Spain

ECAI 2020

Human Activity Recognition from Wearable Sensor Data Using Self-Attention

activities of daily living

wearable sensor

human activity recognition

representation learning

attention mechanism

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.

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Learning Temporal Action Models via Constraint Programming

Finite and Con dent Teaching in Expectation: Sampling from In finite Concept Classes

A Shared-Word Sensitive Sequence-to-Sequence Features Extractor for Sentences Matching

A Convergent Off-Policy Temporal Difference Algorithm

BTDE: Block Term Decomposition Embedding for Link Prediction in Knowledge Graph

Personalized Automated Machine Learning

Towards Inconsistency Measurement for Business Rule Bases

RoI Feature Propagation for Video Object Detection

An experimental study on the behaviour of Fuzzy Quantification Models

TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification

https://d3smihljt9218e.cloudfront.net/transcript/1088/subtitle/c77b6e08fa6b9b3df283acbcb5aa9fcb.vtt

English (automatic)

Human Activity Recognition from Wearable Sensor Data Using Self-Attention

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Learning Temporal Action Models via Constraint Programming

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Human Activity Recognition from Wearable Sensor Data Using Self-Attention

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Next from ECAI 2020

Learning Temporal Action Models via Constraint Programming

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Accommodating Audio Modality in CLIP for Multimodal Processing

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