- Meron Desta, Tagel Aboneh and Bisrat Derebssa, Deep Learning-based Object Detection for Smart Solid Waste Management System
- Alexander T Mengesha, Tesfamariam M Abuhay and Adane Letta, Predicting the Types of Intimate Partner Violence against Married Women in Ethiopia using Homogeneous Ensemble
- Fasil Alemu and Seid Hassen, Design Amharic Named Entity Recognition Model Using Deep Learning Techniques
- Gashaw Desalegn Wubneh and Michael Melese, Design and Develop Amharic Chatbot for Mental Health
Artificial Intelligence (AI) has been improving people’s lives by opening new ways of approaching societal, political, economical, and environmental problems. AI has been used as a catalyst to achieve the Sustainable Development Goals (SDGs) whose completion is set to lead to a more equitable, prosperous, and sustainable world. AI, for instance, enables predicting natural disasters before they happen, forecasting and tracking disease spreads (e.g., preventing and controlling COVID-19), notifying or labeling misinformation and hate speeches on social media, logging and mining, advocating human rights and inclusion of marginalized populations, predicting weather conditions and facilitating precision agriculture, supporting personalized and value-based healthcare and increasing access and quality of education. To this end, the Deep Learning IndabaX-2022 Ethiopia annual conference, which will take place at the College of Informatics, University of Gondar, aims to bring young researchers and practitioners together from academia and industry working to solve pressing societal problems with machine learning and artificial intelligence. It is an interdisciplinary conference, with the theme of Artificial Intelligence and Machine Learning for Social Goods and Sustainable Economic Development of Ethiopia that creates a platform to share ideas, knowledge, experience and form further collaboration. This conference, hence, aims to attract research papers that investigate application of machine learning and deep learning to solve locally relevant societal problems and the collection of abstracts will be published as a booklet that will be distributed to the participants in a hardcopy.
Topics of interest include, but are not limited to:
Artificial intelligence and machine learning for healthcare, agriculture, education, finance, etc.
Applications of Machine Learning techniques in Social Big Data
Machine learning for applications for social good and collaboration.
Resource allocation systems for social goods
Security and privacy in analytics in social media
Sustainable social justice in an open world
Compatibility and interactions between AI and sustainability
Natural Language Processing and Computer Vision
Deep Learning and Machine Learning
Submission to this conference should be prepared using a word template and can be submitted via this Application Form.
- Work may be previously published, completed, or ongoing.
- Submissions will be peer-reviewed by at least 2 reviewers in the area.
- The workshop will not publish proceedings.
- All submissions must be in PDF format.
- All papers should follow ACM double columns template
- Papers should not be longer than ten (10) pages.