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

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

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

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

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

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

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

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

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

Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I (Springer, 2024)

Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II (Springer, 2024)

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

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

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

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

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

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

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

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

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

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

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

Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I (Springer, 2023)

Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II (Springer, 2023)

Fragility, Robustness and Antifragility in Deep Learning. - Pravin, Chandresh; Martino, Ivan; Nicosia, Giuseppe; Ojha, Varun (CoRR, 2023)

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

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

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

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

Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I (Springer, 2022)

Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II (Springer, 2022)

Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. - Pravin, Chandresh; Martino, Ivan; Nicosia, Giuseppe; Ojha, Varun (CoRR, 2022)

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

Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm. - Jaikumar, Punitha; Vandaele, Remy; Ojha, Varun (CoRR, 2022)

Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies. - Ojha, Varun; Timmis, Jon; Nicosia, Giuseppe (CoRR, 2022)

Adaptive search space decomposition method for pre- and post- buckling analyses of space truss structures. - Ojha, Varun; Pantò, Bartolomeo; Nicosia, Giuseppe (CoRR, 2022)

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

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

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

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

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

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

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

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

Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part I (Springer, 2020)

Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II (Springer, 2020)

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

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

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

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

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

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

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

Machine learning approaches to understand the influence of urban environments on human's physiological response. - Ojha, Varun Kumar; Griego, Danielle; Kuliga, Saskia F.; Bielik, Martin; Bus, Peter; Schaeben, Charlotte; Treyer, Lukas; Standfest, Matthias; Schneider, Sven; König, Reinhard; Donath, Dirk; Schmitt, Gerhard (CoRR, 2018)

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

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

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

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

Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research. - Ojha, Varun Kumar; Abraham, Ajith; Snásel, Václav (CoRR, 2017)

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

Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees. - Ojha, Varun Kumar; Snásel, Václav; Abraham, Ajith (CoRR, 2017)

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

Simultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics. - Ojha, Varun Kumar; Abraham, Ajith; Snásel, Václav (CoRR, 2017)

ACO for Continuous Function Optimization: A Performance Analysis. - Ojha, Varun Kumar; Abraham, Ajith; Snásel, Václav (CoRR, 2017)

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

Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree. - Ojha, Varun Kumar; Schiano, Serena; Wu, Chuan-Yu; Snásel, Václav; Abraham, Ajith (CoRR, 2017)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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