Black in AI

Important Information

Black in AI 2023 - Accepted Papers

	ACCEPTED PAPERS - BAI 2023
Paper_ID	Authors	Title	Area
5	Bazen G Teferra (University of Toronto)*	Transforming Anxiety Screening: The Power of Contextual Linguistic Patterns	Applications of AI to Health
9	Yvan Tamdjo Biakeu (AIMS-Senegal)*; Soona Sedahmed Ali Osman (AIMS-Senegal); Pidong Wang (Google Research)	Building a zero-shot translation model for some African languages: Afrikaans, Hausa, Malagasy, Swahili, Xhosa, and Zulu	NLP
17	Shumet Tadesse Nigatu (University of Gondar); Lomi Adane (University of Gondar); Tariku A Gelaw (Ethiopian Artificial Intelligence Institute)	Language Identification in Low-Resource Multilingual Document Images using Deep Learning Techniques	Deep Learning
20	zemenfes Hailemariam Gebremedhin ( Addis Ababa University) * ; Mulubrhan Abebe Nerea ( Addis Ababa University); WELEKIROS GEBRESLASIE (AI Institute) ; Abel Abebe Bzuayene (AI Institute)	Efficient Amharic Audio Search using Text-Based Spoken Term Detection with Models	Artificial Intelligence
28	Misgina Tsighe Hagos (University College Dublin)*; Kathleen Curran (UCD); Brian Mac Namee (University College Dublin)	Distance-Aware eXplanation Based Learning	Computer Vision
29	ELDAD Antwi-Bekoe (AKENTEN APPIAH-MENKA UNIVERSITY OF SKILLS TRAINING AND ENTREPRENEURIAL DEVELOPMENT (AAMUSTED))*; Qiugang Zhan (University of Electronic Science and Technology of China); Xiurui Xie (University of Electronic Science and Technology of China); Guisong Liu (Southwestern University of Finance and Economics)	Insulator Recognition and Fault Detection Using Deep Learning Approach	Deep Learning
32	Promise Ricardo Agbedanu (University of Rwanda)*	Detecting Unseen Malware in Industrial Internet of Things (IIoT) using Optimized SAMKNN and FastICA	Machine Learning
34	Arnaud Nguembang Fadja (University of Ferrara)*	An Intelligent Approach to Fruit Inspection: Defect Identification on Plum Surfaces using YOLO-based Model	Computer Vision
35	Arnaud Nguembang Fadja (University of Ferrara)*	Interpretable Prediction of Covid-19 Positivity using a Neural-Symbolic Approach	Statistical Reasoning
39	Ezekiel Mensah Martey (University of Electronics Science and Technology of China)*; Obed Appiah (UENR); Yakubu Issaka (UMaT); Kwabena Adu (University of Electronic Science and Technology of China)	RTDD-EfficientNetB3: Rail Track Defect Detection using Image Processing and Deep Learning	Deep Learning
40	Tadesse Destaw Belay (Wollo University)*; Sanni Ali Mohamed (School of Hygiene and Tropical Medicine); Seid Muhie Yimam (HCDS, University of Hamburg); Tadesse Kebede (Dilla University)	Data Science for Neonatal Health Data, the Challenges and Opportunities: In the case of Ethiopia	Machine Learning
44	Anokye A Amponsah (Academic Use)*	A Novel Fraud Detection and Prevention Method for Healthcare Claims Processing Using Machine Learning and Blockchain Technology	Applications of AI to Health
50	Joseph Domguia (University of Yaounde 1)*; Guy Nkama (University of Yaounde 1 )	Listening Across the Continent: Collecting and Analyzing African Culture Using Community Radios	NLP
52	Mesay Gemeda ( Centro de Investigación en Computación Instituto Politécnico Nacional)*; Girma Bade ( Wolaita Sodo University ); Atnafu Lambebo Tonja ( Instituto Politécnico Nacional (IPN) ); Olga Kolesnikova ( Instituto Politécnico Nacional )	Bilingual Word-Level Language Identification for Omotic Languages	Natural Language Processing
58	Atnafu Lambebo Tonja (Instituto Politécnico Nacional (IPN))*; Tadesse Destaw Belay (Wollo University); Israel Abebe Azime (AIMS-AMMI); Abinew Ali Ayele (Bahir Dar University); Moges Ahmed (Wuhan University of Technology); Olga Kolesnikova (Instituto Politécnico Nacional); Seid Muhie Yimam (Universität Hamburg)	Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities	NLP
59	Jazmia Henry (Microsoft)*	Scaling Laws or The Law of Diminishing Returns: How Scaling Low Quality Data Degrades Language Model Performance	NLP
64	Misgina Tsighe Hagos ( University College Dublin )*; Kathleen Curran ( UCD ); Brian Mac Namee ( University College Dublin )	Predicting Progression Levels of Mild Cognitive Impairment Patients	Applications of AI to Health
67	Kehinde ARULEBA (University of Leicester)*	Offline Recognition of Hand-drawn Finite Automata	Computer Vision
72	Elie N Mulamba (African Institute for Mathematical Sciences)*	Identify cancer cells based on their biophysical properties	Machine Learning
75	Hernan D Benitez (aifund.ai)*; David Alejandro Jimenez (Pontificia Universidad Javeriana ); Behnood Rasti (Helmholtz-Zentrum Dresden-Rossendorf (HZDR); Jocelyn Chanussot (France); Juan Florez (Paul Scherrer Institute)	Change Detection Approach for Remote Sensing Images Using Graph Subspace Fusion	Computer Vision
76	Semere Kiros Bitew (Ghent University)*; Amir Hadifar (Ghent University); Lucas Sterckx (Lynx Care); Johannes Deleu (Ghet University); Chris Develder (University of Ghent - iMec); Thomas Demeester (Ghent University)	Distractor Reusing for MCQ Generation in Education	NLP
85	Urchade Zaratiana (LIPN)*	Lost or Liberated? A Dive into Bidirectional Transformer LMs Without Positional Encoding	NLP
87	Sakinat O Folorunso (Olabisi Onabanjo university)*	A dental cavity classification using fully connected convolutional neural network	Machine Learning
90	Martha Yifiru Tachbelie (Addis Ababa University)*; Solomon Abate (Addis Ababa University); Tanja Schultz (University of Bremen)	Multilingual Speech Recognition for 26 Languages	NLP
91	Natnael A Wondimu (Addis Ababa University)*; Bizuayehu Geberegziabeher (Independent Researcher); Rediet Adugna (Independent Researcher)	Enhanced Human-Robot Interaction through Spatio-Temporal Saliency Prediction	Computer Vision
96	JEAN Mrs. AMUKWATSE (UTAMU)*	Feasibility of nnUNet Model in MR Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa	Deep Learning
100	Eric Peter Wairagala (Makerere University)*; Jonathan Mukiibi (Makerere University); Andrew Katumba (Makerere University); Joyce Nakatumba-Nabende (Makerere University)	Addressing Linguistic Disparities through Explainable and Interpretable AI for Low-Resourced Languages with Large Language Models	NLP
101	Sakinat O Folorunso (Olabisi Onabanjo university)*	RADIoT: The unifying framework for IoT, Radiomics and Deep Learning Modelling	Machine Learning
104	Emmanuel Asante (University of Energy and Natural Resources)*; Obed Appiah (UENR); PETER APPIAHENE (UNIVERSITY OF ENERGY AND NATURAL RESOURCES)	Revolutionizing Maize Classification with a Cutting-Edge Lightweight Deep Convolutional Neural Network	Deep Learning
106	Girmaw Andualem (Assosa University )*; Wasyihun S Admass (Assosa University)	DEEP LEARNING BASED AUTOMATIC AMHARIC-ENGLISH CODE-SWITCHING DETECTION AND CORRECTION	NLP
109	Proscovia Nakiranda (Stellenbosch University)*; Trienko Grobler (Stellenbosch University)	A Comparison Study: Building Identification in Aerial Imagery using Multi-task Learning	Artificial Intelligence
112	Oreoluwa Boluwatife Babatunde (Olabisi Onabanjo University)*; Victor Olufemi (Obafemi Awolowo University); Toluwani Aremu (Mohamed Bin Zayed University Of Artificial Intelligence)	Enhancing ASR with Zero-Shot Learning for Nigerian Accents	NLP
118	Anthony Soronnadi (Data Scientists Network)*; Olubayo Adekanmbi (Data Science Nigeria	Investigating Large Language Models’ Capability in Capturing Cultural Nuances Used for Describing Locations in Nigeria	NLP
120	Michael Solomon Desta (Korenti Craft Technologies PLC)*; Selameab Demilew (Korenti Craft Technologies); Yeabsira E Tessema (Korenti Craft Technologies); Meron Yohannes Abayneh (Addis Ababa University)	Cross-modal RGB to Thermal Image Distillation	Computer Vision
125	Abel A Mekonnen (Korenti Craft Technologies plc)*; Meron Yohannes Abayneh (Addis Ababa University); SELAMAWIT A HAILE (ADDIS ABABA UNIVERSITY); Hawi Abera Hunde (Addis Ababa University ); Leulseged Admasu (Korenti Craft Technologies plc)	MixStrokes: Harnessing MLP Mixers for Keystroke Dynamics Authentication	Deep Learning
127	Saba Abdulaziz (University of Khartoum )*; Najlaa Musa Mohamed (University Of Khartoum)	Multilingual Stable Diffusion: Towards More Inclusive Text-to-Image Synthesis	Artificial Intelligence
128	Michael Melese Woldeyohannis (Addis Ababa University, Addis Ababa, Ethiopia)*	Bilingual Hate Speech Detection for Amharic and Afaan Oromo Language	NLP
129	Filmawit Teklebrhan Fisiha (Filmawit)*; Misgina Tsighe Hagos (University College Dublin); Abere Yekoye Dessalegn (LMCCO); Solomon Worku (GAMBY medical and business college )	A Postpartum family planning dataset	Applications of AI to Health
130	Rahel Tamiru ( Bahir Dar Universty )*	Automatic Speech Recognition using Self-Supervised Learning Approach	NLP
131	Ammar Nasr Khairi (University of Edinburgh)*	Scaling Down Multilingual Language Models of Code	NLP
132	Siphendulwe Zaza (Rhodes Artificial Intelligence Research Group)*; Marcellin Atemkeng (Rhodes University South Africa)	Automating Anomaly Detection in Telemetry Datasets and Analysing in South Africa Fish Movement Patterns Using Long Short Term Memory and Autoencoders: A Time Series Analysis Approach	Machine Learning
133	Mosima M Masethe (Durban University of Technology)*; Mosima Masethe (Sefako Makgatho Health Sciences University)	Paraphrase Generation Model Using Transformer Based Architecture	NLP
138	Simphiwe Zitha (Eurowings Digital )*	Multi-Task Recursive Classification with Examples (MTRCE)	Artificial Intelligence
139	Semere Kiros Bitew (Ghent University)*; Johannes Deleu (Ghet University); Chris Develder (University of Ghent - iMec); Thomas Demeester (Ghent University)	Distractor Generation via Dynamic Prompts & LLMs	Applications of AI to education
141	Rose-Mary Owusuaa Mensah Gyening (Kwame Nkrumah University of Science and Technology)*; Kate Takyi (Kwame Nkrumah University of Science and Technology); James Ben Hayfron-Acquah (Kwame Nkrumah University of Science and Technology); Michael Asante (Kwame Nkrumah University of Science and Technology)	Deep-Fuzzy Personalisation Framework For Robot-Assisted Learning For Children With Autism	Artificial Intelligence
145	Mengistu K Negia (Bahir Dar Institute of Technology, Bahir Dar University)*; Rahel Mekonen Tamiru (Bahir Dar Universty)	Morpheme-based Amharic-Kistangigna Bi-directional Machine Translation	NLP
153	Christine Mwase (Fudan University)*; Albert Njoroge Kahira (Julich Supercomputing Center); Zhuo Zou (Fudan University)	An Empirical Study of Distributed Deep Learning Training on Edge	Deep Learning
158	Eric Opoku (Savana Signatures)*	Improving Diabetic Patient's Hospital Readmission Predictions: An Ensemble Classifier Approach with Comprehensive Feature Engineering	Applications of AI to Health
160	Richard Sserunjogi (Makerere University)*; Lillian Muyama (Inria Paris)	Using Gaussian Processes for Spatial Prediction of Outdoor Air Pollution Based on Calibrated Data From Distributed Low-Cost Sensor Networks	Machine Learning
161	Sofia Bourhim (ENSIAS)*	DGCF: Deep Graph-based Collaborative Filtering recommender system	Deep Learning
166	Tibabwetiza Joel Muhanguzi (Makerere University)*; Engineer Bainomugisha (Makerere University); Ernest Mwebaze (Sunbird AI)	An Urban Noise Classification Model for Edge Devices	Machine Learning
169	Thato A Serage (University of Limpopo)*; Tumisho B Mokgonyane (University of South Africa)	AUTOMATIC SPEAKER RECOGNITION: A COMPARATIVE ANALYSIS FOR SOUTH AFRICAN LANGUAGES	Machine Learning
171	Bontu F Balcha (Addis Ababa university)*; Hellina Hailu Nigatu (UC Berkeley )	Evaluating Large Language Models in Low-Resource Settings	NLP
172	Olubayo Adekanmbi (Data Science Nigeria)*	Prediction of the ability and motivation to adopt Reproductive Health Behavioural change using anonymized customer center audio data	Applications of AI to Health
174	Kane Hudson (Southern Illinois Universtiy Law School)*	Of Bytes and Men: Charting Legal Liabilities for Social AI	Ethics
179	Olubayo Adekanmbi (Data Science Nigeria)*; Mobolurin Adekanmbi (DSN); Mofolusayo Adekanmbi (DSN)	Automated Multimodal Depression Detection on Social Media and Real-time Conversational Psychotherapy	Applications of AI to Health
181	Paulina Mensah (KNUST Hospital); Phyllis Tawiah (KNUST Hospital); George Boateng (ETH Zurich)	Exploring Gait Speed Prediction among Older Ghanaian Adults using Socio-Demographic and Health Data	Applications of AI to Health
183	Henry Mutegeki (Makerere University )*	Interpretable Machine Learning-Based Triage For Decision Support in Emergency Care	Applications of AI to Health
186	Priscilla Adong (AirQo, Makerere University)*; Deo Okure (AirQo, Makerere University); Noah Nsimbe (AirQo, Makerere University); Joel Ssematimba (AirQo, Makerere University); Richard Sserunjogi (AirQo, Makerere University); Deo Okedi (AirQo, Makerere University); Daniel Ogenrwot (AirQo, Makerere University); Martin Bbaale (AirQo, Makerere University); Engineer Bainomugisha (AirQo, Makerere University	AirQalibrate: A Machine Learning-Based Field Calibration Tool for Low-Cost Air Quality Sensors	Machine Learning
188	Amanuel Mersha ( Addis Ababa Institute Technology )*; Hawi Hunde ( Addis Ababa University ); Fitsum Degfu ( Addis Ababa University )	Towards Layer Explainability In Transformers	Deep Learning
193	Sarah Alexandria Ebiaredoh-Mienye ( University of Johannesburg )*; Ibomoiye Mienye ( Walter Sisulu University )	A Machine Learning Method with Filter-based Feature Selection for Improved Prediction of Chronic Kidney Disease	Applications of AI to Health
196	Abdulkerim Mohammed Yibre (Bahir Dar Institute of Technology/Bahir Dar University)*; Rediet Yimenu Ephrem (Bahir Dar Institute of Technology/Bahir Dar University)	An Explainable Machine Learning Approach for Visual Acuity Classification	Applications of AI to Health
206	Ife Adebara (University of British Columbia)*; Muhammad Abdul-Mageed (iSchool@UBC)	SERENGETI: Massively Multilingual Language Models for Africa	NLP
208	Ife Adebara (University of British Columbia)*; Muhammad Abdul-Mageed (iSchool@UBC)	AfroLID: A Neural Language Identification Tool for African Languages	NLP
210	Irené Tematelewo (Oregon State University)*	Consistency Based Anomaly Detection with Application to Precipitation Sensors Diagnosis	Machine Learning

2023 Workshop Registration

https://airtable.com/app53hoDCmKRQ2BBB/shrVmFeaYU3dSyRrt

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2023 Call For Paper & Important Deadlines

Last updated on Jul 17, 2023

Call For Papers Submissions

We invite submissions for the Seventh Black in AI Workshop (co-located with NeurIPS 2023). Both the Black in AI workshop and the NeurIPS conference will be held in a hybrid format.

We welcome research papers, position papers, survey papers, vision papers, or papers that inform about neglected/abandoned areas of study where AI could be impactful. Papers may introduce new theories, methodology, applications, or product demonstrations. Papers are published in a non-archival format and may have been published in other venues before or be published in other venues in the future.

Areas of Interest

Submissions may include, but are not limited to, the following topics: Artificial Intelligence, Computational Neuroscience, Deep Learning, Knowledge Reasoning, Machine Learning, Multi-agent Systems, Statistical Reasoning, Computational Theory, Computer Vision, Natural Language Processing, Data Mining and, Robotics. We also welcome papers about applications of AI to Health, Education, Fairness, Ethics and, Transparency in AI, AI & Arts, AI & Politics, etc.

Each submission will fall into one of these 4 tracks:

Machine learning Algorithms
Systems and Applications
Position papers
Product demonstrations

Work may be previously published, completed, or ongoing. The workshop will not publish proceedings. We encourage all Black researchers in areas related to AI to submit their work. The work should include at least one Black researcher either as main author or co-author.

Submission Format and Guidelines

All submissions must be in PDF format. Submissions are limited to two content pages, including all figures and tables. An additional page containing only references is allowed. Submissions should be in a single column , typeset using 11-point or larger fonts, and have at least a 1-inch margin all around. Submissions that do not follow these guidelines risk being rejected without consideration of their merits. We encourage authors to use one of these templates to prepare their submission:

Registration

We strongly encourage workshop attendees to register for the workshops as early as possible. The registration can be found here.

Important Dates

Call for paper submission opens on CMT - July 1st 2023
Call for paper submission deadline EXTENDED - August 18th, 2023, 11:59 pm UTC
Notification of Call for paper acceptance - September 12th, 2023

Microsoft Conference Management Toolkit (CMT): HOW-TO: Author Submission

Submit your work using CMT at: https://cmt3.research.microsoft.com/BAI2023

Submission instructions and important deadlines can be also found here

If you have any questions, contact Organizers at organizers2023@blackinai.org and follow @black_in_ai to keep updated.

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2023 Black in AI Workshop

Black in AI Funders