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“Application of Ensemble methods for solving imbalanced data problems”

Poster presented at the Deep Learning Indaba 2022 by Henock Makumbu Mboko

A Cascade Deep Forest Model for Breast Cancer Subtype Classification Using Multi-Omics Data

Poster presented at the Deep Learning Indaba 2022 by Ala’a El-Nabawy

A comparison of the efficiency of MRI and Mammography in breast cancer detection, using Convolutional Neural Networks

Poster presented at the Deep Learning Indaba 2022 by Keneilwe Mokoka

A computer vision non-intrusive mechanism to collect images and give real-time insights about animals behaviour on coral reefs in Mozambican waters

Poster presented at the Deep Learning Indaba 2022 by Luís Pina

A Deep Learning Approach for Quantifying Tuta Absoluta ’s damage on Tomato Plants

Poster presented at the Deep Learning Indaba 2022 by Loyani Loyani

A Deep Learning Approach to Predict Blood Pressure from PPG Signals

Poster presented at the Deep Learning Indaba 2022 by Dylan Geldenhuys

A Deep learning Model for Retinopathy of Prematurity Stage III Disease Diagnosis

Poster presented at the Deep Learning Indaba 2022 by ELIZABETH BENSON

A GAN Solution for Data imbalance in Atherosclerosis Screening

Poster presented at the Deep Learning Indaba 2022 by AMEL LAIDI

A Machine Learning Approach to Predict Autism Spectrum Disorder using fMRI data

Poster presented at the Deep Learning Indaba 2022 by Oyindamola Olatunji

A NEW METHOD BASED ON A DEEP LEARNING MODEL FOR AUTOMATIC RECOGNITION OF CELLS IN CYTOLOGICAL IMAGES

Poster presented at the Deep Learning Indaba 2022 by Amin KHOUANI

A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning

Poster presented at the Deep Learning Indaba 2022 by Siobhan Hall

A Recommendation System to Enhance Midwives’ Capacities in Low-Income Countries

Poster presented at the Deep Learning Indaba 2022 by Eniola Olaleye

A review on cutting edge neural networks advancements

Poster presented at the Deep Learning Indaba 2022 by Mona Mayouf

A Technology Intelligence Recommendation System based on Multiplex Networks

Poster presented at the Deep Learning Indaba 2022 by Foutse YUEHGOH

A Tunisian-Dialect deep language model based psychologist chatbot to assess and manage the mental health of Tunisian people during and after COVID-19 pandemic.

Poster presented at the Deep Learning Indaba 2022 by Fadoua Ouamani