Alessandra Russo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
81
Venues
33
Active years
2002–2026
Best venue rank
A*
Where they publish
- BILP11 papers
- BICLP9 papers
- A*ICSE7 papers
- CNeSy5 papers
- A*AAAI4 papers
- BLPNMR4 papers
- A*IJCAI4 papers
- A*KR3 papers
- BIM3 papers
- A*ACL2 papers
- CFUSION2 papers
- AEACL2 papers
- AESORICS2 papers
- BLPAR2 papers
- BFASE2 papers
- BCNSM2 papers
- A*ICML1 paper
- A*EMNLP1 paper
- CSACMAT1 paper
- AICDCS1 paper
- CICMLA1 paper
- BSmartComp1 paper
- BICAART1 paper
- A*INFOCOM1 paper
- BJELIA1 paper
- AAAMAS1 paper
- A*ICDE1 paper
- A*SP1 paper
- ABPM1 paper
- AECAI1 paper
- A*CCS1 paper
- CETFA1 paper
- BNOMS1 paper
Papers
81 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs. | Daniel Furelos-Blanco, Charles Pert, Frederik Kelbel, Alex F. Spies, Alessandra Russo, Michael Dennis |
| 2026 | ACL | Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts. | Christos Ziakas, Nicholas Loo, Nishita Jain, Alessandra Russo |
| 2025 | ACL | Learning and Enforcing Context-Sensitive Control for LLMs. | Mohammad Albinhassan, Pranava Madhyastha, Mark Law, Alessandra Russo |
| 2025 | NeSy | Disentangling Neural Disjunctive Normal Form Models. | Kexin Gu Baugh, Vincent Perreault, Matthew Baugh, Luke Dickens, Katsumi Inoue, Alessandra Russo |
| 2024 | FUSION | TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action. | 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 Srivastava |
| 2024 | KR | Learning Robust Reward Machines from Noisy Labels. | Roko Parac, Lorenzo Nodari, Leo Ardon, Daniel Furelos-Blanco, Federico Cerutti, Alessandra Russo |
| 2024 | LPNMR | Towards Explainable Weather Forecasting Through FastLAS. | Talissa Dreossi, Agostino Dovier, Andrea Formisano, Mark Law, Agostino Manzato, Alessandra Russo, Matthew Tait |
| 2024 | LPNMR | Using Learning from Answer Sets for Robust Question Answering with LLM. | Irfan Kareem, Katie Gallagher, Manuel A. Borroto, Francesco Ricca, Alessandra Russo |
| 2024 | NeSy | Embed2Rule Scalable Neuro-Symbolic Learning via Latent Space Weak-Labelling. | Yaniv Aspis, Mohammad Albinhassan, Jorge Lobo, Alessandra Russo |
| 2024 | NeSy | The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. | Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo |
| 2023 | EACL | Towards preserving word order importance through Forced Invalidation. | Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo |
| 2023 | ICML | Hierarchies of Reward Machines. | Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo |
| 2023 | IJCAI | Neuro-Symbolic Learning of Answer Set Programs from Raw Data. | Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo |
| 2023 | ILP | Towards ILP-Based LTL f Passive Learning. | Antonio Ielo, Mark Law, Valeria Fionda, Francesco Ricca, Giuseppe De Giacomo, Alessandra Russo |
| 2022 | ICLP | A Semantics For Probabilistic Answer Set Programs With Incomplete Stochastic Knowledge. | David Tuckey, Krysia Broda, Alessandra Russo |
| 2022 | IJCAI | Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. | Mark Law, Krysia Broda, Alessandra Russo |
| 2022 | IJCAI | Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract). | Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo |
| 2022 | KR | Embed2Sym - Scalable Neuro-Symbolic Reasoning via Clustered Embeddings. | Yaniv Aspis, Krysia Broda, Jorge Lobo, Alessandra Russo |
| 2021 | EACL | Discrete Reasoning Templates for Natural Language Understanding. | Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo |
| 2021 | EMNLP | Numerical reasoning in machine reading comprehension tasks: are we there yet? | Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo |
| 2021 | FUSION | Towards Neural-Symbolic Learning to support Human-Agent Operations. | Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo, Lance M. Kaplan |
| 2021 | IJCAI | Scalable Non-observational Predicate Learning in ASP. | Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino |
| 2021 | NeSy | pix2rule: End-to-end Neuro-symbolic Rule Learning. | Nuri Cingillioglu, Alessandra Russo |
| 2021 | NeSy | Coherent and Consistent Relational Transfer Learning with Auto-encoders. | Harald Strmfelt, Luke Dickens, Artur S. d'Avila Garcez, Alessandra Russo |
| 2020 | AAAI | Induction of Subgoal Automata for Reinforcement Learning. | Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson |
| 2020 | AAAI | FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria. | Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo |
| 2020 | ESORICS | Polisma - A Framework for Learning Attribute-Based Access Control Policies. | Amani Abu Jabal, Elisa Bertino, Jorge Lobo, Mark Law, Alessandra Russo, Seraphin B. Calo, Dinesh C. Verma |
| 2020 | ICLP | Towards Structure Learning under the Credal Semantics. | David Tuckey, Krysia Broda, Alessandra Russo |
| 2020 | KR | Stable and Supported Semantics in Continuous Vector Spaces. | Yaniv Aspis, Krysia Broda, Alessandra Russo, Jorge Lobo |
| 2020 | SACMAT | On Security Policy Migrations. | Jorge Lobo, Elisa Bertino, Alessandra Russo |
| 2019 | AAAI | Representing and Learning Grammars in Answer Set Programming. | Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo |
| 2019 | ICDCS | Generative Policies for Coalition Systems - A Symbolic Learning Framework. | 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 |
| 2019 | ICMLA | A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy Models. | Graham White, Daniel Cunnington, Mark Law, Elisa Bertino, Geeth de Mel, Alessandra Russo |
| 2019 | SmartComp | Using an ASG Based Generative Policy to Model Human Rules. | Graham White, John Ingham, Mark Law, Alessandra Russo |
| 2018 | ESORICS | AGENP: An ASGrammar-based GENerative Policy Framework. | Seraphin B. Calo, Irene Manotas, Geeth de Mel, Daniel Cunnington, Mark Law, Dinesh C. Verma, Alessandra Russo, Elisa Bertino |
| 2018 | ICLP | Learning Commonsense Knowledge Through Interactive Dialogue. | Benjamin Wu, Alessandra Russo, Mark Law, Katsumi Inoue |
| 2018 | ILP | Tensor-Based Abduction in Horn Propositional Programs. | Yaniv Aspis, Krysia Broda, Alessandra Russo |
| 2016 | ICAART | Collaborative Explanation and Response in Assisted Living Environments Enhanced with Humanoid Robots. | Antonis Bikakis, Patrice Caire, Keith Clark, Gary Cornelius, Jiefei Ma, Rob Miller, Alessandra Russo, Holger Voos |
| 2016 | ILP | Reduction of ILP Search Space with Bottom-Up Propositionalisation. | Hadeel Al-Negheimish, Alessandra Russo |
| 2016 | ILP | An Abductive-Inductive Algorithm for Probabilistic Inductive Logic Programming. | Stanislav Dragiev, Alessandra Russo, Krysia Broda, Mark Law, Calin-Rares Turliuc |
| 2016 | ICSE | Risk-driven revision of requirements models. | Dalal Alrajeh, Axel van Lamsweerde, Jeff Kramer, Alessandra Russo, Sebastin Uchitel |
| 2016 | ICSE | Logic-based learning in software engineering. | Dalal Alrajeh, Alessandra Russo, Sebastin Uchitel, Jeff Kramer |
| 2016 | ICSE | Privacy dynamics: learning privacy norms for social software. | Gl alikli, Mark Law, Arosha K. Bandara, Alessandra Russo, Luke Dickens, Blaine A. Price, Avelie Stuart, Mark Levine, Bashar Nuseibeh |
| 2015 | ICLP | Probabilistic Abductive Logic Programming using Dirichlet Priors. | Calin-Rares Turliuc, Luke Dickens, Alessandra Russo, Krysia Broda |
| 2015 | IM | Towards making network function virtualization a cloud computing service. | Windhya Rankothge, Jiefei Ma, Franck Le, Alessandra Russo, Jorge Lobo |
| 2015 | INFOCOM | Detecting distributed signature-based intrusion: The case of multi-path routing attacks. | Jiefei Ma, Franck Le, Alessandra Russo, Jorge Lobo |
| 2015 | LPAR | Reasoning in the presence of inconsistency through Preferential ALC. | Graham Deane, Krysia Broda, Alessandra Russo |
| 2015 | LPNMR | Automated Inference of Rules with Exception from Past Legal Cases Using ASP. | Duangtida Athakravi, Ken Satoh, Mark Law, Krysia Broda, Alessandra Russo |
| 2014 | ILP | Inductive Learning Using Constraint-Driven Bias. | Duangtida Athakravi, Dalal Alrajeh, Krysia Broda, Alessandra Russo, Ken Satoh |
| 2014 | JELIA | Inductive Learning of Answer Set Programs. | Mark Law, Alessandra Russo, Krysia Broda |
| 2013 | ILP | Learning Through Hypothesis Refinement Using Answer Set Programming. | Duangtida Athakravi, Domenico Corapi, Krysia Broda, Alessandra Russo |
| 2013 | ICSE | Computational alignment of goals and scenarios for complex systems. | Dalal Alrajeh, Alessandra Russo, James Lockerbie, Neil A. M. Maiden, Alistair Mavin, Mark Novak |
| 2013 | ICSE | Learning revised models for planning in adaptive systems. | Daniel Sykes, Domenico Corapi, Jeff Magee, Jeff Kramer, Alessandra Russo, Katsumi Inoue |
| 2013 | LPAR | On Minimality and Integrity Constraints in Probabilistic Abduction. | Calin-Rares Turliuc, Nataly Maimari, Alessandra Russo, Krysia Broda |
| 2012 | AAMAS | Handling change in normative specifications. | Duangtida Athakravi, Domenico Corapi, Alessandra Russo, Marina De Vos, Julian A. Padget, Ken Satoh |
| 2012 | FASE | Learning from Vacuously Satisfiable Scenario-Based Specifications. | Dalal Alrajeh, Jeff Kramer, Alessandra Russo, Sebastin Uchitel |
| 2012 | ICDE | Learning Stochastic Models of Information Flow. | Luke Dickens, Ian M. Molloy, Jorge Lobo, Pau-Chen Cheng, Alessandra Russo |
| 2012 | ICSE | Generating obstacle conditions for requirements completeness. | Dalal Alrajeh, Jeff Kramer, Axel van Lamsweerde, Alessandra Russo, Sebastin Uchitel |
| 2012 | SP | Foundations of Logic-Based Trust Management. | Moritz Y. Becker, Alessandra Russo, Nik Sultana |
| 2011 | CNSM | Policy refinement: Decomposition and operationalization for dynamic domains. | Robert Craven, Jorge Lobo, Emil Lupu, Alessandra Russo, Morris Sloman |
| 2011 | ICLP | An Inductive Approach for Modal Transition System Refinement. | Dalal Alrajeh, Jeff Kramer, Alessandra Russo, Sebastin Uchitel |
| 2011 | ICLP | Multi-agent Confidential Abductive Reasoning. | Jiefei Ma, Alessandra Russo, Krysia Broda, Emil Lupu |
| 2011 | ILP | Integrating Model Checking and Inductive Logic Programming. | Dalal Alrajeh, Alessandra Russo, Sebastin Uchitel, Jeff Kramer |
| 2011 | ILP | Inductive Logic Programming in Answer Set Programming. | Domenico Corapi, Alessandra Russo, Emil Lupu |
| 2011 | ILP | Learning User Behaviours in Real Mobile Domains. | Andreas Markitanis, Domenico Corapi, Alessandra Russo, Emil C. Lupu |
| 2010 | BPM | Revising Process Models through Inductive Learning. | Fabrizio Maria Maggi, Domenico Corapi, Alessandra Russo, Emil Lupu, Giuseppe Visaggio |
| 2010 | CNSM | Decomposition techniques for policy refinement. | Robert Craven, Jorge Lobo, Emil C. Lupu, Alessandra Russo, Morris Sloman |
| 2010 | ECAI | The Dynamics of Multi-Agent Reinforcement Learning. | Luke Dickens, Krysia Broda, Alessandra Russo |
| 2010 | ICLP | Inductive Logic Programming as Abductive Search. | Domenico Corapi, Alessandra Russo, Emil Lupu |
| 2009 | CCS | Expressive policy analysis with enhanced system dynamicity. | Robert Craven, Jorge Lobo, Jiefei Ma, Alessandra Russo, Emil C. Lupu, Arosha K. Bandara |
| 2009 | IM | Using argumentation logic for firewall configuration management. | Arosha K. Bandara, Antonis C. Kakas, Emil C. Lupu, Alessandra Russo |
| 2009 | ICSE | Learning operational requirements from goal models. | Dalal Alrajeh, Jeff Kramer, Alessandra Russo, Sebastin Uchitel |
| 2009 | LPNMR | Induction on Failure: Learning Connected Horn Theories. | Tim Kimber, Krysia Broda, Alessandra Russo |
| 2008 | FASE | Deriving Non-zeno Behavior Models from Goal Models Using ILP. | Dalal Alrajeh, Alessandra Russo, Sebastin Uchitel |
| 2007 | ETFA | Synchronous multipoint E-learning realized on an intelligent software-router platform over unicast networks: Design and performance issues. | Giuseppe Maraviglia, Marina Masi, Vincenzo Merlo, Francesco Licandro, Alessandra Russo, Giovanni Schembra |
| 2006 | ILP | Extracting Requirements from Scenarios with ILP. | Dalal Alrajeh, Oliver Ray, Alessandra Russo, Sebastin Uchitel |
| 2006 | NOMS | Dynamic Policy Analysis and Conflict Resolution for DiffServ Quality of Service Management. | Marinos Charalambides, Paris Flegkas, George Pavlou, Javier Rubio-Loyola, Arosha K. Bandara, Emil C. Lupu, Alessandra Russo, Morris Sloman, Naranker Dulay |
| 2005 | IM | Policy refinement for DiffServ quality of service management. | Arosha K. Bandara, Emil C. Lupu, Alessandra Russo, Naranker Dulay, Morris Sloman, Paris Flegkas, Marinos Charalambides, George Pavlou |
| 2004 | ICLP | Generalised Kernel Sets for Inverse Entailment. | Oliver Ray, Krysia Broda, Alessandra Russo |
| 2003 | ILP | Hybrid Abductive Inductive Learning: A Generalisation of Progol. | Oliver Ray, Krysia Broda, Alessandra Russo |
| 2002 | ICLP | An Abductive Approach for Analysing Event-Based Requirements Specifications. | Alessandra Russo, Rob Miller, Bashar Nuseibeh, Jeff Kramer |