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ORCIDVarun Ojha 0001
Varun Kumar Ojha
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- affiliation: University of Reading, UK
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Journal Articles
- 2025
[j19]Ponnuthurai Nagaratnam Suganthan, Lingping Kong, Václav Snásel, Varun Ojha, Hussein Ahmed Hussein Zaky Aly:
Euclidean and Poincaré space ensemble Xgboost. Inf. Fusion 115: 102746 (2025)- 2024
- [j18]Chandresh Pravin
, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Fragility, robustness and antifragility in deep learning. Artif. Intell. 327: 104060 (2024) - [j17]Václav Snásel, Martin Stepnicka, Varun Ojha, Ponnuthurai Nagaratnam Suganthan, Ruobin Gao, Lingping Kong:
Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network. Inf. Fusion 102: 102067 (2024) - [j16]Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng:
Wearable-based behaviour interpolation for semi-supervised human activity recognition. Inf. Sci. 665: 120393 (2024) - 2023
- [j15]Varun Ojha, Bartolomeo Pantò, Giuseppe Nicosia:
Adaptive search space decomposition method for pre- and post-buckling analyses of space truss structures. Eng. Appl. Artif. Intell. 117(Part): 105593 (2023) - [j14]Lingping Kong, Varun Ojha, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, Václav Snásel:
Low-rank and global-representation-key-based attention for graph transformer. Inf. Sci. 642: 119108 (2023) - 2022
- [j13]Varun Ojha, Giuseppe Nicosia:
Backpropagation Neural Tree. Neural Networks 149: 66-83 (2022) - [j12]Varun Ojha, Jon Timmis, Giuseppe Nicosia:
Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies. Swarm Evol. Comput. 74: 101130 (2022) - 2019
- [j11]Varun Ojha, Ajith Abraham, Václav Snásel:
Heuristic design of fuzzy inference systems: A review of three decades of research. Eng. Appl. Artif. Intell. 85: 845-864 (2019) - [j10]Martin Bielik, Sven Schneider, Saskia F. Kuliga, Danielle Griego, Varun Ojha, Reinhard König, Gerhard Schmitt, Dirk Donath:
Examining Trade-Offs between Social, Psychological, and Energy Potential of Urban Form. ISPRS Int. J. Geo Inf. 8(2): 52 (2019) - [j9]Varun Kumar Ojha, Danielle Griego, Saskia F. Kuliga, Martin Bielik, Peter Bus, Charlotte Schaeben, Lukas Treyer, Matthias Standfest, Sven Schneider, Reinhard König, Dirk Donath, Gerhard Schmitt:
Machine learning approaches to understand the influence of urban environments on human's physiological response. Inf. Sci. 474: 154-169 (2019) - 2018
- [j8]Varun Kumar Ojha, Serena Schiano, Chuan-Yu Wu, Václav Snásel, Ajith Abraham:
Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree. Neural Comput. Appl. 29(7): 467-481 (2018) - [j7]Varun Kumar Ojha, Václav Snásel, Ajith Abraham:
Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees. IEEE Trans. Fuzzy Syst. 26(2): 915-936 (2018) - 2017
- [j6]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming. Appl. Soft Comput. 52: 909-924 (2017) - [j5]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Metaheuristic design of feedforward neural networks: A review of two decades of research. Eng. Appl. Artif. Intell. 60: 97-116 (2017) - [j4]Varun Kumar Ojha, Paramartha Dutta, Atal Chaudhuri:
Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study. Neural Comput. Appl. 28(6): 1343-1354 (2017) - 2015
- [j3]Varun Kumar Ojha, Paramartha Dutta, Atal Chaudhuri, Hiranmay Saha:
Understating continuous ant colony optimization for neural network training: A case study on intelligent sensing of manhole gas components. Int. J. Hybrid Intell. Syst. 12(4): 185-202 (2015) - [j2]Varun Kumar Ojha, Paramartha Dutta, Atal Chaudhuri, Hiranmay Saha:
A multi-agent concurrent neurosimulated annealing algorithm: A case study on intelligent sensing of manhole gases. Int. J. Hybrid Intell. Syst. 12(4): 203-217 (2015) - 2012
- [j1]Varun Kumar Ojha, Paramartha Dutta:
Performance analysis of neuro swarm optimization algorithm applied on detecting proportion of components in manhole gas mixture. Artif. Intell. Res. 1(1): 31-45 (2012)
Conference and Workshop Papers
- 2024
- [c29]Duaa S. Alqattan, Rui Sun, Huizhi Liang, Guiseppe Nicosia, Václav Snásel, Rajiv Ranjan, Varun Ojha:
Security Assessment of Hierarchical Federated Deep Learning. ICANN (6) 2024: 202-217 - [c28]Haoran Duan, Rui Sun, Varun Ojha, Tejal Shah, Zhuoxu Huang, Zizhou Ouyang, Yawen Huang, Yang Long, Rajiv Ranjan:
Dual Variational Knowledge Attention for Class Incremental Vision Transformer. IJCNN 2024: 1-8 - [c27]Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha, Huizhi Liang:
NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. SemEval@NAACL 2024: 163-169 - 2023
- [c26]Thanet Markchom, Huizhi Liang, Joyce Gitau, Zehao Liu, Varun Ojha, Lee Taylor, Jake Bonnici, Abdullah Alshadadi:
UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation. SemEval@ACL 2023: 16-22 - 2022
- [c25]Lingping Kong, Abhishek Kumar, Václav Snásel, Swagatam Das, Pavel Krömer, Varun Ojha:
CSS-A Cheap-Surrogate-Based Selection Operator for Multi-objective Optimization. BIOMA 2022: 54-68 - [c24]Matteo N. Amaradio, Giorgio Jansen, Varun Ojha, Jole Costanza, Giuseppe Di Fatta, Giuseppe Nicosia:
Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models. LOD (1) 2022: 596-612 - 2021
- [c23]Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. ICANN (1) 2021: 16-28 - [c22]Rhian Taylor, Varun Ojha, Ivan Martino, Giuseppe Nicosia:
Sensitivity Analysis for Deep Learning: Ranking Hyper-parameter Influence. ICTAI 2021: 512-516 - 2020
- [c21]Varun Ojha, Giuseppe Nicosia:
Multi-Objective Optimisation of Multi-Output Neural Trees. CEC 2020: 1-8 - [c20]Rémy Vandaele, Sarah L. Dance, Varun Ojha:
Automated Water Segmentation and River Level Detection on Camera Images Using Transfer Learning. GCPR 2020: 232-245 - [c19]Jagjeevan Singh Shergill, Chandresh Pravin, Varun Ojha:
Accent and Gender Recognition from English Language Speech and Audio Using Signal Processing and Deep Learning. HIS 2020: 62-72 - [c18]Chandresh Pravin, Varun Ojha:
A Novel ECG Signal Denoising Filter Selection Algorithm Based on Conventional Neural Networks. ICMLA 2020: 1094-1100 - [c17]Billy Ward, Chandresh Pravin, Alec Chetcuti, Yoshikatsu Hayashi, Varun Ojha:
Classification of Musical Preference in Generation Z Through EEG Signal Processing and Machine Learning. ISDA 2020: 117-127 - [c16]Punitha Jaikumar, Remy Vandaele, Varun Ojha:
Transfer Learning for Instance Segmentation of Waste Bottles Using Mask R-CNN Algorithm. ISDA 2020: 140-149 - 2017
- [c15]Varun Kumar Ojha, Deepak Amban Mishra:
Neural Tree for Estimating the Uniaxial Compressive Strength of Rock Materials. HIS 2017: 1-10 - 2016
- [c14]Sebastián Basterrech, Varun Kumar Ojha:
Temporal Learning Using Echo State Network for Human Activity Recognition. ENIC 2016: 217-223 - [c13]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Metaheuristic tuning of type-II fuzzy inference systems for data mining. FUZZ-IEEE 2016: 610-617 - [c12]Ladislav Zjavka, Václav Snásel, Varun Kumar Ojha, Witold Pedrycz:
A substitution of the general partial differential equation with extended polynomial networks. IJCNN 2016: 4819-4826 - 2015
- [c11]Sara Abdelwahab, Varun Kumar Ojha, Ajith Abraham:
Neuro-Fuzzy Risk Prediction Model for Computational Grids. AECIA 2015: 127-136 - [c10]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Ensemble of Heterogeneous Flexible Neural Tree for the Approximation and Feature-Selection of Poly (Lactic-co-glycolic Acid) Micro- and Nanoparticle. AECIA 2015: 155-165 - [c9]Sara Abdelwahab, Varun Kumar Ojha, Ajith Abraham:
Ensemble of Flexible Neural Trees for Predicting Risk in Grid Computing Environment. IBICA 2015: 151-161 - [c8]Nada Ahmed, Varun Kumar Ojha, Ajith Abraham:
An Ensemble of Neuro-Fuzzy Model for Assessing Risk in Cloud Computing Environment. NaBIC 2015: 27-36 - 2014
- [c7]Lubna Abdel Kareim Gabralla, Talaat M. Wahby, Varun Kumar Ojha, Ajith Abraham:
Ensemble of adaptive neuro-fuzzy inference system using particle swarm optimization for prediction of crude oil prices. HIS 2014: 141-146 - [c6]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Simultaneous optimization of neural network weights and active nodes using metaheuristics. HIS 2014: 248-253 - [c5]Debiprasad Bandyopadhyay, Kousik Dasgupta, J. K. Mandal, Paramartha Dutta, Varun Kumar Ojha, Václav Snásel:
A Framework of Secured and Bio-Inspired Image Steganography Using Chaotic Encryption with Genetic Algorithm Optimization (CEGAO). IBICA 2014: 271-280 - [c4]Tamojit Chatterjee, Varun Kumar Ojha, Mainak Adhikari, Sourav Banerjee, Utpal Biswas, Václav Snásel:
Design and Implementation of an Improved Datacenter Broker Policy to Improve the QoS of a Cloud. IBICA 2014: 281-290 - [c3]Varun Kumar Ojha, Konrad Jackowski, Václav Snásel, Ajith Abraham:
Dimensionality Reduction and Prediction of the Protein Macromolecule Dissolution Profile. IBICA 2014: 301-310 - [c2]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
ACO for continuous function optimization: A performance analysis. ISDA 2014: 145-150 - [c1]Varun Kumar Ojha, Konrad Jackowski, Ajith Abraham, Václav Snásel:
Feature selection and ensemble of regression models for predicting the protein macromolecule dissolution profile. NaBIC 2014: 121-126
Editorship
- 2024
- [e8]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton:
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14505, Springer 2024, ISBN 978-3-031-53968-8 [contents] - [e7]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton:
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14506, Springer 2024, ISBN 978-3-031-53965-7 [contents] - 2023
- [e6]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13810, Springer 2023, ISBN 978-3-031-25598-4 [contents] - [e5]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13811, Springer 2023, ISBN 978-3-031-25890-9 [contents] - 2022
- [e4]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13163, Springer 2022, ISBN 978-3-030-95466-6 [contents] - [e3]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13164, Springer 2022, ISBN 978-3-030-95469-7 [contents] - 2020
- [e2]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12565, Springer 2020, ISBN 978-3-030-64582-3 [contents] - [e1]Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12566, Springer 2020, ISBN 978-3-030-64579-3 [contents]
Informal and Other Publications
- 2024
- [i25]Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha, Huizhi Liang:
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. CoRR abs/2401.12326 (2024) - [i24]Xingyu Miao, Haoran Duan, Varun Ojha, Jun Song, Tejal Shah, Yang Long, Rajiv Ranjan:
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching. CoRR abs/2405.11252 (2024) - [i23]Rui Sun, Haoran Duan, Jiahua Dong, Varun Ojha, Tejal Shah, Rajiv Ranjan:
Rehearsal-free Federated Domain-incremental Learning. CoRR abs/2405.13900 (2024) - [i22]Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng:
Wearable-based behaviour interpolation for semi-supervised human activity recognition. CoRR abs/2405.15962 (2024) - [i21]Duaa AlQattan, R. Sun, H. Liang, Giuseppe Nicosia, Václav Snásel, Rajiv Ranjan, Varun Ojha:
Security Assessment of Hierarchical Federated Deep Learning. CoRR abs/2408.10752 (2024) - [i20]Ziwei Zheng, Huizhi Liang, Václav Snásel, Vito Latora, Panos M. Pardalos, Giuseppe Nicosia, Varun Ojha:
On Learnable Parameters of Optimal and Suboptimal Deep Learning Models. CoRR abs/2408.11720 (2024) - [i19]Zhenyu Liu, Haoran Duan, Huizhi Liang, Yang Long, Václav Snásel, Guiseppe Nicosia, Rajiv Ranjan, Varun Ojha:
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks. CoRR abs/2408.13102 (2024) - 2023
- [i18]Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Fragility, Robustness and Antifragility in Deep Learning. CoRR abs/2312.09821 (2023) - 2022
- [i17]Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha:
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. CoRR abs/2201.12347 (2022) - [i16]Varun Ojha, Giuseppe Nicosia:
Backpropagation Neural Tree. CoRR abs/2202.02248 (2022) - [i15]Punitha Jaikumar, Remy Vandaele, Varun Ojha:
Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm. CoRR abs/2204.07437 (2022) - [i14]Varun Ojha, Jon Timmis, Giuseppe Nicosia:
Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies. CoRR abs/2207.04820 (2022) - [i13]Varun Ojha, Bartolomeo Pantò, Giuseppe Nicosia:
Adaptive search space decomposition method for pre- and post- buckling analyses of space truss structures. CoRR abs/2211.07519 (2022) - 2020
- [i12]Varun Ojha, Giuseppe Nicosia:
Multi-Objective Optimisation of Multi-Output Neural Trees. CoRR abs/2010.04524 (2020) - 2019
- [i11]Varun Ojha, Ajith Abraham, Václav Snásel:
Heuristic design of fuzzy inference systems: A review of three decades of research. CoRR abs/1908.10122 (2019) - 2018
- [i10]Varun Kumar Ojha, Danielle Griego, Saskia F. Kuliga, Martin Bielik, Peter Bus, Charlotte Schaeben, Lukas Treyer, Matthias Standfest, Sven Schneider, Reinhard König, Dirk Donath, Gerhard Schmitt:
Machine learning approaches to understand the influence of urban environments on human's physiological response. CoRR abs/1812.06128 (2018) - 2017
- [i9]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research. CoRR abs/1705.05584 (2017) - [i8]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming. CoRR abs/1705.05592 (2017) - [i7]Varun Kumar Ojha, Václav Snásel, Ajith Abraham:
Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees. CoRR abs/1705.05769 (2017) - [i6]Varun Kumar Ojha, Paramartha Dutta, Atal Chaudhuri:
Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study. CoRR abs/1707.00561 (2017) - [i5]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
Simultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics. CoRR abs/1707.01810 (2017) - [i4]Varun Kumar Ojha, Ajith Abraham, Václav Snásel:
ACO for Continuous Function Optimization: A Performance Analysis. CoRR abs/1707.01812 (2017) - [i3]Varun Kumar Ojha, Paramartha Dutta, Atal Chaudhuri, Hiranmay Saha:
Convergence Analysis of Backpropagation Algorithm for Designing an Intelligent System for Sensing Manhole Gases. CoRR abs/1707.01821 (2017) - [i2]Varun Kumar Ojha, Serena Schiano, Chuan-Yu Wu, Václav Snásel, Ajith Abraham:
Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree. CoRR abs/1709.04318 (2017) - 2012
- [i1]Varun Kumar Ojha, Paramartha Dutta, Hiranmay Saha:
Performance Analysis Of Neuro Genetic Algorithm Applied On Detecting Proportion Of Components In Manhole Gas Mixture. CoRR abs/1209.1048 (2012)
Coauthor Index
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