Folasade O. Isinkaye

Folasade O. Isinkaye
Ekiti State University, Ado Ekiti | EKITI · Computer Science

PhD.

About

30
Publications
96,764
Reads
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808
Citations
Introduction
Folasade Isinkaye currently works at the Department of Computer Science, Ekiti State University, Ado Ekiti (EKSU ). Folasade does research in Recommender systems, Data Mining and Machine learning . Her current project is 'A Scalable Intelligent Solution to Big Data problem in Recommender Systems'.
Education
January 2013 - June 2019
University of Ibadan
Field of study
  • Intelligent Systems

Publications

Publications (30)
Article
Full-text available
A Chabot is a conversational intelligent agent that has the capability of engaging in human-like interaction with its users. A lot of chatbots have been developed, but to the best of our knowledge, there are few or no chatbots that have been developed for hostel location integrated with a recommendation component to ease the cost, time, and stress...
Article
Apparently, most students in Nigeria are facing challenges as regards to the lack of portability, stress, time wastage and inadequate resources in terms of accessing the school libraries, as well as the inefficiency of the existing e-library, leading to the reduction in the number of students that do access the libraries. Research has shown that mo...
Article
Plant diseases cause major crop production losses worldwide, and a lot of significant research effort has been directed toward making plant disease identification and treatment procedures more effective. It would be of great benefit to farmers to be able to utilize the current technology in order to leverage the challenges facing agricultural produ...
Article
Full-text available
The generic Question Answering (QA) framework processes questions by querying a knowledge base and extracting answers from retrieved passages using various Natural Language Processing techniques. The problem is validating whether the retrieved passages from the passage retrieval module contain expected answers to asked questions. Besides, extractio...
Article
Traditional Collaborative filtering (CF) is one of the techniques of recommender systems that has been successfully exploited in various applications, but sometimes they fail to provide accurate recommendations because they depend majorly on the rating matrix, which is always scanty and of very high dimension. Matrix factorization (MF) algorithms a...
Article
Full-text available
Accurate medical image processing plays a crucial role in several clinical diagnoses by assisting physicians in timely treatment of wounds and mishaps. Medical doctors in the hospitals generally rely on examining bone x-ray images based on their expertise, knowledge and past experiences in determining whether a fracture exist in bone or not. Nevert...
Article
Full-text available
The advent of the internet made it possible to have access to unlimited e-learning resources for knowledge acquisition. Presently, there is an interest to introduce Knowledge Management (KM) into e-Learning with the hope that KM can facilitate an improved e-Learning system. The integration of an e-Learning system with KM is usually referred to as k...
Article
Full-text available
The workforce is the bedrock of growth, development, and expansion in any establishment. Therefore, there is need to ensure fairness in monitoring staff attendance and creating a workforce that is dedicated and committed in higher Institutions of learning. Although the integration and use of biometric technology are getting simpler, quite a few ins...
Article
Recommender system is a type of information filtering system that is designed to curtail the difficulties of information overload by automatically suggesting relevant items to users tailored to their preferences. Bayesian personalised smart linear methods (BPRSLIM) is a variant of item-based collaborative filtering technique used in information fil...
Article
Full-text available
Biometrics usage is growing daily and fingerprint-based recognition system is among the most effective and popular methods of personality identification. The conventional fingerprint sensor functions on total internal reflectance (TIR), which is a method that captures the external features of the finger that is presented to it. Hence, this opens it...
Article
Full-text available
Over time, examination malpractice in form of students indulging in impersonation has been a serious setback to academic growth in several Educational institutions. Conventional methods of keeping student's attendance records has proved inefficient as there are so many cases of data loss and mismanagement. Several systems developed to solve this pr...
Chapter
Mobile technologies have increasingly become pervasive in everyday life over the past few decades. As a result of their affordability and wide availability, mobile devices have become commonly used by several people. Efforts are being made by researchers and institutions to provide infrastructure, content, and resources related to the integration o...
Article
Full-text available
The essence of evaluating employees’ performance in any tertiary institution is to realize the goals of the institution by measuring the contribution of each employee. Effective human resource evaluation is paramount to the development of any organization. An automated method is needed to remove the limitations and facilitate the duties of human re...
Conference Paper
Full-text available
Over the past two decades, women in Nigeria have made great strides in education and entry into the work force. However, despite these advances, women have continued to be underrepresented in the fields of science, technology, engineering, and math, collectively known as STEM. Nigeria needs to improve the quality and access to STEM education and cr...
Conference Paper
The dramatic progress of studies in human action recognition has being attributed to challenges inherent with conventional methods such as bag-of-words based description. As a result, researchers in the field of computer vision are still making efforts towards achieving structured interpretation of complex activities between multiple objects. This...
Article
Full-text available
Context-aware recommender system (CARS) is a promising technique for recommending research resources to users (researchers) by predicting their preferences (resources) under different situations. If the contextual information given to such a system is inappropriate, it will certainly have a negative effect on the nature of recommendation output gen...
Article
Full-text available
In our present environment, heart diseases are very rampart and they describe the various types of diseases that affect the heart. They account for the leading cause of death word-wide especially, in Africa. It is therefore very important for individuals to have adequate knowledge about their heart health in order to avoid the risk of decreased lif...
Article
Full-text available
Over the years, human endeavors had experienced series of growth and development attributed to information technology. The Nigeria technological education can further be advanced by engaging this information technology in monitoring the final year student project. It is a common phenomenon in higher institutions of learning that final year student’...
Article
Full-text available
Most developing countries like Nigeria are facing health care challenges caused by inadequate medical personnel, shortage of modern medical equipment and the dearth of modern hospitals in the rural, leading to high mortality rate especially in these rural areas. Statistics have revealed the high number of smartphones in different parts of Nigeria....
Chapter
This study is designed to discover the key factors for the under-representation and lack of career progression or otherwise of women in the ICT field, specifically in South Western Nigeria. Questionnaires were adminis- tered to women (i.e., students, lecturers and other staff) studying or working in selected higher institutions. The results show th...
Chapter
Full-text available
Mobile technologies have increasingly become pervasive in everyday life over the past few decades. As a result of their affordability and wide availability, mobile devices have become commonly used by several people. Efforts are being made by researchers and institutions to provide infrastructure, content, and resources related to the integration o...
Article
Full-text available
Nigeria was listed as a part of terrorist states by United States of America as a result of Islamic group (Boko Haram Sect) attacks and other activities in the nation. It has also been discovered that the group employs “steganographic” schemes as a secure means for transmitting their hidden information to each other via Internet and social networks...
Article
Full-text available
E-learning is an innovative approach for delivering electronically mediated, well-designed, learner-centred interactive learning environments by utilizing internet and digital technologies with respect to instructional design principles. This paper presents the application of Software Development techniques in the development of a Mobile Based E-le...
Article
Full-text available
On the Internet, where the number of choices is overwhelming, there is need to filter, prioritize and efficiently deliver relevant information in order to alleviate the problem of information overload, which has created a potential problem to many Internet users. Recommender systems solve this problem by searching through large volume of dynamicall...
Article
Full-text available
This study is designed to discover the key factors for the under-representation and lack of career progression or otherwise of women in the ICT field, specifically in South Western Nigeria. Questionnaires were administered to women (i.e., students, lecturers and other staff) studying or working in selected higher institutions. The results show that...
Article
Full-text available
The protection and enforcement of intellectual property rights for digital media has become an important issue in many countries of the world. There is increase in the popularity and accessibility of the Internet to record, edit, replicate and broadcast multimedia content which has necessitated a high demand to protect digital information against i...
Article
Full-text available
Our aim was to measure the level of metadata integrity emanating from textual documents in order to ascertain whether the data contained in the original document remained an accurate reflection of the metadata that emanated from the original document. The results of the study revealed that respondents have a better understanding of the content of t...
Article
Full-text available
Abstract The development of mobile phone networks, video and internet technologies have created enormous pressure on the telecommunication industry. They generate and store very huge amount of data which need intelligent tools to analyze. Data mining techniques are powerful mechanisms that have different features and abilities suitable for analyzin...

Questions

Questions (22)
Question
I need an explanation or materials on this:
How is O(n) considered extremely big or inefficient for collaborative filtering when the datasets is extremely huge?
Question
I want to import an image dataset into google colab or jupyter notebook for me to train it using tensorflow and keras (ml). I am having difficulty in importing the dataset into the colab and assigning it to variables in such a way that it would be easy for me to reference it for training. I have split the dataset into two partitions, one for the training and the other one for the testing. The training folder has sub-directories with labels for each person, also the testing folder has it's sub-directory with labels. I split it 80/20.
Question
/// <summary> /// Encodes a single paragraph to HTML. /// </summary> /// <param name="s">Text to encode</param> /// <param name="sb">StringBuilder to write results</param> /// <param name="nofollow">If true, links are given "nofollow" /// attribute</param>
Question
What is the full meaning of this accuracy metric used for measuring estimated ranking in recommender systems?
Question
Can anyone be of help to me on how to obtain the mathematical equation for the Regularized Optimization problem in the PDF file below using Stochastic gradient Descent with bootstrap sampling for recommender system? That is, as used in Bayesian Personalized Ranking Smart Linear Method (BPRSLIM).
Thank you all!
Question
Please, I want explanations on the use of of this novelty metric for recommender system proposed by S.Vargas (2011) - Expected Popularity Complement (EPC). materials that could help will be highly appreciated.
Thanks

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Projects

Projects (5)
Project
This particular project aims to identify the lapses in health and health care(especially in Developing Countries) and develop software applications(creating/developing database, mobile/desktop applications, software solutions) for improving health conditions.