ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.01065
  4. Cited By
BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis
v1v2v3 (latest)

BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis

The Web Conference (WWW), 2020
2 December 2020
Weijie He
Xiaohao Mao
Chao Ma
Yu Huang
José Miguel Hernández-Lobato
Ting Chen
ArXiv (abs)PDFHTML

Papers citing "BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis"

9 / 9 papers shown
One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences
One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences
Hugo Math
Robin Schon
Rainer Lienhart
BDLCMLAI4TS
294
3
0
27 Sep 2025
Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation
Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation
Hugo Math
Rainer Lienhart
AI4TS
300
3
0
23 Sep 2025
Stochastic Encodings for Active Feature Acquisition
Stochastic Encodings for Active Feature Acquisition
Alexander Norcliffe
Changhee Lee
F. Imrie
M. Schaar
Pietro Lio
358
3
0
03 Aug 2025
Stochastic Amortization: A Unified Approach to Accelerate Feature and
  Data Attribution
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data AttributionNeural Information Processing Systems (NeurIPS), 2024
Ian Covert
Chanwoo Kim
Su-In Lee
James Zou
Tatsunori Hashimoto
TDI
353
16
0
29 Jan 2024
Estimating Conditional Mutual Information for Dynamic Feature Selection
Estimating Conditional Mutual Information for Dynamic Feature SelectionInternational Conference on Learning Representations (ICLR), 2023
Soham Gadgil
Ian Covert
Su-In Lee
336
13
0
05 Jun 2023
Variational Information Pursuit for Interpretable Predictions
Variational Information Pursuit for Interpretable PredictionsInternational Conference on Learning Representations (ICLR), 2023
Aditya Chattopadhyay
Kwan Ho Ryan Chan
B. Haeffele
D. Geman
René Vidal
DRL
343
23
0
06 Feb 2023
Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic
  Reinforcement Learning
Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement LearningKnowledge Discovery and Data Mining (KDD), 2022
Weijie He
Ting Chen
OffRL
112
3
0
08 Jun 2022
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model
  with Logic Regularization
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic RegularizationConference on Artificial Intelligence in Medicine in Europe (AIME), 2022
A. Nesterov
Bulat Ibragimov
D. Umerenkov
Artem Shelmanov
Galina Zubkova
V. Kokh
165
4
0
02 Jun 2022
DxFormer: A Decoupled Automatic Diagnostic System Based on
  Decoder-Encoder Transformer with Dense Symptom Representations
DxFormer: A Decoupled Automatic Diagnostic System Based on Decoder-Encoder Transformer with Dense Symptom Representations
Wei Chen
Cheng Zhong
J. Peng
Zhongyu Wei
MedIm
167
24
0
08 May 2022
1
Page 1 of 1