APR212027

ESANN 2027 — 35th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

by d-side conferences, in cooperation with UCLouvain

conferenceHybridUpcomingStarts in 8 months

Europe's long-running neural networks and machine learning symposium, hybrid from Bruges

April 21–23, 2027·Bruges, Belgium·Paid
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THE DAILY BRIEF
APR212027
ESANN 2027 — 35th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

by d-side conferences, in cooperation with UCLouvain

conferenceHybridupcoming

Europe's long-running neural networks and machine learning symposium, hybrid from Bruges

About This Event

ESANN 2027, the 35th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, runs from Wednesday 21 to Friday 23 April 2027 in Bruges, Belgium, and is organised in hybrid mode with both in-person and online participation. The symposium covers artificial neural networks, machine learning, statistical information processing and computational intelligence, with specific areas including deep learning, kernel machines, transfer learning, classification, clustering, recurrent networks, time-series forecasting, dimensionality reduction, trustworthy AI and machine learning for healthcare. Papers are due 18 November 2026 with decisions on 22 January 2027. Alongside the regular sessions ESANN runs special sessions reviewed against the same criteria, and every accepted poster also gets a one-minute spotlight oral presentation during a plenary session. DBLP records the symposium in Bruges every recent year.

At a Glance

Date
April 21–23, 2027
Location
Bruges, Belgium
Format
Hybrid
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
d-side conferences, in cooperation with UCLouvain
Added
Sep 3, 2026
Updated
Sep 3, 2026

Topics & Focus Areas

Artificial neural networksDeep learningMachine learningComputational intelligenceKernel machinesTransfer learningRecurrent networks and time-series forecastingDimensionality reductionTrustworthy AIMachine learning for healthcare

Who Should Attend

  • Machine learning researchers
  • AI/ML engineers
  • Data scientists
  • Heads of AI and data science
  • Applied scientists in healthcare AI
  • PhD students in neural networks and computational intelligence

Organizer

d

d-side conferences, in cooperation with UCLouvain

esann.org/

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About This Event

ESANN 2027, the 35th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, runs from Wednesday 21 to Friday 23 April 2027 in Bruges, Belgium, and is organised in hybrid mode with both in-person and online participation. The symposium covers artificial neural networks, machine learning, statistical information processing and computational intelligence, with specific areas including deep learning, kernel machines, transfer learning, classification, clustering, recurrent networks, time-series forecasting, dimensionality reduction, trustworthy AI and machine learning for healthcare. Papers are due 18 November 2026 with decisions on 22 January 2027. Alongside the regular sessions ESANN runs special sessions reviewed against the same criteria, and every accepted poster also gets a one-minute spotlight oral presentation during a plenary session. DBLP records the symposium in Bruges every recent year.

Key Dates & Deadlines

  • Paper submission deadline
  • Notification to authors (decisions)

At a Glance

Date
April 21–23, 2027
Location
Bruges, Belgium
Format
Hybrid
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
d-side conferences, in cooperation with UCLouvain
Added
Sep 3, 2026
Updated
Sep 3, 2026

Topics & Focus Areas

Artificial neural networksDeep learningMachine learningComputational intelligenceKernel machinesTransfer learningRecurrent networks and time-series forecastingDimensionality reductionTrustworthy AIMachine learning for healthcare

Who Should Attend

  • Machine learning researchers
  • AI/ML engineers
  • Data scientists
  • Heads of AI and data science
  • Applied scientists in healthcare AI
  • PhD students in neural networks and computational intelligence

Why Attend

ESANN is the practical European stop for a team that needs to track neural-network and machine-learning research without the scale, cost and lottery admission of NeurIPS or ICML. A head of AI or data science gets three days in a single European city, in April, with a programme that reaches trustworthy AI and healthcare machine learning as well as core deep learning — and because the 2027 edition is hybrid, the rest of the team can attend the same sessions remotely. It is a good venue for scouting European research groups you might partner with or hire from, at a fraction of the travel commitment of a US conference.

Event Features

  • Regular sessions on artificial neural networks, machine learning, statistical information processing and computational intelligence
  • Special sessions, reviewed to the same standard as the main track
  • One-minute spotlight oral presentation in plenary for every accepted poster
  • Hybrid delivery — in-person in Bruges and online, 21-23 April 2027
  • Topic coverage spanning deep learning, kernel machines, transfer learning and recurrent networks
  • Topic coverage spanning trustworthy AI and machine learning for healthcare
  • Open-access proceedings published via esann.org

What Makes This Unique

  • Thirty-five consecutive editions and, per DBLP, held in Bruges in every recent year — a stable, predictable European fixture rather than a rotating venue with variable organisation.
  • Hybrid by design for 2027, with both in-person and online participation, so a team can send one person and still have the rest follow the same programme without a second travel budget.
  • Every accepted poster also gets a one-minute spotlight oral presentation during a plenary session, so no accepted work is buried in a poster hall.
  • Special sessions are reviewed against the same criteria as the regular sessions, so themed tracks are not a lower-bar side entrance.
  • Proceedings are published open access via esann.org, so the output is readable by colleagues who did not attend.

Industries Represented

Artificial IntelligenceHealthcareHigher Education & ResearchTechnology

Pricing Details

Registration fees for ESANN 2027 are not published on the official site as of September 2026. esann.org currently lists only the submission deadline (18 November 2026) and the decision date (22 January 2027); rates for in-person and online attendance are expected on the registration page nearer the April 2027 symposium.

Organizer

d

d-side conferences, in cooperation with UCLouvain

esann.org/

Frequently Asked

When is ESANN 2027?
ESANN 2027 takes place April 21–23, 2027 in Bruges, Belgium.
Where is ESANN 2027 held?
ESANN 2027 is held in Bruges, Belgium. The event format is hybrid.
What is the ESANN 2027 submission deadline?
The next ESANN 2027 deadline is paper submission deadline on Nov 18, 2026. Remaining dates: Notification to authors (decisions) — Jan 22, 2027.
How much does ESANN 2027 cost?
ESANN 2027 is paid. Registration fees for ESANN 2027 are not published on the official site as of September 2026. esann.org currently lists only the submission deadline (18 November 2026) and the decision date (22 January 2027); rates for in-person and online attendance are expected on the registration page nearer the April 2027 symposium.
Who should attend ESANN 2027?
ESANN 2027 is aimed at Machine learning researchers, AI/ML engineers, Data scientists, Heads of AI and data science, Applied scientists in healthcare AI, PhD students in neural networks and computational intelligence.
What topics does ESANN 2027 cover?
ESANN 2027 covers Artificial neural networks, Deep learning, Machine learning, Computational intelligence, Kernel machines, Transfer learning, Recurrent networks and time-series forecasting, Dimensionality reduction, Trustworthy AI, Machine learning for healthcare.

Sources

This page was written from 3 sources, 1 on domains other than esann.org.

  1. 1.esann.orgesann.orgvendor
  2. 2.esann.org3vendor
  3. 3.dblp.orgindex
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