concept_threshold: 0.5
ai_cb_terms:
- artificial intelligence
- machine learning
- deep learning
- data science
genom_cb_terms:
- genomic
- genome
inst_meta_vars:
- id
- display_name
- country_code
- type
- homepage_url
work_meta_vars:
- id
- doi
- display_name
- publication_year
- publication_date
- cited_by_count
- is_retracted
venue_meta_vars:
- id
- display_name
- url
ai_terms:
- " ai "
- " ann "
- " gan "
- " gnn "
- " cnn "
- " rnn "
- " dnn "
- " nlp "
- " cnn "
- natural language processing
- transformer
- encoder
- accuracy
- artificial
- artificial intelligence
- bayes
- classifier
- convolution
- deep
- generative
- machine
- machine learning
- predict
- reinforcement
- representation
- state of the art
- state-of-the-art
- pattern recognition
- accuracy
- statistical
- supervis
- train
- clustering
- federat
- rbf
- unsupervis
ai_cats:
- cs.CL
- cs.AI
- cs.NE
- cs.CV
- cs.LG
- stat.ML
- cs.IR
- cs.SO
- q-bio.QM
- math.ST
ai_conf_acronyms:
- neurips
- icml
- cvf
- eccv
- aaai
- pmlr
- sigkdd
- ijcai
- acl
ai_terms_genetics:
- random forest
- " svm "
- logistic regress
gtr_topic_search:
- genom
- genetic
- artificial intelligence
gtr_genom_concepts:
- Genomics
- Functional genomics
- Environmental Genomics
- Genome organisation
gtr_ai_concepts:
- Artificial Intelligence
gtr_ai_abstract:
- random forest
- " svm "
- "logistic "
- lasso
- machine learning
- deep learning
- " ai "
- " ann "
- " gan "
- " gnn "
- " rnn "
- " dnn "
- " nlp "
- supervised
- unsupervised
- reinforcement learning
- convolutional
- " cnn "
- artificial intelligence
- bayesian
- transfer learning
- artificial neural network
- data science
- data analytics
- predictive analytics
selection_criteria:
concepts:
- Artificial intelligence
- Machine learning
- Deep learning
thresholds:
- 0.3
- 0.71
- 0.1
gtr_genom_abstract:
- genomics
- genome
- gwas
uspto_file: "inputs/patent_data/uspto/ai_model_predictions.tsv.zip"
ai_genomics_patents_file: "/outputs/patent_data/ai_genomics_patent_ids.csv"
sql_table: "golden-shine-355915.genomics.*"
patent_class_codes_path: "inputs/patent_data/"