activity
20172024
most citedConvolutional Neural Network Ensemble Learning for Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment

67 citations · 70 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2024★ 67 cited

Convolutional Neural Network Ensemble Learning for Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment

Chollette C. Olisah, Ben Trewhella, Bo Li +5

Fruit ripeness estimation models have for decades depended on spectral index features or colour-based features, such as mean, standard deviation, skewness, colour moments, and/or h…

cs.CV2024

Consensus-Threshold Criterion for Offline Signature Verification using Convolutional Neural Network Learned Representations

Paul Brimoh, Chollette C. Olisah

A genuine signer's signature is naturally unstable even at short time-intervals whereas, expert forgers always try to perfectly mimic a genuine signer's signature. This presents a…

eess.IV2024★ 1 cited

SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation

Chollette C. Olisah, Sofie V. Cauter

Despite the advancement in computational modeling towards brain tumor segmentation, of which several models have been developed, it is evident from the computational complexity of…

eess.IV2024

SNeurodCNN: Structure-focused Neurodegeneration Convolutional Neural Network for Modelling and Classification of Alzheimer's Disease

Simisola Odimayo, Chollette C. Olisah, Khadija Mohammed

Alzheimer's disease (AD), the predominant form of dementia, is a growing global challenge, emphasizing the urgent need for accurate and early diagnosis. Current clinical diagnoses…

cs.LG2024★ 1 cited

Corn Yield Prediction Model with Deep Neural Networks for Smallholder Farmer Decision Support System

Chollette C. Olisah, Lyndon Smith, Melvyn Smith +2

Crop yield prediction has been modeled on the assumption that there is no interaction between weather and soil variables. However, this paper argues that an interaction exists, and…

cs.CV2019

Understanding Unconventional Preprocessors in Deep Convolutional Neural Networks for Face Identification

Chollette C. Olisah, Lyndon Smith

Deep networks have achieved huge successes in application domains like object and face recognition. The performance gain is attributed to different facets of the network architectu…

cs.CV2017★ 1 cited

Expressing Facial Structure and Appearance Information in Frequency Domain for Face Recognition

Chollette C. Olisah, Solomon Nunoo, Peter Ofedebe +1

Beneath the uncertain primitive visual features of face images are the primitive intrinsic structural patterns (PISP) essential for characterizing a sample face discriminative attr…