Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAlessandra Russo
Person information
- affiliation: Imperial College London, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j41]Daniel Cunnington
, Mark Law, Jorge Lobo, Alessandra Russo:
FFNSL: Feed-Forward Neural-Symbolic Learner. Mach. Learn. 112(2): 515-569 (2023)- 2022
- [j40]Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo:
Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework. Mach. Learn. 111(4): 1523-1549 (2022) - [c120]David Tuckey, Krysia Broda, Alessandra Russo:
A Semantics For Probabilistic Answer Set Programs With Incomplete Stochastic Knowledge. ICLP Workshops 2022 - [c119]Mark Law, Krysia Broda, Alessandra Russo:
Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. IJCAI 2022: 2697-2704 - [c118]Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo:
Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract). IJCAI 2022: 5314-5318 - [c117]Yaniv Aspis, Krysia Broda, Jorge Lobo, Alessandra Russo:
Embed2Sym - Scalable Neuro-Symbolic Reasoning via Clustered Embeddings. KR 2022 - [i30]Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
Inductive Learning of Complex Knowledge from Raw Data. CoRR abs/2205.12735 (2022) - [i29]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Hierarchies of Reward Machines. CoRR abs/2205.15752 (2022) - [i28]Jeya Vikranth Jeyakumar, Luke Dickens, Luis Garcia, Yu-Hsi Cheng, Diego Ramirez-Echavarria, Joseph Noor, Alessandra Russo, Lance M. Kaplan, Erik Blasch, Mani B. Srivastava:
Automatic Concept Extraction for Concept Bottleneck-based Video Classification. CoRR abs/2206.10129 (2022) - [i27]Alex F. Spies, Alessandra Russo, Murray Shanahan:
Sparse Relational Reasoning with Object-Centric Representations. CoRR abs/2207.07512 (2022) - 2021
- [j39]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. J. Artif. Intell. Res. 70: 1031-1116 (2021) - [c116]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Discrete Reasoning Templates for Natural Language Understanding. EACL (Student Research Workshop) 2021: 80-87 - [c115]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Numerical reasoning in machine reading comprehension tasks: are we there yet? EMNLP (1) 2021: 9643-9649 - [c114]Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo, Lance M. Kaplan:
Towards Neural-Symbolic Learning to support Human-Agent Operations. FUSION 2021: 1-8 - [c113]Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino:
Scalable Non-observational Predicate Learning in ASP. IJCAI 2021: 1936-1943 - [c112]Nuri Cingillioglu, Alessandra Russo:
pix2rule: End-to-end Neuro-symbolic Rule Learning. NeSy 2021: 15-56 - [c111]Harald Strömfelt, Luke Dickens, Artur S. d'Avila Garcez, Alessandra Russo:
Coherent and Consistent Relational Transfer Learning with Auto-encoders. NeSy 2021: 176-192 - [c110]Arthur Drozdov, Mark Law, Jorge Lobo, Alessandra Russo, Mercion Wilathgamuwage Don:
Online Symbolic Learning of Policies for Explainable Security. TPS-ISA 2021: 269-278 - [i26]Théophile Sautory, Nuri Cingillioglu, Alessandra Russo:
HySTER: A Hybrid Spatio-Temporal Event Reasoner. CoRR abs/2101.06644 (2021) - [i25]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Discrete Reasoning Templates for Natural Language Understanding. CoRR abs/2104.02115 (2021) - [i24]David Tuckey, Alessandra Russo, Krysia Broda:
PASOCS: A Parallel Approximate Solver for Probabilistic Logic Programs under the Credal Semantics. CoRR abs/2105.10908 (2021) - [i23]Nuri Cingillioglu, Alessandra Russo:
pix2rule: End-to-end Neuro-symbolic Rule Learning. CoRR abs/2106.07487 (2021) - [i22]Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo:
FF-NSL: Feed-Forward Neural-Symbolic Learner. CoRR abs/2106.13103 (2021) - [i21]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Numerical reasoning in machine reading comprehension tasks: are we there yet? CoRR abs/2109.08207 (2021) - 2020
- [j38]Giuliano Casale, Matej Artac, Willem-Jan van den Heuvel, André van Hoorn, Pelle Jakovits, Frank Leymann, M. Long, V. Papanikolaou, Domenico Presenza, Alessandra Russo, Satish Narayana Srirama, Damian A. Tamburri, Michael Wurster, Lulai Zhu:
RADON: rational decomposition and orchestration for serverless computing. SICS Softw.-Intensive Cyber Phys. Syst. 35(1-2): 77-87 (2020) - [j37]Alessandra Russo, Andy Schürr:
Model-based software quality assurance tools and techniques presented at FASE 2018. Int. J. Softw. Tools Technol. Transf. 22(1): 1-2 (2020) - [j36]Francesco Ricca, Alessandra Russo:
Introduction to the 36th International Conference on Logic Programming Special Issue I. Theory Pract. Log. Program. 20(5): 587-592 (2020) - [j35]Francesco Ricca, Alessandra Russo:
Introduction to the 36th International Conference on Logic Programming Special Issue II. Theory Pract. Log. Program. 20(6): 815-817 (2020) - [c109]Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo:
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria. AAAI 2020: 2877-2885 - [c108]Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson:
Induction of Subgoal Automata for Reinforcement Learning. AAAI 2020: 3890-3897 - [c107]Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone:
Learning Neural Search Policies for Classical Planning. ICAPS 2020: 522-530 - [c106]Amani Abu Jabal, Elisa Bertino, Jorge Lobo, Mark Law, Alessandra Russo, Seraphin B. Calo, Dinesh C. Verma:
Polisma - A Framework for Learning Attribute-Based Access Control Policies. ESORICS (1) 2020: 523-544 - [c105]Shuang Xia, Krysia Broda, Alessandra Russo:
Topical Neural Theorem Prover that Induces Rules. GCAI 2020: 107-120 - [c104]David Tuckey, Krysia Broda, Alessandra Russo:
Towards Structure Learning under the Credal Semantics. ICLP Workshops 2020 - [c103]Yaniv Aspis, Krysia Broda, Alessandra Russo, Jorge Lobo:
Stable and Supported Semantics in Continuous Vector Spaces. KR 2020: 59-68 - [c102]Nuri Cingillioglu, Alessandra Russo:
Learning Invariants through Soft Unification. NeurIPS 2020 - [c101]Jorge Lobo, Elisa Bertino, Alessandra Russo:
On Security Policy Migrations. SACMAT 2020: 179-188 - [e5]Francesco Ricca, Alessandra Russo, Sergio Greco, Nicola Leone, Alexander Artikis, Gerhard Friedrich, Paul Fodor, Angelika Kimmig, Francesca A. Lisi, Marco Maratea, Alessandra Mileo, Fabrizio Riguzzi:
Proceedings 36th International Conference on Logic Programming (Technical Communications), ICLP Technical Communications 2020, (Technical Communications) UNICAL, Rende (CS), Italy, 18-24th September 2020. EPTCS 325, 2020 [contents] - [i20]David Tuckey, Alessandra Russo, Krysia Broda:
A general framework for scientifically inspired explanations in AI. CoRR abs/2003.00749 (2020) - [i19]Mark Law, Alessandra Russo, Krysia Broda:
The ILASP system for Inductive Learning of Answer Set Programs. CoRR abs/2005.00904 (2020) - [i18]Daniel Pace, Alessandra Russo, Murray Shanahan:
Learning Diverse Representations for Fast Adaptation to Distribution Shift. CoRR abs/2006.07119 (2020) - [i17]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. CoRR abs/2009.03855 (2020) - [i16]Amani Abu Jabal, Elisa Bertino, Jorge Lobo, Dinesh C. Verma, Seraphin B. Calo, Alessandra Russo:
FLAP - A Federated Learning Framework for Attribute-based Access Control Policies. CoRR abs/2010.09767 (2020) - [i15]Harald Strömfelt, Luke Dickens, Artur S. d'Avila Garcez, Alessandra Russo:
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision. CoRR abs/2011.07137 (2020) - [i14]Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance M. Kaplan:
NSL: Hybrid Interpretable Learning From Noisy Raw Data. CoRR abs/2012.05023 (2020)
2010 – 2019
- 2019
- [j34]Amani Abu Jabal, Maryam Davari, Elisa Bertino, Christian Makaya, Seraphin B. Calo, Dinesh C. Verma, Alessandra Russo, Christopher Williams:
Methods and Tools for Policy Analysis. ACM Comput. Surv. 51(6): 121:1-121:35 (2019) - [j33]Alessandra Russo, Andy Schürr, Heike Wehrheim:
Editorial. Formal Aspects Comput. 31(5): 457-458 (2019) - [c100]Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo:
Representing and Learning Grammars in Answer Set Programming. AAAI 2019: 2919-2928 - [c99]Nuri Cingillioglu, Alessandra Russo:
DeepLogic: Towards End-to-End Differentiable Logical Reasoning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - [c98]Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo:
Learning Classical Planning Strategies with Policy Gradient. ICAPS 2019: 637-645 - [c97]Daniel Cunnington, Mark Law, Alessandra Russo, Elisa Bertino, Seraphin B. Calo:
Towards a Neural-Symbolic Generative Policy Model. IEEE BigData 2019: 4008-4016 - [c96]Dinesh C. Verma, Seraphin B. Calo, Elisa Bertino, Alessandra Russo, Graham White:
Policy based Ensembles for applying ML on Big Data. IEEE BigData 2019: 4038-4044 - [c95]Elisa Bertino, Graham White, Jorge Lobo, John Ingham, Gregory H. Cirincione, Alessandra Russo, Mark Law, Seraphin B. Calo, Irene Manotas, Dinesh C. Verma, Amani Abu Jabal, Daniel Cunnington, Geeth de Mel:
Generative Policies for Coalition Systems - A Symbolic Learning Framework. ICDCS 2019: 1590-1600 - [c94]Graham White, Daniel Cunnington, Mark Law, Elisa Bertino, Geeth de Mel, Alessandra Russo:
A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy Models. ICMLA 2019: 1314-1321 - [c93]Daniel Cunnington, Irene Manotas, Mark Law, Geeth de Mel, Seraphin B. Calo, Elisa Bertino, Alessandra Russo:
A Generative Policy Model for Connected and Autonomous Vehicles. ITSC 2019: 1558-1565 - [c92]Mark Law, Alessandra Russo, Krysia Broda:
Logic-Based Learning of Answer Set Programs. Reasoning Web 2019: 196-231 - [c91]Graham White, John Ingham, Mark Law, Alessandra Russo:
Using an ASG Based Generative Policy to Model Human Rules. SMARTCOMP 2019: 99-103 - [e4]Marlon Dumas, Dietmar Pfahl, Sven Apel, Alessandra Russo:
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 26-30, 2019. ACM 2019, ISBN 978-1-4503-5572-8 [contents] - [i13]David Tuckey, Krysia Broda, Alessandra Russo:
Saliency Maps Generation for Automatic Text Summarization. CoRR abs/1907.05664 (2019) - [i12]Nuri Cingillioglu, Alessandra Russo:
Learning Invariants through Soft Unification. CoRR abs/1909.07328 (2019) - [i11]Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone:
Learning Neural Search Policies for Classical Planning. CoRR abs/1911.12200 (2019) - [i10]Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson:
Induction of Subgoal Automata for Reinforcement Learning. CoRR abs/1911.13152 (2019) - 2018
- [j32]Mark Law, Alessandra Russo, Krysia Broda:
The complexity and generality of learning answer set programs. Artif. Intell. 259: 110-146 (2018) - [j31]James Cussens, Alessandra Russo:
Preface to the special issue on inductive logic programming. Mach. Learn. 107(7): 1095-1096 (2018) - [c90]Dalal Alrajeh, Alessandra Russo:
Logic-Based Learning: Theory and Application. Machine Learning for Dynamic Software Analysis 2018: 219-256 - [c89]Seraphin B. Calo, Irene Manotas, Geeth de Mel, Daniel Cunnington, Mark Law, Dinesh C. Verma, Alessandra Russo, Elisa Bertino:
AGENP: An ASGrammar-based GENerative Policy Framework. PADG@ESORICS 2018: 3-20 - [c88]Benjamin Wu, Alessandra Russo, Mark Law, Katsumi Inoue:
Learning Commonsense Knowledge Through Interactive Dialogue. ICLP (Technical Communications) 2018: 12:1-12:19 - [c87]Yaniv Aspis, Krysia Broda, Alessandra Russo:
Tensor-Based Abduction in Horn Propositional Programs. ILP Up-and-Coming / Short Papers 2018: 68-75 - [e3]Alessandra Russo, Andy Schürr:
Fundamental Approaches to Software Engineering, 21st International Conference, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Thessaloniki, Greece, April 14-20, 2018, Proceedings. Lecture Notes in Computer Science 10802, Springer 2018, ISBN 978-3-319-89362-4 [contents] - [i9]Nuri Cingillioglu, Alessandra Russo:
DeepLogic: End-to-End Logical Reasoning. CoRR abs/1805.07433 (2018) - [i8]Mark Law, Alessandra Russo, Krysia Broda:
Inductive Learning of Answer Set Programs from Noisy Examples. CoRR abs/1808.08441 (2018) - [i7]Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo:
Learning Classical Planning Strategies with Policy Gradient. CoRR abs/1810.09923 (2018) - 2017
- [j30]Windhya Rankothge, Franck Le, Alessandra Russo, Jorge Lobo:
Optimizing Resource Allocation for Virtualized Network Functions in a Cloud Center Using Genetic Algorithms. IEEE Trans. Netw. Serv. Manag. 14(2): 343-356 (2017) - [c86]Elisa Bertino, Geeth de Mel, Alessandra Russo, Seraphin B. Calo, Dinesh C. Verma:
Community-based self generation of policies and processes for assets: Concepts and research directions. IEEE BigData 2017: 2961-2969 - [c85]Piotr Chabierski, Alessandra Russo, Mark Law, Krysia Broda:
Machine Comprehension of Text Using Combinatory Categorial Grammar and Answer Set Programs. COMMONSENSE 2017 - [c84]Yasmin Rafiq, Luke Dickens, Alessandra Russo, Arosha K. Bandara, Mu Yang, Avelie Stuart, Mark Levine, Gul Calikli, Blaine A. Price, Bashar Nuseibeh:
Learning to share: engineering adaptive decision-support for online social networks. ASE 2017: 280-285 - [e2]James Cussens, Alessandra Russo:
Proceedings of the 26th International Conference on Inductive Logic Programming (Short papers), London, UK, 2016. CEUR Workshop Proceedings 1865, CEUR-WS.org 2017 [contents] - [e1]James Cussens, Alessandra Russo:
Inductive Logic Programming - 26th International Conference, ILP 2016, London, UK, September 4-6, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10326, Springer 2017, ISBN 978-3-319-63341-1 [contents] - [i6]Windhya Rankothge, Franck Le, Alessandra Russo, Jorge Lobo:
Data Modelling for the Evaluation of Virtualized Network Functions Resource Allocation Algorithms. CoRR abs/1702.00369 (2017) - [i5]Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone:
Towards learning domain-independent planning heuristics. CoRR abs/1707.06895 (2017) - 2016
- [j29]Calin-Rares Turliuc, Luke Dickens, Alessandra Russo, Krysia Broda:
Probabilistic abductive logic programming using Dirichlet priors. Int. J. Approx. Reason. 78: 223-240 (2016) - [j28]Jiefei Ma, Franck Le, Alessandra Russo, Jorge Lobo:
Declarative Framework for Specification, Simulation and Analysis of Distributed Applications. IEEE Trans. Knowl. Data Eng. 28(6): 1489-1502 (2016) - [j27]Mark Law, Alessandra Russo, Krysia Broda:
Iterative Learning of Answer Set Programs from Context Dependent Examples. Theory Pract. Log. Program. 16(5-6): 834-848 (2016) - [c83]Antonis Bikakis, Patrice Caire, Keith Clark, Gary Cornelius, Jiefei Ma, Rob Miller, Alessandra Russo, Holger Voos:
Collaborative Explanation and Response in Assisted Living Environments Enhanced with Humanoid Robots. ICAART (2) 2016: 506-511 - [c82]Gül Çalikli, Mark Law, Arosha K. Bandara, Alessandra Russo, Luke Dickens, Blaine A. Price, Avelie Stuart, Mark Levine, Bashar Nuseibeh:
Privacy dynamics: learning privacy norms for social software. SEAMS@ICSE 2016: 47-56 - [c81]Dalal Alrajeh, Axel van Lamsweerde, Jeff Kramer, Alessandra Russo, Sebastián Uchitel:
Risk-driven revision of requirements models. ICSE 2016: 855-865 - [c80]Dalal Alrajeh, Alessandra Russo, Sebastián Uchitel, Jeff Kramer:
Logic-based learning in software engineering. ICSE (Companion Volume) 2016: 892-893 - [c79]Hadeel Al-Negheimish, Alessandra Russo:
Reduction of ILP Search Space with Bottom-Up Propositionalisation. ILP (Short Papers) 2016: 1-7 - [c78]Stanislav Dragiev, Alessandra Russo, Krysia Broda, Mark Law, Calin-Rares Turliuc:
An Abductive-Inductive Algorithm for Probabilistic Inductive Logic Programming. ILP (Short Papers) 2016: 20-26 - [i4]Mark Law, Alessandra Russo, Krysia Broda:
Iterative Learning of Answer Set Programs from Context Dependent Examples. CoRR abs/1608.01946 (2016) - 2015
- [j26]Dalal Alrajeh, Jeff Kramer, Alessandra Russo, Sebastián Uchitel:
Automated support for diagnosis and repair. Commun. ACM 58(2): 65-72 (2015) - [j25]Mark Law, Alessandra Russo, Krysia Broda:
Learning weak constraints in answer set programming. Theory Pract. Log. Program. 15(4-5): 511-525 (2015) - [c77]Calin-Rares Turliuc, Luke Dickens, Alessandra Russo, Krysia Broda:
Probabilistic Abductive Logic Programming using Dirichlet Priors. PLP@ICLP 2015: 85-98 - [c76]Windhya Rankothge, Jiefei Ma, Franck Le, Alessandra Russo, Jorge Lobo:
Towards making network function virtualization a cloud computing service. IM 2015: 89-97 - [c75]Jiefei Ma, Franck Le, Alessandra Russo, Jorge Lobo:
Detecting distributed signature-based intrusion: The case of multi-path routing attacks. INFOCOM 2015: 558-566 - [c74]Graham Deane, Krysia Broda, Alessandra Russo:
Reasoning in the presence of inconsistency through Preferential ALC. LPAR (short papers) 2015: 67-80 - [c73]Duangtida Athakravi, Ken Satoh, Mark Law, Krysia Broda, Alessandra Russo:
Automated Inference of Rules with Exception from Past Legal Cases Using ASP. LPNMR 2015: 83-96 - [c72]Windhya Rankothge, Franck Le, Alessandra Russo, Jorge Lobo:
Experimental results on the use of genetic algorithms for scaling virtualized network functions. NFV-SDN 2015: 47-53 - [c71]Antonio Bucchiarone, Naranker Dulay, Anna Lavygina, Annapaola Marconi, Heorhi Raik, Alessandra Russo:
An Approach for Collective Adaptation in Socio-Technical Systems. SASO Workshops 2015: 43-48 - [c70]Anna Lavygina, Alessandra Russo, Naranker Dulay:
Integrating Privacy and Safety Criteria into Planning Tasks. STM 2015: 20-36 - [i3]Mark Law, Alessandra Russo, Krysia Broda:
Learning Weak Constraints in Answer Set Programming. CoRR abs/1507.06566 (2015) - 2014
- [c69]Jeremiah Smith, Anna Lavygina, Alessandra Russo, Naranker Dulay:
When did your smartphone bother you last? UbiComp Adjunct 2014: 409-414 - [c68]Duangtida Athakravi, Dalal Alrajeh, Krysia Broda, Alessandra Russo, Ken Satoh:
Inductive Learning Using Constraint-Driven Bias. ILP 2014: 16-32 - [c67]Mark Law, Alessandra Russo, Krysia Broda:
Inductive Learning of Answer Set Programs. JELIA 2014: 311-325 - [c66]Jeremiah Smith, Anna Lavygina, Jiefei Ma, Alessandra Russo, Naranker Dulay:
Learning to recognise disruptive smartphone notifications. Mobile HCI 2014: 121-124 - 2013
- [j24]Sebastián Uchitel, Dalal Alrajeh, Shoham Ben-David, Víctor A. Braberman, Marsha Chechik, Guido de Caso, Nicolás D'Ippolito, Dario Fischbein, Diego Garbervetsky, Jeff Kramer, Alessandra Russo, German E. Sibay:
Supporting incremental behaviour model elaboration. Comput. Sci. Res. Dev. 28(4): 279-293 (2013) - [j23]Dalal Alrajeh, Rob Miller, Alessandra Russo, Sebastián Uchitel:
Reasoning about Triggered Scenarios in Logic Programming. Theory Pract. Log. Program. 13(4-5-Online-Supplement) (2013) - [j22]Jiefei Ma, Franck Le, David Wood, Alessandra Russo, Jorge Lobo:
A declarative approach to distributed computing: Specification, execution and analysis. Theory Pract. Log. Program. 13(4-5): 815-830 (2013) - [j21]Dalal Alrajeh, Jeff Kramer, Alessandra Russo, Sebastián Uchitel:
Elaborating Requirements Using Model Checking and Inductive Learning. IEEE Trans. Software Eng. 39(3): 361-383 (2013) - [c65]Daniel Sykes, Domenico Corapi, Jeff Magee, Jeff Kramer, Alessandra Russo, Katsumi Inoue:
Learning revised models for planning in adaptive systems. ICSE 2013: 63-71 - [c64]Dalal Alrajeh, Alessandra Russo, James Lockerbie, Neil A. M. Maiden, Alistair Mavin, Mark Novak:
Computational alignment of goals and scenarios for complex systems. ICSE 2013: 1249-1252 - [c63]Duangtida Athakravi, Domenico Corapi, Krysia Broda, Alessandra Russo:
Learning Through Hypothesis Refinement Using Answer Set Programming. ILP 2013: 31-46 - [c62]Calin-Rares Turliuc, Nataly Maimari, Alessandra Russo, Krysia Broda:
On Minimality and Integrity Constraints in Probabilistic Abduction. LPAR 2013: 759-775 - 2012
- [c61]Duangtida Athakravi, Domenico Corapi, Alessandra Russo, Marina De Vos, Julian A. Padget, Ken Satoh:
Handling change in normative specifications. AAMAS 2012: 1369-1370 - [c60]Jorge Lobo, Jiefei Ma, Alessandra Russo, Franck Le:
Declarative Distributed Computing. Correct Reasoning 2012: 454-470 - [c59]Ian M. Molloy, Luke Dickens, Charles Morisset, Pau-Chen Cheng, Jorge Lobo, Alessandra Russo:
Risk-based security decisions under uncertainty. CODASPY 2012: 157-168 - [c58]Duangtida Athakravi, Domenico Corapi, Alessandra Russo, Marina De Vos, Julian A. Padget, Ken Satoh:
Handling Change in Normative Specifications. DALT 2012: 1-19 - [c57]