Shivam Sharma

Orcid: 0009-0003-1824-4281

According to our database1, Shivam Sharma authored at least 44 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Emotion-Aware Multimodal Fusion for Meme Emotion Detection.
CoRR, 2024

Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models.
CoRR, 2024

2023
Driver drowsiness detection using modified deep learning architecture.
Evol. Intell., December, 2023

Factuality Challenges in the Era of Large Language Models.
CoRR, 2023

Contextual Preselection Methods in Pool-based Realtime Algorithm Configuration.
Proceedings of the Lernen, 2023

Biometric Authentication from sEMG: Assessing the Potential of Adaptive Chirp Mode Decomposition.
Proceedings of the IEEE International Carnahan Conference on Security Technology, 2023

Leveraging Synthetic Data and Hard Pair Mining for Selfie vs ID Face Verification.
Proceedings of the IEEE International Joint Conference on Biometrics, 2023

Aqua Clear: Efficient Water Management for home water supply.
Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023

Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Robust Adversarial Defence: Use of Auto-inpainting.
Proceedings of the Computer Analysis of Images and Patterns, 2023

MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Augmented reality learning environment to aid engineering students in performing practical laboratory experiments in electronics engineering.
Smart Learn. Environ., 2022

DeepHumor: a novel deep learning framework for humor detection.
Multim. Tools Appl., 2022

Augmented reality in education: a systematic study on technical and usability issues.
Int. J. Comput. Aided Eng. Technol., 2022

Quantum-Inspired Tensor Neural Networks for Option Pricing.
CoRR, 2022

Quantum-Inspired Tensor Neural Networks for Partial Differential Equations.
CoRR, 2022

EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs.
CoRR, 2022

DISARM: Detecting the Victims Targeted by Harmful Memes.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Bang for your Buck: Performance Impact Across Choices in Learning Architectures for Crisis Informatics.
Proceedings of the 19th International Conference on Information Systems for Crisis Response and Management, 2022

Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Detecting and Understanding Harmful Memes: A Survey.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Method Comparison for Crisis Pipelines.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

An Evaluation of Twitter Datasets from Non-Pandemic Crises Applied to Regional COVID-19 Contexts.
Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management, 2021

The Variegated Applications of Deep Learning Techniques in Human Activity Recognition.
Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Detecting Harmful Memes and Their Targets.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Fighting an Infodemic: COVID-19 Fake News Dataset.
Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts.
Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020
Improving Classification of Crisis-Related Social Media Content via Text Augmentation and Image Analysis.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Mitigating Man-in-the-Middle Attack in Digital Signature.
Proceedings of the 11th International Conference on Computing, 2020

Network Based Comparison of Indian Railways and Airways.
Proceedings of the Computational Data and Social Networks - 9th International Conference, 2020

2019
Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions.
CoRR, 2019

Comparison of field plated and non-field plated Schottky barrier diodes in HVPE grown $\beta$-Ga2O3.
Proceedings of the Device Research Conference, 2019

2018
Attentive Recurrent Tensor Model for Community Question Answering.
CoRR, 2018

Combining Neural, Statistical and External Features for Fake News Stance Identification.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Infant Crying Cause Recognition using Conventional and Deep Learning based Approaches.
Proceedings of the 15th International Conference on Natural Language Processing, 2018

2017
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification.
CoRR, 2017

Component Characterization of Western and Indian Classical Music.
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2017

Acoustic analysis of infant cry signal towards automatic detection of the cause of crying.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017

An intelligent system for infant cry detection and information in real time.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017

2015
A Database of Infant Cry Sounds to Study the Likely Cause of Cry.
Proceedings of the 12th International Conference on Natural Language Processing, 2015

2014
Accuracy-diversity based pruning of classifier ensembles.
Prog. Artif. Intell., 2014


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