1. CREATe: Clinical Report Extraction and Annotation Technology
  2. CTRL-PG: Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
  3. JEDI: Circular RNA Prediction based on Junction Encoders and Deep Interaction among Splice Sites
  4. SPoD: Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning
  5. Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases
  6. InterHAt: Interpretable Click-Through Rate Prediction through Hierarchical Attention
  7. LG-ODE: Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
  8. MuPIPR: Mutation effect estimation on protein-protein interactions using deep contextualized representation learning
  9. PCPR: "The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition
  10. QDS-Transformer: Long Document Ranking with Query-Directed Sparse Transformer
  11. DISP: Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
  12. JOIE: Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
  13. MetaMLAnn: Inferring Microbial Communities for City Scale Metagenomics Using Neural Networks
  14. MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction
  15. MiniScrub: de novo long read scrubbing using approximate alignment and deep learning
  16. NeRank: Personalized Question Routing via Heterogeneous Network Embedding
  17. PIPR: Multifaceted protein–protein interaction prediction based on Siamese residual RCNN
  18. SimGNN: A neural network approach to fast graph similarity computation
  19. UGRAPHEMB: Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
  20. GN-GloVe: Learning Gender-Neutral Word Embedding
  21. NETRA: Learning Deep Network Representations with Adversarially Regularized Autoencoders
  22. NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks
  23. RIN: Reformulation Inference Network for Context-Aware Query Suggestion
  24. AZTEC: A Cloud-based Computational Platform to Integrate Biomedical Resources
  25. Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers
  26. TahcoRoll: An Efficient Approach for Signature Profiling in Genomic Data through Variable-Length k-mers
  27. CausalRanking: Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations
  28. R-GENSENG: A randomized approach to speed up the analysis of large scale read-count data in the application of CNV detection
  29. Gracob: a novel graph-based constant-column biclustering method for mining growth phenotype data
  30. Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers
  31. PseudoLasso: Efficient approach to correct read alignment for pseudogene abundance estimates
  32. Source-LDA: Enhancing probabilistic topic models using prior knowledge sources
  33. Spotlite: Web Application and Augmented Algorithms for Predicting Co-Complexed Proteins from Affinity Purification - Mass Spectrometry Data
  34. HICC: An Entropy Splitting Based Framework for Hierarchical Co-Clustering
  35. RNA-Skim: a rapid method for RNA-Seq quantification at transcript level
  36. Graph Regularized Dual Lasso for Robust eQTL Mapping
  37. Flexible and Robust Co-Regularized Multi-Domain Graph Clustering
  38. GAIN: Efficient genome ancestry inference in complex pedigrees with inbreeding
  39. Multi-Alignment and Read Annotation Pipeline: Lapels, Suspenders
  40. ASGENSENG: A software to detect allele specific CNV from both WGS and WES data
  41. GENSENG: Improving detection of copy number variation by simultaneous bias correction and read-depth segmentation
  42. MaCH-Admix: genotype imputation for admixed populations
  43. GeneScissors: a comprehensive approach to detecting and correcting spurious transcriptome inference due to RNAseq reads misalignment
  44. HTreeQA: using semi-perfect phylogeny trees in quantitative trait loci study on genotype data
  45. LTS: Discriminative subgraph mining by learning from search history
  46. GAIA: Graph classification using evolutionary computation
  47. REM: Rapid and Robust Resampling-Based Multiple-Testing Correction with Application in a Genome-Wide Expression Quantitative Trait Loci Study
  48. FastANOVA: an Efficient Algorithm for Genome-Wide Association Study
  49. Inferring Genome-wide Mosaic Structure
  50. Genotype Sequence Segmentation
  51. TreeQA: Tree-based Genome-wide Association Mapping
  52. NPUTE: Fast Algorithm for Imputing Missing Genotypes in SNPs
  53. FFSM: Fast Frequent Subgraph Mining