Varun Ojha

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Top Venues

Eng. Appl. Artif. Intell.

Publications

Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha
Fragility, robustness and antifragility in deep learning. Artif. Intell. 327 (2024)
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 (2024)
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 (2024)
Rui Sun, Haoran Duan, Jiahua Dong, Varun Ojha, Tejal Shah, Rajiv Ranjan
Rehearsal-free Federated Domain-incremental Learning. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2023)
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)
Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha
Fragility, Robustness and Antifragility in Deep Learning. CoRR (2023)
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) (2023)
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)
Varun Ojha, Bartolomeo Pantò, Giuseppe Nicosia
Adaptive search space decomposition method for pre- and post- buckling analyses of space truss structures. CoRR (2022)
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)
Varun Ojha, Giuseppe Nicosia
Backpropagation Neural Tree. CoRR (2022)
Varun Ojha, Jon Timmis, Giuseppe Nicosia
Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies. Swarm Evol. Comput. 74 (2022)
Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. CoRR (2022)
Varun Ojha, Jon Timmis, Giuseppe Nicosia
Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies. CoRR (2022)
Punitha Jaikumar, Remy Vandaele, Varun Ojha
Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm. CoRR (2022)
Varun Ojha, Giuseppe Nicosia
Backpropagation Neural Tree. Neural Networks 149 (2022)
Rhian Taylor, Varun Ojha, Ivan Martino, Giuseppe Nicosia
Sensitivity Analysis for Deep Learning: Ranking Hyper-parameter Influence. ICTAI (2021)
Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. ICANN (1) (2021)
Varun Ojha, Giuseppe Nicosia
Multi-Objective Optimisation of Multi-Output Neural Trees. CEC (2020)
Chandresh Pravin, Varun Ojha
A Novel ECG Signal Denoising Filter Selection Algorithm Based on Conventional Neural Networks. ICMLA (2020)
Varun Ojha, Giuseppe Nicosia
Multi-Objective Optimisation of Multi-Output Neural Trees. CoRR (2020)
Rémy Vandaele, Sarah L. Dance, Varun Ojha
Automated Water Segmentation and River Level Detection on Camera Images Using Transfer Learning. GCPR (2020)
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)
Punitha Jaikumar, Remy Vandaele, Varun Ojha
Transfer Learning for Instance Segmentation of Waste Bottles Using Mask R-CNN Algorithm. ISDA (2020)
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)
Varun Ojha, Ajith Abraham, Václav Snásel
Heuristic design of fuzzy inference systems: A review of three decades of research. CoRR (2019)
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) (2019)
Varun Ojha, Ajith Abraham, Václav Snásel
Heuristic design of fuzzy inference systems: A review of three decades of research. Eng. Appl. Artif. Intell. 85 (2019)