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Alessandra Russo
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- affiliation: Imperial College London, UK
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Books and Theses
- 2010
- [b1]Dov M. Gabbay, Odinaldo Rodrigues, Alessandra Russo
:
Revision, Acceptability and Context - Theoretical and Algorithmic Aspects. Cognitive Technologies, Springer 2010, ISBN 978-3-642-14158-4, pp. I-X, 1-385 [contents]
Journal Articles
- 2023
- [j42]Daniel Cunnington
, Mark Law, Jorge Lobo, Alessandra Russo:
FFNSL: Feed-Forward Neural-Symbolic Learner. Mach. Learn. 112(2): 515-569 (2023) - [j41]Stefania Costantini
, Enrico Pontelli
, Alessandra Russo, Francesca Toni
:
Introduction to the 39th International Conference on Logic Programming Special Issue. Theory Pract. Log. Program. 23(4): 624-631 (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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2011
- [j20]Domenico Corapi, Alessandra Russo
, Marina De Vos
, Julian A. Padget
, Ken Satoh:
Normative design using inductive learning. Theory Pract. Log. Program. 11(4-5): 783-799 (2011) - 2010
- [j19]Hiroshi Hosobe, Ken Satoh, Jiefei Ma, Alessandra Russo
, Krysia Broda:
Speculative constraint processing for hierarchical agents. AI Commun. 23(4): 373-388 (2010) - [j18]Dalal Alrajeh, Jeff Kramer, Alessandra Russo
, Sebastián Uchitel
:
Deriving non-Zeno behaviour models from goal models using ILP. Formal Aspects Comput. 22(3-4): 217-241 (2010) - 2009
- [j17]Francesco Beritelli, Salvatore Casale, Alessandra Russo, Salvatore Serrano:
Adaptive V/UV Speech Detection Based on Characterization of Background Noise. EURASIP J. Audio Speech Music. Process. 2009 (2009) - [j16]Dalal Alrajeh, Oliver Ray, Alessandra Russo
, Sebastián Uchitel
:
Using abduction and induction for operational requirements elaboration. J. Appl. Log. 7(3): 275-288 (2009) - [j15]Marinos Charalambides
, Paris Flegkas, George Pavlou, Javier Rubio-Loyola, Arosha K. Bandara
, Emil C. Lupu
, Alessandra Russo
, Naranker Dulay, Morris Sloman
:
Policy conflict analysis for diffserv quality of service management. IEEE Trans. Netw. Serv. Manag. 6(1): 15-30 (2009) - 2008
- [j14]Jiefei Ma, Alessandra Russo
, Krysia Broda, Keith Clark:
DARE: a system for distributed abductive reasoning. Auton. Agents Multi Agent Syst. 16(3): 271-297 (2008) - [j13]Dov M. Gabbay, Odinaldo Rodrigues
, Alessandra Russo
:
Belief Revision in non-Classical Logics. Rev. Symb. Log. 1(3): 267-304 (2008) - 2007
- [j12]Salvatore Casale, Alessandra Russo, Salvatore Serrano:
Multistyle classification of speech under stress using feature subset selection based on genetic algorithms. Speech Commun. 49(10-11): 801-810 (2007) - 2006
- [j11]Arosha K. Bandara
, Emil C. Lupu, Alessandra Russo
, Naranker Dulay, Morris Sloman
, Paris Flegkas, Marinos Charalambides
, George Pavlou:
Policy refinement for IP differentiated services Quality of Service management. IEEE Trans. Netw. Serv. Manag. 3(2): 2-13 (2006) - 2004
- [j10]Oliver Ray, Krysia Broda, Alessandra Russo:
A Hybrid Abductive Inductive Proof Procedure. Log. J. IGPL 12(5): 371-397 (2004) - 2003
- [j9]Artur S. d'Avila Garcez, Alessandra Russo
, Bashar Nuseibeh, Jeff Kramer:
Combining abductive reasoning and inductive learning to evolve requirements specifications. IEE Proc. Softw. 150(1): 25-38 (2003) - 2002
- [j8]Krysia Broda, Dov M. Gabbay, Luís C. Lamb
, Alessandra Russo:
Labelled Natural Deduction for Conditional Logics of Normality. Log. J. IGPL 10(2): 123-163 (2002) - 2001
- [j7]Bashar Nuseibeh, Steve M. Easterbrook
, Alessandra Russo
:
Making inconsistency respectable in software development. J. Syst. Softw. 58(2): 171-180 (2001) - 2000
- [j6]Bashar Nuseibeh, Steve M. Easterbrook, Alessandra Russo
:
Leveraging Inconsistency in Software Development. Computer 33(4): 24-29 (2000) - 1999
- [j5]Bashar Nuseibeh, Alessandra Russo:
Using Abduction to Evolve Inconsistent Requirements Specification. Australas. J. Inf. Syst. 6(2) (1999) - [j4]Alessandra Russo
, Bashar Nuseibeh, Jeff Kramer:
Restructuring requirement specifications. IEE Proc. Softw. 146(1): 44-50 (1999) - [j3]Krysia Broda, Marcelo Finger, Alessandra Russo:
Labelled Natural Deduction for Substructural Logics. Log. J. IGPL 7(3): 283-318 (1999) - 1997
- [j2]Marcello D'Agostino
, Dov M. Gabbay, Alessandra Russo
:
Grafting Modalities onto Substructural Implication Systems. Stud Logica 59(1): 65-102 (1997) - 1992
- [j1]Fiorella de Rosis, Sebastiano Pizzutilo, Alessandra Russo, Dianne C. Berry, F. Javier Nicolau Molina:
Modeling the User Knowledge by Belief Networks. User Model. User Adapt. Interact. 2(4): 367-388 (1992)
Conference and Workshop Papers
- 2023
- [c131]Kexin Gu Baugh, Nuri Cingillioglu, Alessandra Russo:
Neuro-symbolic Rule Learning in Real-world Classification Tasks. AAAI Spring Symposium: MAKE 2023 - [c130]Leo Ardon
, Daniel Furelos-Blanco
, Alessandra Russo
:
Learning Reward Machines in Cooperative Multi-agent Tasks. AAMAS Workshops 2023: 43-59 - [c129]Vaishak Belle, Michael Fisher, Alessandra Russo, Ekaterina Komendantskaya, Alistair Nottle:
Neuro-Symbolic AI + Agent Systems: A First Reflection on Trends, Opportunities and Challenges. AAMAS Workshops 2023: 180-200 - [c128]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. CODASPY 2023: 263-272 - [c127]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Towards preserving word order importance through Forced Invalidation. EACL 2023: 2555-2562 - [c126]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Hierarchies of Reward Machines. ICML 2023: 10494-10541 - [c125]Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
Neuro-Symbolic Learning of Answer Set Programs from Raw Data. IJCAI 2023: 3586-3596 - [c124]Alexander Philipp Rader, Alessandra Russo:
Active Learning in Neurosymbolic AI with Embed2Sym. COGAI@IJCLR 2023 - [c123]Antonio Ielo
, Mark Law
, Valeria Fionda
, Francesco Ricca
, Giuseppe De Giacomo
, Alessandra Russo
:
Towards ILP-Based LTL f Passive Learning. ILP 2023: 30-45 - 2022
- [c122]David Tuckey, Krysia Broda, Alessandra Russo:
A Semantics For Probabilistic Answer Set Programs With Incomplete Stochastic Knowledge. ICLP Workshops 2022 - [c121]Mark Law, Krysia Broda, Alessandra Russo:
Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. IJCAI 2022: 2697-2704 - [c120]Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo:
Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract). IJCAI 2022: 5314-5318 - [c119]Yaniv Aspis, Krysia Broda, Jorge Lobo, Alessandra Russo:
Embed2Sym - Scalable Neuro-Symbolic Reasoning via Clustered Embeddings. KR 2022 - [c118]Harald Strömfelt, Luke Dickens, Artur S. d'Avila Garcez, Alessandra Russo:
Formalizing Consistency and Coherence of Representation Learning. NeurIPS 2022 - 2021
- [c117]Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
Inductive Learning of Complex Knowledge from Raw Data. TFSOCTAI@AAAI Fall Symposium 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 - 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 - 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. RW 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 - 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 - 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 - 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 - 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 - 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
- [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]Dalal Alrajeh, Jeff Kramer, Alessandra Russo
, Sebastián Uchitel
:
Learning from Vacuously Satisfiable Scenario-Based Specifications. FASE 2012: 377-393 - [c56]Duangtida Athakravi, Krysia Broda, Alessandra Russo
:
Predicate Invention in Inductive Logic Programming. ICCSW 2012: 15-21 - [c55]Luke Dickens, Ian M. Molloy, Jorge Lobo
, Pau-Chen Cheng, Alessandra Russo
:
Learning Stochastic Models of Information Flow. ICDE 2012: 570-581 - [c54]Dalal Alrajeh, Jeff Kramer, Axel van Lamsweerde, Alessandra Russo
, Sebastián Uchitel
:
Generating obstacle conditions for requirements completeness. ICSE 2012: 705-715 - [c53]Moritz Y. Becker, Alessandra Russo
, Nik Sultana:
Foundations of Logic-Based Trust Management. IEEE Symposium on Security and Privacy 2012: 161-175 - 2011
- [c52]Jiefei Ma, Alessandra Russo, Krysia Broda, Emil Lupu:
Multi-agent abductive reasoning with confidentiality. AAMAS 2011: 1137-1138 - [c51]Jorge Lobo
, Jiefei Ma, Alessandra Russo
, Emil Lupu
, Seraphin B. Calo, Morris Sloman
:
Refinement of History-Based Policies. Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning 2011: 280-299 - [c50]Domenico Corapi, Daniel Sykes, Katsumi Inoue
, Alessandra Russo
:
Probabilistic Rule Learning in Nonmonotonic Domains. CLIMA 2011: 243-258 - [c49]Robert Craven, Jorge Lobo, Emil Lupu, Alessandra Russo, Morris Sloman:
Policy refinement: Decomposition and operationalization for dynamic domains. CNSM 2011: 1-9 - [c48]Dalal Alrajeh, Jeff Kramer, Alessandra Russo, Sebastián Uchitel:
An Inductive Approach for Modal Transition System Refinement. ICLP (Technical Communications) 2011: 106-116 - [c47]Jiefei Ma, Alessandra Russo, Krysia Broda, Emil Lupu:
Multi-agent Confidential Abductive Reasoning. ICLP (Technical Communications) 2011: 175-186 - [c46]Andreas Markitanis, Domenico Corapi, Alessandra Russo
, Emil C. Lupu:
Learning User Behaviours in Real Mobile Domains. ILP (Late Breaking Papers) 2011: 43-51 - [c45]Dalal Alrajeh, Alessandra Russo
, Sebastián Uchitel
, Jeff Kramer:
Integrating Model Checking and Inductive Logic Programming. ILP 2011: 45-60 - [c44]Domenico Corapi, Alessandra Russo
, Emil Lupu
:
Inductive Logic Programming in Answer Set Programming. ILP 2011: 91-97 - 2010
- [c43]Domenico Corapi, Marina De Vos
, Julian A. Padget
, Alessandra Russo
, Ken Satoh:
Norm Refinement and Design through Inductive Learning. COIN@AAMAS&MALLOW 2010: 77-94 - [c42]Jiefei Ma, Alessandra Russo, Krysia Broda, Emil Lupu:
Distributed abductive reasoning with constraints. AAMAS 2010: 1381-1382 - [c41]Fabrizio Maria Maggi, Domenico Corapi, Alessandra Russo
, Emil Lupu
, Giuseppe Visaggio
:
Revising Process Models through Inductive Learning. Business Process Management Workshops 2010: 182-193 - [c40]Jiefei Ma, Krysia Broda, Randy Goebel, Hiroshi Hosobe, Alessandra Russo
, Ken Satoh:
Speculative Abductive Reasoning for Hierarchical Agent Systems. CLIMA 2010: 49-64 - [c39]Robert Craven, Jorge Lobo
, Emil C. Lupu
, Alessandra Russo
, Morris Sloman
:
Decomposition techniques for policy refinement. CNSM 2010: 72-79 - [c38]Jiefei Ma, Krysia Broda, Alessandra Russo
, Emil Lupu
:
Distributed Abductive Reasoning with Constraints. DALT 2010: 148-166 - [c37]Luke Dickens, Krysia Broda, Alessandra Russo:
The Dynamics of Multi-Agent Reinforcement Learning. ECAI 2010: 367-372 - [c36]Salvatore Casale, Alessandra Russo, Salvatore Serrano:
Analysis of robustness of attributes selection applied to speech emotion recognition. EUSIPCO 2010: 1174-1178 - [c35]Domenico Corapi, Alessandra Russo
, Emil Lupu:
Inductive Logic Programming as Abductive Search. ICLP (Technical Communications) 2010: 54-63 - [c34]Domenico Corapi, Marina De Vos, Julian A. Padget, Alessandra Russo, Ken Satoh:
Norm Refinement and Design through Inductive Learning. MALLOW 2010 - 2009
- [c33]Krysia Broda, Keith Clark, Rob Miller, Alessandra Russo
:
SAGE: A Logical Agent-Based Environment Monitoring and Control System. AmI 2009: 112-117 - [c32]Jiefei Ma, Alessandra Russo, Krysia Broda, Emil Lupu:
Multi-agent planning with confidentiality. AAMAS (2) 2009: 1275-1276 - [c31]Robert Craven, Jorge Lobo
, Jiefei Ma, Alessandra Russo
, Emil C. Lupu
, Arosha K. Bandara:
Expressive policy analysis with enhanced system dynamicity. AsiaCCS 2009: 239-250 - [c30]Jiefei Ma, Alessandra Russo
, Krysia Broda, Hiroshi Hosobe, Ken Satoh:
On the Implementation of Speculative Constraint Processing. CLIMA 2009: 178-195 - [c29]Dalal Alrajeh, Jeff Kramer, Alessandra Russo
, Sebastián Uchitel
:
Learning operational requirements from goal models. ICSE 2009: 265-275 - [c28]Domenico Corapi, Oliver Ray, Alessandra Russo
, Arosha K. Bandara
, Emil C. Lupu
:
Learning Rules from User Behaviour. AIAI 2009: 459-468 - [c27]Arosha K. Bandara
, Antonis C. Kakas
, Emil C. Lupu
, Alessandra Russo
:
Using argumentation logic for firewall configuration management. Integrated Network Management 2009: 180-187 - [c26]Tim Kimber, Krysia Broda, Alessandra Russo
:
Induction on Failure: Learning Connected Horn Theories. LPNMR 2009: 169-181 - [c25]Robert Craven, Jorge Lobo
, Emil Lupu
, Alessandra Russo
, Morris Sloman
:
Security policy refinement using data integration: a position paper. SafeConfig 2009: 25-28 - 2008
- [c24]Jiefei Ma, Krysia Broda, Alessandra Russo, Keith Clark:
A Dynamic System for Distributed Reasoning. AAAI Spring Symposium: Emotion, Personality, and Social Behavior 2008: 31-36 - [c23]Dalal Alrajeh, Alessandra Russo
, Sebastián Uchitel
:
Deriving Non-zeno Behavior Models from Goal Models Using ILP. FASE 2008: 1-15 - [c22]Salvatore Casale, Alessandra Russo, G. Scebba, Salvatore Serrano:
Speech Emotion Classification Using Machine Learning Algorithms. ICSC 2008: 158-165 - 2007
- [c21]Giuseppe Maraviglia, Marina Masi, Vincenzo Merlo, Francesco Licandro, Alessandra Russo, Giovanni Schembra
:
Synchronous multipoint E-learning realized on an intelligent software-router platform over unicast networks: Design and performance issues. ETFA 2007: 1172-1179 - [c20]Arosha K. Bandara
, Alessandra Russo
, Emil C. Lupu
:
Towards Learning Privacy Policies. POLICY 2007: 274 - 2006
- [c19]Arosha K. Bandara, Antonis C. Kakas, Emil C. Lupu, Alessandra Russo
:
Using Argumentation Logic for Firewall Policy Specification and Analysis. DSOM 2006: 185-196 - [c18]Salvatore Casale, Alessandra Russo, Salvatore Serrano:
Classification of speech under stress using features selected by genetic algorithms. EUSIPCO 2006: 1-5 - [c17]Dalal Alrajeh, Oliver Ray, Alessandra Russo
, Sebastián Uchitel:
Extracting Requirements from Scenarios with ILP. ILP 2006: 64-78 - [c16]Marinos Charalambides
, Paris Flegkas, George Pavlou, Javier Rubio-Loyola, Arosha K. Bandara
, Emil C. Lupu, Alessandra Russo
, Morris Sloman
, Naranker Dulay:
Dynamic Policy Analysis and Conflict Resolution for DiffServ Quality of Service Management. NOMS 2006: 294-304 - [c15]Dalal Alrajeh, Alessandra Russo
, Sebastián Uchitel
:
Inferring operational requirements from scenarios and goal models using inductive learning. SCESM 2006: 29-36 - 2005
- [c14]Krysia Broda, Alessandra Russo:
Compiled Labelled Deductive Systems for Access Control. We Will Show Them! (1) 2005: 309-338 - [c13]Arosha K. Bandara
, Emil C. Lupu
, Alessandra Russo
, Naranker Dulay, Morris Sloman
, Paris Flegkas, Marinos Charalambides
, George Pavlou:
Policy refinement for DiffServ quality of service management. Integrated Network Management 2005: 469-482 - [c12]William Heaven, Alessandra Russo:
Enhancing the Alloy Analyzer with Patterns of Analysis. WLPE 2005: 14-30 - [c11]Marinos Charalambides
, Paris Flegkas, George Pavlou, Arosha K. Bandara
, Emil C. Lupu, Alessandra Russo
, Naranker Dulay, Morris Sloman
, Javier Rubio-Loyola:
Policy Conflict Analysis for Quality of Service Management. POLICY 2005: 99-108 - 2004
- [c10]Oliver Ray, Krysia Broda, Alessandra Russo
:
Generalised Kernel Sets for Inverse Entailment. ICLP 2004: 165-179 - [c9]Arosha K. Bandara
, Emil Lupu, Jonathan D. Moffett, Alessandra Russo
:
A Goal-based Approach to Policy Refinement. POLICY 2004: 229-239 - [c8]Odinaldo Rodrigues, Artur S. d'Avila Garcez, Alessandra Russo
:
Reasoning About Requirements Evolution Using Clustered Belief Revision. SBIA 2004: 41-51 - 2003
- [c7]Oliver Ray, Krysia Broda, Alessandra Russo
:
Hybrid Abductive Inductive Learning: A Generalisation of Progol. ILP 2003: 311-328 - [c6]Arosha K. Bandara, Emil Lupu, Alessandra Russo
:
Using Event Calculus to Formalise Policy Specification and Analysis. POLICY 2003: 26- - 2002
- [c5]Alessandra Russo
, Rob Miller, Bashar Nuseibeh, Jeff Kramer:
An Abductive Approach for Analysing Event-Based Requirements Specifications. ICLP 2002: 22-37 - 2001
- [c4]Artur S. d'Avila Garcez, Alessandra Russo
, Bashar Nuseibeh, Jeff Kramer:
An Analysis-Revision Cycle to Evolve Requirements Specifications. ASE 2001: 354-358 - 1998
- [c3]Alessandra Russo, Bashar Nuseibeh, Jeff Kramer:
Restructuring Requirements Specifications For Managing Inconsistency And Change: A Case Study. ICRE 1998: 51- - [c2]Bashar Nuseibeh, Alessandra Russo:
On the Consequences of Acting in the Presence of Inconsistency. IWSSD 1998: 156-158 - 1996
- [c1]Alessandra Russo:
Generalising Propositional Modal Logic Using Labelled Deductive Systems. FroCoS 1996: 57-73
Editorship
- 2023
- [e6]Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Alice Gaggl, Roberta Calegari, Artur S. d'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo, Francesca Toni:
Proceedings 39th International Conference on Logic Programming, ICLP 2023, Imperial College London, UK, 9th July 2023 - 15th July 2023. EPTCS 385, 2023 [contents] - 2020
- [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] - 2019
- [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] - 2018
- [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] - 2017
- [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]
Informal and Other Publications
- 2024
- [i39]Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. CoRR abs/2402.01889 (2024) - [i38]Charles Pert, Dalal Alrajeh, Alessandra Russo:
ω-regular Expression Synthesis from Transition-Based Büchi Automata. CoRR abs/2406.08136 (2024) - 2023
- [i37]Leo Ardon, Daniel Furelos-Blanco, Alessandra Russo:
Learning Reward Machines in Cooperative Multi-Agent Tasks. CoRR abs/2303.14061 (2023) - [i36]Kexin Gu Baugh, Nuri Cingillioglu, Alessandra Russo:
Neuro-symbolic Rule Learning in Real-world Classification Tasks. CoRR abs/2303.16674 (2023) - [i35]Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Towards preserving word order importance through Forced Invalidation. CoRR abs/2304.05221 (2023) - [i34]Rakhilya Lee Mekhtieva, Brandon Forbes, Dalal Alrajeh, Brendan Delaney, Alessandra Russo:
RECAP-KG: Mining Knowledge Graphs from Raw GP Notes for Remote COVID-19 Assessment in Primary Care. CoRR abs/2306.17175 (2023) - [i33]Amrit Diggavi Seshadri, Alessandra Russo:
Reasoning over the Behaviour of Objects in Video-Clips for Adverb-Type Recognition. CoRR abs/2307.04132 (2023) - [i32]Theo Charalambous, Yaniv Aspis, Alessandra Russo:
NeuralFastLAS: Fast Logic-Based Learning from Raw Data. CoRR abs/2310.05145 (2023) - [i31]Zlatina Mileva, Antonis Bikakis, Fabio Aurelio D'Asaro, Mark Law, Alessandra Russo:
A Unifying Framework for Learning Argumentation Semantics. CoRR abs/2310.12309 (2023) - 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
- [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
- [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) - 2019
- [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
- [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
- [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
- [i4]Mark Law, Alessandra Russo, Krysia Broda:
Iterative Learning of Answer Set Programs from Context Dependent Examples. CoRR abs/1608.01946 (2016) - 2015
- [i3]Mark Law, Alessandra Russo, Krysia Broda:
Learning Weak Constraints in Answer Set Programming. CoRR abs/1507.06566 (2015) - 2011
- [i2]Domenico Corapi, Alessandra Russo, Marina De Vos, Julian A. Padget, Ken Satoh:
Normative design using inductive learning. CoRR abs/1107.4967 (2011) - 2005
- [i1]William Heaven, Alessandra Russo:
Enhancing the Alloy Analyzer with Patterns of Analysis. CoRR abs/cs/0508109 (2005)
Coauthor Index
aka: Emil Lupu
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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