Affinity Event

Black in AI

Victor Silva ⋅ Foutse Yuehgoh ⋅ Salomey Osei ⋅ Blessing Ogbuokiri ⋅ Idriss Cabrel Tsewalo Tondji ⋅ Deborah Dormah Kanubala ⋅ Lyse Wamba

2022 Affinity Event

Project Page [ Contact: blackinai2022@googlegroups.com ]

Abstract

The Black in AI workshop is a one-day hybrid event with invited speakers, oral presentations, and posters from individuals in the community. The event will bring together faculty, graduate students, researchers, and engineers to network, share ideas, foster collaboration, and discuss initiatives. There will be a mix of highlighted talks and keynote presentations, which can be delivered in person or online, as well as keynote sessions where an invited person speaks on a predefined topic to a broad audience of Black in AI, which can also be delivered in person or online. All presentations will be broadcast online, so online participation is possible. This will be an opportunity to learn about the diverse work of community researchers, and everyone is invited to attend.

Video

Chat is not available.

Schedule

Timezone: America/Los_Angeles

7:40 AM

Opening Remarks

Video

7:50 AM

Cross-lingual Transfer for Named Entity Recognition: A study on African Languages

David Adelani

Video

8:35 AM

Cross-lingual Transfer for Named Entity Recognition: A study on African Languages

David Adelani

8:50 AM

Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models.

Jean-Rassaire Fouefack

Video

9:05 AM

COVID-19 Radio ASR: Analyzing community voices from radio broadcasts for public health planning, response and policy

Jonathan Mukiibi

Video

9:20 AM

Stronger is not better: Better Augmentations in Contrastive Learning for Medical Image Segmentation

Azeez Idris

Video

9:35 AM

Re-QGAN: an optimized adversarial quantum circuit learning framework

Anais Sandra Nguemto Guiawa

Video

9:50 AM

Contributed Talks 1,2,3,4

Jean-Rassaire Fouefack ⋅ Azeez Idris ⋅ Jonathan Mukiibi ⋅ Anais Sandra Nguemto Guiawa

10:10 AM

Mentoring session

11:00 AM

Lunch Break

12:30 PM

Learning scene and video understanding with limited labels

Mennatullah Siam

1:15 PM

Learning scene and video understanding with limited labels

Mennatullah Siam

1:30 PM

Predictive Multiplicity in Probabilistic Classification

Jamelle Watson-Daniels

1:45 PM

End-to-End Multilingual Automatic Speech Recognition for Less-Resourced Ethiopian Languages

Martha Yifiru Tachbelie

Video

2:00 PM

Towards Effective Speech-based AI in the Classroom: The Case of AAE-Speaking Children

Alexander Johnson

2:15 PM

Contributed Talks 5,6,7

Jamelle Watson-Daniels ⋅ Alexander Johnson ⋅ Martha Yifiru Tachbelie

2:30 PM

Closing Remarks

2:30 PM

Affinity Joint Poster Session

Virtual Affinity Poster Session

Predictive Multiplicity in Probabilistic Classification

Jamelle Watson-Daniels ⋅ David Parkes ⋅ Berk Ustun

Towards trustworthy AI-based algorithms in healthcare: A case of medical images

Mbangula Lameck Amugongo

Improving neural machine translation for low-resource languages using related language resources

Atnafu Lambebo Tonja ⋅ Olga Kolesnikova

Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models

Jean-Rassaire Fouefack

Machine Learning Model for Early Detection of Irish Potato Diseases Based on Crop Imagery Data

Hudson Laizer

Accurate Machine-Learning-Based classification of Leukemia from Blood Smear Images

Simon Mekit ⋅ Kokeb Dese Gebremeskel

Towards Effective Speech-based AI in the Classroom: The Case of AAE-Speaking Children

Alexander Johnson ⋅ Abeer Alwan ⋅ Alison Bailey ⋅ Robin Morris ⋅ Julie Washington ⋅ Mari Ostendorf

OCR System for the Recognition of Ethiopic Real-Life Documents

Tesfahunegn Mengistu

DistillEmb: Distilling Word Embeddings via Contrastive Learning

Amanuel Mersha ⋅ Stephen Wu

Ensemble of CNN Models for Tuberculosis Diagnosis

DynamicViT: Faster Vision Transformer

Amanuel Mersha ⋅ Samuel Assefa

YOSM: Yorùbá Sentiment Corpus for Movie Reviews

Iyanuoluwa Shode ⋅ David Adelani ⋅ Anna Feldman

Interactive Video Saliency Prediction: The Stacked ConvLSTM Approach

Natnael Argaw Wondimu ⋅ Cedric Buche ⋅ Ubbo Visser

NigerianPidgin++: Towards End-to-End training of an Automatic Speech recognition system for Nigerian Pidgin Language

Amina Rufai ⋅ Abeeb Afolabi ⋅ Daniel Ajisafe ⋅ Oluwabukola Adegboro ⋅ Esther Oduntan ⋅ O.T. Arulogun

Convolutional Neural Network deep learning model for early detection of streak virus and lethal necrosis in maize: A case of Northern-highlands, Tanzania.

Flavia Mayo ⋅ Neema Mduma

Development of a Model to Classify Skin Diseases using Ensemble Machine Learning Techniques

Oluwayemisi Jaiyeoba ⋅ Temitope Owolabi ⋅ Emeka Ogbuju

Studying Bias in GANs through the Lens of Race

Vongani Maluleke ⋅ Neerja Thakkar ⋅ Tim Brooks ⋅ Ethan Weber ⋅ Trevor Darrell ⋅ Alexei Efros ⋅ Angjoo Kanazawa ⋅ Devin Guillory

Assessing Schistosomiasis transmission dynamics with heterogeneous intermediate host: A modeling study

Chidozie Chukwu

Set2Set Transformer: Towards End-to-End 3D Object Detection from Point Clouds

Yeabsira Tessema ⋅ Abel Mekonnen ⋅ Michael Desta ⋅ Selameab Demilew

Dissecting the Genre of Nigerian Music with Machine Learning Models

Sakinat Folorunso

Impact of Feedback Type on Explanatory Interactive Learning

Misgina Tsighe Hagos ⋅ Kathleen Curran ⋅ Brian Mac Namee

Image Segmentation of Radio Interferometric Images Using Deep Neural Networks

Ramadimetse Sydil Kupa ⋅ Marcellin Atemkeng ⋅ Kshitij Thorat ⋅ Oleg Smirnov

Prediction of the ability and motivation to adopt Reproductive Health Behavioural change using anonymized customer center audio data

Olubayo Adekanmbi ⋅ Oluwatoyin Adekanmbi

Crowdsourcing-Powered Machine Learning Application for Fake Message Validation and Localized Instant Response Platform in Disaster Management

Olubayo Adekanmbi

Building Identification In Aerial Imagery using Deep learning

Proscovia Nakiranda ⋅ Trienko Grobler

Privacy-Preserving Online Mirror Descent With Single-Sided Trust for Federated Learning

Olusola Odeyomi ⋅ Gergely Zaruba

Segmentation of Tuta Absoluta’s Damage on Tomato Plants: A Computer Vision Approach

Loyani Loyani

Pre-operative glioma grade prediction from multi-modal MR images based on an ensemble of deep learning models

Abdela Ahmed Mossa ⋅ Ulus Cevik ⋅ Mohammed Hussen Billal

Ethical Challenges Facing Data-Driven Policing: A Review

CHIBUZOR OKOCHA

End-to-End Multilingual Automatic Speech Recognition for Less-Resourced Ethiopian Languages

Martha Yifiru Tachbelie ⋅ Martha Tachbelie

Cocoa Beans Classification Using Enhanced Image Feature Extraction Techniques and A Regularized Artificial Neural Network Model.

Eric Opoku ⋅ Rose-Mary Mensah Gyening ⋅ Obed Appiah

Separate and Extract a Mixed Audio Using Deep Learning

Wesagn Dawit Chemma

Imitation from Observation With Bootstrapped Contrastive Learning

Medric Sonwa ⋅ Johanna Hansen ⋅ Eugene Belilovsky

Comparison of Classification Algorithms for Predicting Completeness of Measles Vaccination

Peter Oseghale Ohue ⋅ Oluyemi Adewole Okunlola

Deep Learning-Based Multi-Vehicle Tracking Model with Speed Estimator for the MLK Smart Corridor in Downtown Chattanooga, TN

Yasir Hassan

INTEGRATING SOIL NUTRIENTS AND LOCATION WEATHER FOR CROP YIELD PREDICTION

Emeka Ogbuju ⋅ Nkechi Dekanu ⋅ Ebenezer Oladipe

Towards Afrocentric AI

Ife Adebara

Evaluation of Convolutional Neural Network and Gradient Boosting Methods for Bug Severity Classification

Aminu Ahmad

Re-QGAN: an optimized adversarial quantum circuit learning framework

Anais Sandra Nguemto Guiawa

COVID-19 Radio ASR: Analyzing community voices from radio broadcasts for public health planning, response and policy

Jonathan Mukiibi

Enabling Integration and Interaction for Decentralized Artificial Intelligence in Airline Disruption Management

Kolawole Ogunsina

Predicting the Level of Anemia among Ethiopian Pregnant Women using Homogeneous Ensemble Machine Learning Algorithm and Deploy on Cloud-based Framework.

Belayneh Dejene ⋅ Tesfamariam Abuhay ⋅ Dawit Shibabaw

Detecting gender bias in pre-trained language models for zero-shot text classification

Nile Dixon

Learning to Mitigate AI Collusion on E-Commerce Platforms

Eric Mibuari ⋅ Gianluca Brero ⋅ David Parkes ⋅ Nicolas Lepore

Temporal Cycle Consistency: for a Video-to-Video Translation.

Kirubel Abebe Senbeto

An instance segmentation approach for automatic insulator defect detection

⋅ ELDAD Antwi-Bekoe

Unsupervised annotation of differences between genomic datasets

Eman Asfaw

Using Epidemic Multi-agent Synthetic Datasets for Predictions in Communication Networks: An LSTM Perspective

ChukwuNonso H Nwokoye ⋅ Chukwuemeka E Etodike ⋅ Queen Nkechi Chigbue

A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

Ibomoiye Domor Mienye

Simulating Health Time Series by Data Augmentation

Louis Gomez ⋅ Adedolapo Toye ⋅ Robert Hum ⋅ Samantha Kleinberg

Crop Recommendation for Precision Agriculture using Machine Learning techniques – Towards a More Sustainable Agriculture.

Damilola Adegoke

Gender Bias Evaluation in Luganda-English Machine Translation

Eric Peter Wairagala

Learning by Injection: Attention Embedded Recurrent Neural Network for Amharic Text-image Recognition

Tariku Adane Gelaw ⋅ Birhanu Hailu Belay ⋅ WELEKIROS GEBRESLASIE

Enhancing Epidemiological Surveillance Systems Using Dynamic Modeling: A Scoping Review

ADEGBOYEGA ADEBAYO

The Effects of Acoustic Features of Speech on the Performance of an Automatic Speaker Recognition

Tumisho Mokgonyane

Speech Emotion Recognition

Joy Bello ⋅ Taiwo Kolajo

Mobile-PDC: High-Accuracy Plant Disease Classification for Mobile Devices.

Samiiha Nalwooga ⋅ Henry Mutegeki

MKA-Net: Multi-Kernel Attention Conv-Network

Abenezer G Girma ⋅ Nana Kankam Gyimah

Surface Defect Detection: A comparative analysis of Deep Learning-based Frameworks

Nana Kankam Gyimah ⋅ Abenezer G Girma

Stronger is not better: Better Augmentations in Contrastive Learning for Medical Image Segmentation

Azeez Idris ⋅ Abdurahman Ali Mohammed ⋅ Samuel Fanijo

Deepware: Imaging performance counters with deep learning to detect ransomware

Gaddisa Olani Ganfure ⋅ Yuan-Hao Chang

DEEP LEARNING BASED AFAAN OROMO HATE SPEECH DETECTION

Gaddisa Olani Ganfure

Domain-Specific Lexicon-Based Sentiment Analysis using Contextual Shifter Patterns

Shamsuddeen H Muhammad

FacEDiM: A Face Embedding Distribution Model for Few-Shot Biometric Authentication of Cattle

Meshia Cédric Oveneke ⋅ Rucha Vaishampayan ⋅ Deogratias Lukamba Nsadisa ⋅ Rucha Vaishampayan