All Stories

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