Efficient baseband processing system for DVB-RCS to DVB-S2 onboard processing satellite. - Anurag Das; Rajat Arora; T. V. S. Ram (ICACCI, 2016)

Classification of story-telling and poem recitation using head gesture of the talker. - C. A. Valliappan; Anurag Das; Prasanta Kumar Ghosh (SPCOM, 2018)

A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection. - Anurag Das; Samuel A. Ajila; Chung-Horng Lung (MLN, 2019)

Noise robust goodness of pronunciation measures using teacher's utterance. - Sweekar Sudhakara; Manoj Kumar Ramanathi; Chiranjeevi Yarra; Anurag Das; Prasanta Kumar Ghosh (SLaTE, 2019)

Understanding the Effect of Voice Quality and Accent on Talker Similarity. - Anurag Das; Guanlong Zhao; John Levis; Evgeny Chukharev-Hudilainen; Ricardo Gutierrez-Osuna (INTERSPEECH, 2020)

A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals. - Michael Yang; Projna Paromita; Theodora Chaspari; Anurag Das; Seyedhooman Sajjadi; Bobak J. Mortazavi; Ricardo Gutierrez-Osuna (BHI, 2021)

(SP)2Net for Generalized Zero-Label Semantic Segmentation. - Anurag Das; Yongqin Xian; Yang He 005; Bernt Schiele; Zeynep Akata (GCPR, 2021)

A Sparse Coding Approach to Automatic Diet Monitoring with Continuous Glucose Monitors. - Anurag Das; Seyedhooman Sajjadi; Bobak Mortazavi; Theodora Chaspari; Projna Paromita; Laura Ruebush; Nicolaas E. P. Deutz; Ricardo Gutierrez-Osuna (ICASSP, 2021)

Towards The Development of Subject-Independent Inverse Metabolic Models. - Seyedhooman Sajjadi; Anurag Das; Ricardo Gutierrez-Osuna; Theodora Chaspari; Projna Paromita; Laura E. Ruebush; Nicolaas E. P. Deutz; Bobak J. Mortazavi (ICASSP, 2021)

Personalized Meal Classification Using Continuous Glucose Monitors. - Projna Paromita; Theodora Chaspari; Seyedhooman Sajjadi; Anurag Das; Bobak J. Mortazavi; Ricardo Gutierrez-Osuna (IUI Workshops, 2021)

Modeling Individual Differences in Food Metabolism through Alternating Least Squares. - Anurag Das; Bobak Mortazavi; Nicolaas E. P. Deutz; Ricardo Gutierrez-Osuna (EMBC, 2022)

Zero-Shot Foreign Accent Conversion without a Native Reference. - Waris Quamer; Anurag Das; John Levis; Evgeny Chukharev-Hudilainen; Ricardo Gutierrez-Osuna (INTERSPEECH, 2022)

Analysis of error-based machine learning algorithms in network anomaly detection and categorization. - Samuel A. Ajila; Chung-Horng Lung; Anurag Das (Ann. des Télécommunications, 2022)

Predicting the Macronutrient Composition of Mixed Meals From Dietary Biomarkers in Blood. - Anurag Das; Bobak Mortazavi; Seyedhooman Sajjadi; Theodora Chaspari; Laura E. Ruebush; Nicolaas E. P. Deutz; Gerard L. Coté; Ricardo Gutierrez-Osuna (IEEE J. Biomed. Health Informatics, 2022)

Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation. - Lida Zhang; Sicong Huang 002; Anurag Das; Edmund Do; Namino Glantz; Wendy Bevier; Rony Santiago; David Kerr; Ricardo Gutierrez-Osuna; Bobak J. Mortazavi (BHI, 2023)

Modeling the effect of non-exercise activity on peak post-prandial glucose in diabetes. - Edmund Do; Anurag Das; Namino Glanz; Wendy Bevier; Rony Santiago; David Kerr; Ricardo Gutierrez-Osuna; Bobak J. Mortazavi (BSN, 2023)

Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. - Anurag Das; Yongqin Xian; Dengxin Dai; Bernt Schiele (CVPR, 2023)

Decoupling Segmental and Prosodic Cues of Non-native Speech through Vector Quantization. - Waris Quamer; Anurag Das; Ricardo Gutierrez-Osuna (INTERSPEECH, 2023)

Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. - Anurag Das; Yongqin Xian; Yang He 005; Zeynep Akata; Bernt Schiele (WACV, 2023)

Macronutrient Constraints and Priors Improve Carbohydrate Predictions from Continuous Glucose Monitors. - Anurag Das; Edmund Do; Namino Glanz; Wendy Bevier; Rony Santiago; David Kerr; Bobak J. Mortazavi; Ricardo Gutierrez-Osuna (BSN, 2024)

MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment. - Anurag Das; Xinting Hu; Li Jiang 009; Bernt Schiele (ECCV (54), 2024)

Improving 2D Feature Representations by 3D-Aware Fine-Tuning. - Yuanwen Yue; Anurag Das; Francis Engelmann; Siyu Tang 001; Jan Eric Lenssen (ECCV (2), 2024)

Data-Driven Cricket: A Machine Learning Approach to IPL Score Prognostication. - S. Lalitha; Anurag Das; Prasanth Ayitapu; Rohit S. Nair; Satvik Raghav (ICCCNT, 2024)

Improving Mispronunciation Detection Using Speech Reconstruction. - Anurag Das; Ricardo Gutierrez-Osuna (IEEE ACM Trans. Audio Speech Lang. Process., 2024)