Ibitoye Adeniyi Francis | Abubakar Tafawa Balewa University, Bauchi (original) (raw)

Papers by Ibitoye Adeniyi Francis

IEEE Transactions on Neural Networks, Jan 1, 2002

The present article provides a survey of the available literature on data mining using soft compu... more The present article provides a survey of the available literature on data mining using soft computing. A categorization has been provided based on the different soft computing tools and their hybridizations used, the data mining function implemented, and the preference criterion selected by the model. The utility of the different soft computing methodologies is highlighted. Generally fuzzy sets are suitable for handling the issues related to understandability of patterns, incomplete/noisy data, mixed media information and human interaction, and can provide approximate solutions faster. Neural networks are nonparametric, robust, and exhibit good learning and generalization capabilities in data-rich environments. Genetic algorithms provide efficient search algorithms to select a model, from mixed media data, based on some preference criterion/objective function. Rough sets are suitable for handling different types of uncertainty in data. Some challenges to data mining and the application of soft computing methodologies are indicated. An extensive bibliography is also included

The relationships between the work products of a security engineering process can be hard to unde... more The relationships between the work products of a security engineering process can be hard to understand, even for persons with a strong technical background but little knowledge of security engineering. Market forces are driving software practitioners who are not security specialists to develop software that requires security features. When these practitioners develop software solutions without appropriate security-specific processes and models, they sometimes fail to produce effective solutions. We have adapted a proven object oriented modeling technique, use cases, to capture and analyze security requirements in a simple way. We call the adaptation an abuse case model. Its relationship to other security engineering work products is relatively simple, from a user perspective

Journal of Consulting and Clinical Psychology, Jan 1, 2003

Psychological Bulletin, Jan 1, 1996

The authors suggest that procedural and distributive factors interactively combine to influence i... more The authors suggest that procedural and distributive factors interactively combine to influence individuals' reactions to their encounters with other people, groups, and organizations. Results from 45 independent samples (reviewed herein) show that (a) level of procedural justice is more positively related to individuals' reactions when outcome fairness or valence is relatively low and (b) level of outcome fairness or valence is more positively related to individuals' reactions when procedural justice is relatively low. They present various explanations of the interaction effect. Theoretical progress may be achieved through future efforts to delineate the conditions under which each of the explanations is more versus less likely to account for the interaction.

American Journal of Community Psychology, Jan 1, 1990

Pathophysiology of Haemostasis and Thrombosis, Jan 1, 2003

Journal of Youth and Adolescence, Jan 1, 1978

The social psychological antecedents of entry into three sequential stages of adolescent drug use... more The social psychological antecedents of entry into three sequential stages of adolescent drug use, hard liquor, marihuana, and other illicit drugs, are examined in a cohort of high school students in which the population at risk for initiation into each stage could be clearly specified. The analyses are based on a two-wave panel sample of New York State public secondary students and subsamples of matched adolescent-parent and adolescent-best schoolfriend dyads. Each of four clusters of predictor variables, parental influences, peer influences, adolescent involvement in various behaviors, and adolescent beliefs and values, and single predictors within each cluster assume differential importance for each stage of drug behavior. Prior involvement in a variety of activities, such as minor delinquency and use of cigarettes, beer, and wine are most important for hard liquor use. Adolescents' beliefs and values favorable to the use of marihuana and association with marihuana-using peers are the strongest predictors of initiation into marihuana. Poor relations with parents, feelings of depression, and exposure to drug-using peers are most important for initiation into illicit drugs other than marihuana.

Journal of Abnormal Child Psychology, Jan 1, 1992

We review 22 neuropsychological studies of frontal lobe functions in children with attention defi... more We review 22 neuropsychological studies of frontal lobe functions in children with attention deficit disorder with and without hyperactivity (ADD/+H,ADD/-H). Some measures presumed to assess frontal lobe dysfunctions were not reliably sensitive to the deficits occurring in either form of ADD. Tests of response inhibition more reliably distinguished ADD/+H from normal children. Where impairments were found on other tests between ADD and normal subjects, they were highly inconsistent across studies and seemed strongly related to age of the subjects and possibly to the version of the test employed. Other methodological differences across studies further contributed to the discrepant reports. The co-morbidity of other disorders, such as learning disabilities (LD) and conduct problems, with ADD may be an additional confounding factor in some, though not all, of these studies. In a separate study, children with ADD/+H (n=12) were then compared on frontal lobe tests to three other groups: ADD/-H (n=12), LD but no ADD (n=11),and normal children (n=12) statistically covarying for differences in conduct problems across groups. Most measures did not distinguish among these groups. Both ADD groups made more omission errors on a Continuous Performance Test (CPT) than the normal group. All three clinical groups performed more poorly on the word and interference portions of the Stroop Test. Thus, while both types of ADD share some apparent similarities in deficits on a few frontal lobe tests in this study, the totality of existing findings suggests an additional problem with perceptual-motor speed and processing in the ADD/-H group.

Journal of Pharmacokinetics and Biopharmaceutics, Jan 1, 1992

One major task in clinical pharmacology is to determine the pharmacokinetic-pharmacodynamic (PK-P... more One major task in clinical pharmacology is to determine the pharmacokinetic-pharmacodynamic (PK-PD) parameters of a drug in a patient population. NONMEM is a program commonly used to build population PK-PD models, that is, models that characterize the relationship between a patient's PK-PD parameters and other patient specific covariates such as the patient's (patho)physiological condition, concomitant drug therapy, etc. This paper extends a previously described approach to efficiently find the relationships between the PK-PD parameters and covariates. In a first step, individual estimates of the PK-PD parameters are obtained as empirical Bayes estimates, based on a prior NONMEM fit using no covariates. In a second step, the individual PK-PD parameter estimates are regressed on the covariates using a generalized additive model. In a third and final step, NONMEM is used to optimize and finalize the population model. Four real-data examples are used to demonstrate the effectiveness of the approach. The examples show that the generalized additive model for the individual parameter estimates is a good initial guess for the NONMEM population model. In all four examples, the approach successfully selects the most important covariates and their functional representation. The great advantage of this approach is speed. The time required to derive a population model is markedly reduced because the number of necessary NONMEM runs is reduced. Furthermore, the approach provides a nice graphical representation of the relationships between the PK-PD parameters and covariates.

Journal of Consulting and Clinical Psychology, Jan 1, 1992

Journal of Personality and Social Psychology, Jan 1, 1988

American Journal of Preventive Medicine, Jan 1, 1998

American Journal of Human Genetics, Jan 1, 2002

Review of General Psychology, Jan 1, 1998

Plos Medicine, Jan 1, 2006

IEEE Transactions on Neural Networks, Jan 1, 2005

Data analysis plays an indispensable role for understanding various phenomena. Cluster analysis, ... more Data analysis plays an indispensable role for understanding various phenomena. Cluster analysis, primitive exploration with little or no prior knowledge, consists of research developed across a wide variety of communities. The diversity, on one hand, equips us with many tools. On the other hand, the profusion of options causes confusion. We survey clustering algorithms for data sets appearing in statistics, computer science, and machine learning, and illustrate their applications in some benchmark data sets, the traveling salesman problem, and bioinformatics, a new field attracting intensive efforts. Several tightly related topics, proximity measure, and cluster validation, are also discussed.