Habeebah A. Kakudi

According to our database, Habeebah A. Kakudi authored at least 9 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language.

Shantipriya Parida, Idris Abdulmumin, Shamsuddeen Hassan Muhammad, Aneesh Bose, Guneet Singh Kohli, Ibrahim Said Ahmad, Ketan Kotwal, Sayan Deb Sarkar, Ondrej Bojar, Habeebah A. Kakudi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Lightweight CNN-Based Pothole Detection Model for Embedded Systems Using Knowledge Distillation.

Aminu Musa, Mohammed Hassan, Mohamed Hamada, Habeebah Adamu Kakudi, Md. Faizul Ibne Amin, Yutaka Watanobe

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2022

2021

Evaluation of Recursive Feature Elimination and LASSO Regularization-based optimized feature selection approaches for cervical cancer prediction.

Mohamed Hamada, Jesse Jeremiah Tanimu, Mohammed Hassan, Habeebah Adamu Kakudi, Patience Robert

Proceedings of the 14th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2021

2020

Research paper recommender system based on public contextual metadata.

Khalid Haruna, Maizatul Akmar Ismail, Atika Qazi, Habeebah Adamu Kakudi, Mohammed Hassan, Sanah Abdullahi Muaz, Haruna Chiroma

Scientometrics, 2020

2019

Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP.

Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy, Naoki Masuyama, Kitsuchart Pasupa

IEEE Access, 2019

A Soft Set Approach for Handling Conflict Situation on Movie Selection.

Khalid Haruna, Maizatul Akmar Ismail, Mohammad Suyanto, Lubna Abdel Kareim Gabralla, Abdullahi Baffa Bichi, Sani Danjuma, Habeebah Adamu Kakudi, Muhammad Sani Haruna, Saber Zerdoumi, Jemal H. Abawajy, Tutut Herawan

IEEE Access, 2019

2017

Risk Quantification of Metabolic Syndrome with Quantum Particle Swarm Optimisation.

Habeebah A. Kakudi, Chu Kiong Loo, Kitsuchart Pasupa

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Predicting metabolic syndrome using risk quantification and ensemble methods.

Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2015

Behavior Pattern Extraction Based on Growing Neural Networks for Informationally Structured Space.

Takenori Obo, Habeebah A. Kakudi, Chu Kiong Loo, Naoyuki Kubota

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015