◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. Dabrowski

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.AP1
same name
  • J. Dabrowski — 1 paper, h 18

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedEnforcing Mean Reversion in State Space Models for Prawn Pond Water Quality Forecasting

18 citations · 29 across the 3 of their papers we have counts for

collaborators

3 papers

stat.AP2020★ 18 cited

Enforcing Mean Reversion in State Space Models for Prawn Pond Water Quality Forecasting

Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam +1

The contribution of this study is a novel approach to introduce mean reversion in multi-step-ahead forecasts of state-space models. This approach is demonstrated in a prawn pond wa…

cs.LG2020

Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction

Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman +1

The time it takes for a classifier to make an accurate prediction can be crucial in many behaviour recognition problems. For example, an autonomous vehicle should detect hazardous…

cs.LG2020★ 11 cited

Sequence-to-Sequence Imputation of Missing Sensor Data

Joel Janek Dabrowski, Ashfaqur Rahman

Although the sequence-to-sequence (encoder-decoder) model is considered the state-of-the-art in deep learning sequence models, there is little research into using this model for re…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.