Kiml2020: International Workshop on Knowledge-infused Mining and Learning

We (Amit Sheth, Ying Ding, Pavan Kapanipathi, and I) are organizing , International on Knowledge-infused Learning (2nd Edition of KDD Workshop on Knowledge-infused Mining and Learning), co-located with The Knowledge Graph Conference

is focused towards the use of in
and other relevant themes.

and other details: https://aiisc.ai/KiL2021
: March 15, 2021
: https://easychair.org/cfp/kil2021

Please consider submitting your research, and we would appreciate it if you among your network of colleagues, students, and friends.

Stay Safe and Stay Well,
Thank You!
Manas Gaur
On behalf of Co-Organizers of

CFP K-iL2021 invites researchers and practitioners from both academia and industry who are interested in infusion of knowledge into Deep Learning, human-allied probabilistic learning, knowledge graph (KG) enhance natural language processing tasks, K-iL enhanced conversational agents (chatbots), interpre...

The Artificial Intelligence Institute organized the "Workshop on Knowledge-infused Mining and Learning" co-located with 26th ACM SIGKDD Conference. The workshop hosted a series of 4 keynotes covering major issues surrounding "Adoption of AI" :

1. Dr. Manuela Veloso's thoughts on "Achieving Symbiotic Autonomy in AI-based Financial Decision Making,"

2. Dr. Sriraam Natarajan's projected his research on "Human Allied Probabilistic Learning."

3. Dr. Jose-Luis Ambite's Keynote summarized, "Various methods for preserving Semantic in Biomedical Data Science."

4. Dr. Pieter De Leenheer provided a vision of "Achieving Data Accountability in the Age of Data Intelligence."

The workshop streamed with seven live paper presentations (out of the ordinary), covering vibrant topics: Knowledge Intensive Learning, Socio-behavioral perspective to AI for COVID-19, Measuring Negative Exposure of Media on Mental Health of individuals, Pseudo Labeling with Task and Language-specific Attention for Cross-Lingual Crisis Tweet Classification, and many more.

The workshop conferred Student Best Paper Award to Devendra Singh Dhami from StarLing Lab at UT Dallas for the impactful contribution in improving GANs for clinical care by incorporating human advice. Paper:https://aiisc.ai/KiML2020/papers/KiML2020_paper_3.pdf

The workshop has created a playlist of all the presentations, which can found on the following link: https://www.youtube.com/playlist?list=PLqJzTtkUiq54bk4w92GzoUguE7jHP_LUa

: https://aiisc.ai/KiML2020/acceptedpapers.html
:https://aiisc.ai/KiML2020/Workshop_Proceedings.pdf

We look forward to a more exciting submission in the second edition of KiML2020.

aiisc.ai

ANNOUNCEMENT!!

We are delighted and honored to announce :
at the Workshop on Knowledge-infused Mining and Learning co-located with :

1. Dr. Manuela Veloso, J.P. Morgan AI Research
2. Dr. Sriraam Natarajan, UT Dallas
3. Dr. Jose Luis Ambite, Information Sciences Institute (ISI) - USC
4. Dr. Pieter De Leenheer, Harvard Business School

There will be 7 amazing papers presentations at with a session for

Accepted Papers: http://kiml2020.aiisc.ai/acceptedpapers.html
Workshop Program: http://kiml2020.aiisc.ai/program.html

Workshop and Conference Registration link: https://www.cvent.com/events/kdd-2020/event-summary-eb9eeca9963443d18902dbe47190ea4c.aspx

SIGKDD

We excited to see you all (virtually) at

Stay Safe and Be Well!!
Regards
KDD KiML Organizers

The Call for Papers deadline for KiML@KDD 2020 has been extended to June 15, 2020.
Please consider submitting your research on healthcare, public health, crisis response, and finance-related big data.
More information can be accessed at Website: http://kiml2020.aiisc.ai/
EasyChair Paper Submission link: https://lnkd.in/e_kQ3JD

Organizers of the Workshop:
Manas Gaur, Alejandro (Alex) Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit Sheth, Biplav Srivastava

for submissions to the workshop and ( ) at ----

**June 02, 2020**.

Please consider submitting your research on (not limited to) the role of knowledge graphs, ontology, and human-in-loop in ), , and -related .

: http://kiml2020.aiisc.ai/

: https://lnkd.in/e_kQ3JD

Organizers:

Manas Gaur, Alejandro (Alex) Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit Sheth, Biplav Srivastava







Artificial Intelligence Institute - Univ of South Carolina

KiML@KDD 2020

As stay-in-place orders have been issued in countries all over the world, many people have increased their usage and time spent on social media. Starting from mid-March, we have used artificial intelligence techniques to collect and analyze over 700 million tweets on Twitter and about 700,000 news articles about the COVID-19 pandemic. We intended to understand how Americans are dealing with depression, anxiety, and addiction caused by COVID-19. We have used algorithms to estimate the age and gender and categorize the tweets into GenZ, Millennials, and others. We have analyzed how different age groups are reacting to triggers such as school closures, increasing deaths, etc. during the pandemic. Complete detail of the analysis curated by us has been published at https://www.healthline.com/health-news/what-your-social-media-posts-reveal-about-how-youre-dealing-with-covid-19

What Your Social Media Posts Say About Your Stress Level Right Now Here's how our social media posts reveal how we're psychologically and emotionally handling situations like the COVID-19 pandemic without us realizing it.

pandemic on ---- explains the increasing across different states in the .

CC:
Amit Sheth Ugur Kursuncu Vedant Khandelwal Vishal Pallagani and Valerie L. Shalin.

Measuring Social Quality during the COVID-19 pandemic based on mental health & addiction: Insights from semantic analysis of News & Social Media* The big idea: Using my team’s core artificial intelligence expertise in automating the use of knowledge graphs and machine learning for measuring mental health and social ills such as prescription drug and substance issues and gender-based violence, we can monitor social media to capture evolving ...

has caught the eye of every individual by impacting the physical, mental, and financial health. With the surge in the cases in the united states, as seen through predictor models, it is necessary to look at and from the objective and subjective online content from the news. With such a culturally diverse populated country, we seek to look at the impact of through reports dispatched from January 01 to March 29.
Through a composition of , , and models, we estimated the distribution of the impact of across different states in the US.

A small illustration of our -driven approach is shown here:

AI Institute Covid-19 Indicies

Hello All,

We are organizing the workshop on Knowledge-infused Mining and Learning at 26th ACM SIGKDD Conference, the world's premier conference in Data Mining, Big Data Analytics, and Applied Data Science.

The CFP is out http://kiml2020.aiisc.ai

A great opportunity to showcase your analytical effort in understanding COVID-19 pandemic and helping policy-makers in gathering new perspectives.

Please consider submitting your research, and we would appreciate it if you share among your colleagues, students, and friends.
Deadline is: May 20th, 2020
On the whole, the workshop and conference would provide a great opportunity to network and grow.

For any questions, please contact [email protected]

Co-organizers:
Manas Gaur, AI Institute, University of South Carolina.
Alejandro (Alex) Jaimes, Dataminr Inc., USA.
Fatma Özcan, IBM Research, USA.
Srinivasan Parthasarathy, Ohio State University, USA.
Sameena Shah, JP Morgan, USA.
Amit Sheth, AI Institute, University of South Carolina, USA.
Biplav Srivastava, IBM Chief Analytics Office, USA.

KiML@KDD 2020