Dilip Singh Sisodia

national institute of technology (nit system)

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发表时间

Deep neural network-based multi-stakeholder recommendation system exploiting multi-criteria ratings for preference learning 基于深度神经网络的多利益相关者推荐系统，利用多标准评分进行偏好学习

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2023-03-01

PREAI

Shrivastava, Rahul; Sisodia, Dilip Singh; Nagwani, Naresh Kumar

Functional characterization of unknown protein sequences using Neuro-Fuzzy based machine learning approach and sequence augmented feature 使用基于神经模糊的机器学习方法和序列增强特征对未知蛋白质序列进行功能表征

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2022-11-01

PREAI

Agrawal, Saurabh; Sisodia, Dilip Singh; Nagwani, Naresh Kumar

Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners 使用基于fbse-ewt的EEG子带信号的相空间表示和集成学习器对癫痫发作进行分类

BIOMEDICAL SIGNAL PROCESSING AND CONTROL

IF4.9

2022-01-01

PREAI

Anuragi, Arti; Sisodia, Dilip Singh; Pachori, Ram Bilas

Pair-wise Preference Relation based Probabilistic Matrix Factorization for Collaborative Filtering in Recommender System

KNOWLEDGE-BASED SYSTEMS

IF7.6

2020-05-01

PREAI

Pujahari, Abinash; Sisodia, Dilip Singh

Multiobjective evolutionary-based multi-kernel learner for realizing transfer learning in the prediction of HIV-1 protease cleavage sites

SOFT COMPUTING

IF2.5

2019-11-05

PREAI

Singh, Deepak; Sisodia, Dilip Singh; Singh, Pradeep

Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction

ARTIFICIAL INTELLIGENCE IN MEDICINE

IF6.2

2019-11-01

PREAI

Singh, Deepak; Singh, Pradeep; Sisodia, Dilip Singh

Evolutionary based ensemble framework for realizing transfer learning in HIV-1 Protease cleavage sites prediction

APPLIED INTELLIGENCE

IF3.5

2018-11-03

PREAI

Singh, Deepak; Singh, Pradeep; Sisodia, Dilip Singh

Evolutionary based optimal ensemble classifiers for HIV-1 protease cleavage sites prediction

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2018-11-01

PREAI

Singh, Deepak; Singh, Pradeep; Sisodia, Dilip Singh

研究方向