Matteo Al Kalak (University of Modena e Reggio Emilia); Lorenzo Baraldi (University of Modena e Reggio Emilia); Andrea Brunello (University of Udine); Emanuela Colombi (University of Udine); Gian Luca Foresti (University of Udine)
ViDiScript. Visual Processing of Digital Manuscripts: Workflows, Pipelines, Best Practices at ICIAP 2023
May 30th, 2023
Daniela Lopez de Luise IEEE ICCI*CC’23: Frontiers in Cognitive Computing | Cognitive Informatics | Intelligent Computing | Autonomous AI | Autonomous Learning | Autonomous Intelligence Generation @Stanford Univ.
May 30th, 2023
Daniela Lopez de Luise ******************************************************************
Dear Colleague,
The IEEE ICCI*CC series (https://www.i2cicc.org/ieee-iccicc-series) is a flagship conference of its field sponsored by IEEE CS, CIS, and SMC. Following the previous 21 successful conferences on Cognitive Informatics and Cognitive Computing (ICCI’02 through ICCI*CC’22), the 22nd IEEE Int’l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC’23, hybrids) focuses on themes of Autonomous AI, Cognitive Computers, Cognitive Machine Learning, Intelligent Computing, Autonomous Systems, and Cognitive Robots. ICCICC’23 welcomes researchers, practitioners, and graduate students to join the international initiative on cognitive informatics and cognitive computing toward the investigation of cognitive mechanisms and processes of human intelligence generation, brain-inspired systems, and the development of the next generation of cognitive computers and autonomous AI.
Research papers or special workshop/session proposals for IEEE ICCI*CC'23 are welcome. The paper submission site is at: https://easychair.org/conferences/?conf=ieeeiccicc2023. Proceedings of ICCI*CC'23 will be published by IEEE CS Press (indexed by EI, Google Scholar, etc.). Selected papers will be recommended to be published in SCI and EI indexed transactions and journals such as IEEE SMC-Letters and Frontiers in Computer Science (FCS).
Full papers are expected to be around 6-8 pages in IEEE double column format. Short papers (4-5 pages) that report industrial experience, case studies, work in progress, or graduate students’ research are welcome.
We look forward to meeting you in IEEE ICCI*CC’23 (hybrid) at Stanford University
during Aug. 19-21, 2023.
Sincerely,
IEEE ICCI*CC'22 Co-Chairs
Live e-Lecture by Prof. Pascale Fung: “Safer Generative ConvAI”, 1 June 2023, 15:00 CET
May 30th, 2023
Daniela Lopez de Luise
Prof. Pascale Fung, a prominent AI researcher internationally, will deliver the e-lecture:
“Safer Generative ConvAI”, on June 1st, 2023 15:00 CET,
see details in: http://www.i-aida.org/ai-lectures/
For connecting one needs to fill in this form: https://www.hitz.eus/en/webinar_izenematea
The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation,
is very pleased to offer you top quality scientific lectures on several current hot AI topics.
Lectures will be offered alternatingly by:
Top highly-cited senior AI scientists internationally or
Young AI scientists with promise of excellence (AI sprint lectures)
Other upcoming lecture:
Professor Dr. Matthew Gombolay: “Explainable and Interactive Robot Learning Systems”, on June 7th, 2023, 2pm CEST.
More lecture info in: https://www.i-aida.org/events/explainable-and-interactive-robot-learning-systems/
These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels).
If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.
Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, , J. Stefanowski
Arsat-SG1 Satélite geoestacionario argentino de comunicaciones _ Jueves 08 de junio, 18.30hs ((Semana de la Ingeniería))
May 30th, 2023
Daniela Lopez de Luise Querido/a colega, siguiendo con las actividades de la Semana de la Ingeniería, te invito en esta oportunidad a ser parte del encuentro Arsat-SG1 Satélite geoestacionario argentino de comunicaciones, a celebrarse el próximo jueves 08 de junio, de 18.30hs a 20.00hs, en el salón de actos de nuestra sede de Paseo Colón 850.
Inscripción: https://forms.gle/W51VnM2ZeUQUGq3t9
El ARSAT-SG1, será el tercer satélite de la flota geoestacionaria de la empresa ARSAT. De propulsión eléctrica, brindará banda ancha satelital Ka y estará dotado con la última tecnología para brindar conectividad a cualquier punto del país y países limítrofes.
El proyecto, llevado adelante por ARSAT, junto a INVAP y en alianza estratégica con la empresa Turkish Aerospace Industries (TAI) implica diversos desafíos de ingeniería, que serán presentados y discutidos en este encuentro, junto al Ing. Juan Aurelio, jefe de Operaciones Satelitales de ARSAT.
Te envío un abrazo grande y te agradezco la colaboración en la difusión de esta actividad, la seguimos pronto,
1st Workshop on Federated Learning in Medical Imaging and Vision
May 30th, 2023
Daniela Lopez de Luise 1st Workshop on Federated Learning in Medical Imaging and Vision
Held in conjunction with the “22nd International Conference on Image Analysis and Processing (ICIAP)” – September 11-15, 2023, Udine (Italy)
Web site: https://fedmedw.github.io/
ICIAP 2023 is the 22nd edition of a biennial series of conferences by CVPL, the Italian Member Society of the International Association for Pattern Recognition (IAPR). The conference focuses on classic and recent trends in computer vision, pattern recognition, and image processing and covers theoretical and applicative aspects. The event is hosted by the University of Udine, located in the downtown center of Udine. Udine is located in Friuli Venezia Giulia region, in the North East of Italy. Udine is about 140 km from Venice and 80 km from Trieste.
The 1st Workshop on Federated Learning (FL) in Medical Imaging and Vision aims to bring together researchers and practitioners with a common interest in FL for visual tasks, focusing on medical imaging, to address this research area's open questions and challenges.
Topics
The workshop aims to attract novel and original contributions exploring federated and collaborative learning with its challenges and peculiarities. Expected submissions should cover, but are not limited to, the following topics:
- Novel approaches of Federated, Distributed, and Collaborative Learning in medical imaging applications
- Topologies: Server-centric, peer-to-peer, cyclic, swarm learning, etc.
- Decentralized Learning
- Dealing with heterogeneous and unbalanced (non-IID) data distributions
- Security and privacy of FL systems
- Personalized FL models
- New Datasets for FL
- Optimization methods for distributed and collaborative learning
- Adversarial, inversion, back-dooring, and other forms of attacks on distributed and federated learning
- Model sharing techniques
- Novel applications of FL techniques: image classification, segmentation, reconstruction, regression; multi-task learning, model agnostic learning, meta-learning, unsupervised
- Applications of federated, distributed, and collaborative learning techniques in the medical field.
- Explainability and interpretability in FL
- Federated continual learning
- Asynchronous FL
Important dates
Paper submission deadline: June 30, 2023
Notification to authors: July 30, 2023
Camera-ready deadline: August 15, 2023
Proceedings
Accepted papers will be published in Springer LNCS in a separate proceedings book.
Organizers
Simone Palazzo (University of Catania)
Federica Proietto Salanitri (University of Catania)
Matteo Pennisi (University of Catania)
Chen Chen (University of Central Florida)
Bruno Casella (University of Turin)
Gianluca Mittone (University of Turin)
We hope to see you in Udine!




