ICPRAM 2026 - Call for Papers

The International Conference on Pattern Recognition Applications and Methods (ICPRAM) is a major point of contact between researchers, engineers, and practitioners on the areas of Pattern Recognition and Machine Learning, both from theoretical and application perspectives.

Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

Conference Areas

1. THEORY AND METHODS

   • Advanced Learning Methods
   • Machine Learning Methods
   • Model Representation and Selection
   • Shape Representation
   • Signal Processing
   • Stochastic Methods
   • Classification and Clustering
   • Deep Learning and Neural Networks
   • Ensemble Methods
   • Feature Extraction, Feature Selection and Dimensionality Reduction
   • Knowledge Acquisition and Representation

2. APPLICATIONS

   • Audio and Speech Analysis
   • Motion Tracking and Action Recognition
   • Natural Language Processing
   • Robotics
   • Sensors and Early Vision
   • Virtual Environments
   • Bioinformatics and Systems Biology
   • Biometrics
   • Data Mining and Algorithms for Big Data
   • Document Analysis
   • Image and Video Analysis and Understanding
   • Industry Related Applications
   • Information Retrieval
   • Medical Imaging

Paper Submission

Authors can submit their work in the form of a complete paper or an abstract.

• Accepted abstracts are presented but not published in the proceedings.
• Complete papers can be submitted as a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion.

Authors should submit a paper in English, carefully checked for correct grammar and spelling. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors.

All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates.

Publications

All accepted complete papers will be published in the conference proceedings, under an ISBN reference, on paper and on digital support.

SCITEPRESS is a member of CrossRef and every paper on their digital library is given a DOI (Digital Object Identifier).

The proceedings will be submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.

A short list of best papers will be invited for a post-conference special issue of the Springer Nature Computer Science Journal.

A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a LNCS Series book (final approval pending).

Important Dates

Conference Date: 2 - 4 March, 2026

Type	Deadline
Regular Papers	October 2, 2025
Authors Notification	December 4, 2025
Camera Ready	December 19, 2025
Position/Regular Papers	November 13, 2025
Authors Notification	December 19, 2025
Camera Ready	January 13, 2026
Workshop Proposal	October 29, 2025
Special Session Proposal	October 29, 2025
Tutorial Proposal	January 23, 2026
Demo Proposal	January 23, 2026
Panel Proposal	January 23, 2026
Abstract Submission	December 17, 2025
Authors Notification	January 14, 2026
Camera Ready	January 22, 2026

Note: All dates refer to AOE time, i.e. "Anywhere on Earth"

Secretariat

ICPRAM Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
2900-616 Setúbal - Portugal
Tel.: +351 265 520 185
Fax: +351 265 520 186
e-mail: icpram.secretariat@insticc.org
Web: https://icpram.scitevents.org

Conference Co-chairs

• Ana Fred, Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon), Portugal
• Maria De Marsico, Sapienza Università di Roma, Italy

Program Co-chairs

• Modesto Castrillon-Santana, Universidad de Las Palmas de Gran Canaria, Spain
• Daniel Riccio, University of Naples, Federico II, Italy