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ORCIDShivam Sharma
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j10]Shivam Sharma
, Kazi Newaj Faisal, Rishi Raj Sharma:
Automated Grasp Recognition Using sEMG: Recent Advances, Challenges, and Future Developments. IEEE Trans. Instrum. Meas. 74: 1-17 (2025)- 2024
- [j9]Vincent Lam, Shivam Sharma, John L. Spouge, I. King Jordan, Leonardo Mariño-Ramírez:
Landscape of racial and ethnic health disparities in the All of Us Research Program. Database J. Biol. Databases Curation 2024 (2024) - [j8]Shivam Sharma, Aakash Shedsale, Rishi Raj Sharma:
Multivariate Fast Iterative Filtering Based Automated System for Grasp Motor Imagery Identification Using EEG Signals. Int. J. Hum. Comput. Interact. 40(23): 7915-7923 (2024) - [j7]Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David P. A. Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Y. Halevy, Eduard H. Hovy, Heng Ji, Filippo Menczer, Rubén Míguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni:
Factuality challenges in the era of large language models and opportunities for fact-checking. Nat. Mac. Intell. 6(8): 852-863 (2024) - [j6]Shivam Sharma, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty:
Emotion-Aware Multimodal Fusion for Meme Emotion Detection. IEEE Trans. Affect. Comput. 15(3): 1800-1811 (2024) - [c33]Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty:
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. ACL (Findings) 2024: 5042-5078 - [c32]Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee:
Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models. EMNLP (Findings) 2024: 4407-4419 - [c31]Vedang Dadape, Arnav Deshmukh, Shivam Sharma, Rishi Raj Sharma:
PSD Information Based Fatigue Invariant Hand Gesture Recognition Using sEMG. SPCOM 2024: 1-5 - [i21]Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee:
Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models. CoRR abs/2401.16727 (2024) - [i20]Shivam Sharma, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty:
Emotion-Aware Multimodal Fusion for Meme Emotion Detection. CoRR abs/2403.10279 (2024) - [i19]Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty:
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. CoRR abs/2405.11215 (2024) - [i18]Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana:
RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension. CoRR abs/2407.07321 (2024) - [i17]Anurag Acharya, Shivam Sharma, Robin Cosbey, Megha Subramanian, Scott Howland, Maria Glenski:
Exploring the Benefits of Domain-Pretraining of Generative Large Language Models for Chemistry. CoRR abs/2411.03542 (2024) - 2023
- [j5]Vijay Kumar, Shivam Sharma, Ranjeet Walia:
Driver drowsiness detection using modified deep learning architecture. Evol. Intell. 16(6): 1907-1916 (2023) - [c30]Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. AAAI 2023: 9763-9771 - [c29]Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty:
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization. ACL (1) 2023: 5272-5290 - [c28]Shivam Sharma, Rohan Joshi, Shruti Bhilare, Manjunath V. Joshi:
Robust Adversarial Defence: Use of Auto-inpainting. CAIP (1) 2023: 110-119 - [c27]Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? EACL 2023: 2141-2155 - [c26]Shrey Rastogi, Shivam Sharma, Suraj Kumar, Gaurav Singal:
Aqua Clear: Efficient Water Management for home water supply. IC3 2023: 631-637 - [c25]Shivang Agarwal, Jyoti Chaudhary, Hard Savani, Shivam Sharma, Mayank Vatsa, Richa Singh, Shyam Prasad Adhikari, Sangeeth Reddy, Kshitij Agrawal, Hemant Misra:
Leveraging Synthetic Data and Hard Pair Mining for Selfie vs ID Face Verification. IJCB 2023: 1-9 - [c24]Shivam Sharma, Rishi Raj Sharma:
Biometric Authentication from sEMG: Assessing the Potential of Adaptive Chirp Mode Decomposition. ICCST 2023: 1-6 - [c23]Jasmin Brandt, Elias Schede, Shivam Sharma, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney:
Contextual Preselection Methods in Pool-based Realtime Algorithm Configuration. LWDA 2023: 492-505 - [i16]Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? CoRR abs/2301.11219 (2023) - [i15]Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty:
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization. CoRR abs/2305.15913 (2023) - [i14]Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David P. A. Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Y. Halevy, Eduard H. Hovy, Heng Ji, Filippo Menczer, Rubén Míguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni:
Factuality Challenges in the Era of Large Language Models. CoRR abs/2310.05189 (2023) - 2022
- [j4]Neha Tuli, Archana Mantri, Shivam Sharma:
Augmented reality in education: a systematic study on technical and usability issues. Int. J. Comput. Aided Eng. Technol. 17(2): 164-183 (2022) - [j3]Vijay Kumar, Ranjeet Walia, Shivam Sharma:
DeepHumor: a novel deep learning framework for humor detection. Multim. Tools Appl. 81(12): 16797-16812 (2022) - [j2]Neha Tuli, Gurjinder Singh, Archana Mantri, Shivam Sharma:
Augmented reality learning environment to aid engineering students in performing practical laboratory experiments in electronics engineering. Smart Learn. Environ. 9(1): 26 (2022) - [c22]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. IJCAI 2022: 5597-5606 - [c21]Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, Tanmoy Chakraborty:
Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis. AACL/IJCNLP (1) 2022: 792-805 - [c20]Shivam Sharma, Cody Buntain:
Bang for your Buck: Performance Impact Across Choices in Learning Architectures for Crisis Informatics. ISCRAM 2022: 719-736 - [c19]Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. NAACL-HLT (Findings) 2022: 1572-1588 - [i13]Sameera Horawalavithana, Ellyn Ayton, Anastasiya Usenko, Shivam Sharma, Jasmine Eshun, Robin Cosbey, Maria Glenski, Svitlana Volkova:
EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs. CoRR abs/2204.07203 (2022) - [i12]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. CoRR abs/2205.04274 (2022) - [i11]Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. CoRR abs/2205.05738 (2022) - [i10]Raj G. Patel, Chia-Wei Hsing, Serkan Sahin, Saeed S. Jahromi, Samuel Palmer, Shivam Sharma, Christophe Michel, Vincent Porte, Mustafa Abid, Stephane Aubert, Pierre Castellani, Chi-Guhn Lee, Samuel Mugel, Roman Orus:
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations. CoRR abs/2208.02235 (2022) - [i9]Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, Tanmoy Chakraborty:
Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis. CoRR abs/2209.14667 (2022) - [i8]Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. CoRR abs/2212.00715 (2022) - [i7]Raj G. Patel, Chia-Wei Hsing, Serkan Sahin, Samuel Palmer, Saeed S. Jahromi, Shivam Sharma, Tomas Dominguez, Kris Tziritas, Christophe Michel, Vincent Porte, Mustafa Abid, Stephane Aubert, Pierre Castellani, Samuel Mugel, Roman Orus:
Quantum-Inspired Tensor Neural Networks for Option Pricing. CoRR abs/2212.14076 (2022) - 2021
- [c18]Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty:
Fighting an Infodemic: COVID-19 Fake News Dataset. CONSTRAINT@AAAI 2021: 21-29 - [c17]Parth Patwa, Mohit Bhardwaj, Vineeth Guptha, Gitanjali Kumari, Shivam Sharma, Srinivas PYKL, Amitava Das, Asif Ekbal, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts. CONSTRAINT@AAAI 2021: 42-53 - [c16]Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. ACL/IJCNLP (Findings) 2021: 2783-2796 - [c15]Samim Zahoor Taray, Sunil Prasad Jaiswal, Shivam Sharma, Noshaba Cheema, Klaus Illgner-Fehns, Philipp Slusallek, Ivo Ihrke:
A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting. GCPR 2021: 313-327 - [c14]Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. EMNLP (Findings) 2021: 4439-4455 - [c13]Gautham Sathish Nambissan, Prateek Mahajan, Shivam Sharma, Neha Gupta:
The Variegated Applications of Deep Learning Techniques in Human Activity Recognition. IC3 2021: 223-233 - [c12]Shivam Sharma, Cody Buntain:
An Evaluation of Twitter Datasets from Non-Pandemic Crises Applied to Regional COVID-19 Contexts. ISCRAM 2021: 808-815 - [c11]Shivam Sharma, Cody Buntain:
Method Comparison for Crisis Pipelines. TREC 2021 - [i6]Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. CoRR abs/2109.05184 (2021) - [i5]Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. CoRR abs/2110.00413 (2021) - 2020
- [c10]Amit Kumar Dhar, Shivam Sharma, Rishi Ranjan Singh:
Network Based Comparison of Indian Railways and Airways. CSoNet 2020: 100-112 - [c9]Sajal Jain, Shivam Sharma, Beerappa R. Chandavarkar:
Mitigating Man-in-the-Middle Attack in Digital Signature. ICCCNT 2020: 1-5 - [c8]Shivam Sharma, Cody Buntain:
Improving Classification of Crisis-Related Social Media Content via Text Augmentation and Image Analysis. TREC 2020 - [i4]Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty:
Fighting an Infodemic: COVID-19 Fake News Dataset. CoRR abs/2011.03327 (2020)
2010 – 2019
- 2019
- [c7]Shivam Sharma, Ke Zeng, Abhishek Vaidya, Uttam Singisetti:
Comparison of field plated and non-field plated Schottky barrier diodes in HVPE grown $\beta$-Ga2O3. DRC 2019: 151-152 - [i3]Kyle D. Julian, Shivam Sharma, Jean-Baptiste Jeannin, Mykel J. Kochenderfer:
Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions. CoRR abs/1903.00762 (2019) - 2018
- [c6]Shivam Sharma, P. Viswanath, Vinay Kumar Mittal:
Infant Crying Cause Recognition using Conventional and Deep Learning based Approaches. ICON 2018: 20-27 - [c5]Gaurav Bhatt, Aman Sharma, Shivam Sharma, Ankush Nagpal, Balasubramanian Raman, Ankush Mittal:
Combining Neural, Statistical and External Features for Fake News Stance Identification. WWW (Companion Volume) 2018: 1353-1357 - [i2]Gaurav Bhatt, Shivam Sharma, Balasubramanian Raman:
Attentive Recurrent Tensor Model for Community Question Answering. CoRR abs/1801.06792 (2018) - 2017
- [c4]Shivam Sharma, Pruthvi Raj Myakala, Rajasree Nalumachu, Suryakanth V. Gangashetty, V. K. Mittal:
Acoustic analysis of infant cry signal towards automatic detection of the cause of crying. ACII Workshops 2017: 117-122 - [c3]Pruthvi Raj Myakala, Rajasree Nalumachu, Shivam Sharma, V. K. Mittal:
An intelligent system for infant cry detection and information in real time. ACII Workshops 2017: 141-146 - [c2]Shivam Sharma, Seema Ghisingh, Vinay Kumar Mittal:
Component Characterization of Western and Indian Classical Music. SIRS 2017: 57-69 - [i1]Gaurav Bhatt, Aman Sharma, Shivam Sharma, Ankush Nagpal, Balasubramanian Raman, Ankush Mittal:
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification. CoRR abs/1712.03935 (2017) - 2015
- [c1]Shivam Sharma, Shubham Asthana, Vinay Kumar Mittal:
A Database of Infant Cry Sounds to Study the Likely Cause of Cry. ICON 2015: 112-117 - 2014
- [j1]Vasudha Bhatnagar, Manju Bhardwaj, Shivam Sharma, Sufyan Haroon:
Accuracy-diversity based pruning of classifier ensembles. Prog. Artif. Intell. 2(2-3): 97-111 (2014)
Coauthor Index
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