The papers from the Pattern Analysis and Machine Intelligence Seminar is organized in the following categories:

1.  Applications of Modern Machine Learning
   1. Temporal Tesselation – A unified approach for Video Analysis — 1032a094_loir_wolf
   2. Use of Deep Learning to Examine the Association of the Built Environment With Prevalence of Neighborhood Adult Obesity,  Maharana et al Maharana_2018_oi_18009
2. Meta-learning of Machine Learning Architectures, Evolutionary Learning
   1. Genetic CNN, Xie and Yuille, 1032b388_yuille_genetic
   2. The surprising creativity of digital evolution: A collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities, 1803.03453_evolutionary_learning_ai
3. Tools for Improving Machine Learning Systems Safety
   1. DeepXplore: Automated Whitebox Testing of Deep Learning Systems – Pei et al, p1-pei_deepxplore
   2. Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure – Nushi et al 1809.07424v1_accountable_ai_horvitz
4. Cognitive Architectures (Philosophy – complementary view to Modern Machine Learning Practice)
   1. The central role of cognition in learning — Pat Langley paper2_pat_langley_cogsys_2017
   2. Heuristics and Cognitive Systems  – Pat Langley paper-5-3_pat_langley_cogsys_2017