Janet Roveda

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Ao Li 0004

> Home > Persons > Janet Roveda

Publications

2024
[j30]
- view
  authority control:
- export record
  dblp key:
  - journals/cmpb/ChangLQLWRL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cmpb/ChangLQLWRL24
Ping Chang, Huayu Li, Stuart F. Quan, Shuyang Lu, Shu-Fen Wung, Janet Roveda, Ao Li:
A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit. Comput. Methods Programs Biomed. 246: 108060 (2024)
[j29]
- view
  authority control:
- export record
  dblp key:
  - journals/nn/LiCDRL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nn/LiCDRL24
Huayu Li, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li:
Knowledge distillation under ideal joint classifier assumption. Neural Networks 173: 106160 (2024)
[j27]
- view
  authority control:
- export record
  dblp key:
  - journals/titb/LiDRL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/titb/LiDRL24
Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li:
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal. IEEE J. Biomed. Health Informatics 28(9): 5081-5091 (2024)
[i7]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2407-08797
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2407-08797
Ping Chang, Tosiron Adegbija, Yuchao Liao, Claudio Talarico, Ao Li, Janet Roveda:
Deep Inverse Design for High-Level Synthesis. CoRR abs/2407.08797 (2024)
2023
[i6]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2301-06625
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2301-06625
Ping Chang, Huayu Li, Stuart F. Quan, Janet Roveda, Ao Li:
TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting. CoRR abs/2301.06625 (2023)
[i5]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2304-11004
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2304-11004
Huayu Li, Xiwen Chen, Gregory Ditzler, Ping Chang, Janet Roveda, Ao Li:
Knowledge Distillation Under Ideal Joint Classifier Assumption. CoRR abs/2304.11004 (2023)
2022
[i4]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2208-00542
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2208-00542
Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li:
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal. CoRR abs/2208.00542 (2022)
2020
[c69]
- view
  authority control:
- export record
  dblp key:
  - conf/bibm/ChenLR20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bibm/ChenLR20
Siteng Chen, Ao Li, Janet Roveda:
Sequence-level Supervised Deep Neural Networks for Mitosis Event Detection in Time-Lapse Microscopy Images. BIBM 2020: 2570-2571
2019
[c68]
- view
  authority control:
- export record
  dblp key:
  - conf/icmla/ChenLLHPRP19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icmla/ChenLLHPRP19
Siteng Chen, Ao Li, Kathleen Lasick, Julie Huynh, Linda S. Powers, Janet Roveda, Andrew Paek:
Weakly Supervised Deep Learning for Detecting and Counting Dead Cells in Microscopy Images. ICMLA 2019: 1737-1743

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.