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Improving Captcha on account creation page using Machine Learning
by Vinitha Vs 04 Jan '18

04 Jan '18

Hi, I[0] am an Outreachy Round 15 intern and I am working on AICaptcha[1] project. This project is aimed at creating a better captcha system (like the Google invisible captcha) which can prevent/reduce the incidence of bots creating user accounts and spamming Wikipedia. My mentors on this project are Gergő Tisza[2] and Adam Roses Wight[3]. The key aspects of this project are: 1. Data capture for training a machine learning classifier which is elaborated in Phabricator task[4]. The data can be captured from the registration page using the WikiMediaEvents extension. 2. Feature selection, dealing with selecting the most appropriate features which can improve the classification model, explained in Phabricator task[5] 3. Finding appropriate machine learning classifier to create the model [6]. Kindly provide suggestions/ideas on Phabricator, so that any idea missed by oversight can be discussed. Also if there are any possible issues which I have not thought about yet, please comment on the tasks so that I can take care of them sooner rather than later. Links: [0]: https://meta.wikimedia.org/wiki/User:Groovier [1] : https://phabricator.wikimedia.org/project/profile/3137/ [2]: https://www.mediawiki.org/wiki/User:Tgr_(WMF) [3]: https://www.mediawiki.org/wiki/User:Adamw [4]: https://phabricator.wikimedia.org/T183991 [5]:https://phabricator.wikimedia.org/T183998 [6]: https://phabricator.wikimedia.org/T184013 Thanks Vinitha

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CFP for IEEE ICCC 2018
by Incheon Paik 18 Dec '17

18 Dec '17

Apology for cross-postings. Welcome your submission, and please send it to interested colleagues and students. Thanks! Incheon ***** Call For Papers ***** The Second IEEE International Conference on Cognitive Computing (IEEE ICCC 2018) 2018 IEEE World Congress on Services JULY 2 - 7, 2018, SAN FRANCISCO, USA http://conferences.computer.org/iccc/2018/cfp/ The 2018 IEEE International Conference on Cognitive Computing (ICCC 2018) focuses on the integration of cognitive computing with service computing for providing intelligence as a service. Technical topics of interest include but are not limited to the following: I. Cognitive Computing Technologies and Infrastructure - Cognitive Computing Fundamentals such as Mind, Language, Perception, Memory, Attention, Reasoning, Emotion, Prediction, and Problem Solving - Cognitive Computing Techniques using Artificial Intelligence, Pattern and Speech Recognition, and Natural Language Processing - Cognitive Approaches using Data Mining, Machine Learning, and Deep Learning Techniques - Consciousness and Awareness - Cognitive Data Analytics - Systems for Brain - Machine Interface - Collective Intelligence and Wisdom - Semantics for Conversation and Pragmatics - Service Science for Cognitive Computing II. Cognitive Computing Systems and Applications - Deep Learning for Cognition - Brain Analysis for Cognition - Big Data Infrastructure for Cognition - Distributed Processing for Cognition - Consciousness and Awareness Framework - Cognitive Agents and Robots - Semantics for Conversation and Pragmatics - Service Technologies for Cognitive Computing - Cyber cognitive systems and services - Internet of Cognitive Things - Big Data Analytics for Cognition III. Intelligence of Innovation Lifecycle and Sensing - Intelligence Innovation Lifecycle (Such as Intelligence Producing, Extracting, Understanding, Perceiving, Responding, Inferencing, Correlating, Propagating, Billing, Exchanging, Trading, Replicating, Destroying, and Repairing) - Cognitive Sensing (Sight, Hearing, Taste, Smell, and Touch) - Cognitive Data (Image, Sound, Text, Web Data, Sensor Data, and Machine Generated Data) - Cognitive Environment (Kinesthesia, Balance, Acceleration, and Internal Stimuli) *** Manuscript Guidelines and Submission Information *** Language: English. Paper size and format: US Letter; Two-column format in the IEEE style. Page limit: Up to 8 pages for peer review. Abstract length: Approximately 1500 characters. File format: Limit the size of a single PDF file to be 6 MB. All submitted manuscripts will be peer-reviewed by at least 3 program committee members. Accepted papers with confirmed presentation will appear in the conference proceedings published by the IEEE Computer Society Press. Each conference/congress will publicly announce the winners of its Best Paper Award, and Best Student Paper Award. The authors of selected papers will be encouraged to submit extended and enhanced versions of their papers to the IEEE Transactions on Services Computing (TSC) and other suitable journals. *** Key Dates *** Paper submission (for peer review) due: January 10, 2018. Notification to authors on the decisions on papers: March 15, 2018. Camera-ready papers due: April 6, 2018. Congress date: July 2-7, 2018. ICCC 2018 General Chairs ======================== Jeffrey J.P. Tsai, Asia University, Taiwan Ernesto Damiani, University of Milan, Italy ICCC 2018 Program Chairs ======================== Xiaoqing Frank Liu, University of Arkansas, USA Incheon Paik, University of Aizu, Japan SERVICES Congress General Chair: Stephen S. Yau, Arizona State University, USA IEEE-CS Technical Committee on Services Computing Chair: Rong N. Chang, IBM Research, USA Steering Committee: Elisa Bertino, Purdue University, USA Carl K. Chang, Iowa State University, USA (Chair) Rong N. Chang, IBM Research, USA Peter Chen, Carnegie Mellon University. USA Ernesto Damiani, University of Milan, Italy Ian Foster, University of Chicago, USA Dennis Gannon, Indiana University, USA Michael Goul, Arizona State University, USA Frank Leymann, University of Stuttgart, Germany Hong Mei, Beijing Institute of Technology, China Stephen S. Yau, Arizona State University, USA Finance Chair: Shiyong Lu, Wayne State University, USA Publication Chair: Katsunori Oyama, Nihon University, Japan Publicity Team: Patrick C. K. Hung, University of Ontario Institute of Technology, Canada Eleanna Kafeza, Zayed University, UAE Hamad Binsalleeh, Al-Imam Muhammad Ibn Saud Islamic University, Saudi Arabia Jorge Roa, National Technological University, Santa Fe Regional Faculty, Argentina Marcelo Fantinato, University of Sao Paulo, Brazil Young Yoon, Hongik University, Korea Radha Krishna Pisipati, Infosys, India Uwe Breitenb點her, University of Stuttgart, Germany Andrei V. Kopylov, Tula State University, Russia Matogoro Jabera, University of Dodoma, Tanzania Mohammad Aazam, Carnegie Mellon University, Qatar Bhekisipho Twala, University of South Africa, South Africa If you have any questions or queries on IEEE ICCC 2018, please send email to: ieeecs DOT iccc AT gmail DOT com.

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New ORES FAQ
by Sarah R 22 Nov '17

22 Nov '17

Hi Everyone, I've been working together with Adam and Aaron from the Scoring Platform team to identiy technical documentation in need of improvement. This past quarter, the team and I worked together on a FAQ for ORES[1], which is now up and running. If you are interested in ORES, AI, or technical documentation in general, ORES documentation is a great place to contribute. We've got answers for most of the common questions, but we haven't finished 100% yet. You can help us by asking new questions on the discussion page for the FAQ[2]. I hope you can join us in editing BOLDly[3] by working on documentation that makes our projects more accessible and easier to understand. Documentation like this is critical for our open software environment to work. I'm organizing a special interest group[4] to address documentation needs. If you have any questions or comments, please dont hesitate to reach out and share! [1] https://mediawiki.org/wiki/ORES/FAQ [2] https://mediawiki.org/wiki/Talk:ORES/FAQ [3] https://en.wikipedia.org/wiki/Wikipedia:BOLD,_revert,_discuss_cycle [4] https://wikitech.wikimedia.org/wiki/SIGDOCS With much Kindness, Sarah R. Rodlund Senior Project Coordinator-Product & Technology, Wikimedia Foundation srodlund(a)wikimedia.org *“Our lives begin to end the day we become silent about things that matter.” ~ Martin Luther King Jr <https://www.goodreads.com/author/show/23924.Martin_Luther_King_Jr_>*

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Scoring Platform Team update
by Aaron Halfaker 18 Oct '17

18 Oct '17

Hey folks, We were way overdue for an update, so we just put one together. In the last 3 months, we added new language support for Bengali, Greek, and Tamil. New advance edit quality support for Albanian and Romanian. We cleaned up the old 'reverted' models where better support is available. We're working on moving to a new dedicated cluster. We improved some models by exploring new sources of signal and cleaning datasets. We started work on JADE and presented on The Keilana Effect at Wikimania. Read more on our blog https://phabricator.wikimedia.org/phame/post/view/77/status_update_october_… -Aaron On Sat, Jun 3, 2017 at 3:28 PM, Aaron Halfaker <aaron.halfaker(a)gmail.com> wrote: > Hey folks, > > I'll be starting to post updates here on our new blog[1], but if you'd > prefer to be notified via the mailing lists we used to post to, that's OK. > I'll make sure that the highlights and the link to these posts gets pushed > there too. > > We had a big presence at the Wikimedia Hackathon 2017 in Vienna. We kicked > off a lot of new language focused collaborations (Greek, Tamil, Bengali) > and we deployed a new Item Quality model for Wikidata. > > French and Finnish Wikipedias now have advance edit quality prediction > support! > > ORES is available through api.php again via rvprop=orescores and > rcprop=oresscores. > > Wiki labels now has a new stats reporting interface. Check out > https://labels.wmflabs.org/stats > > We had a major hiccup when failing over to CODFW, but we worked it out and > ORES is very happy again. > > See more details on our new blog: "Score all the things" > https://phabricator.wikimedia.org/phame/blog/view/8/ > > -Aaron > Principal Research Scientist @ WMF > Head of the Scoring Platform team >

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Re: [AI] AI Digest, Vol 21, Issue 4
by Nahuel Barrios 04 Sep '17

04 Sep '17

Verify the suport and contact in my phone for view my problem with orbot and ooni and orfox. I screm can any use my data movil or pc windows7 or mail nb-17(a)outlook.com barriosnahuel087(a)gmail.com for this vandalism. Excuse my english my from is mendoza argentina. And my identity is copied and plagied for police and register of property of my nation El ago. 31, 2017 6:22 PM, <ai-request(a)lists.wikimedia.org> escribió: Send AI mailing list submissions to ai(a)lists.wikimedia.org To subscribe or unsubscribe via the World Wide Web, visit https://lists.wikimedia.org/mailman/listinfo/ai or, via email, send a message with subject or body 'help' to ai-request(a)lists.wikimedia.org You can reach the person managing the list at ai-owner(a)lists.wikimedia.org When replying, please edit your Subject line so it is more specific than "Re: Contents of AI digest..." Today's Topics: 1. Wikilabels incident: Reversed diffs (Amir Tafreshi) 2. More/better model information and "threshold optimizations (zppix e) 3. Re: More/better model information and "threshold optimizations (zppix e) 4. Re: More/better model information and "threshold optimizations (Aaron Halfaker) ---------------------------------------------------------------------- Message: 1 Date: Thu, 31 Aug 2017 18:06:19 +0400 From: Amir Tafreshi <amir.tafreshi_ext(a)wikimedia.de> To: Application of Artificial Intelligence and other advanced computing strategies to Wikimedia Projects <ai(a)lists.wikimedia.org>, Wikimedia developers <Wikitech-l(a)lists.wikimedia.org> Subject: [AI] Wikilabels incident: Reversed diffs Message-ID: <CAGe7S=apMa8h3d0=UeJOfYtPhqL-3P-640c-gdgM7z90J4v33w(a)mail.gmail.com> Content-Type: text/plain; charset="utf-8" Hello, Today, we discovered a major regression in Wikilabels. We've patched the issue and made an emergency deployment. We also deleted some labels that were saved while the system was compromised. Here is the details of of what happened: https://phabricator.wikimedia.org/phame/post/view/69/ wikilabels_incident_reversed_diffs/ We're very sorry for this inconvenience, Yours truly -- Amir Sarabadani Tafreshi Software Engineer (contractor) ------------------------------------- Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin http://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 27/681/51985.

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More/better model information and "threshold optimizations
by zppix e 31 Aug '17

31 Aug '17

We'd like to let you know about an upcoming change to ORES that might break your code. We've made some improvements to the way that "model_info" is reported from ORES. Rather than us needing to specify thresholds when we train a model (e.g. "filter_rate_at_recall(min_recall=0.9)"), the system now allows arbitrary queries (e.g. "filter_rate @ recall >= 0.9"). This if more flexible but it may cause problems for anyone who was using the machine-readable thresholds to support a UI in the past. Scores themselves will remain unchanged. The model info and threshold systems will stay in the current state until we are ready to deploy the newer version to production (probably around Sept. 20th). If you have any questions, please feel free to contact the Scoring Platform Team, via email (ai(a)lists.wikimedia.net) or IRC (chat.freenode.net:6668 #wikimedia-ai) -- Zppix Volunteer developer for Wikimedia Sent from my iPhone

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Wikilabels incident: Reversed diffs
by Amir Tafreshi 31 Aug '17

31 Aug '17

Hello, Today, we discovered a major regression in Wikilabels. We've patched the issue and made an emergency deployment. We also deleted some labels that were saved while the system was compromised. Here is the details of of what happened: https://phabricator.wikimedia.org/phame/post/view/69/wikilabels_incident_re… We're very sorry for this inconvenience, Yours truly -- Amir Sarabadani Tafreshi Software Engineer (contractor) ------------------------------------- Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin http://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 27/681/51985.

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[Deadline Extended] Call for paper of the 22nd Conference on Technologies and Applications of Artificial Intelligence (TAAI 2017)
by vincenttsai＠iis.sinica.edu.tw 30 Aug '17

30 Aug '17

Dear all, The submission deadline of TAAI 2017 is extended to Sep. 11, 2017. The 22nd Conference on Technologies and Applications of Artificial Intelligence (TAAI 2017) will be held in National Taiwan University, Taipei, Taiwan on December 1-3 2017. *International Call For Papers* The 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2017) is one of the most important annual academic meetings on Artificial Intelligence in Taiwan. The conference in 2017 will focus on the following theme: Achieving excellence through Artificial Intelligence Within the scope of this theme we are seeking paper submissions to address the following topics of particular interest include, but are not limited to: - Agents - AI Applications - AI Architectures - Automated Reasoning - Cloud Computing in AI - Cognitive Modeling - Computer Games - Intelligent Environments - Intelligent Human-Computer Interaction - Knowledge-Based Systems - Knowledge Representation - Logics in AI - Machine Learning - Mobile Intelligence - Computer Supported Collaborative Learning & Personalized Learning - Natural Language Processing - Pattern Recognition - Data Science - Planning - Computer Vision - Data Mining - Distributed AI - Evolutionary Computation & Genetic Algorithms - Probabilistic and Uncertain Reasoning - Problem Solving and Search - Robotics - Fuzzy Systems - Hybrid Systems - Information Retrieval - Semantic Web - Social Computing - Speech Recognition and Synthesis - Intelligent E-Learning & Tutoring - Ubiquitous Intelligent Applications - Web Intelligence - Big Data Analysis *IMPORTANT DATES* Submission deadline Sep. 11, 2017 (Extended) Acceptance notification Oct. 07, 2017 Camera ready Oct. 21, 2017 Conference Date December 1-3, 2017 *Submission Information & Guidelines* The TAAI 2017 paper template shall be used to prepare your full papers in 6 pages and short papers in 4 pages(including graphics and references). The paper format should follow IEEE Manuscript Templates for Conference Proceedings(http://www.ieee.org/conferences_events/conferences/publishing/t… to prepare manuscripts. The papers shall be submitted in English (CMT: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FTAAI2017) and shall describe original work that has not previously been presented at TAAI. For more detailed information, please refer: https://www.csie.ntu.edu.tw/~taai2017/cfp.html -- 蔡睿翊 Vincent Jui-Yi, Tsai 中央研究院資訊科學研究所 Institute of Information Science (IIS), Academia Sinica Tel: (02)27883799 #1371 Email: vincenttsai(a)iis.sinica.edu.tw ---------------------------------------------------------------- This message was sent using IMP, the Internet Messaging Program.

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ML in the browser
by Toby Negrin 16 Aug '17

16 Aug '17

H/T to Magnus https://research.googleblog.com/2017/08/harness-power-of-machine-learning-i… -Toby -- -Toby

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[RfC] [ORES] Do you use reverted model for wikis that have damaging ones?
by Amir Tafreshi 03 Aug '17

03 Aug '17

Hey, For patrolling work, ORES usually has two levels of support: - For basic support we usually provide a model that is called 'reverted' and has less accuracy. It also risks perpetuating editor biases due to the lack of differentiation between reasons that a change may have been reverted. - For advanced support, we require manual labeling of a large sample of edits, but then we can provide two more models: 'damaging' and 'goodfaith'. ORES review tool can only be enabled on wikis where advanced support is available and most other tools prefer the 'damaging' over the basic 'reverted' model as well. So, for performance and capacity reasons we think it makes sense to remove 'reverted' models from the ORES service when 'damaging' model is made available. However, we also want to be careful about making sure this change doesn't disrupt the work of tool developers that make use of the ORES service. If you do, please voice your concerns now. If there is no objection within the next two weeks, we'll begin the process of removing the 'reverted' model for wikis that have the 'damaging' model available. Related phabricator card: https://phabricator.wikimedia.org/T171059 Best -- Amir Sarabadani Tafreshi Software Engineer (contractor) ------------------------------------- Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin http://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 27/681/51985.

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