Alessandra Russo

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 117

Top Venues

CoRR

Theory Pract. Log. Program.

IJCAI

AAAI

Publications

Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning. CoRR (2024)
Charles Pert, Dalal Alrajeh, Alessandra Russo
ω-regular Expression Synthesis from Transition-Based Büchi Automata. CoRR (2024)
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 (2023)
Stefania Costantini, Enrico Pontelli, Alessandra Russo, Francesca Toni
International Conference on Logic Programming Special Issue. Theory Pract. Log. Program. 23 (4) (2023)
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
Hierarchies of Reward Machines. ICML (2023)
Leo Ardon, Daniel Furelos-Blanco, Alessandra Russo
Learning Reward Machines in Cooperative Multi-agent Tasks. AAMAS Workshops (2023)
Theo Charalambous, Yaniv Aspis, Alessandra Russo
NeuralFastLAS: Fast Logic-Based Learning from Raw Data. CoRR (2023)
Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
FFNSL: Feed-Forward Neural-Symbolic Learner. Mach. Learn. 112 (2) (2023)
Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Gaggl, Roberta Calegari, Artur D'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo, Francesca Toni
Proceedings 39th International Conference on Logic Programming. CoRR (2023)
Antonio Ielo, Mark Law, Valeria Fionda, Francesco Ricca, Giuseppe De Giacomo, Alessandra Russo
Towards ILP-Based LTL f Passive Learning. ILP (2023)
Zlatina Mileva, Antonis Bikakis, Fabio Aurelio D'Asaro, Mark Law, Alessandra Russo
A Unifying Framework for Learning Argumentation Semantics. CoRR (2023)
Leo Ardon, Daniel Furelos-Blanco, Alessandra Russo
Learning Reward Machines in Cooperative Multi-Agent Tasks. CoRR (2023)
Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
Neuro-Symbolic Learning of Answer Set Programs from Raw Data. IJCAI (2023)
Alexander Philipp Rader, Alessandra Russo
Active Learning in Neurosymbolic AI with Embed2Sym. COGAI@IJCLR (2023)
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)
Kexin Gu Baugh, Nuri Cingillioglu, Alessandra Russo
Neuro-symbolic Rule Learning in Real-world Classification Tasks. AAAI Spring Symposium: MAKE (2023)
Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
Towards preserving word order importance through Forced Invalidation. CoRR (2023)
Amrit Diggavi Seshadri, Alessandra Russo
Reasoning over the Behaviour of Objects in Video-Clips for Adverb-Type Recognition. CoRR (2023)
Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
Towards preserving word order importance through Forced Invalidation. EACL (2023)
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)
Kexin Gu Baugh, Nuri Cingillioglu, Alessandra Russo
Neuro-symbolic Rule Learning in Real-world Classification Tasks. CoRR (2023)
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
Hierarchies of Reward Machines. CoRR (2022)
Alex F. Spies, Alessandra Russo, Murray Shanahan
Sparse Relational Reasoning with Object-Centric Representations. CoRR (2022)
Mark Law, Krysia Broda, Alessandra Russo
Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. IJCAI (2022)
Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
Inductive Learning of Complex Knowledge from Raw Data. CoRR (2022)
Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo
Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract). IJCAI (2022)
Harald Strömfelt, Luke Dickens, Artur S. d'Avila Garcez, Alessandra Russo
Formalizing Consistency and Coherence of Representation Learning. NeurIPS (2022)
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 (2022)
Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo
Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework. Mach. Learn. 111 (4) (2022)
Yaniv Aspis, Krysia Broda, Jorge Lobo, Alessandra Russo
Embed2Sym - Scalable Neuro-Symbolic Reasoning via Clustered Embeddings. KR (2022)
David Tuckey, Krysia Broda, Alessandra Russo
A Semantics For Probabilistic Answer Set Programs With Incomplete Stochastic Knowledge. ICLP Workshops (2022)
David Tuckey, Alessandra Russo, Krysia Broda
PASOCS: A Parallel Approximate Solver for Probabilistic Logic Programs under the Credal Semantics. CoRR (2021)
Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
Numerical reasoning in machine reading comprehension tasks: are we there yet? EMNLP (1) (2021)
Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo
FF-NSL: Feed-Forward Neural-Symbolic Learner. CoRR (2021)
Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
Discrete Reasoning Templates for Natural Language Understanding. CoRR (2021)
Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo
Inductive Learning of Complex Knowledge from Raw Data. TFSOCTAI@AAAI Fall Symposium (2021)
Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo, Lance M. Kaplan
Towards Neural-Symbolic Learning to support Human-Agent Operations. FUSION (2021)
Nuri Cingillioglu, Alessandra Russo
pix2rule: End-to-end Neuro-symbolic Rule Learning. CoRR (2021)
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 (2021)
Théophile Sautory, Nuri Cingillioglu, Alessandra Russo
HySTER: A Hybrid Spatio-Temporal Event Reasoner. CoRR (2021)
Nuri Cingillioglu, Alessandra Russo
pix2rule: End-to-end Neuro-symbolic Rule Learning. NeSy (2021)
Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
Numerical reasoning in machine reading comprehension tasks: are we there yet? CoRR (2021)
Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino
Scalable Non-observational Predicate Learning in ASP. IJCAI (2021)
Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
Discrete Reasoning Templates for Natural Language Understanding. EACL (Student Research Workshop) (2021)
Harald Strömfelt, Luke Dickens, Artur d'Avila Garcez, Alessandra Russo
Coherent and Consistent Relational Transfer Learning with Auto-encoders. NeSy (2021)
Arthur Drozdov, Mark Law, Jorge Lobo, Alessandra Russo, Mercion Wilathgamuwage Don
Online Symbolic Learning of Policies for Explainable Security. TPS-ISA (2021)
Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone
Learning Neural Search Policies for Classical Planning. ICAPS (2020)
Nuri Cingillioglu, Alessandra Russo
Learning Invariants through Soft Unification. NeurIPS (2020)
Mark Law, Alessandra Russo, Krysia Broda
The ILASP system for Inductive Learning of Answer Set Programs. CoRR (2020)
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. CoRR (2020)
Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance M. Kaplan
NSL: Hybrid Interpretable Learning From Noisy Raw Data. CoRR (2020)
Jorge Lobo, Elisa Bertino, Alessandra Russo
On Security Policy Migrations. SACMAT (2020)
Daniel Pace, Alessandra Russo, Murray Shanahan
Learning Diverse Representations for Fast Adaptation to Distribution Shift. CoRR (2020)
David Tuckey, Alessandra Russo, Krysia Broda
A general framework for scientifically inspired explanations in AI. CoRR (2020)
Francesco Ricca, Alessandra Russo
Introduction to the 36th International Conference on Logic Programming Special Issue I. Theory Pract. Log. Program. 20 (5) (2020)
Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria. AAAI (2020)
Shuang Xia, Krysia Broda, Alessandra Russo
Topical Neural Theorem Prover that Induces Rules. GCAI (2020)
David Tuckey, Krysia Broda, Alessandra Russo
Towards Structure Learning under the Credal Semantics. ICLP Workshops (2020)
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 (2020)
Francesco Ricca, Alessandra Russo
Introduction to the 36th International Conference on Logic Programming Special Issue II. Theory Pract. Log. Program. 20 (6) (2020)
Harald Strömfelt, Luke Dickens, Artur d'Avila Garcez, Alessandra Russo
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision. CoRR (2020)
Alessandra Russo, Andy Schürr
Model-based software quality assurance tools and techniques presented at FASE 2018. Int. J. Softw. Tools Technol. Transf. 22 (1) (2020)
Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson
Induction of Subgoal Automata for Reinforcement Learning. AAAI (2020)
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)
Yaniv Aspis, Krysia Broda, Alessandra Russo, Jorge Lobo
Stable and Supported Semantics in Continuous Vector Spaces. KR (2020)
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)
Dinesh C. Verma, Seraphin B. Calo, Elisa Bertino, Alessandra Russo, Graham White
Policy based Ensembles for applying ML on Big Data. IEEE BigData (2019)
Daniel Cunnington, Mark Law, Alessandra Russo, Elisa Bertino, Seraphin B. Calo
Towards a Neural-Symbolic Generative Policy Model. IEEE BigData (2019)
Alessandra Russo, Andy Schürr, Heike Wehrheim
Editorial. Formal Aspects Comput. 31 (5) (2019)
David Tuckey, Krysia Broda, Alessandra Russo
Saliency Maps Generation for Automatic Text Summarization. CoRR (2019)
Mark Law, Alessandra Russo, Elisa Bertino, Krysia Broda, Jorge Lobo
Representing and Learning Grammars in Answer Set Programming. AAAI (2019)
Mark Law, Alessandra Russo, Krysia Broda
Logic-Based Learning of Answer Set Programs. Reasoning Web (2019)
Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo
Learning Classical Planning Strategies with Policy Gradient. ICAPS (2019)
Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson
Induction of Subgoal Automata for Reinforcement Learning. CoRR (2019)
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)
Nuri Cingillioglu, Alessandra Russo
DeepLogic: Towards End-to-End Differentiable Logical Reasoning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2019)
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) (2019)
Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone
Learning Neural Search Policies for Classical Planning. CoRR (2019)
Graham White, John Ingham, Mark Law, Alessandra Russo
Using an ASG Based Generative Policy to Model Human Rules. SMARTCOMP (2019)
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)
Nuri Cingillioglu, Alessandra Russo
Learning Invariants through Soft Unification. CoRR (2019)
Mark Law, Alessandra Russo, Krysia Broda
The complexity and generality of learning answer set programs. Artif. Intell. 259 (2018)
Dalal Alrajeh, Alessandra Russo
Logic-Based Learning: Theory and Application. Machine Learning for Dynamic Software Analysis (2018)
Yaniv Aspis, Krysia Broda, Alessandra Russo
Tensor-Based Abduction in Horn Propositional Programs. ILP Up-and-Coming / Short Papers (2018)
Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo
Learning Classical Planning Strategies with Policy Gradient. CoRR (2018)
Benjamin Wu, Alessandra Russo, Mark Law, Katsumi Inoue
Learning Commonsense Knowledge Through Interactive Dialogue. ICLP (Technical Communications) (2018)
Mark Law, Alessandra Russo, Krysia Broda
Inductive Learning of Answer Set Programs from Noisy Examples. CoRR (2018)
James Cussens, Alessandra Russo
Preface to the special issue on inductive logic programming. Mach. Learn. 107 (7) (2018)
Nuri Cingillioglu, Alessandra Russo
DeepLogic: End-to-End Logical Reasoning. CoRR (2018)
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)
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) (2017)
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)
Pawel Gomoluch, Dalal Alrajeh, Alessandra Russo, Antonio Bucchiarone
Towards learning domain-independent planning heuristics. CoRR (2017)
Piotr Chabierski, Alessandra Russo, Mark Law, Krysia Broda
Machine Comprehension of Text Using Combinatory Categorial Grammar and Answer Set Programs. COMMONSENSE (2017)
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)
Windhya Rankothge, Franck Le, Alessandra Russo, Jorge Lobo
Data Modelling for the Evaluation of Virtualized Network Functions Resource Allocation Algorithms. CoRR (2017)
Hadeel Al-Negheimish, Alessandra Russo
Reduction of ILP Search Space with Bottom-Up Propositionalisation. ILP (Short Papers) (2016)
Mark Law, Alessandra Russo, Krysia Broda
Iterative Learning of Answer Set Programs from Context Dependent Examples. CoRR (2016)
Mark Law, Alessandra Russo, Krysia Broda
Iterative Learning of Answer Set Programs from Context Dependent Examples. Theory Pract. Log. Program. 16 (5-6) (2016)
Calin-Rares Turliuc, Luke Dickens, Alessandra Russo, Krysia Broda
Probabilistic abductive logic programming using Dirichlet priors. Int. J. Approx. Reason. 78 (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alessandra Russo