Search Results for author: Farshid Rayhan

Found 5 papers, 1 papers with code

ChoiceNet: CNN learning through choice of multiple feature map representations

no code implementations20 Apr 2019 Farshid Rayhan, Aphrodite Galata, Timothy F. Cootes

We introduce a new architecture called ChoiceNet where each layer of the network is highly connected with skip connections and channelwise concatenations.

Object Recognition Semantic Segmentation

FRnet-DTI: Deep Convolutional Neural Networks with Evolutionary and Structural Features for Drug-Target Interaction

no code implementations19 Jun 2018 Farshid Rayhan, Sajid Ahmed, Zaynab Mousavian, Dewan Md. Farid, Swakkhar Shatabda

In this paper, we present FRnet-DTI, an auto encoder and a convolutional classifier for feature manipulation and drug target interaction prediction.

MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification

no code implementations18 Dec 2017 Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman

The performance of MEBoost has been evaluated on 12 benchmark imbalanced datasets with state of the art ensemble methods like SMOTEBoost, RUSBoost, Easy Ensemble, EUSBoost, DataBoost.

BIG-bench Machine Learning Classification +1

CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification

1 code implementation12 Dec 2017 Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid

We evaluated the performance of CUSBoost algorithm with the state-of-the-art methods based on ensemble learning like AdaBoost, RUSBoost, SMOTEBoost on 13 imbalance binary and multi-class datasets with various imbalance ratios.

Ensemble Learning General Classification +1

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