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Data Skeptic

Data Skeptic

AI
更新于 2026-05-15 01:28 共 100 条
  1. 1 Student Spotlight: Aaron Payne, Data Analyst
  2. 2 The Future is Agentic in Recommender Systems
  3. 3 Book Ratings and Recommendations
  4. 4 Disentanglement and Interpretability in Recommender Systems
  5. 5 Collective Altruism in Recommender Systems
  6. 6 Niche vs Mainstream
  7. 7 Healthy Friction in Job Recommender Systems
  8. 8 Fairness in PCA-Based Recommenders
  9. 9 Video Recommendations in Industry
  10. 10 Eye Tracking in Recommender Systems
  11. 11 Cracking the Cold Start Problem
  12. 12 Designing Recommender Systems for Digital Humanities
  13. 13 DataRec Library for Reproducible in Recommend Systems
  14. 14 Shilling Attacks on Recommender Systems
  15. 15 Music Playlist Recommendations
  16. 16 Bypassing the Popularity Bias
  17. 17 Sustainable Recommender Systems for Tourism
  18. 18 Interpretable Real Estate Recommendations
  19. 19 Why Am I Seeing This?
  20. 20 Eco-aware GNN Recommenders
  21. 21 Networks and Recommender Systems
  22. 22 Network of Past Guests Collaborations
  23. 23 The Network Diversion Problem
  24. 24 Complex Dynamic in Networks
  25. 25 Github Network Analysis
  26. 26 Networks and Complexity
  27. 27 Graphs for Causal AI
  28. 28 Power Networks
  29. 29 Unveiling Graph Datasets
  30. 30 Network Manipulation
  31. 31 The Small World Hypothesis
  32. 32 Thinking in Networks
  33. 33 Fraud Networks
  34. 34 Criminal Networks
  35. 35 Graph Bugs
  36. 36 Organizational Network Analysis
  37. 37 Organizational Networks
  38. 38 Networks of the Mind
  39. 39 LLMs and Graphs Synergy
  40. 40 A Network of Networks
  41. 41 Auditing LLMs and Twitter
  42. 42 Fraud Detection with Graphs
  43. 43 Optimizing Supply Chains with GNN
  44. 44 The Mystery Behind Large Graphs
  45. 45 Customizing a Graph Solution
  46. 46 Graph Transformations
  47. 47 Networks for AB Testing
  48. 48 Lessons from eGamer Networks
  49. 49 Github Collaboration Network
  50. 50 Graphs and ML for Robotics
  51. 51 Graphs for HPC and LLMs
  52. 52 Graph Databases and AI
  53. 53 Network Analysis in Practice
  54. 54 Animal Intelligence Final Exam
  55. 55 Process Mining with LLMs
  56. 56 Open Animal Tracks
  57. 57 Bird Distribution Modeling with Satbird
  58. 58 Ant Encounters
  59. 59 Computing Toolbox
  60. 60 Biodiversity Monitoring
  61. 61 Hacking the Colony
  62. 62 Primate Poses
  63. 63 Generating 3D Animals with YouDream
  64. 64 Weird Communication
  65. 65 Reducing the Impact of Ship Noise on Marine Mammals
  66. 66 Analysis of Unstructured Data
  67. 67 iNaturalist
  68. 68 Learn to Code
  69. 69 Animal Computer Interaction
  70. 70 Ape Gestures
  71. 71 Evaluating AI Abilities
  72. 72 HMMs for Behavior
  73. 73 Bioinspired Engineering
  74. 74 Modelling Evolution
  75. 75 Behavioral Genetics
  76. 76 Signal in the Noise
  77. 77 Pose Tracking
  78. 78 Modeling Group Behavior
  79. 79 Advances in Data Loggers
  80. 80 What You Know About Intelligence is Wrong (fixed)
  81. 81 Animal Decision Making
  82. 82 Octopus Cognition
  83. 83 Optimal Foraging
  84. 84 Memory in Chess
  85. 85 OpenWorm
  86. 86 What the Antlion Knows
  87. 87 AI Roundtable
  88. 88 Uncontrollable AI Risks
  89. 89 I LLM and You Can Too
  90. 90 Q&A with Kyle
  91. 91 LLMs for Data Analysis
  92. 92 AI Platforms
  93. 93 Deploying LLMs
  94. 94 A Survey Assessing Github Copilot
  95. 95 Program Aided Language Models
  96. 96 Which Programming Language is ChatGPT Best At
  97. 97 GraphText
  98. 98 arXiv Publication Patterns
  99. 99 Do LLMs Make Ethical Choices
  100. 100 Emergent Deception in LLMs