kdd_lab Just tweeted ********************************************** RT @SoBigData: Crash Prediction and Risk Assessment with Individual Mobility Network https://t.co/LKmZd4D4ZY
kdd_lab Just tweeted ********************************************** RT @SoBigData: FairLens: Auditing Black-box Clinical Decision Support Systems https://t.co/kzOilvXhXc
kdd_lab Just tweeted ********************************************** RT @SoBigData: Dynamics of Scientific Collaboration Networks in Academic Migrations https://t.co/vM7SlTJiHs
kdd_lab Just tweeted ********************************************** RT @TrackandKnow: On Dec. 7 at 10am CET, @SoBigData & Track&Know are organising a joint webinar entitled "Big Mobility Data at work: a case of synergy between SoBigData & the T&K project." Mirco Nanni from CNR will present three Big Mobility Data Analytics tools. https://t.co/GnvG3hLDUf https://t.co/jXeB8TOMW2
kdd_lab Just tweeted ********************************************** RT @GiulioRossetti: When you have amazing students... Congrats @GaPisciotta et. al, great talk, well deserved! Best Oral Presentation award at #complexnetworks2020 @DI_Unipisa @UnipiNews @kdd_lab @SoBigData https://t.co/AbMfNXFaU7
kdd_lab Just tweeted ********************************************** RT @lucadebiase: Uno e Dino. La lezione della digitalizzazione con @DinoPedreschi - https://t.co/yXlpBUUxbV (e c’è pure il trailer)
kdd_lab Just tweeted ********************************************** RT @mesosbrodleto: Monday news! We are launching a Match Analysis channel, with automatic report from the main european leagues. Both on twitter (@PlayerankB) and Telegram (https://t.co/g536WvBIHw) #football #dataviz
Telegram
PlayerankBot match analysis
Match analysis insights - powered by Playerank Data Science team
kdd_lab Just tweeted ********************************************** RT @lucpappalard: 📢🔥 The latest survey on #DeepLearning approaches to 1⃣Next-Location prediction2⃣Crowd-Flow prediction and3⃣Trajectory Generation! (+ list of open datasets) Arxiv 👉 https://t.co/q4wCmjxytJ GitHub 👉 https://t.co/NJUf9WuHmT with @luca_msl @GianniBarlacchi @brulepri https://t.co/Uk31F85d18
kdd_lab Just tweeted ********************************************** RT @VVoukelatou: Looking forward to presenting our research on "Estimating and explaining the countries' peace from world news" on COMPLEX SYSTEMS FOR THE MOST VULNERABLE today at 16:20 Central European Time (GMT+1).📊🌍 @lucpappalard @SoBigData https://t.co/qkp7umKkSr
Twitter
Elisa Omodei
Join us online tomorrow Dec 9 at 2pm CET for the 3rd edition of the #CCS2020 satellite on COMPLEX SYSTEMS FOR THE MOST VULNERABLE. Check out the final program 👉https://t.co/zbRui2Rci0
kdd_lab Just tweeted ********************************************** RT @dsalvaz: Very grateful for the opportunity to share my first contribution in cognitive network science. And I learned a lot from the giants in the field! #CCS2020 https://t.co/oUag40BJvN
Twitter
Massimo Stella
Time to get context-aware in "Complexity & Cognition" with an intriguing talk about @dsalvaz and @GiulioRossetti 's work: #CCS2020
kdd_lab Just tweeted ********************************************** RT @FAccTConference: REMINDER: FAccT deadlines coming up! Please share your wisdom and ideas - we need your voice as we continue to shape this community. ❤️ CRAFT deadline: January 4, 2021 AoE Tutorial deadline: 18 December 2020 AoE https://t.co/hYxAp8HWki
Twitter
ACM FAccT (formerly ACM FAT*)
REMINDER: FAccT deadlines coming up! Please share your wisdom and ideas - we need your voice as we continue to shape this community. ❤️ CRAFT deadline: January 4, 2021 AoE Tutorial deadline: 18 December 2020 AoE
kdd_lab Just tweeted ********************************************** RT @rossi_ale: How motion artifacts affect ultra-short HRV estimations? Is it possible to estimate SDNN and rMSSD by noise data? Discover the answer in our last paper! @davidemorelli @HumaForHealth @joinBioBeats @SoBigData @RicercaUnipi https://t.co/Pkj5nZS9Uc
MDPI
Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts
Application of ultra–short Heart Rate Variability (HRV) is desirable in order to increase the applicability of HRV features to wrist-worn wearable devices equipped with heart rate sensors that are nowadays becoming more and more popular in people’s daily…
kdd_lab Just tweeted ********************************************** RT @DinoPedreschi: Our latest paper on predicting flu with supermarket data combining robust models and data-driven patterns, by @kdd_lab's Ioanna Miliou @GiulioRossetti @rinziv Fosca Giannotti with fantastic coauthors at https://t.co/HCYeMMDa4y @alexvespi @zhangqian_rach Xinyue Xiong @SoBigData https://t.co/bw2KxWyKTz
MOBS Lab
research laboratory
kdd_lab Just tweeted ********************************************** RT @SzassTam: @laurapollacci's summary on “Human Migration – Potential areas for combinations of Big Data” workshop at #SocInfo20. https://t.co/o4dvggFDY6 @H20_HumMingBird @SoBigData https://t.co/qAPjX1oysM
kdd_lab Just tweeted ********************************************** RT @DinoPedreschi: @rzanardelli Good point @rzanardelli - actually our pipeline is created with #privacybydesign approach, in the spirit of @SoBigData - indeed, privacy and ethics and transparency may coexist with #dataforsocialgood !!
kdd_lab Just tweeted ********************************************** RT @DinoPedreschi: La tecnologie è per le persone, non viceversa. Il mio articolo su FEDU Magazine di Feltrinelli Education (https://t.co/mijOMUMvyr) @LaFeltrinelli @SoBigData @lucadebiase https://t.co/4wl4i9I6dY
www.feltrinellieducation.it
Feltrinelli Education: corsi, webinar e laboratori | Feltrinelli Education
Scopri il piacere di fare la tua conoscenza su Fedu: troverai percorsi formativi professionali, webinar e lezioni impartite dai più grandi Talent italiani.
kdd_lab Just tweeted ********************************************** RT @rikdrive8s: I'm very happy about my contribution to the IRIS Special on "Artificial intelligence in the audiovisual sector" (https://t.co/flPUO5YEmf) #AI #XAI @kdd_lab @maja_cap https://t.co/sP3Y53zqQ4
European Audiovisual Observatory
What are the challenges and chances offered by Artificial Intelligence to the audiovisual sector?
This new report discusses the opportunities and challenges raised by AI in the audiovisual sector
kdd_lab Just tweeted ********************************************** RT @ruggieris: New paper with Fabrizio Lillo on "Estimating the Total Volume of Queries to a Search Engine" to appear in IEEE TKDE - with R code at https://t.co/166gpeTUOg @kdd_lab
GitHub
ruggieris/QVolume
QVolume: Estimating the Total Volume of Queries to a Search Engine - ruggieris/QVolume
kdd_lab Just tweeted ********************************************** RT @rikdrive8s: Explain locally, understand globally! GLocalX paper is finally out: https://t.co/iSwIb4EQAW @kdd_lab @DinoPedreschi @annamonreale
Sciencedirect
GLocalX - From Local to Global Explanations of Black Box AI Models
Artificial Intelligence (AI) has come to prominence as one of the major components of our society, with applications in most aspects of our lives. In …
kdd_lab Just tweeted ********************************************** RT @looselycorrect: Great seminar on #XAI, trust and fairness by Fosca Giannotti 👉 https://t.co/rlubsTh5OF It's great to see such resources made available on youtube @UniTrento_DISI !
YouTube
Explainable Machine Learning for Trustworthy AI
Explainable Machine Learning for Trustworthy AI by Dr. Fosca Giannotti, ISTI-CNR Pisa
kdd_lab Just tweeted ********************************************** RT @vdignum: Check out our work on data governance for #covid19 with Mirco Nanni @DinoPedreschi, Fosca Giannotti @frankdignum, @hoven_j and many more. Free download for 4 weeks: https://t.co/RDeYGyh6oF #responsibleAI #COVID19 #data @ResponsibleAIU1 @AI4EU