What: International Symposium on Technological Advances in Human-Robot Interaction (TAHRI)
When: March 9–10, 2024
Where: Boulder, Colorado, USA
Web: https://tahri.org
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Updates:
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The proceedings of TAHRI 2024 will be published in the ACM International Conference Proceedings Series (ICPS).
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The paper submission site is now open! https://www.tahri.org/authors
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Want to learn more? Watch our info session hosted by Talking Robotics: https://www.youtube.com/watch?v=rc5nle94LSk
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Dear colleagues,
We are pleased to announce the call for papers for the 2024 International Symposium on Technological Advances in Human-Robot Interaction (TAHRI)! The submission site is now open: https://www.tahri.org/authors
Overview: TAHRI aims to be the premiere symposium for HRI research focused on the advancement of the underlying technology enabling the interaction between a robot and a human. The inaugural event will be held on March 9–10, 2024 in Boulder, Colorado, USA, two days before and co-located with the 2024 HRI conference!
Theme: The theme for the inaugural TAHRI is “Building Bridges Between Builders”, gathering HRI researchers and practitioners from academia, industry, government, and other research groups who are focused on the development of HRI technologies.
Topics: TAHRI seeks technological HRI contributions from a broad range of perspectives, including, but not limited to, robots, platforms, hardware, software, sensors, actuators, perception, control, algorithms, models, mechanisms, methods, interfaces, architectures, frameworks, benchmarks, datasets, tools, techniques, or other technologies that, with reasonable effort, can be incorporated into the design, development, or deployment of an HRI system.
Papers: TAHRI is an inclusive, community-focused venue that invites novel, high-quality technological HRI papers that will be peer-reviewed in a flexible process, presented live at the symposium, and indexed in archived ACM proceedings.
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Standard review papers are for technological HRI work intended to go through a full peer-review process (including internal and external reviewers).
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Rapid review papers are for technological HRI work that has been previously reviewed, but was either not indexed or not published, that has been revised based on previous reviewer feedback, and for which a summary of reviews, rebuttals, and revisions can also be submitted. These papers are part of a new rolling review process (from Nov. 6th, 2023 to Jan. 19th, 2024), with a fast turnaround notification (~3 weeks) and a limited number of submissions! See the website for important details.
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Short papers are for recent, ongoing, or otherwise promising technological HRI work with preliminary results or details of accessible artifacts that are relevant to the HRI research community and show potential to promote discussions at TAHRI. These papers will not be indexed in archived proceedings.
Important Dates:
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Nov. 6, 2023: Paper submission site opens
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~3 weeks after submission: Rapid review paper notification
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Dec. 1, 2023: Standard review paper deadline
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Jan. 19, 2024: Standard review paper notification / Rapid review paper deadline / Short paper deadline
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Feb. 2, 2024: Revise-and-resubmit deadline
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Feb. 9, 2024: Revise-and-resubmit notification / Short paper notification
Connect: For more information or to stay up-to-date on TAHRI, please visit the website (https://tahri.org), email us (info@tahri.org), or follow us on social media:
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X / Twitter: https://twitter.com/TAHRIorg
Organizers
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Ross Mead (Semio)
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Shelly Bagchi (NIST)
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Jason R. Wilson (Franklin & Marshall College)
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Emmanuel Senft (Idiap Research Institute)
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Reuth Mirsky (Bar-Ilan University)
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Daniel Hernández García (Heriot-Watt University)
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Jeremy Marvel (NIST)
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Megan Zimmerman (NIST)
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Justin Hart (University of Texas Austin)
Artificial Intelligence in Agriculture (AgriAI’24) – IEEE
November 14th, 2023 
Daniela Lopez de Luise **************************************************
Apologies for multiple posting.
Please distribute this call to interested parties.
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We are pleased to invite you to submit your original contributions to AgriAI'24 – the 2nd International Workshop on Artificial Intelligence in Agriculture,
which will take place as a satellite workshop to IEEE FedCSIS 2024, to be held in Belgrade, Serbia, on 8–11 September, 2024.
Please see the workshop website: https://2024.fedcsis.org/thematic/agriai and the general conference web page https://fedcsis.org/ for more information.
Artificial Intelligence (AI) is increasingly used in agriculture for a variety of uses, from plant disease detection to weeding automation, soil status monitoring, crop prediction, irrigation management, and decreased use of resources for improving quality and productivity. This workshop welcomes contributions related to a wide variety of interdisciplinary research and applications related to artificial intelligence in agriculture. AI can, in fact, provide highly positive effects on precision agriculture by optimizing, automating and forecasting several aspects of farming and revolutionizing the sector, providing helpful information and driving decisions using multiple sources of data and different sensors.
Moreover, in the climate change era, AI can improve sustainability by optimizing the use of resources such as water and soil management. We welcome innovative contributions, early results and position papers addressing one or more of the topics listed below and intend to foster informal discussions and bring together researchers, practitioners and industry experts to explore the challenges and opportunities of AI and Agriculture. We look forward to receiving your submissions and seeing you at the workshop!
Topics
Papers related to theories, methodologies, and applications in science and technology in the field of AI in Agriculture are especially solicited. Topics covering academic research, applications and lesson learnt are included, but not limited to:
- Computer vision in agriculture
- Signal and image processing in agriculture
- Computational intelligence in agriculture
- Artificial intelligence in agriculture
- Decision support systems
- Expert systems & predictive systems
- AI-based precision agriculture
- Machine learning and pattern recognition
- IoT in agriculture
- Food and livestock management
- Big data
- Remote sensing
- Unmanned aerial vehicle vehicles
- Autonomous driving in agriculture
- Harvesting automation
- Robotics and robotic perception in agriculture
- Digital twins for agriculture
- Data space for agriculture
- Ethics and social impact of AI on agriculture
- AI-based crowd-sensing and participatory approaches in agriculture
- Applications in agriculture
Submission rules
- Authors should submit their papers as Postscript, PDF or MSWord files.
- The total length of a paper should not exceed 12 pages IEEE style (including tables, figures and references). IEEE style templates are available at https://2024.fedcsis.org/for_authors/instructions
- Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Topical Area.
- Preprints containing accepted papers will be published online.
- Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
- Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be submitted for indexation according to information at https://2024.fedcsis.org/for_authors/indexation
- Organizers reserve right to move accepted papers between FedCSIS Tracks.
Thematic Track organizers
- Massimo Martinelli, Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy
- Davide Moroni, Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy
- Ales Procházka, University of Chemistry and Technology & Czech Technical University CIIRC, Prague, Czech Republic
- Karel Charvat, Czech Center for Science and Society, Prague, Czech Republic
Program Committee (in progress)
- Bacco, Manlio, Joint Research Centre, Varese Italy, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
- Branislav Kisacanin, The Institute for Artificial Intelligence Research and Development, Novi Sad, Serbia, Nvidia Corporation, Texas, USA
- Dahyot, Rozenn, Maynooth University Department of Computer Science, Dublin, Ireland
- Dubravko Culibrk, Institute for Artificial Intelligence Research and Development of Serbia, University of Novi Sad, Serbia
- Ienco, Dino, Territories, Environment, Remote Sensing and Spatial Information, Montpellier, France
- Majdik, András, Lászlóm, Institute for Computer Science and Control, Budapest, Hungary
- Mildorf, Tomas, University of West Bohemia, Pilsen, Czech Republic
- Milella, Annalisa, Institute of Intelligent and Industrial Technologies and Systems for Advanced Manufacturing, National Research Council, Bari, Italy
- Nutini, Francesco, Institute for Electromagnetic Sensing of the Environment, National Research Council, Milano, Italy
- Palma, Raul, Supercomputing and Networking Center, Poznan, Poland
- Salvetti, Ovidio, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
- Scozzari, Andrea, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
- Stavness, Ian, Department of Computer Science, Global Institute for Food Security, University of Saskatchewan, Saskatoon, Canada
- Töreyin, Behçet Uğur, Technical University, Istanbul, Turkey
- Toscano, Piero, Institute of Bioeconomy, National Research Council, Florence, Italy
- Trocan, Maria, Institute of Digital Technology, Paris, France
- Zerubia, Josiane, National Institute for Research in Digital Science and Technology, Sophia Antipolis, France
CFP – DEADLINE EXTENDED (17 Nov 2023): 6th AccML Workshop at HiPEAC 2024
November 14th, 2023 Daniela Lopez de Luise 6th Workshop on Accelerated Machine Learning (AccML)
Co-located with the HiPEAC 2024 Conference
(https://www.hipeac.net/2024/munich/)
January 17, 2024
Munich, Germany
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IET Image Processing Special Issue “Image and Video Processing for Sustainable Agriculture”
November 14th, 2023 Daniela Lopez de Luise Topics for this call for papers include but not restricted to:
- Weed detection, classification and quantification
- Image-based plant phenotyping
- Plant and crop disease classification and grading
- Multispectral and hyperspectral imaging in sustainable agriculture
- Imaging from satellites and unmanned aerial vehicles
- Autonomous driving in agriculture
- Harvesting automation
- Robotics and robotic perception in agriculture
- Ethics and social impact of AI and image processing in agriculture
- Image-based crowd-sensing and participatory approaches in agriculture
- Explainable AI in precision agriculture
- Federated learning in precision agriculture
- Temporal analysis of agricultural fields using time-lapse imaging
- Multimodal data fusion: combining satellite, aerial, and ground-level imaging
- 3D imaging and modeling for farm terrain analysis and planning
Expected Publication Month: October 2024
Guest Editors:
Davide Moroni
National Research Council of Italy (CNR)
Italy
Dimitrios Kosmopoulos
University of Patras
Greece
Third Call for Papers: Applied Sciences (IF: 2.7) Special Issue on “Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions”
November 14th, 2023 Daniela Lopez de Luise We are accepting papers for the Applied Sciences journal (Impact Factor: 2.7) special issue on “Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions”. The new deadline for manuscript submission is March 31, 2024, but your paper will be sent for review as soon as it is submitted and will be published shortly after being accepted.
We hope you will consider submitting your paper.
https://www.mdpi.com/journal/applsci/special_issues/NTMDOE41MY
Best regards,
Michal PTASZYNSKI, Ph.D., Associate Professor
Department of Computer Science
Kitami Institute of Technology,
165 Koen-cho, Kitami, 090-8507, Japan
TEL/FAX: +81-157-26-9327
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Applied Sciences (Impact Factor: 2.7)
Special Issue on “Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions”
Special Issue Information
During recent years, social infrastructure has become irreversibly linked to the Internet through its everyday manifestations, such as social networking services (Twitter, Facebook, etc.). Every second this new tangible information-based reality provides large amounts of data filled with 1) emotional expressions; 2) people's opinions on various topics; and 3) their reasoning, revealing their decision-making processes. As these three categories are also closely interrelated with each other, they should be studied together to obtain a more robust view on all of the topics involved. This, as never before, provides an opportunity for the development and application of natural language processing methods, in particular those regarding such topics as emotion processing, decision-making, and opinion mining.
For this issue, we invite high-quality papers from researchers with an interest in knowing more about those topics and their connection to the world we live in through opinion and sentiment analysis, recommendation systems, web mining, automated decision-making, etc. We also invite papers on the topic of using Natural Language Processing tools and methods to process emotions, metaphors, ethics, or other phenomena related to human activities.
List of Topics
The Special Issue will invite papers on topics listed, but not limited to the following:
– opinion mining
– decision support systems
– emotion detection
– sentiment analysis
– natural language processing
– computational linguistics
– NLP applications
– natural language generation
– emotional language processing
– humor and joke processing
– deceptive language detection
– emoticon processing
– automatic cyberbullying detection
– fake news detection
– abusive language processing
– story generation
– poetry generation
– cognitive agents
Guest Editors
Dr. Pawel Dybala
Dr. Rafal Rzepka
Dr. Michal Ptaszynski
Michal Ptaszynski
michal.ptaszynski@gmail.com