Publications


Faculty in the AI department at IIT-Hyderabad consistently publish in high-impact, high-visibility conferences and journals in various areas of AI, including ICML, NeurIPS, CVPR, ICCV, ACL, AAAI, IJCAI, ICASSP, InterSpeech, ICIP, etc. Please see below for a list of recent selected publications.


SELECTED PUBLICATIONS
(For a complete list, please see each faculty’s profile)

  1. Anumasa, S., and Srijith, P. K. (2022). Latent Time Neural Ordinary Differential Equations. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 (Vol. 36, pp. 6010–6018). Association for the Advancement of Artificial Intelligence. Link

  2. Arumugam, S., and Desai, S. (2023). Classification of pulsar glitch amplitudes using extreme deconvolution. In Journal of High Energy Astrophysics (Vol. 37, pp. 46–50). Elsevier B.V. Link

  3. Arun Kumar, S., Pal, A., Mopuri, K. R., and Krishna Gorthi, R. (2022). Adv-Cut Paste: Semantic adversarial class specific data augmentation technique for object detection. In Proceedings—International Conference on Pattern Recognition (Vols. 2022-August, pp. 3632–3638). Institute of Electrical and Electronics Engineers Inc. Link

  4. Ashok, A., Devaguptapu, C., and Balasubramanian, V. N. (2022). Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). In Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 (Vol. 36, pp. 12905–12906). Association for the Advancement of Artificial Intelligence. Link

  5. Ashok, A., Joseph, K. J., and Balasubramanian, V. N. (2022). Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 13687 LNCS (pp. 105–122). Springer Science and Business Media Deutschland GmbH. Link

  6. Babu M, N. P., Gawande, M., and Rajalakshmi, P. (2022). Autonomous Emergency Breaking (AEB) Evaluation For Indian Traffic Scenarios using GPS and LiDAR Data. In 2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022 (pp. 655–660). Institute of Electrical and Electronics Engineers Inc. Link

  7. Babu M, N. P., Kumar Duba, P., Sriram, G. C., and Rajalakshmi, P. (2022). Autonomous Bio-Inspired Micro Aerial Vehicle (MAV). In 2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022 (pp. 661–666). Institute of Electrical and Electronics Engineers Inc. Link

  8. Babu, M. N. P., Basa, S., Duba, P. K., and Rajalakshmi, P. (2022). Future Mobility with eVTOL Personal Air Vehicle (PAV): Urban Air Mobility (UAM) Concept. In Lecture Notes in Electrical Engineering: Vol. 893 LNEE (pp. 323–337). Springer Science and Business Media Deutschland GmbH. Link

  9. Bagora, A., Shrestha, K., Maurya, K., and Desarkar, M. S. (2022). Hostility Detection in Online Hindi-English Code-Mixed Conversations. In ACM International Conference Proceeding Series (pp. 390–400). Association for Computing Machinery. Link ">Link

  10. Balasubramanian, V. N. (2022). Toward explainable deep learning. In Communications of the ACM (Vol. 65, Issue 11, pp. 68–69). Association for Computing Machinery. Link

  11. Bansal, R., Collison, S., Krishnan, L., Aggarwal, B., Vidyasagar, M., Kakileti, S. T., and Manjunath, G. (2023). A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to a secondary care hospital. In Frontiers in Artificial Intelligence (Vol. 5). Frontiers Media S.A. Link

  12. Bastos, A., Singh, K., Nadgeri, A., Hoffart, J., Singh, M., and Suzumura, T. (2023). Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? In ACM Web Conference 2023. Proceedings of the World Wide Web Conference, WWW 2023 (pp. 2455–2466). Association for Computing Machinery, Inc. Link

  13. Batreddy, S., Siripuram, A., and Zhang, J. (2023). Robust graph learning for classification. In Signal Processing (Vol. 211). Elsevier B.V. Link

  14. Bhange, P., Joshi, D. K., Pandu, S. K., Mankari, K., Acharyya, S. G., Sridhar, K., and Acharyya, A. (2022). Real-Time Fatigue Crack Growth Rate Estimation Methodology for Structural Health Monitoring of Ships. In IEEE Sensors Journal (Vol. 22, Issue 20, pp. 19729–19738). Institute of Electrical and Electronics Engineers Inc. Link

  15. Bhange, P., Kumar Joshi, D., Acharyya, A., Pandu, S. K., Mankari, K., Acharyya, S. G., and Sridhar, K. (2022). Phase Space Reconstruction Based Real Time Fatigue Crack Growth Estimation for Structural Health Monitoring Ships. In 2022 IEEE 13th Latin American Symposium on Circuits and Systems, LASCAS 2022. Institute of Electrical and Electronics Engineers Inc. Link

  16. Bharath, R., Santhosh Reddy, D., and Rajalakshmi, P. (2022a). A SoC-Based Programmable Portable Ultrasound Scanning System for Point-of-Care Applications and Clinical Research Activities. In SN Computer Science (Vol. 3, Issue 5). Springer. Link

  17. Bharath, R., Santhosh Reddy, D., and Rajalakshmi, P. (2022b). Correction to: A SoC-Based Programmable Portable Ultrasound Scanning System for Point-of-Care Applications and Clinical Research Activities (SN Computer Science, (2022), 3, 5, (349), 10.1007/s42979-022-01241-7). In SN Computer Science (Vol. 3, Issue 5). Springer. Link

  18. Bhatia, P., Sinha, A., Joshi, S. P., Sarkar, R., Ghosh, R., and Jana, S. (2022). Automated Quantification of Inflamed Lung Regions in Chest CT by UNet++ and SegCaps: A Comparative Analysis in COVID-19 Cases. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (Vols. 2022-July, pp. 3785–3788). Institute of Electrical and Electronics Engineers Inc. Link

  19. Bhatt, G., and Balasubramanian, V. N. (2023). Learning Style Subspaces for Controllable Unpaired Domain Translation. In Proceedings—2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023 (pp. 4209–4218). Institute of Electrical and Electronics Engineers Inc. Link

  20. Bhavanam, S. R., Channappayya, S. S., Srijith, P. K., and Desai, S. (2022a). Cosmic Ray Detection in Astronomical Images via Dictionary Learning and Sparse Representation. In European Signal Processing Conference (Vols. 2022-August, pp. 1966–1970). European Signal Processing Conference, EUSIPCO. Link

  21. Bhavanam, S. R., Channappayya, S. S., Srijith, P. K., and Desai, S. (2022b). Cosmic Ray rejection with attention augmented deep learning. In Astronomy and Computing (Vol. 40). Elsevier B.V. Link

  22. Bhave, A., Kulkarni, S., Desai, S., and Srijith, P. K. (2022). Two dimensional clustering of Gamma-Ray Bursts using durations and hardness. In Astrophysics and Space Science (Vol. 367, Issue 4). Springer Science and Business Media B.V. Link

  23. Burnwal, S. P., and Vidyasagar, M. (2022). Modified Error Bounds for Matrix Completion and Application to RL. In IEEE Control Systems Letters (Vol. 6, pp. 1916–1921). Institute of Electrical and Electronics Engineers Inc. Link

  24. Burnwal, S. P., Sinha, K., and Vidyasagar, M. (2022). New and explicit constructions of unbalanced Ramanujan bipartite graphs. In Ramanujan Journal (Vol. 57, Issue 3, pp. 1043–1069). Springer. Link

  25. Chalavadi, V., Jeripothula, P., Datla, R., Ch, S. B., and C, K. M. (2022). mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions. In Pattern Recognition (Vol. 126). Elsevier Ltd. Link

  26. Chandra, D. S., Varshney, S., Srijith, P. K., and Gupta, S. (2023). Continual Learning with Dependency Preserving Hypernetworks. In Proceedings—2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023 (pp. 2338–2347). Institute of Electrical and Electronics Engineers Inc. Link

  27. Chandrakanth, V., Channappayya, S. S., and Singh, S. (2022). Multi-Channel Radar Signal Processor Design for Detection of Multiple Manoeuvring Targets. In Proceedings International Radar Symposium (Vols. 2022-September, pp. 57–62). IEEE Computer Society. Link

  28. Chandrakanth, V., Murthy, V. S. N., and Channappayya, S. S. (2022). UAV-based autonomous detection and tracking of beyond visual range (BVR) non-stationary targets using deep learning. In Journal of Real-Time Image Processing (Vol. 19, Issue 2, pp. 345–361). Springer Science and Business Media Deutschland GmbH. Link

  29. Chandrakanth, V., Murthy, V. S. N., and Channappayya, S. S. (2023). Siamese Cross-Domain Tracker Design for Seamless Tracking of Targets in RGB and Thermal Videos. In IEEE Transactions on Artificial Intelligence (Vol. 4, Issue 1, pp. 161–172). Institute of Electrical and Electronics Engineers Inc. Link

  30. Das, S., Dhamal, S., Ghalme, G., Jain, S., and Gujar, S. (2022a). Individual Fairness in Feature-Based Pricing for Monopoly Markets. In Proceedings of Machine Learning Research (Vol. 180, pp. 486–495). ML Research Press. Link

  31. Das, S., Dhamal, S., Ghalme, G., Jain, S., and Gujar, S. (2022b). Individual Fairness in Feature-Based Pricing for Monopoly Markets. In Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022 (pp. 486–495). Association For Uncertainty in Artificial Intelligence (AUAI). Link

  32. Dash, S., Balasubramanian, V. N., and Sharma, A. (2022). Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 3879–3888). Institute of Electrical and Electronics Engineers Inc. Link

  33. Dayal, A., Aishwarya, M., Abhilash, S., Mohan, C. K., Kumar, A., and Cenkeramaddi, L. R. (2023). Adversarial Unsupervised Domain Adaptation for Hand Gesture Recognition Using Thermal Images. In IEEE Sensors Journal (Vol. 23, Issue 4, pp. 3493–3504). Institute of Electrical and Electronics Engineers Inc. Link

  34. De, A., and Desarkar, M. S. (2022). Multi-Context Based Neural Approach for COVID-19 Fake-News Detection. In WWW 2022—Companion Proceedings of the Web Conference 2022 (pp. 852–859). Association for Computing Machinery, Inc. Link

  35. De, A., Gudipudi, S. S., Panchanan, S., and Desarkar, M. S. (2023). ComplAI: Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models. In Proceedings of the ACM Symposium on Applied Computing (pp. 1096–1099). Association for Computing Machinery. Link

  36. Dey, S., Kummara, R., and Desarkar, M. S. (2022). Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 2, pp. 318–324). Association for Computational Linguistics (ACL). Link

  37. Dittakavi, B., Bavikadi, D., Desai, S. V., Chakraborty, S., Reddy, N., Balasubramanian, V. N., Callepalli, B., and Sharma, A. (2022). Pose Tutor: An Explainable System for Pose Correction in the Wild. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vols. 2022-June, pp. 3539–3548). IEEE Computer Society. Link

  38. Dubey, M., Palakkadavath, R., and Srijith, P. K. (2023). Event Uncertainty using Ensemble Neural Hawkes Process. In ACM International Conference Proceeding Series (pp. 228–232). Association for Computing Machinery. Link

  39. Garg, P., Saluja, R., Balasubramanian, V. N., Arora, C., Subramanian, A., and Jawahar, C. V. (2022). Multi-Domain Incremental Learning for Semantic Segmentation. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 2080–2090). Institute of Electrical and Electronics Engineers Inc. Link

  40. Ghalme, G., Nair, V., Patil, V., and Zhou, Y. (2022). Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS (Vol. 1, pp. 525–533). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). Link

  41. Ghosh, S., Maji, S., and Desarkar, M. S. (2022a). Effective Utilization of Labeled Data from Related Tasks Using Graph Contrastive Pretraining. In Proceedings of the ACM Symposium on Applied Computing (pp. 875–878). Association for Computing Machinery. Link

  42. Ghosh, S., Maji, S., and Desarkar, M. S. (2022b). GNoM: Graph Neural Network Enhanced Language Models for Disaster Related Multilingual Text Classification. In ACM International Conference Proceeding Series (pp. 55–65). Association for Computing Machinery. Link

  43. Ghosh, S., Maji, S., and Desarkar, M. S. (2023). Unsupervised Domain Adaptation with Global and Local Graph Neural Networks under Limited Supervision and Its Application to Disaster Response. In IEEE Transactions on Computational Social Systems (Vol. 10, Issue 2, pp. 551–562). Institute of Electrical and Electronics Engineers Inc. Link

  44. Giridhar, P., Ramesh, G., and Murty, K. S. R. (2023). A non-linear source-filter based vocoder with prosody control. In 2023 National Conference on Communications, NCC 2023. Institute of Electrical and Electronics Engineers Inc. Link

  45. Gowriprasad, R., Venkatesh, V., and Murty K, S. R. (2022). Tabla Gharānā Recognition from Tabla Solo Recordings. In 2022 National Conference on Communications, NCC 2022 (pp. 59–63). Institute of Electrical and Electronics Engineers Inc. Link

  46. Gunapati, G., Jain, A., Srijith, P. K., and Desai, S. (2022). Variational inference as an alternative to MCMC for parameter estimation and model selection. In Publications of the Astronomical Society of Australia (Vol. 39). Cambridge University Press. Link

  47. Gundlapalle, V., and Acharyya, A. (2022). A Novel Single Lead to 12-Lead ECG Reconstruction Methodology Using Convolutional Neural Networks and LSTM. In 2022 IEEE 13th Latin American Symposium on Circuits and Systems, LASCAS 2022. Institute of Electrical and Electronics Engineers Inc. Link

  48. Gupta, M., and Jayaram, B. (2022). Fuzzy compatibility relations and pseudo-monometrics: Some correspondences. In Fuzzy Sets and Systems (Vol. 451, pp. 342–360). Elsevier B.V. Link

  49. Gupta, R., Srijith, P. K., and Desai, S. (2022). Galaxy morphology classification using neural ordinary differential equations. In Astronomy and Computing (Vol. 38). Elsevier B.V. Link

  50. Gupta, S., Ghalme, G., Krishnan, N. C., and Jain, S. (2023). Efficient algorithms for fair clustering with a new notion of fairness. In Data Mining and Knowledge Discovery. Springer. Link

  51. Gupta, V. K., and Jayaram, B. (2023a). Clifford’s order obtained from uninorms on bounded lattices. In Fuzzy Sets and Systems (Vol. 462). Elsevier B.V. Link

  52. Gupta, V. K., and Jayaram, B. (2023b). On the Pecking Order between Those of Mitsch and Clifford. In Mathematica Slovaca (Vol. 73, Issue 3, pp. 565–582). De Gruyter Open Ltd. Link

  53. Inapakurthi, R. K., and Mitra, K. (2022c). System Identification and Process Modelling of Dynamic Systems Using Machine Learning. In 2022 26th International Conference on System Theory, Control and Computing, ICSTCC 2022—Proceedings (pp. 564–569). Institute of Electrical and Electronics Engineers Inc. Link

  54. Inoue, T., Nakagawa, Y., Wada, R., Miyoshi, K., Abe, S., Kuroda, K., Nishi, M., Bilen, H., and Mopuri, K. R. (2022). Early Stuck Detection Using Supervised and Unsupervised Machine Learning Approaches. In Offshore Technology Conference Asia, OTCA 2022. Offshore Technology Conference. Link

  55. Jain, A., Das, P., and Acharyya, A. (2022). Artificial Neural Network Based Post-CTS QoR Report Prediction. In Proceedings—IEEE International Symposium on Circuits and Systems (Vols. 2022-May, pp. 682–686). Institute of Electrical and Electronics Engineers Inc. Link

  56. Jain, S., and Srijith, P. K. (2023). Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation. In ACM International Conference Proceeding Series (p. 138). Association for Computing Machinery. Link

  57. Jandial, S., Khasbage, Y., Pal, A., Balasubramanian, V. N., and Krishnamurthy, B. (2022). Distilling the Undistillable: Learning from a Nasty Teacher. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 13673 LNCS (pp. 587–603). Springer Science and Business Media Deutschland GmbH. Link

  58. Jandial, S., Khasbage, Y., Pal, A., Krishnamurthy, B., and Balasubramanian, V. N. (2023). RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. In ACM International Conference Proceeding Series (pp. 10–18). Association for Computing Machinery. Link

  59. Jayanth Krishnan, K., and Mitra, K. (2022). A modified Kohonen map algorithm for clustering time series data. In Expert Systems with Applications (Vol. 201). Elsevier Ltd. Link

  60. Joseph, K. J., Khan, S., Khan, F. S., Anwer, R. M., and Balasubramanian, V. N. (2022). Energy-based Latent Aligner for Incremental Learning. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vols. 2022-June, pp. 7442–7451). IEEE Computer Society. Link

  61. Joseph, K. J., Paul, S., Aggarwal, G., Biswas, S., Rai, P., Han, K., and Balasubramanian, V. N. (2022a). Novel Class Discovery Without Forgetting. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 13684 LNCS (pp. 570–586). Springer Science and Business Media Deutschland GmbH. Link

  62. Joseph, K. J., Paul, S., Aggarwal, G., Biswas, S., Rai, P., Han, K., and Balasubramanian, V. N. (2022b). Spacing Loss for Discovering Novel Categories. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vols. 2022-June, pp. 3760–3765). IEEE Computer Society. Link

  63. Joseph, K. J., Rajasegaran, J., Khan, S., Khan, F. S., and Balasubramanian, V. N. (2022). Incremental Object Detection via Meta-Learning. In IEEE Transactions on Pattern Analysis and Machine Intelligence (Vol. 44, Issue 12, pp. 9209–9216). IEEE Computer Society. Link

  64. Joshi, A., Vishnu, C., and Mohan, C. K. (2022). Early detection of earthquake magnitude based on stacked ensemble model. In Journal of Asian Earth Sciences: X (Vol. 8). Elsevier Ltd. Link

  65. Joshi, D., Yadao, S., Bhange, P., Sunil Kumar, P., Mankari, K., Acharyya, A., and Ghosh Acharyya, S. (2022). FCNet: Deep Learning Architecture for Classification of Fatigue and Corrosion Acoustic Emission Signal. In 20th IEEE International Interregional NEWCAS Conference, NEWCAS 2022—Proceedings (pp. 538–541). Institute of Electrical and Electronics Engineers Inc. Link

  66. Kakileti, S. T., Shrivastava, R., Manjunath, G., Vidyasagar, M., and Graewingholt, A. (2022). Automated vascular analysis of breast thermograms with interpretable features. In Journal of Medical Imaging (Vol. 9, Issue 4). SPIE. Link

  67. Kalithasan, N., Gupta, M., and Jayaram, B. (2022). Making Fractional Distances work in the presence of White Noise—Motivation and Challenges. In ACM International Conference Proceeding Series (pp. 294–295). Association for Computing Machinery. Link

  68. Kamath, S., Deshpande, A., Subrahmanyam, K. V., and Balasubramanian, V. N. (2022). Universalization of Any Adversarial Attack using Very Few Test Examples. In ACM International Conference Proceeding Series (pp. 72–80). Association for Computing Machinery. Link

  69. Kandiyal, H., and Sastry, C. S. (2022). Kernels for Incoherent Projection and Orthogonal Matching Pursuit. In Communications in Computer and Information Science: Vol. 1567 CCIS (pp. 398–406). Springer Science and Business Media Deutschland GmbH. Link

  70. Keswani, M., Ramakrishnan, S., Reddy, N., and Balasubramanian, V. N. (2022). Proto2Proto: Can you recognize the car, the way I do? In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vols. 2022-June, pp. 10223–10233). IEEE Computer Society. Link

  71. Khargharia, H. S., Jayaraman, P. P., Banerjee, A., Zaslavsky, A., Hassani, A., Abken, A., and Kumar, A. (2022). Probabilistic analysis of context caching in Internet of Things applications. In Proceedings—2022 IEEE International Conference on Services Computing, SCC 2022 (pp. 93–103). Institute of Electrical and Electronics Engineers Inc. Link

  72. Khindkar, V., Arora, C., Balasubramanian, V. N., Subramanian, A., Saluja, R., and Jawahar, C. V. (2022). To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 376–386). Institute of Electrical and Electronics Engineers Inc. Link

  73. Koidala, S. P., Manne, S. R., Ozimba, K., Rasheed, M. A., Bashar, S. B., Ibrahim, M. N., Selvam, A., Sahel, J. A., Chhablani, J., Jana, S., and Vupparaboina, K. K. (2023). Deep learning based diagnostic quality assessment of choroidal OCT features with expert-evaluated explainability. In Scientific Reports (Vol. 13, Issue 1). Nature Research. Link

  74. Kranthi Kumar, P., and Detroja, K. P. (2022). Parameterized Adaptive Controller Design using Reinforcement Learning and Deep Neural Networks. In 2022 8th Indian Control Conference, ICC 2022—Proceedings (pp. 121–126). Institute of Electrical and Electronics Engineers Inc. Link

  75. Kranthi Kumar, P., and Detroja, K. P. (2023). Design of Reinforcement Learning based PI controller for nonlinear Multivariable System. In 2023 European Control Conference, ECC 2023. Institute of Electrical and Electronics Engineers Inc. Link

  76. Kuchibhotla, H. C., Malagi, S. S., Chandhok, S., and Balasubramanian, V. N. (2022). Unseen Classes at a Later Time? No Problem. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vols. 2022-June, pp. 9235–9244). IEEE Computer Society. Link

  77. Kumar, N. T. S., Gawande, M., Babu, M. N. P., Verma, H., and Rajalakshmi, P. (2022). Mobile Robot Terrain Mapping for Path Planning using Karto Slam and Gmapping Technique. In 2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022. Institute of Electrical and Electronics Engineers Inc. Link

  78. Kumar, P., Kumar, R., Kumar, A., Franklin, A. A., Garg, S., and Singh, S. (2022). Blockchain and Deep Learning for Secure Communication in Digital Twin Empowered Industrial IoT Network. In IEEE Transactions on Network Science and Engineering (pp. 1–13). IEEE Computer Society. Link

  79. Madisetty, S., and Desarkar, M. S. (2022). A reranking-based tweet retrieval approach for planned events. In World Wide Web (Vol. 25, Issue 1, pp. 23–47). Springer. Link

  80. Mahankali, N. S., Raghavan, M., and Channappayya, S. S. (2022). No-Reference Video Quality Assessment Using Voxel-Wise fMRI Models of the Visual Cortex. In IEEE Signal Processing Letters (Vol. 29, pp. 319–323). Institute of Electrical and Electronics Engineers Inc. Link

  81. Mandal, S., and Jayaram, B. (2023). BKS Fuzzy Inference Employing h-Implications. In Forum for Interdisciplinary Mathematics (pp. 123–138). Springer. Link

  82. Mangla, P., Chandhok, S., Balasubramanian, V. N., and Khan, F. S. (2022). COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 1618–1627). Institute of Electrical and Electronics Engineers Inc. Link

  83. Mangla, P., Kumari, N., Singh, M., Krishnamurthy, B., and Balasubramanian, V. N. (2022). Data InStance Prior (DISP) in Generative Adversarial Networks. In Proceedings—2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 3471–3481). Institute of Electrical and Electronics Engineers Inc. Link

  84. Manoj, A., Miriyala, S. S., and Mitra, K. (2022). Multi-objective Bayesian Optimization for Computationally Expensive Reaction Network Models. In 2022 8th Indian Control Conference, ICC 2022—Proceedings (pp. 428–433). Institute of Electrical and Electronics Engineers Inc. Link

  85. Manoj, A., Miriyala, S. S., and Mitra, K. (2023). Multi-objective optimization through a novel Bayesian approach for industrial manufacturing of Polyvinyl Acetate. In Materials and Manufacturing Processes. Taylor and Francis Ltd. Link

  86. Manupriya, P., Menta, T. R., Saketha Nath, J., and Balasubramanian, V. N. (2022). Improving Attribution Methods by Learning Submodular Functions. In Proceedings of Machine Learning Research (Vol. 151, pp. 2173–2190). ML Research Press. Link

  87. Maurya, K. K., and Desarkar, M. S. (2022). Meta-XNLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 269–284). Association for Computational Linguistics (ACL). Link

  88. Miriyala, S. S., Inapakurthi, R., and Mitra, K. (2022). Nonlinear system identification of environmental pollutants using recurrent neural networks and Global Sensitivity Analysis. In Statistical Modeling in Machine Learning: Concepts and Applications. Elsevier. Link

  89. Miriyala, S. S., Jadhav, P. D., Banerjee, R., and Mitra, K. (2022). Artificial intelligence–based uncertainty quantification technique for external flow computational fluid dynamic (CFD) simulations. In Statistical Modeling in Machine Learning: Concepts and Applications. Elsevier. Link

  90. Miriyala, S. S., Pujari, K. N., Naik, S., and Mitra, K. (2022). Evolutionary neural architecture search for surrogate models to enable optimization of industrial continuous crystallization process. In Powder Technology (Vol. 405). Elsevier B.V. Link

  91. Modi, A., Rajanala, S., and Singh, M. (2022). DACE: Did I Catch You at a Good Time? In Communications in Computer and Information Science: Vol. 1716 CCIS (pp. 313–326). Springer Science and Business Media Deutschland GmbH. Link

  92. Mopuri, K. R., Bilen, H., Tsuchihashi, N., Wada, R., Inoue, T., Kusanagi, K., Nishiyama, T., and Tamamura, H. (2022). Early sign detection for the stuck pipe scenarios using unsupervised deep learning. In Journal of Petroleum Science and Engineering (Vol. 208). Elsevier B.V. Link

  93. Nag, S., Makwana, D., R, S. C. T., Mittal, S., and Mohan, C. K. (2022). WaferSegClassNet—A light-weight network for classification and segmentation of semiconductor wafer defects. In Computers in Industry (Vol. 142). Elsevier B.V. Link

  94. Nair, V., Ghalme, G., Talgam-Cohen, I., and Rosenfeld, N. (2022). Strategic Representation. In Proceedings of Machine Learning Research (Vol. 162, pp. 16331–16352). ML Research Press. Link

  95. Najiya, K. Z., and Sastry, C. S. (2023). Analysis of general weights in weighted ℓ1−2 minimization through applications. In Digital Signal Processing: A Review Journal (Vol. 133). Elsevier Inc. Link

  96. Najiya, K. Z., Sonkar, M., and Sastry, C. S. (2022). Local Recovery Bounds for Prior Support Constrained Compressed Sensing. In Mathematical Notes (Vol. 111, Issues 1–2, pp. 93–102). Pleiades journals. Link

  97. Nanavati, K., and Jayaram, B. (2022). On the Order-Compatibility of Fuzzy Logic Connectives on the Generated Clifford Poset. In Communications in Computer and Information Science: Vol. 1601 CCIS (pp. 714–725). Springer Science and Business Media Deutschland GmbH. Link

  98. Nanavati, K., and Jayaram, B. (2023). Order from non-associative operations. In Fuzzy Sets and Systems (Vol. 467). Elsevier B.V. Link

  99. Nanavati, K., Gupta, M., and Jayaram, B. (2022). Monodistances from Fuzzy Implications. In Communications in Computer and Information Science: Vol. 1601 CCIS (pp. 169–181). Springer Science and Business Media Deutschland GmbH. Link

  100. Nanavati, K., Gupta, M., and Jayaram, B. (2023). Pseudo-monometrics from fuzzy implications. In Fuzzy Sets and Systems (Vol. 466). Elsevier B.V. Link

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