Performance analysis of neuro swarm optimization algorithm applied on detecting proportion of components in manhole gas mixture. - Varun Kumar Ojha; Paramartha Dutta (Artif. Intell. Res., 2012)

Performance Analysis Of Neuro Genetic Algorithm Applied On Detecting Proportion Of Components In Manhole Gas Mixture - Varun Kumar Ojha; Paramartha Dutta; Hiranmay Saha (CoRR, 2012)

Ensemble of adaptive neuro-fuzzy inference system using particle swarm optimization for prediction of crude oil prices. - Lubna Abdel Kareim Gabralla; Talaat M. Wahby; Varun Kumar Ojha; Ajith Abraham (HIS, 2014)

Simultaneous optimization of neural network weights and active nodes using metaheuristics. - Varun Kumar Ojha; Ajith Abraham; Václav Snásel (HIS, 2014)

A Framework of Secured and Bio-Inspired Image Steganography Using Chaotic Encryption with Genetic Algorithm Optimization (CEGAO). - Debiprasad Bandyopadhyay; Kousik Dasgupta; J. K. Mandal 001; Paramartha Dutta; Varun Kumar Ojha; Václav Snásel (IBICA, 2014)

Design and Implementation of an Improved Datacenter Broker Policy to Improve the QoS of a Cloud. - Tamojit Chatterjee; Varun Kumar Ojha; Mainak Adhikari; Sourav Banerjee; Utpal Biswas; Václav Snásel (IBICA, 2014)

Dimensionality Reduction and Prediction of the Protein Macromolecule Dissolution Profile. - Varun Kumar Ojha; Konrad Jackowski; Václav Snásel; Ajith Abraham (IBICA, 2014)

ACO for continuous function optimization: A performance analysis. - Varun Kumar Ojha; Ajith Abraham; Václav Snásel (ISDA, 2014)

Feature selection and ensemble of regression models for predicting the protein macromolecule dissolution profile. - Varun Kumar Ojha; Konrad Jackowski; Ajith Abraham; Václav Snásel (NaBIC, 2014)

Neuro-Fuzzy Risk Prediction Model for Computational Grids. - Sara Abdelwahab; Varun Kumar Ojha; Ajith Abraham (AECIA, 2015)

Ensemble of Heterogeneous Flexible Neural Tree for the Approximation and Feature-Selection of Poly (Lactic-co-glycolic Acid) Micro- and Nanoparticle. - Varun Kumar Ojha; Ajith Abraham; Václav Snásel (AECIA, 2015)

Ensemble of Flexible Neural Trees for Predicting Risk in Grid Computing Environment. - Sara Abdelwahab; Varun Kumar Ojha; Ajith Abraham (IBICA, 2015)

An Ensemble of Neuro-Fuzzy Model for Assessing Risk in Cloud Computing Environment. - Nada Ahmed; Varun Kumar Ojha; Ajith Abraham (NaBIC, 2015)

Understating continuous ant colony optimization for neural network training: A case study on intelligent sensing of manhole gas components. - Varun Kumar Ojha; Paramartha Dutta; Atal Chaudhuri; Hiranmay Saha (Int. J. Hybrid Intell. Syst., 2015)

A multi-agent concurrent neurosimulated annealing algorithm: A case study on intelligent sensing of manhole gases. - Varun Kumar Ojha; Paramartha Dutta; Atal Chaudhuri; Hiranmay Saha (Int. J. Hybrid Intell. Syst., 2015)

Temporal Learning Using Echo State Network for Human Activity Recognition. - Sebastián Basterrech; Varun Kumar Ojha (ENIC, 2016)

Metaheuristic tuning of type-II fuzzy inference systems for data mining. - Varun Kumar Ojha; Ajith Abraham; Václav Snásel (FUZZ-IEEE, 2016)

A substitution of the general partial differential equation with extended polynomial networks. - Ladislav Zjavka; Václav Snásel; Varun Kumar Ojha; Witold Pedrycz (IJCNN, 2016)

Neural Tree for Estimating the Uniaxial Compressive Strength of Rock Materials. - Varun Kumar Ojha; Deepak Amban Mishra (HIS, 2017)

Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming. - Varun Kumar Ojha; Ajith Abraham; Václav Snásel (Appl. Soft Comput., 2017)

Convergence Analysis of Backpropagation Algorithm for Designing an Intelligent System for Sensing Manhole Gases. - Varun Kumar Ojha; Paramartha Dutta; Atal Chaudhuri; Hiranmay Saha (CoRR, 2017)

Metaheuristic design of feedforward neural networks: A review of two decades of research. - Varun Kumar Ojha; Ajith Abraham; Václav Snásel (Eng. Appl. Artif. Intell., 2017)

Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study. - Varun Kumar Ojha; Paramartha Dutta; Atal Chaudhuri (Neural Comput. Appl., 2017)

Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree. - Varun Kumar Ojha; Serena Schiano; Chuan-Yu Wu; Václav Snásel; Ajith Abraham (Neural Comput. Appl., 2018)

Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees. - Varun Kumar Ojha; Václav Snásel; Ajith Abraham (IEEE Trans. Fuzzy Syst., 2018)

Heuristic design of fuzzy inference systems: A review of three decades of research. - Varun Ojha 001; Ajith Abraham; Václav Snásel (Eng. Appl. Artif. Intell., 2019)

Examining Trade-Offs between Social, Psychological, and Energy Potential of Urban Form. - Martin Bielik; Sven Schneider 004; Saskia F. Kuliga; Danielle Griego; Varun Ojha 001; Reinhard König; Gerhard Schmitt; Dirk Donath (ISPRS Int. J. Geo Inf., 2019)

Machine learning approaches to understand the influence of urban environments on human's physiological response. - Varun Kumar Ojha; Danielle Griego; Saskia F. Kuliga; Martin Bielik; Peter Bus; Charlotte Schaeben; Lukas Treyer; Matthias Standfest; Sven Schneider 004; Reinhard König; Dirk Donath; Gerhard Schmitt (Inf. Sci., 2019)

Multi-Objective Optimisation of Multi-Output Neural Trees. - Varun Ojha 001; Giuseppe Nicosia (CEC, 2020)

Automated Water Segmentation and River Level Detection on Camera Images Using Transfer Learning. - Rémy Vandaele; Sarah L. Dance; Varun Ojha 001 (GCPR, 2020)

Accent and Gender Recognition from English Language Speech and Audio Using Signal Processing and Deep Learning. - Jagjeevan Singh Shergill; Chandresh Pravin; Varun Ojha 001 (HIS, 2020)

A Novel ECG Signal Denoising Filter Selection Algorithm Based on Conventional Neural Networks. - Chandresh Pravin; Varun Ojha 001 (ICMLA, 2020)

Transfer Learning for Instance Segmentation of Waste Bottles Using Mask R-CNN Algorithm. - Punitha Jaikumar; Remy Vandaele; Varun Ojha 001 (ISDA, 2020)

Classification of Musical Preference in Generation Z Through EEG Signal Processing and Machine Learning. - Billy Ward; Chandresh Pravin; Alec Chetcuti; Yoshikatsu Hayashi; Varun Ojha 001 (ISDA, 2020)

Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. - Chandresh Pravin; Ivan Martino; Giuseppe Nicosia; Varun Ojha 001 (ICANN (1), 2021)

Sensitivity Analysis for Deep Learning: Ranking Hyper-parameter Influence. - Rhian Taylor; Varun Ojha 001; Ivan Martino; Giuseppe Nicosia (ICTAI, 2021)

CSS-A Cheap-Surrogate-Based Selection Operator for Multi-objective Optimization. - Lingping Kong 001; Abhishek Kumar 010; Václav Snásel; Swagatam Das; Pavel Krömer; Varun Ojha 001 (BIOMA, 2022)

Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models. - Matteo N. Amaradio; Giorgio Jansen; Varun Ojha 001; Jole Costanza; Giuseppe Di Fatta; Giuseppe Nicosia (LOD (1), 2022)

Backpropagation Neural Tree. - Varun Ojha 001; Giuseppe Nicosia (Neural Networks, 2022)

Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies. - Varun Ojha 001; Jon Timmis; Giuseppe Nicosia (Swarm Evol. Comput., 2022)

UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation. - Thanet Markchom; Huizhi Liang; Joyce Gitau; Zehao Liu; Varun Ojha 001; Lee Taylor; Jake Bonnici; Abdullah Alshadadi (SemEval@ACL, 2023)

Adaptive search space decomposition method for pre- and post-buckling analyses of space truss structures. - Varun Ojha 001; Bartolomeo Pantò; Giuseppe Nicosia (Eng. Appl. Artif. Intell., 2023)

Low-rank and global-representation-key-based attention for graph transformer. - Lingping Kong 001; Varun Ojha 001; Ruobin Gao; Ponnuthurai Nagaratnam Suganthan; Václav Snásel (Inf. Sci., 2023)

Automated trash screen blockage segmentation using deep learning. - Remy Vandaele; Sarah L. Dance; Hywel T. P. Williams; Varun Ojha 001 (BMVC Workshops, 2024)

Security Assessment of Hierarchical Federated Deep Learning. - Duaa S. Alqattan; Rui Sun; Huizhi Liang; Guiseppe Nicosia; Václav Snásel; Rajiv Ranjan 001; Varun Ojha 001 (ICANN (6), 2024)

On Learnable Parameters of Optimal and Suboptimal Deep Learning Models. - Ziwei Zheng; Huizhi Liang; Václav Snásel; Vito Latora; Panos M. Pardalos; Guiseppe Nicosia; Varun Ojha 001 (ICONIP (3), 2024)

Dual Variational Knowledge Attention for Class Incremental Vision Transformer. - Haoran Duan 001; Rui Sun; Varun Ojha 001; Tejal Shah; Zhuoxu Huang; Zizhou Ouyang; Yawen Huang; Yang Long 001; Rajiv Ranjan 001 (IJCNN, 2024)

NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. - Feng Xiong; Thanet Markchom; Ziwei Zheng; Subin Jung; Varun Ojha 001; Huizhi Liang (SemEval@NAACL, 2024)

Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. - Feng Xiong; Thanet Markchom; Ziwei Zheng; Subin Jung; Varun Ojha 001; Huizhi Liang (CoRR, 2024)

Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching. - Xingyu Miao; Haoran Duan 001; Varun Ojha 001; Jun Song 003; Tejal Shah; Yang Long 001; Rajiv Ranjan 001 (CoRR, 2024)

Rehearsal-free Federated Domain-incremental Learning. - Rui Sun; Haoran Duan 001; Jiahua Dong; Varun Ojha 001; Tejal Shah; Rajiv Ranjan 001 (CoRR, 2024)

Security Assessment of Hierarchical Federated Deep Learning. - Duaa AlQattan; R. Sun; H. Liang; Giuseppe Nicosia; Václav Snásel; Rajiv Ranjan 001; Varun Ojha 001 (CoRR, 2024)

On Learnable Parameters of Optimal and Suboptimal Deep Learning Models. - Ziwei Zheng; Huizhi Liang; Václav Snásel; Vito Latora; Panos M. Pardalos; Giuseppe Nicosia; Varun Ojha 001 (CoRR, 2024)

Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks. - Zhenyu Liu; Haoran Duan 001; Huizhi Liang; Yang Long 001; Václav Snásel; Guiseppe Nicosia; Rajiv Ranjan 001; Varun Ojha 001 (CoRR, 2024)

Exemplar-condensed Federated Class-incremental Learning. - Rui Sun; Yumin Zhang; Varun Ojha 001; Tejal Shah; Haoran Duan 001; Bo Wei; Rajiv Ranjan 001 (CoRR, 2024)

Wearable-based behaviour interpolation for semi-supervised human activity recognition. - Haoran Duan 001; Shidong Wang; Varun Ojha 001; Shizheng Wang; Yawen Huang; Yang Long 001; Rajiv Ranjan 001; Yefeng Zheng 001 (Inf. Sci., 2024)

Fragility, robustness and antifragility in deep learning. - Chandresh Pravin; Ivan Martino; Giuseppe Nicosia; Varun Ojha 001 (Artif. Intell., 2024)

Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network. - Václav Snásel; Martin Stepnicka; Varun Ojha 001; Ponnuthurai Nagaratnam Suganthan; Ruobin Gao; Lingping Kong 001 (Inf. Fusion, 2024)

D2Fusion: Dual-domain fusion with feature superposition for Deepfake detection. - Xueqi Qiu; Xingyu Miao; Fan Wan; Haoran Duan 001; Tejal Shah; Varun Ojha 001; Yang Long 001; Rajiv Ranjan 001 (Inf. Fusion, 2025)

Euclidean and Poincaré space ensemble Xgboost. - Ponnuthurai Nagaratnam Suganthan; Lingping Kong 001; Václav Snásel; Varun Ojha 001; Hussein Ahmed Hussein Zaky Aly (Inf. Fusion, 2025)

Unified Few-shot Crack Segmentation and its Precise 3D Automatic Measurement in Concrete Structures. - Pengru Deng; Jiapeng Yao; Chun Li; Su Wang; Xinrun Li; Varun Ojha 001; Xuhui He; Takashi Matsumoto (CoRR, 2025)

D2Fusion: Dual-domain Fusion with Feature Superposition for Deepfake Detection. - Xueqi Qiu; Xingyu Miao; Fan Wan; Haoran Duan 001; Tejal Shah; Varun Ojha 001; Yang Longa; Rajiv Ranjan 001 (CoRR, 2025)

D2R: dual regularization loss with collaborative adversarial generation for model robustness. - Zhenyu Liu; Huizhi Liang; Rajiv Ranjan 001; Zhanxing Zhu; Václav Snásel; Varun Ojha 001 (CoRR, 2025)