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6th Workshop on Patent Mining (PatentSemTech2025) @ SIGIR
March 1st, 2025 
Daniela Lopez de Luise The PatentSemTech2025 workshop, co-located with SIGIR 2025
(sigir2025.dei.unipd.it/) in Padua, Italy, aims to bring together
deep learning, natural language processing (NLP), and patent mining, analysis,
and retrieval. As a forum for researchers and practitioners from the patent
domain, we are interested in all kinds of insights from the intellectual
property (IP) domain.
Workshop website: ifs.tuwien.ac.at/patentsemtech/
Important Dates
===============
Submission deadline: April 23, 2025
Notification: May 21, 2025
SIGIR PatentSemTech2025 workshop: July 17, 2025
Topics of Interest
==================
We encourage submissions of high quality research papers on all topics related
to patents. Topics of interest include (but are not limited to):
+ Information retrieval, text mining, machine learning, large language models (LLMs),
… applied to patents, in particular for:
– Representation learning
– Multi-modal retrieval and analysis
– Retrieval augmented generation (RAG)
– Application of LLMs
– Large language model pre-training and fine-tuning
– Explainability and interpretation
– Query expansion / rewriting
– Clustering and classification
– Recommendation
– IPC/CPC prediction
– Trend detection
– Entity extraction
– Linking semantic information
– Integrating external knowledge sources
– Patent landscaping
– Hot spot / White spot analysis
– Technology trend analysis
– Visual user interface concepts
– Metadata and citation analysis
– Evaluation, benchmarks, and metrics
Call for Contributions
======================
We solicit two types of submissions from both, industry and academia:
full papers and short papers. All submissions will be peer-reviewed by at least
two program committee members and evaluated based on innovativeness, novelty,
interestingness, impact and fit to the workshop's topics.
+ For full papers we solicit contributions that present novel and mature research work.
+ For short papers we solicit contributions that present research ideas, demos,
case studies, and system descriptions.
Submission Guidelines
=====================
Submissions must be in English as PDF and making use of the CEUR two-column conference format.
The LaTeX files for the new CEURART style are available as Overleaf template:
www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/hpvjjzhjxzjk
and as downloadable ZIP file ceur-ws.org/Vol-XXX/CEURART.zip.
Please use the “twocolumn” option.
Submissions should have at most 8 (full) or 4 (short) pages (plus unlimited references).
Submissions should be submitted electronically via EasyChair:
www.easychair.org/conferences/?conf=patentsemtech2025.
At least one author of each accepted paper is required to register for,
and present the work in person at the workshop.
Publication
===========
Accepted papers will be published as CEUR proceedings. Selected
contributions will be invited to submit extended, full papers to
Elsevier’s World Patent Information (WPI) journal:
www.journals.elsevier.com/world-patent-information/
Organizers
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Ralf Krestel (ZBW & CAU Kiel, Germany),
Hidir Aras (FIZ Karlsruhe, Germany),
Linda Andersson (Artificial Researcher, Austria),
Florina Piroi (Data Science Studio, RSA FG, Austria),
Allan Hanbury (TU Wien, Austria),
Dean Alderucci (CMU, USA)
All questions about submissions should be emailed to:
Call for Contests – CAIP 2025
March 1st, 2025 Daniela Lopez de Luise Dear Colleagues,
We are pleased to announce the Call for Contests for CAIP 2025, the 21st International Conference on Computer Vision, Image Analysis & Processing, and Pattern Recognition. The conference, to be held in Las Palmas de Gran Canaria, Spain, from September 22-25, 2025, invites proposals for contests aimed at advancing the development of computer vision and pattern recognition algorithms through objective evaluation on common datasets.
Proposal Guidelines
Contest proposals should include:
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Title and Abstract
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General Problem Description
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Dataset Information
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Contest Tasks and Evaluation Metrics
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Contest Website Plans
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Organizer Contact Details and Brief CVs
Proposals should be submitted as a PDF to caip2025@ulpgc.es by March 1, 2025.
Notifications of acceptance will be sent by March 15, 2025.
Contest Requirements
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Contests must run before the conference
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Datasets should be made available after the contest
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Evaluation methodologies must be transparent and objective
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Contests must have enough participants to ensure meaningful results
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Organizers will present the contest and results at a special CAIP 2025 session
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Accepted contest reports will be published in the CAIP 2025 proceedings
For more details, visit: https://caip2025.com
We encourage the research community to contribute and help advance the field through these challenges. Looking forward to your proposals!
Best regards,
The Organizing Committee
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David Freire-Obregón (Profesor Titular de Universidad) Computer Science Department
david.freire (at) ulpgc.es
CAMPUS UNIVERSITARIO DE TAFIRA
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DDP 2025
March 1st, 2025 Daniela Lopez de Luise Fifth International Conference on Digital Data Processing (DDP 2025)
University of Bedfordshire. Luton. (Near London) UK.
August 18-20, 2025
(www.socio.org.uk/ddp)
(IEEE approval pending)
August 18-20, 2025
(www.socio.org.uk/ddp)
(IEEE approval pending)
As technology advances in different sub-domains of computing,
data-driven models are becoming increasingly important. The
data-dependent world now faces many challenges in terms of data accuracy
and data privacy. High-impact advancements include machine learning,
artificial intelligence, deep learning and many more. Data is growing
exponentially in terms of diversity and complexity. One organization or
industry processes over a few million transactions per hour and stores
hundreds of billions of data. We live in a world with a great need for
more efficient data analysis and processing. Data analytics can reveal
hidden patterns, complex relationships, internal information relations,
and even segmentation. Data applications have opened up new
possibilities in every aspect of our lives. Studying data and its
structure, dynamics, and modern data technologies is ongoing. There is a
great deal of literature and research on data management, but it does
not address the data processing needs. Many studies focus on developing
models and systems for analysing large datasets.
Data analysis leads to application domains that have a systematic impact
on decisions. The knowledge gained from the data analysis enables the
generation of critical information for multiple domains. In this
conference, we review and discuss the latest trends in data management,
the opportunities and challenges, and how they have affected
organizations' ability to develop effective business and technology
strategies and stay up-to-date in data technology. We also highlight
current open research directions in data analytics that need further
attention.
The proposed conference will discuss topics not limited to
Data applications in various domains and activities
Data in cloud
Real-world data processing
Data inaccuracy and reliability issues
Data Ecosystem
Business Analytics
New data analytics techniques
Physical and management challenges
Synthetic data
Data synthesis
Crowdsourcing and Sensing
Data modelling
Deep learning techniques
Data fusion
Descriptive analytics, Diagnostic analytics, Predictive Analytics, and
Prescriptive analytics
Machine learning impact on data processing
Network optimization
Data in Biomedical Engineering
Data in Materials science and mechanics
Data handling and applications in domains
Wireless Networking Data Management
Data of Electronic & Embedded Systems
Multi-media Systems Data
Artificial Intelligence Models and Systems Data
E-Computing Data
Renewable Energies Data
General Chair
General Chair
Ezendu Ariwa
Warwick University, UK
Program Chairs
Youshan Zhang, Yeshiva University, USA
Simon Fong, University of Macau, Macau
Duong Van Hieu, Tien Giang University, Vietnam
Program Co-chairs
Martin Lopez Nores, University of Vigo, Spain
Frankie Wilson, University of Oxford. UK
Publications
All accepted and presented papers will be submitted to IEEE Xplore for
publication and indexing.
The DDP 2025 has co-located workshops.
Modified versions of the papers will appear in the following journals.
Journal of Digital Information Management
International Journal of Computational Linguistics
Information Services & Use
Important Dates
Submission of Papers: June 20, 2025
Notification of Acceptance/Rejection: July 15, 2025
Camera-ready: August 10, 2025
Registration: August 10, 2025
Conference Dates: August 18-20, 2025
Post-Conference Proceedings Release: November 30, 2025
Paper submission
Papers should follow the IEEE template. Submissions at
http://socio.org.uk/ddp/paper-submission/
Contact: ddp@socio.org.uk
2nd call INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH) – Cambridge
March 1st, 2025 Daniela Lopez de Luise INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)
8 – 10 September 2025, Jesus College, University of Cambridge, UK
(2nd Call for Papers)
Deadline: 11 April 2025
Submission to AIiH 2025 is now open, with submission deadline the 11th of April 2025. AIiH 2025 is a single track conference with oral and poster presentations and will include 5 keynote presentations and one conference tutorial on LLM. The conference will also feature a plenary session that focuses on responsible AI for Healthcare. This second edition will be hosted in the Jesus College, University of Cambridge.
Authors are invited to submit full-length high-quality papers in both theory and/or application areas that are closely relevant to the conference. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation. Submissions for special sessions are also welcomed. Special session papers are reviewed in the same way as main sessions (double blind review for full papers and the same page limit) and papers are included in the proceedings for accepted full papers.
Full papers will be published in the Springer LNCS proceedings.
AIiH 2025 also welcomes short abstract submissions to be included as poster or short spot-light presentation at the conference. This is to both enable fast dissemination of promising preliminary findings and encourage attendance by a broader audience of early career researchers (including research students), healthcare professionals, and industrial practitioners. Abstracts will be archived with DOIs.
1. ABOUT THE CONFERENCE
AIiH aims to provide a prominent platform for researchers and practitioners who are devoted to improving healthcare using modern artificial intelligence. We recognise that healthcare applications present complex and sometimes unique challenges across a wide spectrum, from ethics to technical developments, that generic AI methods are often inadequate. By creating this dedicated forum, we encourage discussions and disseminations of efficient and effective AI solutions and technologies for healthcare, and in turn we hope to influence the research, technology adoption, and decision making in healthcare.
The first edition of the conference was held in the beautiful city of Swansea, with delegates from 20 different countries. The papers submitted to AIiH 2024 were thoroughly reviewed by up to four referees per paper and the full papers were published in the Springer LNCS proceedings. The best paper and best poster prizes were selected and awarded at the conference. Two finalists in the best paper category were invited to submit extended version to the Journal of Big Data Mining and Analytics (IF: 7.7). AIiH 2024 also offered 5 bursaries to students in order to encourage wider participation, particularly where financial support was needed. More details about AIiH 2024, including the 9 invited talks and conference proceedings, can be found here: aiih.cc/aiih-2024/
1. TOPICS OF INTEREST
The conference welcomes submissions of novel research work in the following areas, but not limited to:
– Ethics of AI in Healthcare
– Predictive Analytics in Healthcare
– AI driven proactive care and predictive intervention
– AI driven early diagnosis and prevention
– Machine and deep learning approaches for health data
– Medical signal and image processing
– AI-aided medical imaging (CT, MRI, ultrasound, histopathology, etc.)
– Digital and virtual pathology / neurology
– AI in Pharmacology: drug discovery and drug development
– AI driven Digital Twinning in Oncology/Medicine
– Precision Medicine and AI
– AI for drug screening and discovery
– AI led personalised healthcare
– AI-aided large-scale cohort data analyses
– Patient-centred AI design
– Assisted living technology
– Healthcare workflow optimisation and automation
– AI driven robotics for healthcare
– AI in mental health
– Patient data and privacy
– AI in proactive health management
2. KEYNOTE SPEAKERS
Prof. Kerstin Denecke
Bern University of Applied Sciences, Switzerland
Prof. Yulan He
Kings College London
Keynote Title: “Advancements in Pharmacovigilance with Large Language Models”
Prof. Daniel Elson
Imperial College London
Keynote Title: “AI for Surgical Imaging”
Prof. Elvira Perez Vallejos
University of Nottingham & RAI UK
Prof. John Gallacher
University of Oxford
3. CONFERENCE TUTORIAL
Dr. Meng Fang
University of Liverpool
Tutorial Title: “Large Language Models”
4. CALL FOR PAPERS
5. IMPORTANT DATES
Full Paper submission deadline: Friday 11 April 2025
Author notification: Monday 26 May 2025
Author registration deadline: Friday 13 June 2025
Early registration deadline: Monday 14 July 2025
Main conference: Monday 8 – Wednesday 10 September 2025
6. KEY ORGANISERS
GENERAL CHAIR
Daniele Cafolla, Swansea University, UK
PROGRAMME CHAIRS
Timothy Rittman, University of Cambridge, UK
Hao Ni, University College London, UK
7. CONTACT
Dr. Daniele Cafolla [he/him/dr]
Lecturer | Darlithydd
Robotics & Artificial Intelligence | Roboteg a Deallusrwydd Artiffisial
Employability Champion | Hyrwyddwr Cyflogadwyedd
Industrial Advisory Board Member | Aelod o'r Bwrdd Cynghori Diwydiannol
IEEE Senior Member | IEEE Uwch Aelod
Swansea University | Prifysgol Abertawe
Computational Foundry | Y Ffowndri Gyfrifiadol
Bay Campus | Campws y Bae
Fabian Way | Ffordd
Swansea | Abertawe
SA1 8EN | SA1 8EN
