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11/25/2022
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images
Accurate segmentation of the region of interest in medical images can pr...
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11/07/2022
DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages
Spelling error correction is the task of identifying and rectifying miss...
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12/10/2021
An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition
In this paper, we propose an ensemble of deep neural networks along with...
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04/09/2021
Text2Chart: A Multi-Staged Chart Generator from Natural Language Text
Generation of scientific visualization from analytical natural language ...
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07/20/2020
i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome
Motivation: DNA N6-methylation (6mA) in Adenine nucleotide is a post rep...
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12/21/2019
iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying and Classifying Sigma Promoters
Promoter is a short region of DNA which is responsible for initiating tr...
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07/12/2019
Find It: A Novel Way to Learn Through Play
Autism Spectrum Disorder (ASD) is the area where many researches endurin...
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11/20/2018
A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model
Deep Learning algorithms are often used as black box type learning and t...
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06/19/2018
FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction
The task of drug-target interaction prediction holds significant importa...
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12/18/2017
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification
Class imbalance problem has been a challenging research problem in the f...
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12/12/2017
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification
Class imbalance classification is a challenging research problem in data...
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11/15/2017
LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification
The problem of class imbalance along with class-overlapping has become a...
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07/04/2017
iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting
Prediction of new drug-target interactions is extremely important as it ...
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10/04/2016
A novel and effective scoring scheme for structure classification and pairwise similarity measurement
Protein tertiary structure defines its functions, classification and bin...
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12/18/2014
Stochastic Local Search for Pattern Set Mining
Local search methods can quickly find good quality solutions in cases wh...
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12/18/2014
GraATP: A Graph Theoretic Approach for Automated Theorem Proving in Plane Geometry
Automated Theorem Proving (ATP) is an established branch of Artificial I...
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11/17/2014
FGPGA: An Efficient Genetic Approach for Producing Feasible Graph Partitions
Graph partitioning, a well studied problem of parallel computing has man...
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09/02/2014
