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ORCIDAlessandra Russo
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- affiliation: Imperial College London, UK
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2020 – today
- 2024
[c136]Julian de Gortari Briseno, Roko Parac, Leo Ardon, Marc Roig Vilamala, Daniel Furelos-Blanco, Lance M. Kaplan, Vinod K. Mishra, Federico Cerutti, Alun D. Preece, Alessandra Russo, Mani B. Srivastava:
TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action. FUSION 2024: 1-8- [c135]Irfan Kareem, Katie Gallagher, Manuel A. Borroto, Francesco Ricca, Alessandra Russo:
Using Learning from Answer Sets for Robust Question Answering with LLM. LPNMR 2024: 112-125 - [c134]Talissa Dreossi, Agostino Dovier, Andrea Formisano, Mark Law, Agostino Manzato, Alessandra Russo, Matthew Tait:
Towards Explainable Weather Forecasting Through FastLAS. LPNMR 2024: 262-275 - [c133]Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. NeSy (1) 2024: 84-100 - [c132]Yaniv Aspis, Mohammad Albinhassan, Jorge Lobo, Alessandra Russo:
Embed2Rule Scalable Neuro-Symbolic Learning via Latent Space Weak-Labelling. NeSy (1) 2024: 195-218 - [i41]Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo:
The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. CoRR abs/2402.01889 (2024) - [i40]Charles Pert, Dalal Alrajeh, Alessandra Russo:
ω-regular Expression Synthesis from Transition-Based Büchi Automata. CoRR abs/2406.08136 (2024) - [i39]Roko Parac, Lorenzo Nodari, Leo Ardon, Daniel Furelos-Blanco, Federico Cerutti, Alessandra Russo:
Learning Robust Reward Machines from Noisy Labels. CoRR abs/2408.14871 (2024) - [i38]Zihang Peng, Daria Stepanova, Vinh Thinh Ho, Heike Adel, Alessandra Russo, Simon Ott:
Learning Rules from KGs Guided by Language Models. CoRR abs/2409.07869 (2024) - 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) - [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 - [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] - [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
- [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) - [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 - [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) - [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 - [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. 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 - [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]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
- [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) - [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 - [i2]Domenico Corapi, Alessandra Russo, Marina De Vos, Julian A. Padget, Ken Satoh:
Normative design using inductive learning. CoRR abs/1107.4967 (2011) - 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] - [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) - [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
2000 – 2009
- 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) - [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
- [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) - [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
- [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) - [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
- [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) - [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 - [i1]William Heaven, Alessandra Russo:
Enhancing the Alloy Analyzer with Patterns of Analysis. CoRR abs/cs/0508109 (2005) - 2004
- [j10]Oliver Ray, Krysia Broda, Alessandra Russo:
A Hybrid Abductive Inductive Proof Procedure. Log. J. IGPL 12(5): 371-397 (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
- [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) - [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
- [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) - [c5]Alessandra Russo, Rob Miller, Bashar Nuseibeh, Jeff Kramer:
An Abductive Approach for Analysing Event-Based Requirements Specifications. ICLP 2002: 22-37 - 2001
- [j7]Bashar Nuseibeh, Steve M. Easterbrook, Alessandra Russo:
Making inconsistency respectable in software development. J. Syst. Softw. 58(2): 171-180 (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 - 2000
- [j6]Bashar Nuseibeh, Steve M. Easterbrook, Alessandra Russo:
Leveraging Inconsistency in Software Development. Computer 33(4): 24-29 (2000)
1990 – 1999
- 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) - 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 - 1997
- [j2]Marcello D'Agostino, Dov M. Gabbay, Alessandra Russo:
Grafting Modalities onto Substructural Implication Systems. Stud Logica 59(1): 65-102 (1997) - 1996
- [c1]Alessandra Russo:
Generalising Propositional Modal Logic Using Labelled Deductive Systems. FroCoS 1996: 57-73 - 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)
Coauthor Index
[c126] [c122] [c121] [c119] [i29] [j39] [c113] [i24] [c109] [c108] [c105] [c104] [c103] [i20] [i19] [i17] [c100] [c92] [i13] [i10] [j32] [c87] [i8] [c85] [j29] [j27] [c78] [i4] [j25] [c77] [c74] [c73] [i3] [c68] [c67] [c63] [c62] [c56] [c52] [c47] [j19] [c42] [c40] [c38] [c37] [c33] [c32] [c30] [c26] [j14] [c24] [c14] [j10] [c10] [c7] [j8] [j3]
Emil C. Lupu
aka: Emil Lupu
aka: Emil Lupu
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