Varun Ojha

71 papers A 1B 4C 4Journal 40Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing sampling performance in XGBoost by ensemble feature engineering.
Pattern Recognit.
Lingping Kong, Ponnuthurai Nagaratnam Suganthan, Václav Snásel, Varun Ojha, Jeng-Shyang Pan
2026 J jnl
Relation-aware multimodal data hashing for scalable recommendation systems.
Data Min. Knowl. Discov.
Zehao Liu, Huizhi Liang, Varun Ojha
2026 J jnl
Systematic Characterization of Minimal Deep Learning Architectures: A Unified Analysis of Convergence, Pruning, and Quantization.
CoRR
Ziwei Zheng, Huizhi Liang, Václav Snásel, Vito Latora, Panos M. Pardalos, Giuseppe Nicosia, Varun Ojha
2025 J jnl
AMap: Distilling Future Priors for Ahead-Aware Online HD Map Construction.
CoRR
Ruikai Li, Xinrun Li, Mengwei Xie, Hao Shan, Shoumeng Qiu, Xinyuan Chang, Yizhe Fan, Feng Xiong, Han Jiang, Yilong Ren, Haiyang Yu, Mu Xu, Yang Long, Varun Ojha, Zhiyong Cui
2025 — conf
AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural Networks.
PRCV (4)
Zhenyu Liu, Xinrun Li, Huizhi Liang, Václav Snásel, Varun Ojha
2025 J jnl
AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural Networks.
CoRR
Zhenyu Liu, Huizhi Liang, Xinrun Li, Václav Snásel, Varun Ojha
2025 J jnl
Analysis of deep learning under adversarial attacks in hierarchical federated learning.
High Confid. Comput.
Duaa S. Alqattan, Václav Snásel, Rajiv Ranjan, Varun Ojha
2025 — conf
D
ICANN (1)
Zhenyu Liu, Huizhi Liang, Rajiv Ranjan, Zhanxing Zhu, Václav Snásel, Varun Ojha
2025 J jnl
D2Fusion: Dual-domain Fusion with Feature Superposition for Deepfake Detection.
CoRR
Xueqi Qiu, Xingyu Miao, Fan Wan, Haoran Duan, Tejal Shah, Varun Ojha, Yang Longa, Rajiv Ranjan
2025 J jnl
D2Fusion: Dual-domain fusion with feature superposition for Deepfake detection.
Inf. Fusion
Xueqi Qiu, Xingyu Miao, Fan Wan, Haoran Duan, Tejal Shah, Varun Ojha, Yang Long, Rajiv Ranjan
2025 J jnl
D2R: dual regularization loss with collaborative adversarial generation for model robustness.
CoRR
Zhenyu Liu, Huizhi Liang, Rajiv Ranjan, Zhanxing Zhu, Václav Snásel, Varun Ojha
2025 J jnl
Deep Learning-Assisted Detection of Sarcopenia in Cross-Sectional Computed Tomography Imaging.
CoRR
Manish Bhardwaj, Huizhi Liang, Ashwin Sivaharan, Sandip Nandhra, Václav Snásel, Tamer El-Sayed, Varun Ojha
2025 J jnl
Euclidean and Poincaré space ensemble Xgboost.
Inf. Fusion
Ponnuthurai Nagaratnam Suganthan, Lingping Kong, Václav Snásel, Varun Ojha, Hussein Ahmed Hussein Zaky Aly
2025 J jnl
Learning Global Representation from Queries for Vectorized HD Map Construction.
CoRR
Shoumeng Qiu, Xinrun Li, Yang Long, Xiangyang Xue, Varun Ojha, Jian Pu
2025 — ed.
Machine Learning, Optimization, and Data Science - 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22-25, 2024, Revised Selected Papers, Part I
LOD (1)
Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, Panos M. Pardalos, Renato Umeton
2025 — ed.
Machine Learning, Optimization, and Data Science - 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22-25, 2024, Revised Selected Papers, Part II
LOD (2)
Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, Panos M. Pardalos, Renato Umeton
2025 — ed.
Machine Learning, Optimization, and Data Science - 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22-25, 2024, Revised Selected Papers, Part III
LOD (3)
Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, Panos M. Pardalos, Renato Umeton
2025 J jnl
Modular neural network for edge-based detection of early-stage IoT botnet.
High Confid. Comput.
Duaa S. Alqattan, Varun Ojha, Fawzy Habib, Ayman Noor, Graham Morgan, Rajiv Ranjan
2025 B conf
RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness.
TrustCom
Zhenyu Liu, Varun Ojha
2025 J jnl
RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness.
CoRR
Zhenyu Liu, Varun Ojha
2025 A conf
Rehearsal-free Federated Domain-incremental Learning.
ICDCS
Rui Sun, Haoran Duan, Jiahua Dong, Varun Ojha, Tejal Shah, Rajiv Ranjan
2025 J jnl
Unified Few-shot Crack Segmentation and its Precise 3D Automatic Measurement in Concrete Structures.
CoRR
Pengru Deng, Jiapeng Yao, Chun Li, Su Wang, Xinrun Li, Varun Ojha, Xuhui He, Takashi Matsumoto
2024 — conf
Automated trash screen blockage segmentation using deep learning.
BMVC Workshops
Remy Vandaele, Sarah L. Dance, Hywel T. P. Williams, Varun Ojha
2024 J jnl
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching.
CoRR
Xingyu Miao, Haoran Duan, Varun Ojha, Jun Song, Tejal Shah, Yang Long, Rajiv Ranjan
2024 B conf
Dual Variational Knowledge Attention for Class Incremental Vision Transformer.
IJCNN
Haoran Duan, Rui Sun, Varun Ojha, Tejal Shah, Zhuoxu Huang, Zizhou Ouyang, Yawen Huang, Yang Long, Rajiv Ranjan
2024 J jnl
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks.
CoRR
Zhenyu Liu, Haoran Duan, Huizhi Liang, Yang Long, Václav Snásel, Guiseppe Nicosia, Rajiv Ranjan, Varun Ojha
2024 J jnl
Exemplar-condensed Federated Class-incremental Learning.
CoRR
Rui Sun, Yumin Zhang, Varun Ojha, Tejal Shah, Haoran Duan, Bo Wei, Rajiv Ranjan
2024 J jnl
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection.
CoRR
Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha, Huizhi Liang
2024 J jnl
Fragility, robustness and antifragility in deep learning.
Artif. Intell.
Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha
2024 J jnl
Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network.
Inf. Fusion
Václav Snásel, Martin Stepnicka, Varun Ojha, Ponnuthurai Nagaratnam Suganthan, Ruobin Gao, Lingping Kong
2024 — ed.
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I
LOD (1)
Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton
2024 — ed.
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II
LOD (2)
Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton
2024 — conf
NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection.
SemEval@NAACL
Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha, Huizhi Liang
2024 — conf
On Learnable Parameters of Optimal and Suboptimal Deep Learning Models.
ICONIP (3)
Ziwei Zheng, Huizhi Liang, Václav Snásel, Vito Latora, Panos M. Pardalos, Guiseppe Nicosia, Varun Ojha
2024 J jnl
On Learnable Parameters of Optimal and Suboptimal Deep Learning Models.
CoRR
Ziwei Zheng, Huizhi Liang, Václav Snásel, Vito Latora, Panos M. Pardalos, Giuseppe Nicosia, Varun Ojha
2024 J jnl
Rehearsal-free Federated Domain-incremental Learning.
CoRR
Rui Sun, Haoran Duan, Jiahua Dong, Varun Ojha, Tejal Shah, Rajiv Ranjan
2024 — conf
Security Assessment of Hierarchical Federated Deep Learning.
ICANN (6)
Duaa S. Alqattan, Rui Sun, Huizhi Liang, Guiseppe Nicosia, Václav Snásel, Rajiv Ranjan, Varun Ojha
2024 J jnl
Security Assessment of Hierarchical Federated Deep Learning.
CoRR
Duaa S. Alqattan, R. Sun, H. Liang, Giuseppe Nicosia, Václav Snásel, Rajiv Ranjan, Varun Ojha
2024 J jnl
Wearable-based behaviour interpolation for semi-supervised human activity recognition.
CoRR
Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng
2024 J jnl
Wearable-based behaviour interpolation for semi-supervised human activity recognition.
Inf. Sci.
Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng
2023 J jnl
Adaptive search space decomposition method for pre- and post-buckling analyses of space truss structures.
Eng. Appl. Artif. Intell.
Varun Ojha, Bartolomeo Pantò, Giuseppe Nicosia
2023 J jnl
Fragility, Robustness and Antifragility in Deep Learning.
CoRR
Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha
2023 J jnl
Low-rank and global-representation-key-based attention for graph transformer.
Inf. Sci.
Lingping Kong, Varun Ojha, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, Václav Snásel
2023 — ed.
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I
LOD (1)
Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton
2023 — ed.
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II
LOD (2)
Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton
2023 — conf
UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation.
SemEval@ACL
Thanet Markchom, Huizhi Liang, Joyce Gitau, Zehao Liu, Varun Ojha, Lee Taylor, Jake Bonnici, Abdullah Alshadadi
2022 J jnl
Adaptive search space decomposition method for pre- and post- buckling analyses of space truss structures.
CoRR
Varun Ojha, Bartolomeo Pantò, Giuseppe Nicosia
2022 J jnl
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons.
CoRR
Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha
2022 J jnl
Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies.
CoRR
Varun Ojha, Jon Timmis, Giuseppe Nicosia
2022 J jnl
Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies.
Swarm Evol. Comput.
Varun Ojha, Jon Timmis, Giuseppe Nicosia
2022 J jnl
Backpropagation Neural Tree.
CoRR
Varun Ojha, Giuseppe Nicosia
2022 J jnl
Backpropagation Neural Tree.
Neural Networks
Varun Ojha, Giuseppe Nicosia
2022 — conf
CSS-A Cheap-Surrogate-Based Selection Operator for Multi-objective Optimization.
BIOMA
Lingping Kong, Abhishek Kumar, Václav Snásel, Swagatam Das, Pavel Krömer, Varun Ojha
2022 — conf
Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models.
LOD (1)
Matteo N. Amaradio, Giorgio Jansen, Varun Ojha, Jole Costanza, Giuseppe Di Fatta, Giuseppe Nicosia
2022 — ed.
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I
LOD
Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
2022 — ed.
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II
LOD
Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
2022 J jnl
Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm.
CoRR
Punitha Jaikumar, Remy Vandaele, Varun Ojha
2021 — conf
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons.
ICANN (1)
Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha
2021 B conf
Sensitivity Analysis for Deep Learning: Ranking Hyper-parameter Influence.
ICTAI
Rhian Taylor, Varun Ojha, Ivan Martino, Giuseppe Nicosia
2020 C conf
A Novel ECG Signal Denoising Filter Selection Algorithm Based on Conventional Neural Networks.
ICMLA
Chandresh Pravin, Varun Ojha
2020 C conf
Accent and Gender Recognition from English Language Speech and Audio Using Signal Processing and Deep Learning.
HIS
Jagjeevan Singh Shergill, Chandresh Pravin, Varun Ojha
2020 — conf
Automated Water Segmentation and River Level Detection on Camera Images Using Transfer Learning.
GCPR
Rémy Vandaele, Sarah L. Dance, Varun Ojha
2020 C conf
Classification of Musical Preference in Generation Z Through EEG Signal Processing and Machine Learning.
ISDA
Billy Ward, Chandresh Pravin, Alec Chetcuti, Yoshikatsu Hayashi, Varun Ojha
2020 — ed.
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part I
LOD (1)
Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
2020 — ed.
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II
LOD (2)
Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
2020 B conf
Multi-Objective Optimisation of Multi-Output Neural Trees.
CEC
Varun Ojha, Giuseppe Nicosia
2020 J jnl
Multi-Objective Optimisation of Multi-Output Neural Trees.
CoRR
Varun Ojha, Giuseppe Nicosia
2020 C conf
Transfer Learning for Instance Segmentation of Waste Bottles Using Mask R-CNN Algorithm.
ISDA
Punitha Jaikumar, Remy Vandaele, Varun Ojha
2019 J jnl
Examining Trade-Offs between Social, Psychological, and Energy Potential of Urban Form.
ISPRS Int. J. Geo Inf.
Martin Bielik, Sven Schneider, Saskia F. Kuliga, Danielle Griego, Varun Ojha, Reinhard König, Gerhard Schmitt, Dirk Donath
2019 J jnl
Heuristic design of fuzzy inference systems: A review of three decades of research.
CoRR
Varun Ojha, Ajith Abraham, Václav Snásel
2019 J jnl
Heuristic design of fuzzy inference systems: A review of three decades of research.
Eng. Appl. Artif. Intell.
Varun Ojha, Ajith Abraham, Václav Snásel