Brazil

IWSSIP 2020

Interpretability of machine learning models: application for lawsuit prediction in the energy sector

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

keynote

The 27th International Conference on Systems, Signals and Image Processing.

Robust Scene Understanding Via Real-Time Approximate Bayesian Computations

Modern Architecture for Core Video Understanding

Meta-Learning Applications in Digital Image Processing

Learning to "see" touch

Biomedical Signal Processing and Analysis I

Biomedical Signal Processing and Analysis II

Signal Processing

Machine Learning & Prediction

Image-Based Detection, Recognition and Classification I

Image-Based Detection, Recognition and Classification II

live discussion

https://d3smihljt9218e.cloudfront.net/transcript/1881/subtitle/c5a45a8456e55f620cc52d58ee377a40.vtt

English (automatic)

Premium content

Interpretability of machine learning models: application for lawsuit prediction in the energy sector

Downloads

Next from IWSSIP 2020

Robust Scene Understanding Via Real-Time Approximate Bayesian Computations

Similar lecture

Optimal Sparse Recovery with Decision Stumps

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES