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Anirban Mukherjee
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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.
Person information
Other persons with the same name
- Anirban Mukherjee 0001 — Indian Institute of Technology Kharagpur, Department of Electrical Engineering, India
- Anirban Mukherjee 0002 — Singapore Management University, School of Business, Singapore
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2020 – today
- 2024
- [j4]Le Ngu Nguyen, Praneeth Susarla, Anirban Mukherjee, Manuel Lage Cañellas, Constantino Álvarez Casado, Xiaoting Wu, Olli Silvén, Dinesh Babu Jayagopi, Miguel Bordallo López:
Non-contact multimodal indoor human monitoring systems: A survey. Inf. Fusion 110: 102457 (2024) - [c10]Neel Dhanaraj, Jeon Ho Kang, Anirban Mukherjee, Heramb Nemlekar, Stefanos Nikolaidis, Satyandra K. Gupta:
Multi-Robot Task Allocation Under Uncertainty Via Hindsight Optimization. ICRA 2024: 16574-16580 - [i14]Le Ngu Nguyen, Constantino Álvarez Casado, Manuel Lage Cañellas, Anirban Mukherjee, Nhi Nguyen, Dinesh Babu Jayagopi, Miguel Bordallo López:
Multi-objective Feature Selection in Remote Health Monitoring Applications. CoRR abs/2401.05538 (2024) - [i13]Anirban Mukherjee, Hannah Hanwen Chang:
Silico-centric Theory of Mind. CoRR abs/2403.09289 (2024) - [i12]Anirban Mukherjee, Hannah Hanwen Chang:
Heuristic Reasoning in AI: Instrumental Use and Mimetic Absorption. CoRR abs/2403.09404 (2024) - [i11]Anirban Mukherjee, Monjoy Narayan Choudhury, Dinesh Babu Jayagopi:
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videos. CoRR abs/2403.10058 (2024) - [i10]Anirban Mukherjee:
Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation. CoRR abs/2403.14706 (2024) - [i9]Anirban Mukherjee:
Psittacines of Innovation? Assessing the True Novelty of AI Creations. CoRR abs/2404.00017 (2024) - [i8]Anirban Mukherjee, Hannah Hanwen Chang:
AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research. CoRR abs/2404.04436 (2024) - [i7]Anirban Mukherjee, Hannah Hanwen Chang:
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference. CoRR abs/2404.04979 (2024) - [i6]Anirban Mukherjee, Venkat Suprabath Bitra, Vignesh Bondugula, Tarun Reddy Tallapureddy, Dinesh Babu Jayagopi:
SemUV: Deep Learning based semantic manipulation over UV texture map of virtual human heads. CoRR abs/2407.00229 (2024) - [i5]Manuel Lage Cañellas, Le Nguyen, Anirban Mukherjee, Constantino Álvarez Casado, Xiaoting Wu, Praneeth Susarla, Sasan Sharifipour, Dinesh Babu Jayagopi, Miguel Bordallo López:
OMuSense-23: A Multimodal Dataset for Contactless Breathing Pattern Recognition and Biometric Analysis. CoRR abs/2407.06137 (2024) - 2023
- [i4]Anirban Mukherjee, Hannah H. Chang:
The Creative Frontier of Generative AI: Managing the Novelty-Usefulness Tradeoff. CoRR abs/2306.03601 (2023) - [i3]Hannah H. Chang, Anirban Mukherjee:
Machine Learning and Consumer Data. CoRR abs/2306.14118 (2023) - [i2]Anirban Mukherjee, Hannah H. Chang:
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables. CoRR abs/2308.11781 (2023) - [i1]Le Ngu Nguyen, Praneeth Susarla, Anirban Mukherjee, Manuel Lage Cañellas, Constantino Álvarez Casado, Xiaoting Wu, Olli Silvén, Dinesh Babu Jayagopi, Miguel Bordallo López:
Non-contact Multimodal Indoor Human Monitoring Systems: A Survey. CoRR abs/2312.07601 (2023) - 2022
- [j3]Pratik Joshi, Masilamani V., Anirban Mukherjee:
A knowledge graph embedding based approach to predict the adverse drug reactions using a deep neural network. J. Biomed. Informatics 132: 104122 (2022) - [c9]Kumar Shubham, Anirban Mukherjee, Dinesh Babu Jayagopi:
Review of realistic behavior and appearance generation in embodied conversational agents: A comparison between traditional and modern approaches. ICMI 2022: 191-197
2010 – 2019
- 2019
- [c8]Shreyasi Bhattacharya, Anirban Mukherjee, Santanu Phadikar:
A Deep Learning Approach for the Classification of Rice Leaf Diseases. DoSIER 2019: 61-69 - [c7]Anirban Mukherjee, Sabyasachi Mukhopadhyay, Prasanta K. Panigrahi, Saptarsi Goswami:
Utilization of Oversampling for multiclass sentiment analysis on Amazon Review Dataset. iCAST 2019: 1-6 - 2014
- [j2]Anirban Mukherjee, Utpal Garain, Arindam Biswas:
Experimenting with Automatic Text-to-Diagram Conversion: A Novel Teaching Aid for the Blind People. J. Educ. Technol. Soc. 17(3): 40-53 (2014) - 2013
- [c6]Anirban Mukherjee, Utpal Garain, Arindam Biswas:
Evaluation of Diagrams Produced by Text-to-Graphic Conversion Systems. GREC 2013: 252-265 - 2012
- [c5]Anirban Mukherjee, Joydip Datta, Raghavendra Jorapur, Ravi Singhvi, Saurav Haloi, Wasim Akram:
Shared disk big data analytics with Apache Hadoop. HiPC 2012: 1-6
2000 – 2009
- 2008
- [j1]Anirban Mukherjee, Utpal Garain:
A review of methods for automatic understanding of natural language mathematical problems. Artif. Intell. Rev. 29(2): 93-122 (2008) - [c4]Anirban Mukherjee, Utpal Garain:
Automatic Diagram Drawing Based on Natural Language Text Understanding. Diagrams 2008: 398-400 - 2007
- [c3]Anirban Mukherjee, Utpal Garain, Mita Nasipuri:
On construction of a geometryNet. Artificial Intelligence and Applications 2007: 567-572 - 2001
- [c2]Jana Dittmann, Anirban Mukherjee, Martin Steinebach:
Computer-aided visual model for ensuring video watermarking transparency. Security and Watermarking of Multimedia Contents 2001: 45-54 - 2000
- [c1]Jana Dittmann, Anirban Mukherjee, Martin Steinebach:
Media-Independent Watermarking Classification and the Need for Combining Digital Video and Audio Watermarking for Media Authentication. ITCC 2000: 62-67
Coauthor Index
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