Conference Paper/Proceeding/Abstract 16 views
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments
Matt Ploszajski,
Gary Tam 
,
Xianghua Xie
,
Xianghua Xie
Swansea University Authors:
Matt Ploszajski, Gary Tam , Xianghua Xie
Abstract
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments
| Published: |
|
|---|---|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa72039 |
| first_indexed |
2026-06-10T08:58:47Z |
|---|---|
| last_indexed |
2026-06-12T09:28:45Z |
| id |
cronfa72039 |
| recordtype |
SURis |
| fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2026-06-10T09:59:17.6458822</datestamp><bib-version>v2</bib-version><id>72039</id><entry>2026-06-10</entry><title>Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments</title><swanseaauthors><author><sid>3b23b044c227c0089ee6115278863e85</sid><ORCID/><firstname>Matt</firstname><surname>Ploszajski</surname><name>Matt Ploszajski</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>e75a68e11a20e5f1da94ee6e28ff5e76</sid><ORCID>0000-0001-7387-5180</ORCID><firstname>Gary</firstname><surname>Tam</surname><name>Gary Tam</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>b334d40963c7a2f435f06d2c26c74e11</sid><ORCID>0000-0002-2701-8660</ORCID><firstname>Xianghua</firstname><surname>Xie</surname><name>Xianghua Xie</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2026-06-10</date><deptcode>MACS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal/><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords/><publishedDay>0</publishedDay><publishedMonth>0</publishedMonth><publishedYear>0</publishedYear><publishedDate>0001-01-01</publishedDate><doi/><url/><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm>Not Required</apcterm><funders>This work was funded by EPSRC grant number EP/S021892/1.
For the purpose of open access the authors have applied a Creative Commons Attri-
bution (CC BY) license to any Author Accepted Manuscript version arising from this
submission. The research is jointly funded by Amicus Therapeutics and the Engineering
the Physical Sciences Research Council.</funders><projectreference>EP/S021892/1.</projectreference><lastEdited>2026-06-10T09:59:17.6458822</lastEdited><Created>2026-06-10T09:57:16.7674284</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Matt</firstname><surname>Ploszajski</surname><orcid/><order>1</order></author><author><firstname>Gary</firstname><surname>Tam</surname><orcid>0000-0001-7387-5180</orcid><order>2</order></author><author><firstname>Xianghua</firstname><surname>Xie</surname><orcid>0000-0002-2701-8660</orcid><order>3</order></author></authors><documents/><OutputDurs/></rfc1807> |
| spelling |
2026-06-10T09:59:17.6458822 v2 72039 2026-06-10 Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments 3b23b044c227c0089ee6115278863e85 Matt Ploszajski Matt Ploszajski true false e75a68e11a20e5f1da94ee6e28ff5e76 0000-0001-7387-5180 Gary Tam Gary Tam true false b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2026-06-10 MACS Conference Paper/Proceeding/Abstract 0 0 0 0001-01-01 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Not Required This work was funded by EPSRC grant number EP/S021892/1. For the purpose of open access the authors have applied a Creative Commons Attri- bution (CC BY) license to any Author Accepted Manuscript version arising from this submission. The research is jointly funded by Amicus Therapeutics and the Engineering the Physical Sciences Research Council. EP/S021892/1. 2026-06-10T09:59:17.6458822 2026-06-10T09:57:16.7674284 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Matt Ploszajski 1 Gary Tam 0000-0001-7387-5180 2 Xianghua Xie 0000-0002-2701-8660 3 |
| title |
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments |
| spellingShingle |
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments Matt Ploszajski Gary Tam Xianghua Xie |
| title_short |
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments |
| title_full |
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments |
| title_fullStr |
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments |
| title_full_unstemmed |
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments |
| title_sort |
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments |
| author_id_str_mv |
3b23b044c227c0089ee6115278863e85 e75a68e11a20e5f1da94ee6e28ff5e76 b334d40963c7a2f435f06d2c26c74e11 |
| author_id_fullname_str_mv |
3b23b044c227c0089ee6115278863e85_***_Matt Ploszajski e75a68e11a20e5f1da94ee6e28ff5e76_***_Gary Tam b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie |
| author |
Matt Ploszajski Gary Tam Xianghua Xie |
| author2 |
Matt Ploszajski Gary Tam Xianghua Xie |
| format |
Conference Paper/Proceeding/Abstract |
| institution |
Swansea University |
| college_str |
Faculty of Science and Engineering |
| hierarchytype |
|
| hierarchy_top_id |
facultyofscienceandengineering |
| hierarchy_top_title |
Faculty of Science and Engineering |
| hierarchy_parent_id |
facultyofscienceandengineering |
| hierarchy_parent_title |
Faculty of Science and Engineering |
| department_str |
School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
| document_store_str |
0 |
| active_str |
0 |
| published_date |
0001-01-01T06:39:55Z |
| _version_ |
1867859042227978240 |
| score |
11.108446 |