All Stories

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