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by Casper Ghost 20 Sep '22

20 Sep '22

I'm subscribing in hopes that someone can please help me understand why the world hates me. Everyone but me knows what's going on with my life. Why? What was on the sd card that got me into this? What did I do to anyone to deserve all this? All I want is answers I'm tired of not knowing but everyone else does

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2nd CFP: FIRE track on Information Retrieval from Microblogs during Disasters (IRMiDis)
by Kripa Ghosh 21 Jun '22

21 Jun '22

*** Apologies for multiple posting *** *Information Retrieval from Microblogs during Disasters (IRMiDis)* https://sites.google.com/view/irmidis-fire2022/irmidis Track in conjunction with FIRE 2022 (http://fire.irsi.res.in/fire/2022/home), December 9-13, 2022, Kolkata (Hybrid Event) The IRMiDis track aims to develop datasets and methods for solving various practical research problems associated with a disaster or pandemic situation. The IRMiDis track has been run successfully with FIRE in the years 2017, 2018 and 2021. This year IRMiDis will consist of two important classification tasks over microblogs/tweets associated with the COVID-19 pandemic: (1) classifying tweets according to their vaccine-related sentiment (pro-vaccine, neutral, anti-vaccine) (2) identifying tweets that mention someone experiencing COVID-19 symptoms, which is useful for detecting upcoming surges in COVID cases For both tasks, we will provide training data annotated by human workers, and test data for evaluating the submitted models. *All participating teams will get to publish a working notes paper in the FIRE workshop proceedings. The two best-performing teams in each task will be awarded winner and runner-up certificates, and their names will be put up on the track website.* Training data has already been released. Participating teams need to submit runs by August 1. More details on how to participate are on the IRMiDis site: https://sites.google.com/view/irmidis-fire2022/irmidis. Kind Regards, *Kripabandhu Ghosh* Co-organizer IRMiDis

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PhD vacancy: Responsible Natural Language Processing and Machine Learning for Healthcare.
by Iacer Calixto 08 Jun '22

08 Jun '22

*** Apologies for cross-posting *** Dear colleagues, We have a fully-funded PhD position in the exciting area of Responsible Natural Language Processing and Machine Learning for Healthcare in the Amsterdam UMC <https://www.amsterdamumc.org/en/research.htm> at the University of Amsterdam <https://www.uva.nl/en>! Do you have a strong background in NLP and AI, and a keen interest in applications in healthcare, multilingual language models and model interpretability? Please consider applying, we are accepting applications until June 12, 2022! A few of the exciting projects you can contribute to include developing technology to predict risk of cancer from patients’ medical notes, and risk of developing mental disorders from electronic patient records and other non-clinical data (e.g., social media). The PhD will be jointly supervised by myself <https://iacercalixto.github.io/> and prof. Ameen Abu-Hanna <https://kik.amc.nl/home/aabuhanna/>! Apply here: https://werkenbij.amsterdamumc.org/en/vacatures/research/phd-natural-langua… (Please feel free to share with your students/communities) Have a great week, Iacer. *Iacer Calixto* | Assistant Professor of Artificial Intelligence in Medicine | Department of Medical Informatics, Amsterdam UMC, University of Amsterdam i.coimbra(a)amsterdamumc.nl | iacer.calixto(a)uva.nl | iacercalixto.github.io. <http://iacercalixto.github.io/> Member of the ACL <https://www.aclweb.org/portal/> and the ELLIS Society <https://ellis.eu/>.

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CFP: FIRE track on Information Retrieval from Microblogs during Disasters (IRMiDis)
by Kripa Ghosh 07 Jun '22

07 Jun '22

*** Apologies for multiple posting *** Information Retrieval from Microblogs during Disasters (IRMiDis)https://sites.google.com/view/irmidis-fire2022/irmidis Track in conjunction with the Annual Conference of the Forum for Information Retrieval Evaluation (FIRE 2022 - http://fire.irsi.res.in/fire/2022/home), December 9-13, 2022, Kolkata (Hybrid Event) The Information Retrieval from Microblogs during Disasters (IRMiDis) track aims to develop datasets and methods for solving various practical research problems associated with a disaster or pandemic situation. The IRMiDis track has been run successfully with FIRE in the years 2017, 2018 and 2021. This year IRMiDis will consist of two important classification tasks over microblogs/tweets associated with the COVID-19 pandemic. *** Task 1: COVID-19 vaccine stance classification from tweets *** It is important to understand the vaccine-stance of people in order to nudge people towards intake of COVID vaccines. With this motivation, this task aims to build an effective 3-class classifier on tweets with respect to the stance reflected towards COVID-19 vaccines. The 3 classes are: (1) AntiVax - the tweet indicates hesitancy (of the user who posted the tweet) towards the use of vaccines. (2) ProVax - the tweet supports / promotes the use of vaccines. (3) Neutral - the tweet does not have any discernible sentiment expressed towards vaccines or is not related to vaccines *** Task 2: Detection of COVID-19 symptom-reporting in tweets *** Quickly identifying people who are experiencing COVID-19 symptoms is important for authorities to arrest the spread of the disease. In this task, we explore if tweets that report about someone experiencing COVID-19 symptoms (e.g., 'fever', 'cough') can be automatically identified. The task is to build an 4-class classifier on tweets that can detect tweets that report someone experiencing COVID-19 symptoms. The 4 classes are: (1) Primary Reporting - The user (who posted the tweet) is reporting symptoms of himself/herself. (2) Secondary Reporting - The user is reporting symptoms of some friend / relative / neighbour / someone they met. (3) Third-party Reporting - The user is reporting symptoms of some celebrity / third-party person. (4) Non-Reporting - The user is not reporting anyone experiencing COVID-19 symptoms, but talking about symptom-words in some other context or giving only general information about COVID-19 symptoms. For both tasks, we will provide training data annotated by human workers, and test data for evaluating the submitted models. Details of how to participate are available at https://sites.google.com/view/irmidis-fire2022/irmidis. *** Timeline *** June 6 -- open track website and training data release July 15 -- test data release August 1 -- run submission deadline August 15 -- results declared September 15 -- Working notes due October 15 -- Camera ready copies of working notes and overview paper due *** Organisers *** Moumita Basu, Amity University Kolkata, India Soham Poddar, Indian Institute of Technology Kharagpur, India Saptarshi Ghosh, Indian Institute of Technology Kharagpur, India Kripabandhu Ghosh, Indian Institute of Science Education and Research, Kolkata, India Kind Regards, *Kripabandhu Ghosh* Co-organizer IRMiDis

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CFP: Symposium on Artificial Intelligence and Law (SAIL 2022)
by Kripa Ghosh 25 May '22

25 May '22

[apologies for cross-posting ] *Symposium on Artificial Intelligence and Law (SAIL 2022)* June 6–9, 2022 | Virtual event https://sites.google.com/view/sail-2022/ CALL FOR PARTICIPATION The 2nd edition of the Symposium on Artificial Intelligence and Law (SAIL 2022) aims to bring together experts from Industry and Academia to discuss the future of AI and Law. The Symposium aims to provide a venue for AI-Law researchers and Law practitioners to present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from applications of AI in the Legal Domain. The Symposium is being organized by AI researchers from IIT Kharagpur, IIT Kanpur, IIT(ISM) Dhanbad, IISER Kolkata, TCG CREST, CSIRO Australia, University of Glasgow, University College London, and Law researchers from WBNUJS, Kolkata, India. == Invited talks == The symposium will have invited talks from the following eminent researchers: * Bruce Hedin - President and Director of Science, Technology, and Ethics Consulting, Hedin B Consulting, USA * Elliot Ash - Assistant Professor of Law, Economics, and Data Science at ETH Zurich's Center for Law & Economics, Switzerland * Graham McDonald - Lecturer, School of Computing Science, University of Glasgow, Scotland * Karl Branting - Chief Scientist, Machine Learning for Computational Law, The MITRE Corporation, USA * Ken Satoh - Professor, National Institute of Informatics, Japan * Michal Araszkiewicz - Department of Legal Theory, Jagiellonian University, Poland; Partner at Araszkiewicz Cichoń Araszkiewicz Law Firm, Poland * Tom Vacek - Senior Research Scientist, Thomson Reuters, USA * Trevor J.M. Bench-Capon - Honorary Visiting Professor, Department of Computer Science, University of Liverpool, UK Details are available on the symposium website https://sites.google.com/view/sail-2022/. == Participation (virtual) == Anyone interested in Law or application of AI in the legal domain is welcome to attend. Participation is free of cost, but prior registration is necessary on the symposium website (see under the "Participate" tab) by June 2. Kind Regards, *Kripabandhu Ghosh* Co-organizer SAIL 2022

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Call for Participation / EU COST Action `Multi3Generation' Training School
by Iacer Calixto 29 Apr '22

29 Apr '22

Apologies for cross-posting! === Call for Participation / EU COST Action `Multi3Generation' Training School *TRAINING SCHOOL 2022* *REPRESENTATION MEDIATED MULTIMODALITY: *GROUNDED REPRESENTATION, REASONING, AND LEARNING FOR INTERACTIVE INTERPRETATION https://codesign-lab.org/school2022/ Initiative of EU COST Action / Multi3Generation > https://multi3generation.eu *ABOUT THE TRAINING SCHOOL* The training school on ``Representation Mediated Multimodality'' provides a consolidated perspective on the theoretical, methodological, and applied understanding of representation mediated multimodal sensemaking at the interface of language, knowledge representation and reasoning, and visuo-auditory computing. Intended purposes -addressed in the school- encompass diverse operative needs such as explainable multimodal commonsense understanding, multimodal generation/synthesis for communication, multimodal summarisation, multimodal interpretation guided decision-support, adaptation & autonomy, and analytical visualisation. The training school particularly consolidates and presents a novel and emerging view of state-of-the-art multimodal, neurosymbolic grounding primarily through a confluence of methods in Artficial Intelligence, Computational Linguistics, Vision, Speech and their impact on interactional and communicative acts/artefacts in everyday life and specialist professional work. Here, multimodal interpretation is to be construed in the context of diverse forms of imagery, e.g., encompassing perceptual and communicative data sources such as image, video, language, audition, text, eye-tracking, neurophysiological markers in behavioural / clinical settings. In this backdrop, the training school particularly focusses on grounded knowledge representation, reasoning, and learning (for linguistic purposes) through the following emerging research-driven themes that are of high interest: - Space and Language - Computational Linguistics - Cognitive Linguistics - Cognitive Vision - Vision and Language - Neurosymbolism - Narrative - Discourse - Computational Models of Narrative - Speech and Language Technologies - Human-Centred AI The principal training school programme --consisting of keynotes, invited talks, and tutorials-- will categorically address questions such as: - Explainability and transparency in multimodal models - Neurosymbolism / Interaction between symbolic and sub-symbolic representations in models - Commonsense knowledge representation and reasoning, and its role in multimodal models - Complementarity / redundancy among data sources or modalities - Situated reasoning, e.g., for language generation, decision-making Of particular significance to the training school are themes that benefit both public and private human-centred technological services most directly affecting EU citizens in an accessible, multilingual Europe, and have strong economic and societal impacts. The training school will focus on human-machine interaction considerations in select application areas of emerging societal significance, such as autonomous systems, cognitive robotics, multi-lingual language technologies. Location: Schloss Etelsen / Bremer Straße 2, 27299 Langwedel, Germany Travelling to Schloss Etelsen / https://schloss-etelsen.de <http://schloss-etelsen.de/> The school is being organised as part of the COST action Multi3Generation ( https://multi3generation.eu) For more information on the school and programme visit: https://codesign-lab.org/school2022/ *TARGET AUDIENCE* Participants are expected to primarily be doctoral candidates and research-driven students. Participants interested in obtaining a scholarship should submit an application to participate as per Application Guidelines (details below). Selected applicants will be financially supported for their participation in the school. The Scholarship includes travel expenses and a daily allowance which covers accommodation, meals, and local travel expenses. The exact amount of the scholarship is based on the expected costs and the maximal amount for reimbursement will be communicated after acceptance. *APPLICATION -OR- EXPRESSION OF INTEREST* Applications are accepted and evaluated in two rounds, with a first deadline on *May 15 2022*, and a second deadline on *June 5 2022*; after this date, new applications will only be considered if there are still places available (please note that places are limited even if a scholarship is not sought). - Application to participate (with scholarship): PRESENTLY OPEN / Submit: Easychair: Training School 2022 <https://easychair.org/conferences/?conf=dcts2022> - Expression of interest to participate (without scholarship): PRESENTLY OPEN / Email: contact School Chair *Important Dates: * - First deadline : May 15 2022 (application process remains open for late applications) - First notification: May 23 2022 - Second deadline: June 5 2022 - Second notification: June 13 2022 *SCHOLARSHIP ELIGIBILITY AND GUIDELINES * For participation with a scholarship, the Training School is primarily (but not exclusively) aimed at early stage doctoral researchers and research-inclined students enrolled full-time in an advanced educational programme. Eligible candidates have to comply with the COST Vademecum ( https://www.cost.eu/uploads/2021/04/Vademecum-28-April-2021.pdf), i.e., they shall be affiliated to, an academic institution, organisation or company which has within its remit a clear association with performing research and is from a COST Full Member, a COST Cooperating Member country, or a Near Neighbour Country (NNC) (https://www.cost.eu/about/members/). Eligible candidates need to submit the following items in a single PDF document via Easychair: 1. One-page CV 2. Reference letter by principal research/thesis advisor, motivating the need for financial support 3. In max 300 words, Research Description (if already pursuing a thesis or similar), or else a Motivating Statement of Interest in the topics of the school. If applicable, also include at most two brief citations to your own most relevant peer-reviewed publications (do not cite unpublished or informal publications). 4. Candidates who receive a Scholarship to join the Training School are expected to participate and present their research in a doctoral colloquium during the school; further guidelines about the doctoral colloquium will be provided with the letter of acceptance. *SELECTION CRITERIA* Applicants will be selected based on personal research interest and experience relevant to the school’s theme and topics. The selection committee will do their best in terms of ensuring fair and inclusive distribution with respect to gender, geographic location. Following acceptance, applicants will have to register via the e-COST platform and add their banking and other details in order to receive a formal invitation via e-COST and be eligible for reimbursement of costs. A requirement to be reimbursed is that accepted participants officially apply to become members of Multi3Generation (details will be provided as part of the notification). *ORGANIZATION* *Training School 2022 Chairs* - Mehul Bhatt (Örebro University, Sweden) - Albert Gatt (Utrecht University, Netherlands) - Erkut Erdem (Hacettepe University, Turkey) - Helena Moniz (University of Lisbon, Portugal) *Doctoral Colloquium Chairs* - Adrian Muscat (University of Malta, Malta) - Jakob Suchan (DLR, Germany) *Publicity and Industrial Outreach Chairs* - Iacer Calixto (University of Amsterdam, Amsterdam University Medical Centers, Netherlands) - Fabio Kepler (Unbabel) - José Guilherme Camargo de Souza (Unbabel)

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2nd IEEE ICTS4eHealth Conference: deadline extended to April 4, 2022
by Ivanoe De Falco 28 Mar '22

28 Mar '22

Dear colleagues, this message is to inform you that, due to many requests, the paper submission deadline has been extended to APRIL 04, 2022. Please note that this new deadline is firm and final. Yours sincerely IEEE ICTS4eHealth Conference Chairs ======================================================= 2nd Edition of IEEE International Conference on ICT Solutions for e-Health ICTS4eHealth 2022 Rhodes, Greece, June 30 - July 03, 2022 www.icts4ehealth.icar.cnr.it in conjunction with the Twenty-Seven IEEE Symposium on Computers and Communications Submit your paper by using the link: https://edas.info/N29419 ======================================================= MISSION: ----------------------------------------------------------------------------------------------- e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers. Following five successful workshop editions, last year ICTS4eHealth became an International IEEE Conference, and we are now proud to announce the second edition of this popular conference dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence. The conference will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence techniques in the area of eHealth. TOPICS: ----------------------------------------------------------------------------------------------- - Cloud computing applications for eHealth - Internet of Things (IoT) applications for eHealth - Assistive Technology (AT). - Informatization, Management and Organization of BME Environments - Bioinformatics and Computational Biology and Medicine - Communication, Networking and Monitoring in Bio-systems - Monitoring of Vital Functions with Sensor and ICT Systems - Biosensors and Sensor Networks - Advanced Bio-signal Processing - Distributed BME Applications - Telehealth, Telecare, Telemonitoring, Telediagnostics - e-Healthcare, m-Healthcare, x-Health - Assisted Living - Smartphones in BME Applications - Social Networking, Computing and Education for Health - Computer Aided Diagnostics - Improved Therapeutic and Rehabilitation Methods - Intelligent Bio-signal Interpretation - Data and Visual Mining for Diagnostics - Advanced Medical Visualization Techniques - Personalized Medical Devices and Approaches - Modelling and Computer Simulations in BME - Human Responses in Extreme Environments - Other Emerging Topics in BME - E-Accessibility - Web accessibility - Hardware & Software personalized assistive technologies - Assistive systems for users who are blind or visually impaired - Cloud computing and AT - Integration between home-based assistive technologies and patient health data - User-centered design of electronic assistive technologies - Usability of assistive technologies - Computer vision in AT - User interfaces for home-based assistive technologies - Use of prescription systems and assistive technologies - Experience from real world assistive environment deployment - Assistive Technologies for Urban Environments - Healthcare modeling and simulation - Knowledge discovery and decision support - Biomedical data processing - Wearable devices - Sensor-based mHealth applications IMPORTANT DATES: ----------------------------------------------------------------------------------------------- • Submission deadline: APRIL 04, 2022 (EXTENDED) • Notification of paper acceptance: APRIL 29, 2022 (EXTENDED) • Submission of camera-ready papers: May 06, 2022 • Registration: May 06, 2022 PAPER SUBMISSION: ----------------------------------------------------------------------------------------------- Manuscripts should describe original work and should be no more than 7 pages for full papers and 4 pages for short papers in the IEEE double column proceedings format including tables, figures and references. Download manuscript templates for IEEE conference proceedings from: https://www.ieee.org/conferences_events/conferences/publishing/templates.ht… Note that accepted papers up to 6 pages will be published with no additional charge. Exceeding pages will be charged an additional fee. Papers exceeding 7 pages will not be accepted. In IEEE ICTS4eHealth 2022, as well as in IEEE ISCC 2022, all submissions must be done through EDAS by using the link https://edas.info/N29419. Accepted papers will be included in the IEEE ISCC 2022 Proceedings and will be submitted for inclusion to IEEE Xplore. The ISCC Proceedings have been indexed in the past by ISI, dblp and Scopus. This makes the ISCC conference one of the publication venues with very high visibility and impact in both Computer and Communications areas. BEST PAPER AWARD: ----------------------------------------------------------------------------------------------- A "Best Paper Award" Certificate will be conferred on the author(s) of a paper presented at the workshop, selected by the Chairs based on scientific significance, originality and outstanding technical quality of the paper, as assessed also by the evaluations of the members of the Program Committee. Please visit http://icts4ehealth.icar.cnr.it for more information and if you have any questions kindly get back to us by sending an email Kind regards, IEEE ICTS4eHealth 2022 Organization

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Fully-funded PhD in the University of Amsterdam - Responsible NLP and data management for mental health
by Iacer Calixto 07 Mar '22

07 Mar '22

*Fully-funded PhD *on* responsible natural language processing and data management for mental health *at the *University of Amsterdam*: https://vacatures.uva.nl/UvA/job/PhD-Position-in-Responsible-Natural-Langua… Great opportunity to design, build, and evaluate state-of-the-art neural pipelines including cross-lingual / domain adaptation, and to look into data integration (clinical / non-clinical), among other cool topics! This position has a very unique setup where you will be also affiliated with the Academic Medical Center (AMC-UvA) <https://www.amc.nl/web/home.htm>, the Data Science Center <https://dsc.uva.nl/>, and the data engineering lab (INDELab <https://indelab.org/>).

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confirmation mail!!
by 066 Chaitanya Rai 03 Mar '22

03 Mar '22

confirmation mail!!

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[CFP, deadline March 4th] Las Palmas de Gran Canaria, Spain, hosts APPIS 2022 - 22-25 March 2022
by n.strisciuglio＠rug.nl 01 Mar '22

01 Mar '22

Deadline for submission on March 4th The 4th International Conference on Applications of Intelligent Systems, APPIS 2022, will be held on 22-25 March 2022 in Las Palmas de Gran Canaria, Spain. APPIS 2022 is organized by the University of Groningen, University of Twente and the University of Las Palmas de Gran Canaria, and includes a <http://appis.webhosting.rug.nl/2022/wismal-2022/> Winter School on Machine Learning (WISMAL 2022). APPIS 2022 aims at bringing together scientists who develop or apply intelligent systems, machine learning, artificial intelligence, pattern recognition, and related methods. APPIS 2022 welcomes (but is not limited to) abstract contributions related to the following topics: * Images, videos and time-series analysis * Machine learning and representation learning * Statistical and structural pattern recognition * Data visualization and dimensionality reduction * Robotics * Intelligent systems in health and medicine * Cyber computing and security * Bio-informatics * Data mining * Deep and reinforcement learning * Cognitive discovery * Algorithms for embedded and real-time systems * Semantic technologies * Intelligent buildings * Intelligent sensors and sensor networks * Augmented reality * Adaptive systems * Fuzzy systems * Human-machine interaction * Natural language processing * Situation awareness systems * Recommender systems ============================================================= APPIS 2022 accepts submissions of abstracts (1-2 pages in the ACM format). Abstracts must be submitted electronically through the APPIS 2022 conference web site in pdf format. Find more information in the submission page. Each accepted contribution must be presented by one of the authors and accompanied by at least one full registration fee payment. Registration fee: 200 Euro, including participation in the Winter School on Machine Learning, WISMAL 2022. Since the number of participants is limited to 70, we recommend you to register and secure your participation as soon as possible. =============================================================| Winter School on Machine Learning - WISMAL 2020 APPIS includes a short winter school consists of several tutorials that present different techniques of Machine Learning. Please find more information at the <http://appis.webhosting.rug.nl/2022/wismal-2022/> WISMAL 2022 page. The participation in the winter school is free of charge for registered participants in APPIS 2022. The number of participants in the winter school is limited to 70 and early registration is encouraged. ============================================================= Abstract paper due - 4 March 2022 Abstract acceptance notification - 8 March 2022 Early registration - 15 March 2022 Conference - 22-25 March 2022 Please find more information on the <http://appis.webhosting.rug.nl/2022/> conference website. the conference co-chairs Nicolai Petkov Nicola Strisciuglio Carlos Travieso-Gonzalez

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