All Stories

  1. Towards Effective ASP-based Stream Reasoning: Facilitate the Reasoning over Patterns of Events
  2. ASP-based Multi-shot Reasoning via DLV2 with Incremental Grounding
  3. A hybrid inductive learning-based and deductive reasoning-based 3-D path planning method in complex environments
  4. DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models
  5. Smart Devices and Large Scale Reasoning via ASP: Tools and Applications
  6. I-DLV-sr: A Stream Reasoning System based on I-DLV
  7. Introduction to the TPLP Special Issue from the 16th European Conference on Logics in Artificial Intelligence (JELIA 2019)
  8. Towards realistic laparoscopic image generation using image-domain translation
  9. An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics
  10. Combining Deep Learning and ASP-Based Models for the Semantic Segmentation of Medical Images
  11. Understanding Automatic Pneumonia Classification Using Chest X-Ray Images
  12. Artificial intelligence for brain diseases: A systematic review
  13. Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion
  14. Reasoning over Ontologies with DLV
  15. ASP-Core-2 Input Language Format
  16. A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders
  17. Incremental Answer Set Programming with Overgrounding
  18. Prediction of Multiple Sclerosis Patient Disability from Structural Connectivity using Convolutional Neural Networks
  19. Using Heatmaps for Deep Learning based Disease Classification
  20. Classification of Multiple Sclerosis Clinical Profiles via Graph Convolutional Neural Networks
  21. Optimizing Answer Set Computation via Heuristic-Based Decomposition
  22. Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling
  23. Enhancing DLV for Large-Scale Reasoning
  24. Inducing Clinical Course Variations in Multiple Sclerosis White Matter Networks
  25. Logic Programming and Nonmonotonic Reasoning
  26. Logics in Artificial Intelligence
  27. Machine Learning, Optimization, and Data Science
  28. Efficiently Coupling the I-DLV Grounder with ASP Solvers
  29. Fostering the Use of Declarative Formalisms for Real-World Applications: The EmbASP Framework
  30. Blood Vessel Segmentation in Retinal Fundus Images Using Hypercube NeuroEvolution of Augmenting Topologies (HyperNEAT)
  31. Developing ASP Programs with ASPIDE and LoIDE
  32. The ASP System DLV: Advancements and Applications
  33. AI*IA 2018 – Advances in Artificial Intelligence
  34. Answer Set Programming for Declarative Content Specification: A Scalable Partitioning-Based Approach
  35. Correction to: Answer Set Programming for Declarative Content Specification: A Scalable Partitioning-Based Approach
  36. Integrating Rule-Based AI Tools into Mainstream Game Development
  37. Machine Learning, Optimization, and Big Data
  38. Mixing Logic Programming and Neural Networks to Support Neurological Disorders Analysis
  39. Practical Aspects of Declarative Languages
  40. Rules and Reasoning
  41. Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images
  42. Optimizing Answer Set Computation via Heuristic-Based Decomposition
  43. LoIDE: A Web-Based IDE for Logic Programming Preliminary Report
  44. BioHIPI: Biomedical Hadoop Image Processing Interface
  45. S-rep model for fundus image analysis
  46. A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT)
  47. I-DLV: The new intelligent grounder of DLV
  48. AI*IA 2017 Advances in Artificial Intelligence
  49. Artificial Neural Networks and Machine Learning – ICANN 2017
  50. Biomedical Data Augmentation Using Generative Adversarial Neural Networks
  51. External Computations and Interoperability in the New DLV Grounder
  52. Logic Programming and Nonmonotonic Reasoning
  53. The ASP System DLV2
  54. A framework for easing the development of applications embedding answer set programming
  55. Proceedings of the 18th International Symposium on Principles and Practice of Declarative Programming
  56. Angry-HEX: An Artificial Player for Angry Birds Based on Declarative Knowledge Bases
  57. Design and results of the Fifth Answer Set Programming Competition
  58. AI*IA 2016 Advances in Artificial Intelligence
  59. Boosting the Development of ASP-Based Applications in Mobile and General Scenarios
  60. $$\mathcal {I}$$ -dlv: The New Intelligent Grounder of dlv
  61. Optic Disc Detection Using Fine Tuned Convolutional Neural Networks
  62. Logic Programming and Nonmonotonic Reasoning
  63. Novel Method for Automated Analysis of Retinal Images: Results in Subjects with Hypertensive Retinopathy and CADASIL
  64. Logic Programming and Nonmonotonic Reasoning
  65. The Fourth Answer Set Programming Competition: Preliminary Report
  66. The third open answer set programming competition
  67. Finitely recursive programs: Decidability and bottom–up computation
  68. Logic Programming and Nonmonotonic Reasoning
  69. The Third Answer Set Programming Competition: Preliminary Report of the System Competition Track
  70. A 25-Year Perspective on Logic Programming
  71. Answer Set Programming
  72. An ASP System with Functions, Lists, and Sets
  73. Logic Programming and Nonmonotonic Reasoning
  74. Magic Sets for the Bottom-Up Evaluation of Finitely Recursive Programs
  75. Logic Programming
  76. Computable Functions in ASP: Theory and Implementation
  77. Experimenting with parallelism for the instantiation of ASP programs
  78. External sources of knowledge and value invention in logic programming
  79. Decidable Fragments of Logic Programming with Value Invention
  80. Logics in Artificial Intelligence
  81. Logic Programming and Nonmonotonic Reasoning
  82. External Sources of Computation for Answer Set Solvers
  83. A System with Template Answer Set Programs
  84. An agent system reasoning about the web and the user
  85. Logics in Artificial Intelligence
  86. New DLV Features for Data Integration
  87. The DLV System
  88. Logics in Artificial Intelligence