conftrace_
← Topics

Data Science & Analytics

4,466 papers (1 classified directly here)

Subtopics

Applications (2,978) Methods (1,725)

Papers per year

2
45
67
440
588
'05
'10
'15
'20
'25

Papers (including subtopics)

A Method to Automatically Identify Diachronic Variation in Collocations. ACL 2019
ParHistVis: Visualization of Parallel Multilingual Historical Data ACL 2019
Spatio-Temporal Prediction of Dialectal Variant Usage ACL 2019
Evaluating Automatic Term Extraction Methods on Individual Documents ACL 2019
Exploring Transfer Learning and Domain Data Selection for the Biomedical Translation ACL 2019
Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data ACL 2019
NRC Parallel Corpus Filtering System for WMT 2019 ACL 2019
Differentially Private Community Detection in Attributed Social Networks ACML 2019
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019
Functional Isolation Forest ACML 2019
Multi-modal Representation Learning for Successive POI Recommendation ACML 2019
Convolutional Neural Collaborative Filtering with Stacked Embeddings ACML 2019
Prediction of Crowd Flow in City Complex with Missing Data ACML 2019
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users ACML 2019
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers AISTATS 2019
Foundations of Sequence-to-Sequence Modeling for Time Series AISTATS 2019
Computation Efficient Coded Linear Transform AISTATS 2019
SPONGE: A generalized eigenproblem for clustering signed networks AISTATS 2019
Learning Influence-Receptivity Network Structure with Guarantee AISTATS 2019
Active multiple matrix completion with adaptive confidence sets AISTATS 2019
Multi-Task Time Series Analysis applied to Drug Response Modelling AISTATS 2019
Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series AISTATS 2019
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach AISTATS 2019
Estimating Network Structure from Incomplete Event Data AISTATS 2019
Estimation of Non-Normalized Mixture Models AISTATS 2019