194 results on '"Ramakrishnan, Naren"'
Search Results
2. Forecasting Gang Homicides with Multi-level Multi-task Learning
3. SIGNet: Scalable Embeddings for Signed Networks
4. Sub2Vec: Feature Learning for Subgraphs
5. Gaussian Process Models in Spatial Data Mining
6. Time-Series Analysis of Blog and Metaphor Dynamics for Event Detection
7. Tracking Multiple Social Media for Stock Market Event Prediction
8. Installing Electric Vehicle Charging Stations City-Scale: How Many and Where?
9. Event Detection from Blogs Using Large Scale Analysis of Metaphorical Usage
10. Concurrent Inference of Topic Models and Distributed Vector Representations
11. Data Mining for Modeling Chiller Systems in Data Centers
12. Modular, Fine-Grained Adaptation of Parallel Programs
13. Using Cost-Sensitive Learning to Determine Gene Conversions
14. Systems Biology via Redescription and Ontologies (II): A Tool for Discovery in Complex Systems
15. Scalable Execution of Legacy Scientific Codes
16. A Generative Programming Approach to Interactive Information Retrieval:Insights and Experiences
17. The Traits of the Personable
18. Algebraic Techniques for Analysis of Large Discrete-Valued Datasets
19. Data Mining Applications in Bioinformatics
20. A Data Mining Environment for Modeling the Performance of Scientific Software
21. Multiagent Recommender Systems in Networked Scientific Computing
22. Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction
23. Incorporating Relational Knowledge in Explainable Fake News Detection
24. SaGCN: Structure-Aware Graph Convolution Network for Document-Level Relation Extraction
25. Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function
26. Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
27. Rule Injection-Based Generative Adversarial Imitation Learning for Knowledge Graph Reasoning
28. Reinforced Natural Language Inference for Distantly Supervised Relation Classification
29. A Multi-task Kernel Learning Algorithm for Survival Analysis
30. AutoCluster: Meta-learning Based Ensemble Method for Automated Unsupervised Clustering
31. Meta-context Transformers for Domain-Specific Response Generation
32. Meta-data Augmentation Based Search Strategy Through Generative Adversarial Network for AutoML Model Selection
33. Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction
34. A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach
35. BanditRank: Learning to Rank Using Contextual Bandits
36. Learning Discriminative Features Using Multi-label Dual Space
37. Self-supervised Adaptive Aggregator Learning on Graph
38. SST-GNN: Simplified Spatio-Temporal Traffic Forecasting Model Using Graph Neural Network
39. VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning
40. PLVCG: A Pretraining Based Model for Live Video Comment Generation
41. Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation
42. HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification
43. Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge
44. Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models
45. A Fast Algorithm for Simultaneous Sparse Approximation
46. RW-GCN: Training Graph Convolution Networks with Biased Random Walk for Semi-supervised Classification
47. STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning
48. Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach
49. Universal Representation for Code
50. Quality Control for Hierarchical Classification with Incomplete Annotations
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