BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:CET BEGIN:DAYLIGHT DTSTART:20200329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20191027T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20200205T193029Z UID:A6FC96D5-CDD6-4365-A0F9-52676676601B DTSTART;TZID=CET:20200127T140000 DTEND;TZID=CET:20200127T150000 DESCRIPTION:Distinguished Lecturers Program (DLP)\n\nSpeaker: DLP 19-15 P. N. Suganthan\nDate: January 27\, 2020\nLocation: Maribor\, Slovenia\nChapt er: IEEE Slovenia Section ([Ales Zamuda](mailto:ales.zamuda@um.si))\nTitle of Talks: Randomization-Based Deep and Shallow Neural Networks\n[Click he re for list of current IEEE CIS DLP Talks](https://cis.ieee.org/profession al-development/dlp/dlp-lecture-calendar)\n\nSlides from the lecture are av ailable at: [Randomized Deep-Shallow-ANN](https://r8.ieee.org/slovenia-cis /wp-content/uploads/sites/34/Randomized-Deep-Shallow-ANN.pdf)\n\nPhotos: h ttps://www.facebook.com/IEEESloveniaCIS/photos/\n\nVideo filming of the le cture: https://www.facebook.com/events/186758829390381/permalink/198935101 506087/\n\nABSTRACT (DLP TALK)\n\nThis talk will first introduce the main randomization-based feedforward neural networks with closed-form solutions . The popular instantiation of the feedforward type called random vector f unctional link neural network (RVFL) originated in early 1990s. RVFL varia nts will be empirically evaluated. Subsequently\, deep versions of RVFL wi ll be presented as a single and ensemble classifiers. The talk will also p resent extensive benchmarking studies using classification and forecasting datasets. If time permits\, oblique random forest and kernel ridge regres sion will also be briefly discussed.\nAcknowledgement: Sponsored by the Co mputational Intelligence Society under its Distinguished Lecturer Program. Prof. Suganthan is a CIS Distinguished Lecturer.\n\nAbout DLP (Distinguis hed Lecturers Programs):\n\n[]The IEEE CIS Distinguished Lecturer Program (DLP) aims at serving the Computational Intelligence community by providin g stimulating lectures given by distinguished IEEE CIS professionals and s cholars. It also aims at helping young researchers (masters and doctoral s tudents) providing suggestions/guidance on their research problems as well as promoting computational intelligence tools and techniques among underg raduate students to make them interested in CIS fields of interest. Distin guished Lecturers present novel basic and/or applied research results in t heir CIS sub-field. Their lectures offer insights into the trends and chal lenges of their CIS sub-field and their vision for the given sub-field. In any given year\, selected IEEE CIS Distinguished Lecturers (DLs) have a b alanced representation of CIS sub-fields and include representatives from academia\, industry and government while spanning different IEEE regions.T he program supports local CIS Chapters by enabling a major chapter event w hich can considerably improve a chapter’s visibility to their existing I EEE CIS members\, other IEEE society members and the wider CIS community i n their area. It is expected that DLP events actively seek to recruit new CIS professionals to both the CIS field and to IEEE CIS. Source: https://c is.ieee.org/professional-development/dlp.\n\nIt should be noted that this program is NOT intended as a means to finance speakers for conferences/wor kshops or symposia.\n\n[abstract image of hand and laptop]\n\nAbout IEEE C IS (Mission/Vision/Field of Interest - FOI): The IEEE Computational Intell igence Society is a professional society of the Institute of Electrical an d Electronics Engineers (IEEE) focussing on "the theory\, design\, applica tion\, and development of biologically and linguistically motivated comput ational paradigms emphasizing neural networks\, connectionist systems\, ge netic algorithms\, evolutionary programming\, fuzzy systems\, and hybrid i ntelligent systems in which these paradigms are contained". Source: Wikipe dia [IEEE_Computational_Intelligence_Society]\nIEEE CIS Mission Statement: Advancing nature-inspired computational paradigms in science and engineer ing.\nIEEE CIS Vision: Be the international leader in innovative interdisc iplinary research\, technology transfer\, real-world applications\, and ed ucation in Computational Intelligence.\nIEEE CIS Field of Interest (FOI): The Field of Interest of the Computational Intelligence Society (CIS) shal l be the theory\, design\, application\, and development of biologically a nd linguistically motivated computational paradigms emphasizing neural net works\, connectionist systems\, genetic algorithms\, evolutionary programm ing\, fuzzy systems\, and hybrid intelligent systems in which these paradi gms are contained.\n\nAbout IEEE and IEEE Slovenia: The Institute of Elect rical and Electronics Engineers (IEEE) is a [professional association](htt ps://en.wikipedia.org/wiki/Professional_association) with its corporate of fice in [New York City](https://en.wikipedia.org/wiki/New_York_City) and i ts operations center in [Piscataway\, New Jersey](https://en.wikipedia.org /wiki/Piscataway\,_New_Jersey). It was formed in 1963 from the amalgamatio n of the [American Institute of Electrical Engineers](https://en.wikipedia .org/wiki/American_Institute_of_Electrical_Engineers) and the [Institute o f Radio Engineers.](https://en.wikipedia.org/wiki/Institute_of_Radio_Engin eers) IEEE Slovenia section is part of the world's largest technical profe ssional organization for the advancement of technology. Source: IEEE Slove nia (https://www.ieee.si/).\nAbout IEEE Slovenia CIS Chapter: The mission of IEEE Slovenia CIS chapter (Geo-code CH08873) is advancing nature-inspir ed computational paradigms in science and engineering to foster technologi cal innovation and excellence for the benefit of humanity. More informatio n about IEEE Slovenia CIS Chapter at the website: https://r8.ieee.org/slov enia-cis/.\n\nCo-sponsored by: Institute of Computer Science\, Faculty of Electrical Engineering and Computer Science\, University of Maribor\, Slov enia\n\nSpeaker(s): Ponnuthurai Nagaratnam Suganthan\, \n\nRoom: G2-P01\, Bldg: G2\, Koroška cesta 46\, Maribor\, Slovenia\, Slovenia\, 2000 LOCATION:Room: G2-P01\, Bldg: G2\, Koroška cesta 46\, Maribor\, Slovenia\, Slovenia\, 2000 ORGANIZER:ales.zamuda@um.si SEQUENCE:16 SUMMARY:Randomization-Based Deep and Shallow Neural Networks URL;VALUE=URI:https://events.vtools.ieee.org/m/217866 X-ALT-DESC:Description: <br /><h1><span style="color: #333399\; font-size: 14pt\;">Distinguished Lecturers Program (DLP)<br /></span></h1>\n<p><stron g>Speaker: DLP 19-15 P. N. Suganthan<br />Date: January 27\, 2020<br />Loc ation: Maribor\, Slovenia<br />Chapter: IEEE Slovenia Section (<span id="c loak291d2ebb6d173a4dd90d09a35c9886ab"><a href="mailto:ales.zamuda@um.si">A les Zamuda</a></span>)<br />Title of Talks: Randomization-Based Deep and S hallow Neural Networks<br /><a href="https://cis.ieee.org/professional-dev elopment/dlp/dlp-lecture-calendar">Click here for list of current IEEE CIS DLP Talks</a></strong></p>\n<p>Slides from the lecture are available at: <a href="https://r8.ieee.org/slovenia-cis/wp-content/uploads/sites/34/Rand omized-Deep-Shallow-ANN.pdf">Randomized Deep-Shallow-ANN</a></p>\n<p>Photo s: <a href="https://www.facebook.com/IEEESloveniaCIS/photos/">https://www. facebook.com/IEEESloveniaCIS/photos/</a></p>\n<p>Video filming of the lect ure: <a href="https://www.facebook.com/events/186758829390381/permalink/19 8935101506087/">https://www.facebook.com/events/186758829390381/permalink/ 198935101506087/</a></p>\n<p>&nbsp\;</p>\n<p><strong>ABSTRACT (DLP TALK)<b r /></strong></p>\n<p>This talk will first introduce the main randomizatio n-based feedforward neural networks with closed-form solutions. The popula r instantiation of the feedforward type called random vector functional li nk neural network (RVFL) originated in early 1990s. RVFL variants will be empirically evaluated. Subsequently\, deep versions of RVFL will be presen ted as a single and ensemble classifiers. The talk will also present exten sive benchmarking studies using classification and forecasting datasets. I f time permits\, oblique random forest and kernel ridge regression will al so be briefly discussed.<br /> <span style="text-decoration: underline\;"> Acknowledgement</span>: Sponsored by the Computational Intelligence Societ y under its Distinguished Lecturer Program. Prof. Suganthan is a CIS Disti nguished Lecturer.</p>\n<p>&nbsp\;</p>\n<p><strong>About DLP (Distinguishe d Lecturers Programs)</strong>:</p>\n<p style="text-align: justify\;"><a n ame="News"></a>The IEEE CIS Distinguished Lecturer Program (DLP) aims at s erving the Computational Intelligence&nbsp\;community by providing stimula ting lectures given by distinguished IEEE CIS professionals and&nbsp\;scho lars. It also aims at helping young researchers (masters and doctoral stud ents) providing&nbsp\;suggestions/guidance on their research problems as w ell as promoting computational&nbsp\;intelligence tools and techniques amo ng undergraduate students to make them interested in CIS&nbsp\;fields of i nterest. Distinguished Lecturers present novel basic and/or applied resear ch results in&nbsp\;their CIS sub-field. Their lectures offer insights int o the trends and challenges of their CIS sub-field and their vision for th e given sub-field. In any given year\, selected IEEE CIS Distinguished&nbs p\;Lecturers (DLs) have a balanced representation of CIS sub-fields and in clude representatives from&nbsp\;academia\, industry and government while spanning different IEEE regions.The program supports local CIS Chapters by enabling a major chapter event which can&nbsp\;considerably improve a cha pter&rsquo\;s visibility to their existing IEEE CIS members\, other IEEE s ociety&nbsp\;members and the wider CIS community in their area. It is expe cted that DLP events actively seek&nbsp\;to recruit new CIS professionals to both the CIS field and to IEEE CIS. Source: <a href="https://cis.ieee.o rg/professional-development/dlp"><em>https://cis.ieee.org/professional-dev elopment/dlp</em></a>.</p>\n<p style="text-align: justify\;"><em>It should be noted that this program is NOT intended as a means to finance speakers for&nbsp\;conferences/workshops or symposia.</em></p>\n<p style="text-ali gn: justify\;">&nbsp\;</p>\n<p><img src="https://cis.ieee.org/images/files /11mci02-cover1.jpg" alt="abstract image of hand and laptop" width="800" h eight="200" /></p>\n<p><strong>About IEEE CIS (Mission/Vision/Field of Int erest - FOI): </strong>The IEEE Computational Intelligence Society is a pr ofessional society of the Institute of Electrical and Electronics Engineer s (IEEE) focussing on "the theory\, design\, application\, and development of biologically and linguistically motivated computational paradigms emph asizing neural networks\, connectionist systems\, genetic algorithms\, evo lutionary programming\, fuzzy systems\, and hybrid intelligent systems in which these paradigms are contained". Source: <em>Wikipedia [IEEE_Computat ional_Intelligence_Society]<br /></em><strong>IEEE CIS Mission Statement</ strong>: Advancing nature-inspired computational paradigms in science and engineering.<br /><strong>IEEE CIS Vision</strong>: Be the international l eader in innovative interdisciplinary research\, technology transfer\, rea l-world applications\, and education in Computational Intelligence.<br />< strong>IEEE CIS Field of Interest (FOI)</strong>: The Field of Interest of the Computational Intelligence Society (CIS) shall be the theory\, design \, application\, and development of biologically and linguistically motiva ted computational paradigms emphasizing neural networks\, connectionist sy stems\, genetic algorithms\, evolutionary programming\, fuzzy systems\, an d hybrid intelligent systems in which these paradigms are contained.</p>\n <p><strong>About IEEE and IEEE Slovenia: </strong>The <strong>Institute of Electrical and Electronics Engineers</strong> (<strong>IEEE</strong>) is a <a title="Professional association" href="https://en.wikipedia.org/wiki/ Professional_association">professional association</a> with its corporate office in <a title="New York City" href="https://en.wikipedia.org/wiki/New _York_City">New York City</a> and its operations center in <a title="Pisca taway\, New Jersey" href="https://en.wikipedia.org/wiki/Piscataway\,_New_J ersey">Piscataway\, New Jersey</a>. It was formed in 1963 from the amalgam ation of the <a title="American Institute of Electrical Engineers" href="h ttps://en.wikipedia.org/wiki/American_Institute_of_Electrical_Engineers">A merican Institute of Electrical Engineers</a> and the <a title="Institute of Radio Engineers" href="https://en.wikipedia.org/wiki/Institute_of_Radio _Engineers">Institute of Radio Engineers.</a> IEEE Slovenia section is par t of the world's largest technical professional organization for the advan cement of technology. Source: IEEE Slovenia (<a href="https://www.ieee.si/ ">https://www.ieee.si/</a>).<br /><strong>About IEEE Slovenia CIS Chapter: </strong>The mission of IEEE Slovenia CIS chapter (Geo-code CH08873) is a dvancing nature-inspired computational paradigms in science and engineerin g to foster technological innovation and excellence for the benefit of hum anity. More information about IEEE Slovenia CIS Chapter at the website:&nb sp\;<a href="https://r8.ieee.org/slovenia-cis/">https://r8.ieee.org/sloven ia-cis/</a>.</p> END:VEVENT END:VCALENDAR