Alert button
Picture for Bonaventure F. P. Dossou

Bonaventure F. P. Dossou

Alert button

Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage

Mar 19, 2023
Bonaventure F. P. Dossou, Yenoukoume S. K. Gbenou, Miglanche Ghomsi Nono

Figure 1 for Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage
Figure 2 for Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage
Figure 3 for Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage
Figure 4 for Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage
Viaarxiv icon

AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages

Nov 07, 2022
Bonaventure F. P. Dossou, Atnafu Lambebo Tonja, Oreen Yousuf, Salomey Osei, Abigail Oppong, Iyanuoluwa Shode, Oluwabusayo Olufunke Awoyomi, Chris Chinenye Emezue

Figure 1 for AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages
Figure 2 for AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages
Figure 3 for AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages
Figure 4 for AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages
Viaarxiv icon

Graph-Based Active Machine Learning Method for Diverse and Novel Antimicrobial Peptides Generation and Selection

Sep 18, 2022
Bonaventure F. P. Dossou, Dianbo Liu, Xu Ji, Moksh Jain, Almer M. van der Sloot, Roger Palou, Michael Tyers, Yoshua Bengio

Figure 1 for Graph-Based Active Machine Learning Method for Diverse and Novel Antimicrobial Peptides Generation and Selection
Figure 2 for Graph-Based Active Machine Learning Method for Diverse and Novel Antimicrobial Peptides Generation and Selection
Figure 3 for Graph-Based Active Machine Learning Method for Diverse and Novel Antimicrobial Peptides Generation and Selection
Figure 4 for Graph-Based Active Machine Learning Method for Diverse and Novel Antimicrobial Peptides Generation and Selection
Viaarxiv icon

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation

May 04, 2022
David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Chinenye Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Muhammad Umair Nasir, Benjamin Ayoade Ajibade, Tunde Oluwaseyi Ajayi, Yvonne Wambui Gitau, Jade Abbott, Mohamed Ahmed, Millicent Ochieng, Anuoluwapo Aremu, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Koffi Kalipe, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, Happy Buzaaba, Blessing Sibanda, Andiswa Bukula, Sam Manthalu

Figure 1 for A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
Figure 2 for A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
Figure 3 for A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
Figure 4 for A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
Viaarxiv icon

MMTAfrica: Multilingual Machine Translation for African Languages

Apr 08, 2022
Chris C. Emezue, Bonaventure F. P. Dossou

Figure 1 for MMTAfrica: Multilingual Machine Translation for African Languages
Figure 2 for MMTAfrica: Multilingual Machine Translation for African Languages
Figure 3 for MMTAfrica: Multilingual Machine Translation for African Languages
Figure 4 for MMTAfrica: Multilingual Machine Translation for African Languages
Viaarxiv icon

Biological Sequence Design with GFlowNets

Mar 02, 2022
Moksh Jain, Emmanuel Bengio, Alex-Hernandez Garcia, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ekbote, Jie Fu, Tianyu Zhang, Micheal Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio

Figure 1 for Biological Sequence Design with GFlowNets
Figure 2 for Biological Sequence Design with GFlowNets
Figure 3 for Biological Sequence Design with GFlowNets
Figure 4 for Biological Sequence Design with GFlowNets
Viaarxiv icon

FSER: Deep Convolutional Neural Networks for Speech Emotion Recognition

Sep 15, 2021
Bonaventure F. P. Dossou, Yeno K. S. Gbenou

Figure 1 for FSER: Deep Convolutional Neural Networks for Speech Emotion Recognition
Figure 2 for FSER: Deep Convolutional Neural Networks for Speech Emotion Recognition
Figure 3 for FSER: Deep Convolutional Neural Networks for Speech Emotion Recognition
Figure 4 for FSER: Deep Convolutional Neural Networks for Speech Emotion Recognition
Viaarxiv icon

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

Mar 22, 2021
Isaac Caswell, Julia Kreutzer, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Javier Ortiz Suárez, Iroro Orife, Kelechi Ogueji, Rubungo Andre Niyongabo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Ballı, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi

Figure 1 for Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Figure 2 for Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Figure 3 for Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Figure 4 for Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Viaarxiv icon

MasakhaNER: Named Entity Recognition for African Languages

Mar 22, 2021
David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, Daniel D'souza, Julia Kreutzer, Constantine Lignos, Chester Palen-Michel, Happy Buzaaba, Shruti Rijhwani, Sebastian Ruder, Stephen Mayhew, Israel Abebe Azime, Shamsuddeen Muhammad, Chris Chinenye Emezue, Joyce Nakatumba-Nabende, Perez Ogayo, Anuoluwapo Aremu, Catherine Gitau, Derguene Mbaye, Jesujoba Alabi, Seid Muhie Yimam, Tajuddeen Gwadabe, Ignatius Ezeani, Rubungo Andre Niyongabo, Jonathan Mukiibi, Verrah Otiende, Iroro Orife, Davis David, Samba Ngom, Tosin Adewumi, Paul Rayson, Mofetoluwa Adeyemi, Gerald Muriuki, Emmanuel Anebi, Chiamaka Chukwuneke, Nkiruka Odu, Eric Peter Wairagala, Samuel Oyerinde, Clemencia Siro, Tobius Saul Bateesa, Temilola Oloyede, Yvonne Wambui, Victor Akinode, Deborah Nabagereka, Maurice Katusiime, Ayodele Awokoya, Mouhamadane MBOUP, Dibora Gebreyohannes, Henok Tilaye, Kelechi Nwaike, Degaga Wolde, Abdoulaye Faye, Blessing Sibanda, Orevaoghene Ahia, Bonaventure F. P. Dossou, Kelechi Ogueji, Thierno Ibrahima DIOP, Abdoulaye Diallo, Adewale Akinfaderin, Tendai Marengereke, Salomey Osei

Figure 1 for MasakhaNER: Named Entity Recognition for African Languages
Figure 2 for MasakhaNER: Named Entity Recognition for African Languages
Figure 3 for MasakhaNER: Named Entity Recognition for African Languages
Figure 4 for MasakhaNER: Named Entity Recognition for African Languages
Viaarxiv icon

AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin

Mar 18, 2021
Bonaventure F. P. Dossou, Mohammed Sabry

Figure 1 for AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin
Figure 2 for AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin
Figure 3 for AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin
Figure 4 for AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin
Viaarxiv icon