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Raghava Rao Mukkamala
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2020 – today
- 2024
- [j13]Ashutosh Dhar Dwivedi
, Rajani Singh, Keshav Kaushik
Blockchain and artificial intelligence for 5G-enabled Internet of Things: Challenges, opportunities, and solutions. Trans. Emerg. Telecommun. Technol. 35(4) (2024) - [j12]Sippo Rossi, Matti Rossi, Raghava Rao Mukkamala, Jason Bennett Thatcher, Yogesh K. Dwivedi:
Augmenting research methods with foundation models and generative AI. Int. J. Inf. Manag. 77: 102749 (2024) - [c58]Somnath Mazumdar, Abid Hussain, Raghava Rao Mukkamala:
How to Control User Private Data Access in Mixed Reality Platforms using Blockchain? HICSS 2024: 3749-3758 - [i3]Sippo Rossi, Alisia Marianne Michel, Raghava Rao Mukkamala, Jason Bennett Thatcher:
An Early Categorization of Prompt Injection Attacks on Large Language Models. CoRR abs/2402.00898 (2024) - 2023
- [j11]Malte Bieler
A Context- and Trajectory-Based Destination Prediction of Public Transportation Users. IEEE Intell. Transp. Syst. Mag. 15(1): 300-317 (2023) - [j10]Raghava Rao Mukkamala, Robert J. Kauffman, Helle Zinner Henriksen:
Champions for Social Good: How Can We Discover Social Sentiment and Attitude-Driven Patterns in Prosocial Communication? J. Assoc. Inf. Syst. 24(6): 5 (2023) - [c57]Sippo Rossi, Youngjin Kwon, Odd Harald Auglend, Raghava Rao Mukkamala, Matti Rossi, Jason Thatcher:
Are Deep Learning-Generated Social Media Profiles Indistinguishable from Real Profiles? HICSS 2023: 134-143 - 2022
- [j9]Rajani Singh, Ashutosh Dhar Dwivedi
Privacy-preserving ledger for blockchain and Internet of Things-enabled cyber-physical systems. Comput. Electr. Eng. 103: 108290 (2022) - [j8]Ashutosh Dhar Dwivedi
Privacy preserving authentication system based on non-interactive zero knowledge proof suitable for Internet of Things. J. Ambient Intell. Humaniz. Comput. 13(10): 4639-4649 (2022) - [j7]Sophia Auer, Sophia Nagler, Somnath Mazumdar
Towards blockchain-IoT based shared mobility: Car-sharing and leasing as a case study. J. Netw. Comput. Appl. 200: 103316 (2022) - [j6]Deepraj Chowdhury, Anik Das
ABCanDroid: A Cloud Integrated Android App for Noninvasive Early Breast Cancer Detection Using Transfer Learning. Sensors 22(3): 832 (2022) - [c56]Abhimanyu Bhowmik, Madhushree Sannigrahi, Deepraj Chowdhury, Ashutosh Dhar Dwivedi
DBNex: Deep Belief Network and Explainable AI based Financial Fraud Detection. IEEE Big Data 2022: 3033-3042 - [c55]Tim Schurig, Sine Zambach, Raghava Rao Mukkamala, Malte Petry:
Aspect-based Sentiment Analysis for University Teaching Analytics. ECIS 2022 - [c54]Deepraj Chowdhury, Rupanjan Das, Risav Rana, Ashutosh Dhar Dwivedi
AUTODEEPSLICE: A Data Driven Network Slicing Technique of 5G network using Automatic Deep Learning. GLOBECOM (Workshops) 2022: 450-454 - [c53]Günter Prockl, Dominik Roeck, Thomas Jensen, Somnath Mazumdar, Raghava Rao Mukkamala:
Beyond Task-technology Fit: Exploring Network Value of Blockchain Technology Based on Two Supply Chain Cases. HICSS 2022: 1-10 - [c52]Saranda Poddar, Deepraj Chowdhury, Ashutosh Dhar Dwivedi
Data Driven based Malicious URL Detection using Explainable AI. TrustCom 2022: 1266-1272 - [i2]Sippo Rossi, Youngjin Kwon, Odd Harald Auglend, Raghava Rao Mukkamala, Matti Rossi, Jason Thatcher:
Are Deep Learning-Generated Social Media Profiles Indistinguishable from Real Profiles? CoRR abs/2209.07214 (2022) - 2021
- [c51]Somnath Mazumdar, Thomas Jensen, Raghava Rao Mukkamala, Robert J. Kauffman, Jan Damsgaard:
Do Blockchain and IoT Architecture Create Informedness to Support Provenance Tracking in the Product Lifecycle? HICSS 2021: 1-10 - 2020
- [j5]Rajakumaran Gayathri, Neelanarayanan Venkataraman, Raghava Rao Mukkamala:
Denial of Service Attack Prediction Using Gradient Descent Algorithm. SN Comput. Sci. 1(1): 45:1-45:8 (2020) - [c50]Abid Hussain, Lester Allan Lasrado, Raghava Rao Mukkamala, Usman Tanveer:
Sharing Is Caring - Design and Demonstration of a Data Privacy Tool for Interorganizational Transfer of Data. CENTERIS/ProjMAN/HCist 2020: 394-402
2010 – 2019
- 2019
- [j4]Haohua Sun Yin, Klaus Christian Langenheldt, Mikkel Alexander Harlev, Raghava Rao Mukkamala
Regulating Cryptocurrencies: A Supervised Machine Learning Approach to De-Anonymizing the Bitcoin Blockchain. J. Manag. Inf. Syst. 36(1): 37-73 (2019) - [j3]Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability. Art Sci. Eng. Program. 3(1): 2 (2019) - [c49]Nadiya Straton
Predictive modelling of stigmatized behaviour in vaccination discussions on Facebook. BIBM 2019: 2561-2568 - [c48]Nadiya Straton
Computational modeling of stigmatized behaviour in pro-vaccination and anti-vaccination discussions on social media. BIBM 2019: 2673-2681 - [c47]Benedict Faber, Georg Cappelen Michelet, Niklas Weidmann, Raghava Rao Mukkamala, Ravi Vatrapu:
BPDIMS: A Blockchain-based Personal Data and Identity Management System. HICSS 2019: 1-10 - [c46]Jayesh Prakash Gupta
Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data. KMIS 2019: 176-186 - [c45]Jayesh Prakash Gupta
Revisiting Social Media Tie Strength in the Era of Data Access Restrictions. KMIS 2019: 187-194 - 2018
- [c44]Fie Sternberg, Kasper Hedegaard Pedersen, Niklas Klve Ryelund, Raghava Rao Mukkamala
Analysing Customer Engagement of Turkish Airlines Using Big Social Data. BigData Congress 2018: 74-81 - [c43]Qi An, Morten Grimmig Christensen, Annith Ramachandran, Raghava Rao Mukkamala
Volkswagen's Diesel Emission Scandal: Analysis of Facebook Engagement and Financial Outcomes. BigData Congress 2018: 260-276 - [c42]Raghava Rao Mukkamala
Converging Blockchain and Social Business for Socio-Economic Development. IEEE BigData 2018: 3039-3048 - [c41]Tor-Morten Grønli
Internet of Things Big Data Analytics: The Case of Noise Level Measurements at the Roskilde Music Festival. IEEE BigData 2018: 5153-5158 - [c40]Xiaochen Zheng
Blockchain-based Personal Health Data Sharing System Using Cloud Storage. HealthCom 2018: 1-6 - [c39]Mikkel Alexander Harlev, Haohua Sun Yin, Klaus Christian Langenheldt, Raghava Rao Mukkamala, Ravi Vatrapu:
Breaking Bad: De-Anonymising Entity Types on the Bitcoin Blockchain Using Supervised Machine Learning. HICSS 2018: 1-10 - [i1]Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski:
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability. CoRR abs/1807.08576 (2018) - 2017
- [c38]Nicolai H. Egebjerg, Niklas Hedegaard, Gerda Kuum, Raghava Rao Mukkamala
Big Social Data Analytics in Football: Predicting Spectators and TV Ratings from Facebook Data. BigData Congress 2017: 81-88 - [c37]Nadiya Straton
Big Social Data Analytics for Public Health: Predicting Facebook Post Performance Using Artificial Neural Networks and Deep Learning. BigData Congress 2017: 89-96 - [c36]Benjamin Flesch, Ravi Vatrapu
A big social media data study of the 2017 german federal election based on social set analysis of political party Facebook pages with SoSeVi. IEEE BigData 2017: 2720-2729 - [c35]Nadiya Straton
Big social data analytics for public health: Comparative methods study and performance indicators of health care content on Facebook. IEEE BigData 2017: 2772-2777 - [c34]Nadiya Straton
Facebook and public health: A study to understand facebook post performance with organizations' strategy. IEEE BigData 2017: 3123-3132 - [c33]Lester Allan Lasrado, Ravi Vatrapu, Raghava Rao Mukkamala:
Whose Maturity is IT Anyway? The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models. ECIS 2017 - [c32]Jonathan-Raphael Reichert, Klaus Langholz Kristensen, Raghava Rao Mukkamala
A supervised machine learning study of online discussion forums about type-2 diabetes. Healthcom 2017: 1-7 - [c31]Desiree Christina Komtesse af Rosenborg, Ida Buhl-Andersen, Line Bygvrå Nilsson, Mark Philip Rebild, Raghava Rao Mukkamala, Abid Hussain, Ravi Vatrapu:
Buzz vs. Sales: Big Social Data Analytics of Style Icon Campaigns and Fashion Designer Collaborations on H&M's Facebook Page. HICSS 2017: 1-10 - [c30]Xiao Xiao, Jonas Hedman, Felix Ter Chian Tan, Chee-Wee Tan, Torkil Clemmensen, Eric Tze Kuan Lim, Stefan Henningsson, Raghava Rao Mukkamala, Ravi Vatrapu, Jos van Hillegersberg:
Sports Digitalization: A Review and A Research Agenda. ICIS 2017 - [c29]Osku Torro, Jayesh Prakash Gupta
Integrating micro-level interactions with social network analysis in tie strength research: the edge-centered approach. MindTrek 2017: 203-209 - 2016
- [j2]Ravi Vatrapu
Social Set Analysis: A Set Theoretical Approach to Big Data Analytics. IEEE Access 4: 2542-2571 (2016) - [c28]Lasse Korsholm Poulsen, Daan Dekkers, Nicolaas Wagenaar, Wesley Snijders, Ben Lewinsky, Raghava Rao Mukkamala
Green Cabs vs. Uber in New York City. BigData Congress 2016: 222-229 - [c27]Linda Camilla Boldt, Vinothan Vinayagamoorthy, Florian Winder, Melanie Schnittger, Mats Ekran, Raghava Rao Mukkamala
Forecasting Nike's sales using Facebook data. IEEE BigData 2016: 2447-2456 - [c26]Anna Hennig, Anne-Sofie Amodt, Henrik Hernes, Helene Mejer Nygardsmoen, Peter Arenfeldt Larsen, Raghava Rao Mukkamala
Big social data analytics of changes in consumer behaviour and opinion of a TV broadcaster. IEEE BigData 2016: 3839-3848 - [c25]Henrikke Hovda Larsen, Johanna Margareta Forsberg, Sigrid Viken Hemstad, Raghava Rao Mukkamala
TV ratings vs. social media engagement: Big social data analytics of the Scandinavian TV talk show Skavlan. IEEE BigData 2016: 3849-3858 - [c24]Benjamin Flesch, Raghava Rao Mukkamala, Abid Hussain, Ravi Vatrapu:
Social Set Visualizer (SoSeVi) II: Interactive Social Set Analysis of Big Data. SetVR@Diagrams 2016: 19-28 - [c23]Kjeld S. Hansen, Raghava Rao Mukkamala
Big Social Data in Public Health: A Mixed-methods Case Study of Sundhed.dk's Facebook Strategy, Engagement, and Performance. EUSPN/ICTH 2016: 298-307 - [c22]Nadiya Straton
Big social data analytics for public health: Facebook engagement and performance. HealthCom 2016: 1-6 - [c21]Jari Jussila
Crowdfunding in the Development of Social Media Fanbase - Case Study of Two Competing Ecosystems. HICSS 2016: 4495-4504 - [c20]Aseem Kinra
Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments. LDIC 2016: 119-129 - [c19]Jayesh Prakash Gupta
Identifying weak ties from publicly available social media data in an event. MindTrek 2016: 11-19 - 2015
- [c18]Raghava Rao Mukkamala
Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis. BigData Congress 2015: 745-748 - [c17]Benjamin Flesch, Ravi Vatrapu
Social set visualizer: A set theoretical approach to big social data analytics of real-world events. IEEE BigData 2015: 2418-2427 - [c16]Raghava Rao Mukkamala
Social Set Analysis of Corporate Social Media Crises on Facebook. EDOC 2015: 112-121 - [c15]Ravi Vatrapu
Social set analysis: four demonstrative case studies. SMSociety 2015: 3:1-3:9 - 2014
- [c14]Raghava Rao Mukkamala
Towards a Set Theoretical Approach to Big Data Analytics. BigData Congress 2014: 629-636 - [c13]Raghava Rao Mukkamala
Fuzzy-Set Based Sentiment Analysis of Big Social Data. EDOC 2014: 71-80 - 2013
- [j1]Thomas T. Hildebrandt, Raghava Rao Mukkamala
Contracts for cross-organizational workflows as timed Dynamic Condition Response Graphs. J. Log. Algebraic Methods Program. 82(5-7): 164-185 (2013) - [c12]Tijs Slaats, Raghava Rao Mukkamala
Exformatics Declarative Case Management Workflows as DCR Graphs. BPM 2013: 339-354 - [c11]Raghava Rao Mukkamala
Towards Trustworthy Adaptive Case Management with Dynamic Condition Response Graphs. EDOC 2013: 127-136 - [c10]Thomas T. Hildebrandt, Raghava Rao Mukkamala
Modular context-sensitive and aspect-oriented processes with dynamic condition response graphs. FOAL 2013: 19-24 - [c9]Thomas T. Hildebrandt, Morten Marquard, Raghava Rao Mukkamala
Dynamic Condition Response Graphs for Trustworthy Adaptive Case Management. OTM Workshops 2013: 166-171 - 2011
- [c8]Thomas T. Hildebrandt, Raghava Rao Mukkamala
Designing a Cross-Organizational Case Management System Using Dynamic Condition Response Graphs. EDOC 2011: 161-170 - [c7]Thomas T. Hildebrandt, Raghava Rao Mukkamala
Declarative Modelling and Safe Distribution of Healthcare Workflows. FHIES 2011: 39-56 - [c6]Thomas T. Hildebrandt, Raghava Rao Mukkamala
Nested Dynamic Condition Response Graphs. FSEN 2011: 343-350 - [c5]Thomas T. Hildebrandt, Raghava Rao Mukkamala
Safe Distribution of Declarative Processes. SEFM 2011: 237-252 - 2010
- [c4]Raghava Rao Mukkamala
From Dynamic Condition Response Structures to Büchi Automata. TASE 2010: 187-190 - [c3]Thomas T. Hildebrandt, Raghava Rao Mukkamala:
Declarative Event-Based Workflow as Distributed Dynamic Condition Response Graphs. PLACES 2010: 59-73
2000 – 2009
- 2008
- [c2]Karen Marie Lyng, Thomas T. Hildebrandt, Raghava Rao Mukkamala
From Paper Based Clinical Practice Guidelines to Declarative Workflow Management. Business Process Management Workshops 2008: 336-347 - [c1]Raghava Rao Mukkamala, Thomas T. Hildebrandt, Janus Boris Tøth:
The Resultmaker Online Consultant: From Declarative Workflow Management in Practice to LTL. EDOCW 2008: 135-142
Coauthor Index
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last updated on 2024-07-02 20:39 CEST by the dblp team
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