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Title: The First IEEE International Conference On Artificial Intelligence Testing
by Sravya Somisetty 08 Nov '18

08 Nov '18

Important Dates Workshop/Tutorial proposals: Nov. 15, 2018 Abstract submission: Dec. 7, 2018 Full paper submission: Dec. 21, 2018 12:00 AOE (firm) Notification: Feb. 15, 2019 (firm) Final Paper and Registration: Feb. 28, 2019 (firm) Conference: Apr 4 - 9, 2019 About The Conference: Artificial Intelligence (AI) technologies are widely used in computer applications to perform tasks such as monitoring, forecasting, recommending, prediction, and statistical reporting. They are deployed in a variety of systems including driverless vehicles, robot controlled warehouses, financial forecasting applications, and security enforcement and are increasingly integrated with cloud/fog/edge computing, big data analytics, robotics, Internet-of-Things, mobile computing, smart cities, smart homes, intelligent healthcare, etc. However, the quality assurance of existing AI application development processes is still far from satisfactory and the demand for being able to show demonstrable levels of confidence in such systems is growing. Software testing is a fundamental, effective and recognized quality assurance method which has shown its cost-effectiveness to ensure the reliability of many complex software-systems. However, the adaptation of software testing to the peculiarities of AI applications remains largely unexplored and needs extensive research to be performed. On the other hand, the availability of AI technologies provides an exciting opportunity to improve existing software testing processes, and recent years have shown that machine learning, data mining, knowledge representation, constraint optimization, planning, scheduling, multi-agent systems, etc. have real potential to positively impact on software testing. Recent years have seen a rapid growth of interests in testing AI applications as well as application of AI techniques to software testing. It is, therefore, timely to provide an international forum for researchers and practitioners to exchange novel research results, to articulate the problems and challenges from practices, to deepen our understanding of the subject area with new theories, methodologies, techniques, processes models, etc., and to improve the practices with new tools and resources. This is the aim of the IEEE conference on AI Testing.

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Extended deadline 7 Nov - [CfP] APPIS 2019 in Las Palmas
by Nicola Strisciuglio 25 Oct '18

25 Oct '18

The 2nd International Conference on Applications of Intelligent Systems, APPIS 2019 <http://appis.webhosting.rug.nl/2019/>, will be held on 7-12 January 2019 in Las Palmas de Gran Canaria, Spain. APPIS 2019 is organized by the University of Groningen and the University of Las Palmas de Gran Canaria, and includes a Winter School on Machine Learning (WISMAL 2019) <http://appis.webhosting.rug.nl/2019/tutorials-appis-2019/>. APPIS 2019 welcomes submission of *abstracts* (1-2 pages) and*full papers* (4-6 pages) related, but not limited to the following topics: * Machine learning and representation learning * Images, videos and time-series analysis * 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 * 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 Papers must be submitted electronically, with *deadline November 7th (23:59:59 CET)*, through the APPIS 2019 conference web site in pdf format and must conform to the ACM template and style file. Proceedings will be published in ACM ICPS. Each accepted paper must be presented by one of the authors and accompanied by at least one full registration fee payment (250 Euro), to guarantee publication in the proceedings. In order to be published in the conference proceedings, *abstract submissions* need to be extended to full papers before the conference (*deadline January 5, 2019*) Find more information in the submission page <http://appis.webhosting.rug.nl/2019/paper-submission/>. We look forward to meet you in Las Palmas de Gran Canaria! Best regards, Nicolai Petkov Nicola Strisciuglio Carlos Travieso-Gonzalez

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How to advertise a new labelling campaign?
by Maximilian Klein 11 Oct '18

11 Oct '18

Hello All, I have created a new labelling campaign, "Newcomer Session Quality" which describes observes the *sessions* (temporally related edits) of users on their *registration day* [1]. The idea is to detect potentially productive newcomers may be struggling with onboarding and might otherwise get bitten. I was wondering if there was a standard way to advertise for volunteers for a new campaign on-wiki? Would it be OK to leave talk-page invitations to users who have signed up for updates on other campaigns [2]? By the way, right now the campaign is just in enwiki for testing, but I have 6 other languages ready to go if enwiki labelling goes well. [1] https://en.wikipedia.org/wiki/Wikipedia:Labels/Newcomer_session_quality [2] https://en.wikipedia.org/wiki/Wikipedia:Labels/Edit_quality Make a great day, Max Klein ‽ http://notconfusing.com/

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APPIS 2019 in Las Palmas on 7-12 January, Abstracts and full papers submission call
by Nicola Strisciuglio 09 Oct '18

09 Oct '18

The 2nd International Conference on Applications of Intelligent Systems, APPIS 2019 <http://appis.webhosting.rug.nl/2019/>, will be held on 7-12 January 2019 in Las Palmas de Gran Canaria, Spain. APPIS 2019 is organized by the University of Groningen and the University of Las Palmas de Gran Canaria, and includes a Winter School on Machine Learning (WISMAL 2019) <http://appis.webhosting.rug.nl/2019/tutorials-appis-2019/>. APPIS 2019 welcomes submission of *abstracts* (1-2 pages) and*full papers* (4-6 pages) related, but not limited to the following topics: * Machine learning and representation learning * Images, videos and time-series analysis * 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 * 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 Papers must be submitted electronically, with *deadline October 26th*, through the APPIS 2019 conference web site in pdf format and must conform to the ACM template and style file. Proceedings will be published in ACM ICPS. Each accepted paper must be presented by one of the authors and accompanied by at least one full registration fee payment (250 Euro), to guarantee publication in the proceedings. In order to be published in the conference proceedings, *abstract submissions* need to be extended to full papers before the conference (*deadline January 5, 2019*) Find more information in the submission page <http://appis.webhosting.rug.nl/2019/paper-submission/>. We look forward to meet you in Las Palmas de Gran Canaria! Best regards, Nicolai Petkov Nicola Strisciuglio Carlos Travieso-Gonzalez

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Mail moderator question: CFPs posted by non-list members
by Aaron Halfaker 03 Oct '18

03 Oct '18

Hey folks, I wanted to ask a question of people on this list. Up until now, I have been rejecting postings from non-list members that were just blind Calls for Papers (CFPs) for various journals and conferences. It seems to me that we all get plenty of spam like this and that we don't need to also receive it via our mailing lists. Should I continue to block this content? FWIW, I don't see any problem with our list member sharing CFPs for conferences/journals that they think are important. That should be allowed through. I've just been rejecting the drive-by non-member CFP postings. -Aaron

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Using the Tsetlin Machine to Learn Human - Interpretable Rules for High - Accuracy Text Categorization with Medical Applications
by John Erling Blad 02 Oct '18

02 Oct '18

There is a new paper out about "Using the Tsetlin Machine to Learn Human - Interpretable Rules for High - Accuracy Text Categorization with Medical Applications" [1] or in our context "…High - Accuracy Text Categorization of unsourced statements". Their results on text categorization is quite promising. I've been wondering why they get so good results, and I suspects it either has to do with implicit regularization (kind of dropouts), or some other effects I suspect can be important when you start comparing really good results. One is that learning binary weights uses less information entropy than learning weights with higher quantization (more bits), thus with limited training data more of the available information entropy goes into learning the actual rules. Another possibility is that the learning algorithm finds better minimums (actually maximums) than the other algorithms. Ie the algorithm find stable solutions, that is the real minimum. A third possibility is that the learning is faster because it does not backprop (thus more stable and converge faster). The generated rules are much easier to handle in the users own browser, and instead of using a central server the text categorization (classification) can be done in the users own browser. That will make the interaction more responsive. In my opinion this is a neural network. The generated rules can be reformulated as a disjunctiove normal forms, and then it is more obvious. There are binary weights, weight multiplication done with and-operators, and summation done by or-operators. There are more background in the paper "The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic" [1] https://arxiv.org/abs/1809.04547 [2] https://arxiv.org/abs/1804.01508 John Erling Blad /jeblad

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Hintons capsules and other normalizing networks
by John Erling Blad 01 Oct '18

01 Oct '18

Anyone here using Hintons capsules or other normalizing networks? John Erling Blad /jeblad

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CFP Applications of Intelligent Systems 2019 - 7-12 January 2019, Las Palmas de Gran Canaria, Spain
by Nicola Strisciuglio 28 Sep '18

28 Sep '18

The 2nd International Conference on Applications of Intelligent Systems, *APPIS 2019* <http://appis.webhosting.rug.nl/2019/> will be held on *7-12 January 2019* in *Las Palmas de Gran Canaria*, Spain. APPIS 2019 is organized by the University of Groningen and the University of Las Palmas de Gran Canaria, and includes a *Winter School on Machine Learning (WISMAL 2019)*. APPIS 2019 welcomes (but is not limited to) 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 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 ============================================================= Conference proceedings will be published by *ACM International Conference Proceedings Series.* The registration fee includes conference materials, tutorials, conference dinner, welcome reception, another social event (a guided tour of old town Las Palmas or a visit to the only coffee plantage in the EU) and daily coffee breaks. The prices are: Early registration: *250 Euro* Late registration: *325 Euro* The costs for each additional paper are *100 Euro. *=============================================================| *Winter School on Machine Learning - WISMAL 2019* APPIS includes a short winter school consists of several tutorials that present different techniques of Machine Learning. Please find more information at the WISMAL 2019 page <http://appis.webhosting.rug.nl/2019/tutorials-appis-2019/>. The participation in the winter school is free of charge for registered participants in APPIS 2019. The number of participants in the winter school is limited to 100 and early registration is encouraged. ============================================================= Paper submission – *Oct 26, 2018* Paper acceptance notification – *Dec 1, 2018* Early registration – *Dec 8, 2018* Camera ready – *Dec 15, 2018* Conference – *7-9 Jan 2019* Winter school on Machine learning – *10-12 Jan 2019 *Please find more information on the conference website <http://appis.webhosting.rug.nl/2019/>.* *the conference co-chairs /Nicolai Petkov// //Nicola Strisciuglio// //Carlos Travieso-Gonzalez// /

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Fwd: [Wikimedia-l] Captioning Wikidata items?
by Pine W 27 Sep '18

27 Sep '18

I don't have enough knowledge about neural nets to evaluate the email below, but I'm forwarding it in case it's of interest to others on two relevant lists. Pine ( https://meta.wikimedia.org/wiki/User:Pine ) ---------- Forwarded message --------- From: John Erling Blad <jeblad(a)gmail.com> Date: Wed, Sep 26, 2018 at 6:23 PM Subject: [Wikimedia-l] Captioning Wikidata items? To: Wikimedia Mailing List <wikimedia-l(a)lists.wikimedia.org> Just a weird idea. It is very interesting how neural nets can caption images. Quite interesting. It is done by building a state-model of the image, that is feed into a kind of neural net (RNN) and that net (a black box) will transform the state-model into running text. In some cases the neural net is steered. That is called an attention control, and it creates relationship between parts in the image. Swap out the image wit an item, and a virtually identical setup can generate captions for items. The caption for an item is whats called the description in Wikidata. It is also the first sentence with a lead-in in Wikipedia articles. It is possible to steer the attention, that is to tell the network what items should be used, and thus the later sentences will be meaningful. What that means is that we could create meaningful stub entries for the article placeholder, that is the "AboutTopic" special page. We can't automate this for very small projects, but somewhere between small and mid sized languages it will start to make sense. To make this work we need some very special knowledge, which we probably don't have, like how to turn an item into a state-model by using the highly specialized rdf2vec algorithm (hello Copenhagen) and verifying the stateful language model (hello Helsinki and Tromsø). I wonder if the only real problems are what do the community want, and what is the acceptable error limit. John Erling Blad /jeblad _______________________________________________ Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and https://meta.wikimedia.org/wiki/Wikimedia-l New messages to: Wikimedia-l(a)lists.wikimedia.org Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, <mailto:wikimedia-l-request@lists.wikimedia.org?subject=unsubscribe>

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Re: [AI] [Wikitech-l] Breaking change in ORES API: "wp10" models are renamed to "articlequality"
by Adam Wight 27 Aug '18

27 Aug '18

Hi, we'll have to deprecate both usages due to how the software is configured. If migrating the clients turns out to be a pain for some reason, we can negotiate the deprecation date, of course… -Adam On Mon, Aug 27, 2018 at 1:57 PM Ryan Kaldari <rkaldari(a)wikimedia.org> wrote: > Thanks for the update (and the switch to a less confusing score name)! Just > to clarify, when you say "we might pull the plug after four weeks after > this announcement," does that refer to wp10 just in the generic scores > request (e.g. https://ores.wikimedia.org/v3/scores/enwiki/855137823) or > also in the specific scores request (e.g. > https://ores.wikimedia.org/v3/scores/enwiki/855137823/wp10)? In other > words, will https://ores.wikimedia.org/v3/scores/enwiki/855137823/wp10 > still work a month from now, or does that also need to be migrated to > "articlequality"? > > On Mon, Aug 27, 2018 at 1:50 PM Amir Sarabadani < > amir.sarabadani(a)wikimedia.de> wrote: > > > Hello, > > If you don't use ORES API, please ignore this email. > > > > If you are using wp10 models in your tool, gadget, or research, please > note > > that these models are now renamed to "articlequality" to better reflect > > what they are (in comparison to "editquality"). articlequality models are > > deployed on English, Russian, French, Persian, Turkish, and Basque > > Wikipedia languages. > > > > So URLs like this: > > https://ores.wikimedia.org/v3/scores/enwiki/855137823/wp10 > > Need to be changed to something like this: > > https://ores.wikimedia.org/v3/scores/enwiki/855137823/articlequality > > > > Same goes with parsing the results. > > > > The "wp10" still exists as an alias and if you don't determine models > > (meaning you want scores for all models) we respond with wp10 and > > articlequality data duplicated [1] but we might pull the plug after four > > weeks after this announcement. > > > > [1]: For example see: > > https://ores.wikimedia.org/v3/scores/enwiki/855137823 > > > > For more information see: https://phabricator.wikimedia.org/T196240 > > > > Best > > -- > > Amir Sarabadani > > Software Engineer > > > > Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin > > Tel. (030) 219 158 26-0 > > http://wikimedia.de > > > > Stellen Sie sich eine Welt vor, in der jeder Mensch an der Menge allen > > Wissens frei teilhaben kann. Helfen Sie uns dabei! > > http://spenden.wikimedia.de/ > > > > Wikimedia Deutschland – Gesellschaft zur Förderung Freien Wissens e. V. > > Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg > unter > > der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für > > Körperschaften I Berlin, Steuernummer 27/029/42207. > > _______________________________________________ > > Wikitech-l mailing list > > Wikitech-l(a)lists.wikimedia.org > > https://lists.wikimedia.org/mailman/listinfo/wikitech-l > _______________________________________________ > Wikitech-l mailing list > Wikitech-l(a)lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wikitech-l

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