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Category Archives: news
2019 Retrospective
As we are approaching the beginning of 2020, it is worth taking a minute to reflect over the year 2019. People first! We are thrilled to have welcomed two new PhD students in our group this year: Sooho Kim , … Continue reading
Paper presentation in ACML 2019
Amina presented her recent work Learning to Augment with Feature Side-information in this year's edition of ACML, which took place in the beautiful Nagoya, in Japan. Attending this conference has been a great opportunity to follow the latest advancements of the field, … Continue reading
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Tagged ACML, Amina, Amina Mollaysa, conderence, paper, presentation
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Russ Webb from Apple AI research presented the company’s latest research interests
On Friday, the 15th of November 2019, we had the pleasure to host Dr. Russ Webb, research director of the newly established Apple AI research lab in Cambridge, UK, who gave a fascinating talk.
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Tagged apple, apple aI research, artificial intelligence, Russ Webb
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Talk on Earthquake prediction research by Prof. George C. Anagnostopoulos
On Friday, the 8th of November 2019, we have the pleasure of hosting Prof. George C. Anagnostopoulos, who will present his work on:
“Data Analysis and Interpretation of Electromagnetic disturbances detected by Low Earth Orbit (LEO) satellites before Earthquakes (EQs): Perspectives for the EQ prediction research.”
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Tagged earthquake prediction, George C. Anagnostopoulos, invited talk, Seminar
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Frantzeska at Swiss Machine Learning Day on 13Nov2019
In addition to being a busy mother of a 2 year old, in her research, Frantzseska Lavda has been investigating how to improve the generative properties of variational autoencoders. She will present her ideas in a poster session of the … Continue reading
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Tagged conference, Frantzeska, Frantzeska Lavda, VAE
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Paper about LoRaWAN localization presented in WPNC
Our paper "A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN" was presented by Grigorios Anagnostopoulos, in the 16th IEEE Workshop on Positioning, Navigation and Communications (WPNC 2019), in Bremen, Germany. The scope of the WPNC contributions this year ranged from IoT and 5G positioning, to autonomous car localisation using LiDAR descriptors. The strive for more transparent and reproducible research in the field, which Greg promotes in his paper, was well appreciated by the community.
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Tagged conference, Greg, Grigorios G. Anagostopoulos, localization, positioning, WPNC
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TechLunch – meeting industry
In cooperation with the Geneva Creativity Center we're organizing on 22nd October 2019 a TechLunch to discuss with companies in the Geneva region what machine learning can bring to them. It is an occasion for anybody interested in applying machine … Continue reading
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Tagged Alexandros Kalousis, Seminar, Talk
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Paper presentation in IPIN 2019
Grigorios Anagnostopoulos presented the paper "A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning" in the 10th edition of the Indoor Positioning and Indoor Navigation (IPIN) conference. Attending this conference offered a great opportunity … Continue reading
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Tagged conference, Greg, Grigorios G. Anagostopoulos, IPIN, localization, positioning
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Welcome to Nikos
We have got a new PhD member. Nikos Kostagiolas has joined us in the beginning of September. His plan is to become one of our reinforcement learning wizards. Working on models of human locomotion within our project on pathological gait … Continue reading
Talk by prof. Byeng Dong YOUN
In developing our collaborations with experts and scholars around the globe, we were happy to welcome Dr. Byeng Dong YOUN, Professor of Mechanical and Aerospace Engineering at Seoul National University (SNU), the founder and CEO of OnePredict Inc. (onepredict.com), and the President of the Korean Society of Prognostics and Health Management (PHM). Prof. Youn presented his talk on Industry AI based Machine Intelligences for Industrial Digitalization and we discussed the challenges related to applying machine learning techniques in industrial monitoring.