021. ”MultiETSC: automated machine learning for early time series classification”. Data Min. Knowl. Discov. 35 (6): 2602–54.
  139. Oudshoorn, Menno, Timo Koppenberg, och Neil Yorke-Smith. 2021. ”Optimisation of Annual Planned Rail Maintenance”. Computer-Aided Civil and Infrastructure Engineering e-print ahead of press.
  140. Overwater, Arnold, och Neil Yorke-Smith. 2022. ”Agent-Based Simulation of Short-Term Peer-to-Peer Rentals: Evidence from the Amsterdam Housing Market”. Environment and Planning B: Urban Analytics and City Science 49 (1): 223–240.
  141. Panigutti, Cecilia, Alan Perotti, André Panisson, Paolo Bajardi, och Dino Pedreschi. 2021. ”FairLens: Auditing black-box clinical decision support systems”. Information Processing & Management 58 (5): 102657.
  142. Parr, Thomas, och Giovanni Pezzulo. 2021. ”Understanding, Explanation, and Active Inference”. Frontiers in Systems Neuroscience 15.
  143. Paterson-Jones, Guy, Giovanni Casini, och Thomas Meyer. 2021. ”A Boolean Extension of KLM-Style Conditional Reasoning”. I Southern African Conference for Artificial Intelligence Research, 236–52. Springer.
  144. Patrick Ferber, Jendrik Seipp. 2022. ”Explainable Planner Selection for Classical Planning”. I AAAI. AAAI Press.
  145. Pellegrini, Giovanni, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, och Manfred Jaeger. 2021. ”Learning Aggregation Functions”. I Proceedings of the 30th International Joint Conference on Artificial Intelligence.
  146. Pluciński, Kamil, och Hanna Klimczak. 2021. ”GHOST at SemEval-2021 Task 5: Is explanation all you need?” I Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), 852–59. Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.semeval-1.114.
  147. Pommerening, Florian, Thomas Keller, Valentina Halasi, Jendrik Seipp, Silvan Sievers, och Malte Helmert. 2021. ”Dantzig-Wolfe Decomposition for Cost Partitioning”. I ICAPS.
  148. Rajendran, Prajit T., Huáscar Espinoza, Agnès Delaborde, och Chokri Mraidha. 2022. ”Human-in-the-loop Learning for Safe Exploration through Anomaly Prediction and Intervention”. I SafeAI@AAAI. Vol. 3087. CEUR Workshop Proceedings. CEUR-WS.org.
  149. Rakotoarison, Herilalaina, Louisot Milijaona, Andry Rasoanaivo, Michèle Sebag, och Marc Schoenauer. 2021. ”Learning Meta-features for AutoML”. I International Conference on Learning Representations.
  150. Ramon Fraga Pereira, Felipe Meneguzzi, Nir Oren. 2021. ”Landmark-Based Approaches for Goal Recognition as Planning”. I ICAPS, Journal Track.
  151. Ramon Fraga Pereira, Giuseppe De Giacomo, Frederico Messa, Andre Grahl Pereira. 2022. ”Iterative Depth-First Search for Fully Observable Non-Deterministic Planning”. I ICAPS.
  152. Resta, Michele, Anna Monreale, och Davide Bacciu. 2021. ”Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals”. Entropy 23 (8).
  153. Rodriguez, Ivan D, Blai Bonet, Javier Romero, och Hector Geffner. 2021. ”Learning First-Order Representations for Planning from Black-Box States: New Results”. I KR.
  154. Rodriguez, Ivan D, Blai Bonet, Sebastian Sardiña, och Hector Geffner. 2021. ”Flexible FOND Planning with Explicit Fairness Assumptions”. I ICAPS, 31:290–98.
  155. Rodriguez-Soto, Manel, Maite López-Sánchez, och Juan A. Rodríguez-Aguilar. 2021. ”Multi-Objective Reinforcement Learning for Designing Ethical Environments”. I IJCAI, 545–51. ijcai.org.
  156. Ronca, Alessandro, och Giuseppe De Giacomo. 2021a. ”Efficient PAC Reinforcement Learning in Regular Decision Processes”. I IJCAI.
  157. ———. 2021b. ”Efficient PAC Reinforcement Learning in Regular Decision Processes”. I PRL Workshop.
  158. Ronca, Alessandro, Mark Kaminski, Bernardo Cuenca Grau, och Ian Horrocks. 2022. ”The Delay and Window Size Problems in Rule-Based Stream Reasoning”. Artificial Intelligence, 103668. https://doi.org/10.1016/j.artint.2022.103668.
  159. Santos, Luisa R. de A., Felipe Meneguzzi, Ramon Fraga Pereira, och Andre G. Pereira. 2021. ”An LP-Based Approach for Goal Recognition as Planning”. I AAAI.
  160. Segovia-Aguas, Javier, Sergio Jiménez, och Anders Jonsson. 2021. ”Generalized Planning as Heuristic Search”. I ICAPS, 31:569–77.
  161. Seipp, Jendrik. 2021. ”Online Saturated Cost Partitioning for Classical Planning”. I ICAPS.
  162. Seipp, Jendrik, Thomas Keller, och Malte Helmert. 2021. ”Saturated Post-hoc Optimization for Classical Planning”. I AAAI.
  163. Setzu, Mattia, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, och Fosca Giannotti. 2021. ”GLocalX – From Local to Global Explanations of Black Box AI Models”. Artif. Intell. 294: 103457. https://doi.org/10.1016/j.artint.2021.103457.
  164. Sievers, Silvan, och Malte Helmert. 2021. ”Merge-and-Shrink: A Compositional Theory of Transformations of Factored Transition Systems”. JAIR 71: 781–883.
  165. Sievers, Silvan, och Martin Wehrle. 2021. ”On Weak Stubborn Sets in Classical Planning”. I IJCAI, 4167–74.
  166. Singh, Anubhav, Nir Lipovetzky, Miquel Ramirez, och Javier Segovia-Aguas. 2021. ”Approximate Novelty Search”. I ICAPS, 31:349–57.
  167. Sokol, Kacper, och Peter Flach. 2021. ”You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source”. I Beyond static papers: Rethinking how we share scientific understanding in ML-ICLR 2021 workshop.
  168. Souza, Marcelo de, Marcus Ritt, Manuel López-Ibáñez, och Leslie Pérez Cáceres. 2021. ”ACVIZ: A tool for the visual analysis of the configuration of algorithms with irace”. Operations Research Perspectives 8: 100186. https://doi.org/10.1016/j.orp.2021.100186.
  169. Speck, David, och Jendrik Seipp. 2022. ”New Refinement Strategies for Cartesian Abstractions”. I ICAPS.
  170. Ståhlberg, Simon, Guillem Francès, och Jendrik Seipp. 2021. ”Learning Generalized Unsolvability Heuristics for Classical Planning”. I IJCAI, 4175–81.
  171. Suárez-Hernández, Alejandro, Javier Segovia-Aguas, Carme Torras, och Guillem Alenyà. 2021. ”Online Action Recognition”. I AAAI.
  172. Szeląg, M., och R. Słowiński. 2022. ”Dominance-based Rough Set Approach to Bank Customer Satisfaction Analysis”. I PP-RAI’2022, Proceedings of the 3rd Polish Conference on Artificial Intelligence, April 25-27, 2022, Gdynia, Poland, redigerad av P. Jędrzejowicz, I. Czarnowski, A. Skakovski, M. Forkiewicz, M. Szarmach, och P. Wolski, 147–50. Gdynia, Poland: Publishing House of Gdynia Maritime University.
  173. Telang, Pankaj R., Munindar P. Singh, och Neil Yorke-Smith. 2021. ”Maintenance of Social Commitments in Multiagent Systems”. I Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 11369–77. AAAI Press. https://ojs.aaai.org/index.php/AAAI/article/view/17355.
  174. Termos, Ali, Stefano Picascia, och Neil Yorke-Smith. 2021a. ”Agent-Based Simulation of West Asian Urban Dynamics: Impact of Refugees”. J. Artif. Soc. Soc. Simul. 24 (1). https://doi.org/10.18564/jasss.4472.
  175. ———. 2021b. ”Agent-Based Simulation of West Asian Urban Dynamics: Impact of Refugees”. J. Artif. Soc. Soc. Simul. 24 (1). https://doi.org/10.18564/jasss.4472.
  176. Termos, Ali, och Neil Yorke-Smith. 2022. ”Urbanism and Geographic Crises: A Micro-Simulation Lens on Beirut”. Urban Planning 7 (1): 87–100.
  177. Teso, Stefano, och Antonio Vergari. 2022. ”Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs”. The AAAI-22 Workshop on Interactive Machine Learning.
  178. Tianjiao Li, J, Qiuhong Ke, Hossein Rahmani, Rui En Ho, Henghui Ding. 2021. ”Else-Net: Elastic Semantic Network for Continual Action Recognition from Skeleton Data”. I International Conference on Computer Vision.
  179. Tiger, Mattias, David Bergström, Andreas Norrstig, och Fredrik Heintz. 2021. ”Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning”. IEEE Robotics and Automation Letters 6 (3): 4385–92.
  180. Torralba, Álvaro, Jendrik Seipp, och Silvan Sievers. 2021. ”Automatic Instance Generation for Classical Planning”. I ICAPS.
  181. Tschammer, Julian von, Robert Mattmüller, och David Speck. 2022. ”Loopless Top-k Planning”. I ICAPS.
  182. Umili, Elena, Emanuele Antonioni, Francesco Riccio, Roberto Capobianco, Daniele Nardi, och Giuseppe De Giacomo. 2021. ”Learning a Symbolic Planning Domain through the Interaction with Continuous Environments”. I PRL Workshop.
  183. V Policastro, I De Feis, D Righelli, A Carissimo, L. Cutillo. 2021. ”ROBustness In Network (robin): an R Package for Comparison and Validation of Communities”. The R Journal 13 (1): 292–309.
  184. Valenti, Andrea, Stefano Berti, och Davide Bacciu. 2021. ”Calliope – A Polyphonic Music Transformer”. CoRR abs/2107.05546. https://arxiv.org/abs/2107.05546.
  185. Vergari, Antonio, YooJung Choi, Anji Liu, Stefano Teso, och Guy Van den Broeck. 2021. ”A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-theoretic Queries”. I NeurIPS. Curran Associates.
  186. Viehmann, Tarik, Till Hofmann, och Gerhard Lakemeyer. 2021. ”Transforming Robotic Plans with Timed Automata to Solve Temporal Platform Constraints”. I IJCAI, 2083–89. ijcai.org.
  187. Xiao, Shengping, Jianwen Li, Shufang Zhu, Yingying Shi, Geguang Pu, och Moshe Vardi. 2021. ”On-the-fly Synthesis for LTL over Finite Traces”. I AAAI.
  188. Yan, Shen, Colin White, Yash Savani, och Frank Hutter. 2021. ”NAS-Bench-x11 and the Power of Learning Curves”. I Advances in Neural Information Processing Systems.
  189. Yang, Wen-Chi, Jean-François Raskin, och Luc De Raedt. 2021. ”Lifted Model Checking for Relational MDPs”. Machine Learning.
  190. Yilmaz, Kaan, och Neil Yorke-Smith. 2021. ”A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP”. AI 2 (2): 150–78.
  191. Zecevic, Matej, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, och Kristian Kersting. 2021. ”Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models”. I Advances in Neural Information Processing Systems.
  192. Zervakis, Georgios, Emmanuel Vincent, Miguel Couceiro, och Marc Schoenauer. 2021. ”On Refining BERT Contextualized Embeddings using Semantic Lexicons”. I ECML/PKDD2021 Workshop on Combination of Symbolic and Sub-symbolic Methods and their Applications. https://hal.archives-ouvertes.fr/hal-03318571.
  193. Zhu, Shufang, Lucas M. Tabajara, Geguang Pu, och Moshe Y. Vardi. 2021. ”On the Power of Automata Minimization in Temporal Synthesis”. I GandALF, 346:117–34. EPTCS.

Publications from the TAILOR project can be viewed on this dedicated Github page (opens in new tab).

TAILOR publications can also be found on OpenAire (opens in new tab).