Aditya Kumar - RankMe

87 papers A* 2A 3B 1C 6Misc 1Journal 48Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI-driven forecasting of rural development in India: a deep learning case study on the gram panchayat development plan. J. Comput. Soc. Sci. Aditya Kumar, Sunil Kumar Singh, Kumar Utkarsh, Abhay Singh
2026	A*	`conf`	Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images. AAAI Aditya Kumar, Tom Blanchard, Adam Dziedzic, Franziska Boenisch
2026	—	`conf`	From Scan to Plan: Organ-Specific Deep Learning Networks for Brachytherapy. BIOSTEC (2) Nirmalya Gayen, Aditya Kumar, Bhuneshwar Singh Netam, Nithin Shivashankar, Kirthi A. S. Koushik, Vijay Natarajan
2026	J	`jnl`	Large language models with retrieval-augmented generation enhance expert modelling of Bayesian network for clinical decision support. Int. J. Comput. Assist. Radiol. Surg. Mario A. Cypko, Muhammad Agus Salim, Aditya Kumar, Leonard Berliner, Andreas Dietz, Matthaeus Stoehr, Oliver Amft
2026	J	`jnl`	Learning temporal embeddings from electronic health records of chronic kidney disease patients. CoRR Aditya Kumar, Mario A. Cypko, Oliver Amft
2026	J	`jnl`	Temporal Fusion Nexus: A task-agnostic multi-modal embedding model for clinical narratives and irregular time series in post-kidney transplant care. CoRR Aditya Kumar, Simon Rauch, Mario A. Cypko, Marcel Ganesh Naik, Matthieu-P. Schapranow, Aadil Rashid, Fabian Halleck, Bilgin Osmanodja, Roland Roller, Lars Pape, Klemens Budde, Mario Schiffer, Oliver Amft
2025	J	`jnl`	A Roadmap for Applying Graph Neural Networks to Numerical Data: Insights from Cementitious Materials. CoRR Mahmuda Sharmin, Taihao Han, Jie Huang, Narayanan Neithalath, Gaurav Sant, Aditya Kumar
2025	J	`jnl`	A multi-view validation framework for LLM-generated knowledge graphs of chronic kidney disease. Int. J. Comput. Assist. Radiol. Surg. Aditya Kumar, Dilpreet Singh, Mario A. Cypko, Oliver Amft
2025	J	`jnl`	An Independent Discriminant Network Towards Identification of Counterfeit Images and Videos. CoRR Shayantani Kar, B. Shresth Bhimrajka, Aditya Kumar, Sahil Gupta, Sourav Ghosh, Subhamita Mukherjee, Shauvik Paul
2025	J	`jnl`	Application of machine learning to predict food processing level using Open Food Facts. CoRR Nalin Arora, Aviral Chauhan, Siddhant Rana, Mahansh Aditya, Sumit Bhagat, Aditya Kumar, Akash Kumar, Akanksh Semar, Ayush Vikram Singh, Ganesh Bagler
2025	J	`jnl`	Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images. CoRR Aditya Kumar, Tom Blanchard, Adam Dziedzic, Franziska Boenisch
2025	J	`jnl`	Bi-level deep feature synthesis through variational autoencoder for predicting peptide antiviral activity using optimized deep ensemble. Expert Syst. Appl. Aditya Kumar, Deepak Singh
2025	J	`jnl`	Building Machine Learning Challenges for Anomaly Detection in Science. CoRR Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, Chris Harris, Shih-Chieh Hsu, Hilmar Lapp, Mark S. Neubauer, Josephine M. Namayanja, Aneesh Subramanian, Philip C. Harris, Advaith Anand, David Edward Carlyn, Subhankar Ghosh, Christopher G. Lawrence, Eric A. Moreno, Ryan Raikman, Jiaman Wu, Ziheng Zhang, Bayu Adhi, Mohammad Ahmadi Gharehtoragh, Saúl Alonso-Monsalve, Marta Babicz, Furqan Baig, Namrata Banerji, William Bardon, Tyler Barna, Tanya Y. Berger-Wolf, Adji Bousso Dieng, Micah Brachman, Quentin Buat, David C. Y. Hui, Phuong Cao, Franco Cerino, Yi-Chun Chang, Shivaji Chaulagain, An-Kai Chen, Deming Chen, Eric Chen, Chia-Jui Chou, Zih-Chen Ciou, Miles Cochran-Branson, Artur Cordeiro Oudot Choi, Michael Coughlin, Matteo Cremonesi, Maria Dadarlat, Peter Darch, Malina Desai, Daniel Diaz, Steven Dillmann, Javier M. Duarte, Isla Duporge, Urbas Ekka, Saba Entezari Heravi, Hao Fang, Rian Flynn, Geoffrey Fox, Emily Freed, Hang Gao, Jing Gao, Julia Gonski, Matthew J. Graham, Abolfazl Hashemi, Scott Hauck, James Hazelden, Joshua Henry Peterson, Duc Hoang, Wei Hu, Mirco Hünnefeld, David Hyde, Vandana P. Janeja, Nattapon Jaroenchai, Haoyi Jia, Yunfan Kang, Maksim Kholiavchenko, Elham E Khoda, Sangin Kim, Aditya Kumar, Bo-Cheng Lai, Trung Le, Chi-Wei Lee, Janghyeon Lee, Shaocheng Lee, Suzan van der Lee, Charles Lewis, Haitong Li, Haoyang Li, Henry Liao, Mia Liu, Xiaolin Liu, Xiulong Liu, Vladimir Loncar, Fangzheng Lyu, Ilya Makarov, Abhishikth Mallampalli Chen-Yu Mao, Alexander Michels, Alexander Migala, Farouk Mokhtar, Mathieu Morlighem
2025	J	`jnl`	Comprehensive survey of body weight estimation: techniques, datasets, and applications. Multim. Tools Appl. Muhammad Tanveer Jan, Aditya Kumar, Vivek Ganesh Sonar, Mike Wells, Abhijit S. Pandya, Gabriella Engstrom, Richard Shih, Borko Furht
2025	J	`jnl`	Enhanced Pearl Millet Mildew Disease Detection using Ensemble Deep Learning Methods. Int. J. Data Anal. Tech. Strateg. Jainath Yadav, Aditya Kumar
2025	C	`conf`	Enhancing Human-Computer Interaction: An Accurate Video-Based American Sign Language Translation Model Using Machine Learning Techniques. ICCE Aditya Kumar, Mahesh S. Khadtare, Pragati Dharmale
2025	J	`jnl`	Enhancing Productivity in Database Management Through AI: A Three-Phase Approach for Database. CoRR Kushagra Parashar, Ajay Dev, Aditya Kumar, Darpan Khatri
2025	J	`jnl`	Enhancing multi-view ensemble learning with zig-zag pattern-based feature set partitioning. Int. J. Comput. Sci. Eng. Aditya Kumar, Jainath Yadav
2025	J	`jnl`	Enhancing the Performance of Multi-View Learning by Hybrid Feature Partitioning Method. SN Comput. Sci. Aditya Kumar, Jainath Yadav
2025	J	`jnl`	FedStrag: Straggler-aware federated learning for low resource devices. Digit. Commun. Networks Aditya Kumar, Satish Narayana Srirama
2025	J	`jnl`	Graph coloring based feature partitioning for multi-view convolutional neural networks. Multim. Tools Appl. Aditya Kumar, Jainath Yadav
2025	J	`jnl`	Graph-based edge betweenness centrality in multi-view ensemble frameworks. Evol. Intell. Aditya Kumar, Vipin Kumar, Md Tanveer Alam, Jainath Yadav
2025	J	`jnl`	Improving multi-view ensemble learning with Round-Robin feature set partitioning. Data Knowl. Eng. Aditya Kumar, Jainath Yadav
2025	J	`jnl`	Kornia-rs: A Low-Level 3D Computer Vision Library In Rust. CoRR Edgar Riba, Jian Shi, Aditya Kumar, Andrew Shen, Gary R. Bradski
2025	J	`jnl`	Louvain-based multi-view creation for enhanced ensemble learning. Netw. Model. Anal. Health Informatics Bioinform. Aditya Kumar, Jainath Yadav
2025	J	`jnl`	Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts. CoRR Aditya Kumar, Simon Rauch, Mario A. Cypko, Oliver Amft
2025	J	`jnl`	Unveiling the potential of graph coloring in feature set partitioning: A study on high-dimensional datasets. Neurocomputing Aditya Kumar, Jainath Yadav
2024	C	`conf`	Camera-based Mobility Framework for Visually Impaired Pedestrians in Unstructured Environments. IV Aditya Kumar, Anwesha Chakravarty, Ayesha Choudhary, S. Indu
2024	C	`conf`	Estimating Complexity for Perception-based ADAS in Unstructured Road Environments. IV Imane Taourarti, Ayesha Choudhary, Vivek Kumar Paswan, Aditya Kumar, Arunkumar Ramaswamy, Javier Ibañez-Guzmán, Bruno Monsuez, Adriana Tapus
2024	—	`conf`	Evaluating Machine Learning Techniques for Stock Loss Forecasting: Hypothesis Testing and Model Selection. IC3I Devaansh Banga, Aditya Kumar, Sourabh Jain
2024	J	`jnl`	FIDEL: Fog integrated federated learning framework to train neural networks. Softw. Pract. Exp. Aditya Kumar, Satish Narayana Srirama
2024	J	`jnl`	Fog enabled distributed training architecture for federated learning. CoRR Aditya Kumar, Satish Narayana Srirama
2024	J	`jnl`	Generative Adversarial Network-Based Augmentation With Noval 2-Step Authentication for Anti-Coronavirus Peptide Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Aditya Kumar, Deepak Singh
2024	—	`conf`	IOT-Based Machine Learning for Crop Pattern Analysis. IC3I Aditya Kumar, Sourabh Jain, Rashmi Deopa
2024	J	`jnl`	MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI. J. Chem. Inf. Model. Subhojit Paul, Kaushika Olymon, Gustavo Sganzerla Martinez, Sharmilee Sarkar, Venkata Rajesh Yella, Aditya Kumar
2024	J	`jnl`	Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning. Knowl. Inf. Syst. Aditya Kumar, Jainath Yadav
2024	J	`jnl`	Multimodal fusion: advancing medical visual question-answering. Neural Comput. Appl. Anjali Mudgal, Udbhav Kush, Aditya Kumar, Amir Jafari
2024	—	`conf`	Optimizing Automatic Test Case Generation Using Singular Value Decomposition Approach. ICCCNT Manjubala Bisi, Aryan Srivastava, Abhishek Verma, Aditya Kumar
2024	—	`conf`	The Devil Is in the Command Line: Associating the Compiler Flags With the Binary and Build Metadata. ICSE-SEIP Gunnar Kudrjavets, Aditya Kumar, Jeff Thomas, Ayushi Rastogi
2024	J	`jnl`	The poker-chip experiments of synthetic elastomers. CoRR Farhad Kamarei, Aditya Kumar, Oscar Lopez-Pamies
2024	—	`conf`	Using AI and IoT to Promote Intra-Party Democracy for Indian Electoral Reforms: Emerging Issues. ICCCNT Sandeep Kumar, Pradeep Kumar, Aditya Kumar, Maulik Sharma, Amitesh Anand, Vishvendra Raj Malik
2024	—	`conf`	What Do You Mean by Memory? When Engineers Are Lost in the Maze of Complexity. ICSE-SEIP Gunnar Kudrjavets, Aditya Kumar, Jeff Thomas, Ayushi Rastogi
2023	—	`conf`	A Review of Data Security in Cloud Computing. ICCCNT Aditya Kumar, Adi Bhardwaj, Abhishek Singh
2023	J	`jnl`	A review of feature set partitioning methods for multi-view ensemble learning. Inf. Fusion Aditya Kumar, Jainath Yadav
2023	—	`conf`	Covid-19 Detection using chest X-Ray Images. ICCCNT Aditya Kumar, Simran Jeet Kaur, Neha Sharma
2023	J	`jnl`	DeePromClass: Delineator for Eukaryotic Core Promoters Employing Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Hemanth Kari, Surya Manikhanta Sowri Bandi, Aditya Kumar, Venkata Rajesh Yella
2023	J	`jnl`	Predicting Dissolution Kinetics of Tricalcium Silicate Using Deep Learning and Analytical Models. Algorithms Taihao Han, Sai Akshay Ponduru, Arianit Reka, Jie Huang, Gaurav Sant, Aditya Kumar
2023	J	`jnl`	The Devil Is in the Command Line: Associating the Compiler Flags With the Binary and Build Metadata. CoRR Gunnar Kudrjavets, Aditya Kumar, Jeff Thomas, Ayushi Rastogi
2023	—	`conf`	Water-Puddle Segmentation Using Deep Learning in Unstructured Environments. SOLI Aditya Kumar, Ayesha Choudhary
2023	J	`jnl`	What Do You Mean by Memory? When Engineers Are Lost in the Maze of Complexity. CoRR Gunnar Kudrjavets, Aditya Kumar, Jeff Thomas, Ayushi Rastogi
2023	A	`conf`	What Warnings Do Engineers Really Fix? The Compiler That Cried Wolf. MSR Gunnar Kudrjavets, Aditya Kumar, Ayushi Rastogi
2022	—	`conf`	An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVM. IC3 Bagesh Kumar, Amritansh Mishra, Subham Raj, Aditya Kumar, Om Suhas Vibhandik, Aayush Talesara, Shubham Kumar, O. P. Vyas
2022	—	`conf`	Deriving Customer Experience Implicitly from Social Media. WWW (Companion Volume) Aditya Kumar, Sneh Gupta, Ankit Sahu, Mayank Kant
2022	J	`jnl`	Design Aspects and Thermal Characteristics of Single-Sided Linear Induction Motor for Electromagnetic Launch Application. IEEE Access Lovesh B. Xaxa, Aditya Kumar, Rakesh Kumar Srivastava, R. K. Saket, Baseem Khan
2022	J	`jnl`	Machine learning and statistics shape a novel path in archaeal promoter annotation. BMC Bioinform. Gustavo Sganzerla Martinez, Ernesto Pérez-Rueda, Sharmilee Sarkar, Aditya Kumar, Scheila de Avila e Silva
2022	A	`conf`	Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis. MSR Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis. CoRR Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	—	`conf`	Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn. MOBILESoft Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn. CoRR Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	—	`conf`	The Unexplored Terrain of Compiler Warnings. ICSE (SEIP) Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	The Unexplored Terrain of Compiler Warnings. CoRR Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	A	`conf`	There Ain't No Such Thing as a Free Custom Memory Allocator. ICSME Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	There Ain't No Such Thing as a Free Custom Memory Allocator. CoRR Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	—	`conf`	When malloc() Never Returns NULL - Reliability as an Illusion. ISSRE Workshops Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2022	J	`jnl`	When malloc() Never Returns NULL - Reliability as an Illusion. CoRR Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi
2021	J	`jnl`	Bipartite molecular approach for species delimitation and resolving cryptic speciation of Comput. Biol. Chem. Chayanika Chaliha, V. Chandra Kaladhar, Robin Doley, Praveen Kumar Verma, Aditya Kumar, Eeshan Kalita
2021	—	`conf`	Distributed State Estimation for Distribution Grid with Sparse Measurements. CDC Aditya Kumar, Reza Ghaemi
2021	—	`conf`	Fog Enabled Distributed Training Architecture for Federated Learning. BDA Aditya Kumar, Satish Narayana Srirama
2021	J	`jnl`	Neural Computing. CoRR Ayushe Gangal, Peeyush Kumar, Sunita Kumari, Aditya Kumar
2021	—	`conf`	Securely Boosting Chain Growth and Confirmation Speed in PoW Blockchains. Blockchain Ovia Seshadri, Vinay J. Ribeiro, Aditya Kumar
2020	A*	`conf`	Certifai: A Toolkit for Building Trust in AI Systems. IJCAI Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh
2020	—	`conf`	Data Adaptive Compressed Sensing using deep neural network for Image recognition. NCC Ronak Gupta, Aditya Kumar, Santanu Chaudhury, Brejesh Lall, Vinay Kaushik
2020	Misc	`conf`	Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis. NSDI Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Balasubramanyan Ashok, Sumit Asthana, Christian Bird, Aditya Kumar
2020	C	`conf`	Scalable Optimal Flexibility Control, modeling and estimation of commercial buildings. ACC Reza Ghaemi, Aditya Kumar, Pierino Bonanni, Nikita Visnevski
2019	J	`jnl`	Clustering case statements for indirect branch predictors. CoRR Evandro Menezes, Sebastian Pop, Aditya Kumar
2017	—	`conf`	Development of a NAO Humanoid based Medical Assistant. AIR Aditya Kumar, Atman Patel, Santosha K. Dwivedy
2017	—	`conf`	Multikernel Simulation: A New Approach to Study Rollback Sensitive Memory Architecture. CIC Priya Chandran, Lakshya Garg, Aditya Kumar
2014	—	`conf`	Face Recognition Using MPCA-EMFDA Based Features Under Illumination and Expression Variations in Effect of Different Classifiers. SIRS Chandan Tripathi, Aditya Kumar, Punit Mittal
2013	—	`conf`	Experiences with Dynamic Binary Translation in a Full System Simulator. IPDPS Workshops Aditya Kumar, Ahmed Gheith, Michael Kistler
2013	J	`jnl`	Fast nonlinear model predictive control: Formulation and industrial process applications. Comput. Chem. Eng. Rodrigo López-Negrete, Fernando J. D'Amato, Lorenz T. Biegler, Aditya Kumar
2012	—	`conf`	An Outer-Approximation based algorithm for solving integer non-linear programming problems for Optimal Sensor Placement. CDC Gayathri Seenumani, Dan Dai, Rodrigo López-Negrete, Aditya Kumar, Mustafa Dokucu, Rajeeva Kumar
2012	—	`conf`	Rejuvenating C++ programs through demacrofication. ICSM Aditya Kumar, Andrew Sutton, Bjarne Stroustrup
2012	—	`conf`	The demacrofier. ICSM Aditya Kumar, Andrew Sutton, Bjarne Stroustrup
2007	C	`conf`	Advanced Estimation for Aircraft Engines. ACC Daniel E. Viassolo, Shreeder Adibhatla, Brent J. Brunell, John H. Down, Nathan S. Gibson, Aditya Kumar, H. Kirk Mathews, Lisa D. Holcomb
2004	B	`conf`	Demonstrating constraints to diversity with a tunably difficult problem for genetic programming. IEEE Congress on Evolutionary Computation Jason M. Daida, Michael E. Samples, Bryan T. Hart, Jeffry Halim, Aditya Kumar
2003	C	`conf`	A model based approach for estimation and control for polymer compounding (April 2003). CCA Aditya Kumar, S. Alper Eker, Paul K. Houpt
1996	J	`jnl`	State-space realizations of linear differential-algebraic-equation systems with control-dependent state space. IEEE Trans. Autom. Control. Aditya Kumar, Prodromos Daoutidis