Merge pull request #22 from blackinai/neurips23

add accepted papers, workshop registration

src/components/CallForPapers/index.js

@@ -116,15 +116,15 @@ function CallForPapers(props) {
                     <ColorButton className={classes.chip} variant="contained" href="/#/workshop/bai2023/">
                         Full Details
                     </ColorButton>
-                    <ColorButton className={classes.chip} variant="contained" href="/#/workshop/bai2023-cfp">
+                    {/* <ColorButton className={classes.chip} variant="contained" href="/#/workshop/bai2023-cfp">
                         Call for Papers
-                    </ColorButton>
-                    {/* <ColorButton className={classes.chip} variant="contained" href="https://nbviewer.org/github/blackinai/blackinai.github.io/blob/4a3923311e72ea0613a1fcfd7472d98782787ff9/bai/src/files/BlackinAI22AcceptedPapers.pdf">
-                        BAI 2022 Accepted Papers
-                    </ColorButton> */}
-                    {/* <ColorButton className={classes.chip} variant="contained" href="https://nbviewer.org/github/blackinai/blackinai.github.io/blob/main/bai/src/files/BAI2022WorkshopSchedule.pdf">
-                        Workshop Program
                     </ColorButton> */}
+                    <ColorButton className={classes.chip} variant="contained" href="/#/workshop/bai2023-accepted-papers">
+                        BAI 2023 Accepted Papers
+                    </ColorButton>
+                    <ColorButton className={classes.chip} variant="contained" href="https://airtable.com/app53hoDCmKRQ2BBB/shrVmFeaYU3dSyRrt">
+                        Workshop Registration
+                    </ColorButton>
                     {/* 
                     <ColorButton className={classes.chip} variant="contained" href="https://nbviewer.org/github/blackinai/blackinai.github.io/blob/main/bai/src/files/BAI2021AcceptedPapersJointPostersSession.pdf">
                         Accepted Papers Black in AI 2021

src/index.js

@@ -21,6 +21,7 @@ import BAI2022 from './pages/BaiWorkshops/BAI2022';
 import BAI2022CFP from './pages/BaiWorkshops/BAI2022/CallForPapers';
 import BAI2023 from './pages/BaiWorkshops/BAI2023';
 import BAI2023CFP from './pages/BaiWorkshops/BAI2023/CallForPapers';
+import BAI2023AccPapers from './pages/BaiWorkshops/BAI2023/AcceptedPapers';
 // import FinancialSupport from './pages/FinancialSupport';
 import EntrepreneurshipProgram from './pages/EntrepreneurshipProgram';
 import SummerResearchPrograms from './pages/SummerResearchPrograms';
@@ -66,6 +67,7 @@ ReactDOM.render(
             <Route path="/workshop/bai2022-cfp" component={BAI2022CFP} />
             <Route path="/workshop/bai2023" component={BAI2023} />
             <Route path="/workshop/bai2023-cfp" component={BAI2023CFP} />
+            <Route path="/workshop/bai2023-accepted-papers" component={BAI2023AccPapers} />
             <Route path="/media" component={Media.PressRoom} />
             <Route path="/bai-open-position-2022" component={Media.BAIOpenPosition} />
         </Switch>

src/pages/BaiWorkshops/BAI2023/AcceptedPapers.js

@@ -0,0 +1,27 @@
+import React from 'react';
+import Footer from '../../../components/Footer';
+import Navbar from '../../../components/Navbar';
+import { ThemeProvider } from '@material-ui/core';
+import theme from '../../../theme';
+import withRoot from '../../../withRoot';
+import AcceptedPapers2023 from './../../../posts/bai2023/AcceptedPapers2023.md';
+import ContentFile from '../../../components/Markdown/readfile';
+import WorkshopPageHeader from '../../../components/WorkshopPageHeader';
+import image from './../../../assets/img/general/header-bai-2023.png';
+import Loader from '../../../loader';
+
+function AcceptedPapers() {
+    return (
+        <ThemeProvider theme={theme}>
+            <Loader />
+            <Navbar />
+            <WorkshopPageHeader src={image}/>
+            <ContentFile href={AcceptedPapers2023}>
+                Black in AI 2023 - Accepted Papers
+            </ContentFile>
+            <Footer />
+        </ThemeProvider>
+    );
+}
+
+export default withRoot(AcceptedPapers);

src/pages/BaiWorkshops/BAI2023/GridOfContents.js

@@ -73,8 +73,8 @@ function GridOfContents(props) {
             url: '/#/workshop/bai2023-cfp',
         },
         {
-            title: 'Call For Reviewer/Area Chair SOON',
-            width: '33.3%',
+            // title: 'Call For Reviewer/Area Chair SOON',
+            // width: '33.3%',
             // url: 'https://forms.gle/q1v4kqknELEXLLpr8',
         },
         {
@@ -83,15 +83,15 @@ function GridOfContents(props) {
             // url: 'https://forms.gle/4CXkLZk89e1JvTZ66',
         },
         {
-            title: 'Workshop Registration (Hybrid format) SOON',
+            title: 'Workshop Registration',
             width: '33.3%',
-            // url: 'https://forms.gle/SHdt1Bpy5aBbwpBW9',
+            url: 'https://airtable.com/app53hoDCmKRQ2BBB/shrVmFeaYU3dSyRrt',
+        },
+        {
+            title: 'Accepted Papers',
+            width: '33.3%',
+            url: '/#/workshop/bai2023-accepted-papers',
         },
-        // {
-        //     title: 'Accepted Papers',
-        //     width: '33.3%',
-        //     url: 'https://nbviewer.org/github/blackinai/blackinai.github.io/blob/4a3923311e72ea0613a1fcfd7472d98782787ff9/bai/src/files/BlackinAI22AcceptedPapers.pdf',
-        // },
         // {
         //     title: 'Accepted Papers',
         //     width: '33.3%',

src/posts/bai2023/AcceptedPapers2023.md

@@ -0,0 +1,68 @@
+|  | 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 |