R. Dutta Baruah and Mario Muñoz Organero, Explicit Context Integrated Recurrent Neural Network for applications in smart environments, Expert Systems with Applications, Volume 255, Part D, 124752, ISSN 0957-4174, 2024.

S. Kumar, A. Sur and R. Dutta Baruah, "DatUS: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer," in IEEE Transactions on Cognitive and Developmental Systems, 2024.

P. Saikia, R. Dutta Baruah, "GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data". Neural Computing & Applications, 36, 7799–7816, 2024. 

P. Saikia, R. Dutta Baruah, "Stacked ensemble model for reservoir characterisation to predict log properties from seismic signals", Computational Geosciences 27, 1067–1086, 2023. 

A. M. Tripathi, R. Dutta Baruah, and Senthilmurugan S., "Oilwell Drilling Activities Recognition Using a Hierarchical Classifier", Journal of Petroleum Science and Engineering, Elsevier, Volume 196, Pages107883, January 2021.

P. Saikia, R. Dutta Baruah, Sanjay Kumar Singh, and P.K. Chaudhuri, "Artificial Neural Networks in the Domain of Reservoir Characterisation: A Review from Shallow to Deep Models", SEG Geophysics , Elsevier, Volume 135, 104357, Feb 2020.

R. Dutta Baruah, P. Angelov, "DEC: Dynamically Evolving Clustering and its Application to Structure Identification of Evolving Fuzzy Models", IEEE Transactions on Systems, Man, and Cybernetics, vol. 44, no.9, pp.1619-1631, 2014.

R. Dutta Baruah and P. Angelov, "Analysis of Evolving Social Network: Methods and Results from Cell Phone Data Set Case Study", International Journal of Social Network Mining, Inderscience Publisher, vol. 1, issue 13, pp. 254-279, 2013.

R. Dutta Baruah and P. Angelov, "Evolving fuzzy systems for data streams: a survey," Wiley interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 1, pp. 461-476, 2011.

P. Saikia, D.  Nankani,  R. Dutta Baruah, 'Machine learning paradigm for predicting reservoir property: an exploratory analysis' (Computing, 2023), 'Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges', Chap. 10, pp. 149-174.

D. Nankani, and R. Dutta Baruah, "Improved Diagnostic Performance of Arrhythmia Classification Using Conditional GAN Augmented Heartbeats", In: Razavi-Far, R., Ruiz-Garcia, A., Palade, V., Schmidhuber, J. (eds) Generative Adversarial Learning: Architectures and Applications. Intelligent Systems Reference Library, vol 217. Springer, Cham. 2022. 

R. Dutta Baruah and D. Baruah, "Modelling Fuzzy Rule-based Systems," Handbook of Computational Intelligence, Volume 1, edited by P.P. Angelov, World Scientific Publishing, 30 June 2016.

S. Kumar, A. Sur, R.D. Baruah, "GraPix: Exploring Graph Modularity Optimization for Unsupervised Pixel Clustering", In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, CL., Bhattacharya, S., Pal, U. (eds) Pattern Recognition, ICPR 2024, Lecture Notes in Computer Science, vol 15310, Springer, Cham. 

R. D. Baruah and M. M. Organero, "A brief Review on the Role of Context in Explainable AI," 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), Madrid, Spain, 2024, pp. 1-6.

R. Dutta Baruah and M. Muñoz-Organero, "Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction",  In: Ifrim, G., et al. Advanced Analytics and Learning on Temporal Data. AALTD 2023 (@ ECML 2023),  Lecture Notes in Computer Science, vol 14343. Springer, Cham.  

R. Dutta Baruah and M. M. Organero, "Integrating Explicit Contexts with Recurrent Neural Networks for Improving Prognostic Models," 2023 IEEE Aerospace Conference, Big Sky, MT, USA, 2023, pp. 1-8.

D. Nankani and R. Dutta Baruah, "Atrial Fibrillation Classification and Prediction Explanation using Transformer Neural Network," 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, pp. 01-08, 

D. Nankani, S. Maurya, R. Dutta Baruah, "Model Compression Techniques for Atrial Fibrillation Detection on Mobile Devices", In: Ghosh, A., King, I., Bhattacharyya, M., Sankar Ray, S., K. Pal, S. (eds) Pattern Recognition and Machine Intelligence, PReMI 2021, Lecture Notes in Computer Science, vol 13102. Springer, Cham. 

D. Nankani and R. Dutta Baruah, "Ventricular Arrhythmia Classification and Interpretation Using Residual Neural Network with Guided Backpropagation," TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON), Auckland, New Zealand, 2021, pp. 574-579. 

D. Nankani, B. Parabattina, R. Dutta Baruah and P. K. Das, "R-Peak Detection from ECG Signals Using Fractal Based Mathematical Morphological Operators," TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON), Auckland, New Zealand, 2021, pp. 225-230.

D. Nankani and R. Dutta Baruah, "Incorporating Demographic and Heartbeat Features with Multichannel ECG for Cardiac Abnormality Detection using Parallel CNN and GAP Network," 2021 Computing in Cardiology (CinC), Brno, Czech Republic, 2021, pp. 1-4.

M. Mikusova, A. Fuchs, R. Dutta Baruah, et al. "Towards Layer-Wise Optimization of Contextual Neural Networks with Constant Field of Aggregation" In: Nguyen, N.T., Chittayasothorn, S., Niyato, D., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2021. Lecture Notes in Computer Science, vol 12672, Springer, Cham. 

D. Nankani, P. Saikia and R. Dutta Baruah, "Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks," 2020 Computing in Cardiology, Rimini, Italy, 2020, pp. 1-4, doi: 10.22489/CinC.2020.424. 

D. Nankani, R. Dutta Baruah, "Effective Removal of Baseline Wander from ECG Signals: A Comparative Study",  In: Bhattacharjee, A., Borgohain, S., Soni, B., Verma, G., Gao, XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1241. 2020, Springer, Singapore.

D. Nankani and R. Dutta Baruah, "Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation," 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020, pp. 1-8.

S. Sonia and R. Dutta Baruah, "Transfer Learning in Smart Home Scenario," 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020, pp. 1-8.

A. M. Tripathi and R. Dutta Baruah, "Acoustic Event Detection Using Fuzzy Integral Ensemble and Oriented Fuzzy Local Binary Pattern Encoded CNN," 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, UK, 2020, pp. 1-8.

P. Saikia, D. Nankani and R. D. Baruah, "Reservoir Facies Classification using Convolutional Neural Networks," 2019 IEEE Recent Advances in Geoscience and Remote Sensing : Technologies, Standards and Applications (TENGARSS), Kochi, India, 2019, pp. 34-38.

 D. Nankani and R. Dutta Baruah, "An End-to-End framework for automatic detection of Atrial Fibrillation using Deep Residual Learning," TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), Kochi, India, 2019, pp. 690-695.

P. Saikia and R. D. Baruah, "Investigating Stacked Ensemble Model for Oil Reservoir Characterisation," 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy, 2019, pp. 13-20.

A. M. Tripathi and R. D. Baruah, "Anomaly Detection in Multivariate Time Series Using Fuzzy AdaBoost and Dynamic Naive Bayesian Classifier," 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy, 2019, pp. 1938-1944.

A. M. Tripathi and R. Dutta Baruah, "Incremental Cauchy Non-Negative Matrix Factorization and Fuzzy Rule-based Classifier for Acoustic Source Separation," 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, USA, 2019.

G. Nakum, P. Guha, P. and R.D. Baruah, "Visual Object Tracking Using Perceptron Forests and Optical Flow", In: Deka, B., Maji, P., Mitra, S., Bhattacharyya, D., Bora, P., Pal, S. (eds) Pattern Recognition and Machine Intelligence, PReMI 2019, Lecture Notes in Computer Science, vol 11942, Springer, Cham.  

P. Saikia, D. Nankani, R.D. Baruah, 'Seismic Signal Interpretation for Reservoir Facies Classification" In: Deka, B., Maji, P., Mitra, S., Bhattacharyya, D., Bora, P., Pal, S. (eds) Pattern Recognition and Machine Intelligence, PReMI 2019. Lecture Notes in Computer Science, vol 11942, Springer, Cham. 

P. Saikia, P. Vij, and R. Dutta Baruah, "Unsupervised Pre-training on Improving the Performance of Neural Network in Regression", in proceedings of International Joint Conference on Neural Networks (IJCNN), July 8-12, 2018, Rio de Janeiro, Brazil, pp. 01-06.

P. Saikia and R. Dutta Baruah, "An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems", in proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), November 18-21, 2018, Bengaluru, India, pp. 342-349.

Sonia, Prateek Vij, and R. Dutta Baruah, "An Experience of Multi-Sensors Robot for Adaptive Human Sensing", in proceedings of IEEE Symposium Series on Computational Intelligence (SSCI) , November 18-21,  2018, Bengaluru, India.

Sonia, R. Dutta Baruah, Shivashankar B. Nair, "A Reward and Penalty Based Approach for Online Feature Selection. CYBCONF 2017", in Proceedings of IEEE International Conference on Cybernetics, June 21-23, 2017, Exeter, UK pp.1-6.

R. Dutta Baruah, M. Singh, D. Baruah, I. S. Misra, "Predicting activity occurrence time in smart homes with evolving fuzzy models", in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 9-12, 2017, Naples, Italy, pp.1-5.

A.M. Tripathi, R. Dutta Baruah, "Acoustic event classification using Cauchy Non-negative matrix factorization and fuzzy rule-based classifier", in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 9-12, 2017, Naples, Italy, pp.1-6.

Sonia, Shivashankar B. Nair, R. Dutta Baruah, "An immune-inspired online feature selection mechanism. IEEE International Conference on Systems", in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC2017), Banff, Oct 5-8, Canada, pp.2123-2128.

Sonia, Manish Singh, R. Dutta Baruah, Shivashankar B. Nair: "A Voting-Based Sensor Fusion Approach for Human Presence Detection", in Proceedings of International conference on Intelligent Human Computer Interaction (IHCI), Dec 12-13, 2016, Pilani, India, pp.195-206.

A.M. Tripathi, R. Dutta Baruah, "Anomaly Detection in Data Streams Based on Graph Coloring Density Coefficients", in Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), Dec 6-9, 2016, Athens, Greece, pp.1-7.

A.M. Tripathi, D. Baruah, R. Dutta Baruah, "Acoustic Event Classification Using Ensemble of One-Class Classifiers for Monitoring Application", in Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), Dec 7-10, 2015, Cape Town, South Africa, pp.1681-1686.

A.M. Tripathi, D. Baruah, R. Dutta Baruah, "Acoustic sensor based activity recognition using ensemble of one-class classifiers", in Proceedings of IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) , Dec 1-3, 2015, Duoai, France, pp.1-7.

Sonia, A.M. Tripathi, R. Dutta Baruah, S.B.Nair, "Ultrasonic sensor-based human detector using one-class classifiers", in Proceedings of IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) , Dec 1-3, 2015, Duoai, France, pp.1-6.

R. Dutta Baruah, P. Angelov, Diganta Baruah,"Dynamically evolving fuzzy classifier for real-time classification of data streams", in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 6-11, 2014, Beijing, China, pp.383-389.

R. Dutta Baruah, P. Angelov, Diganta Baruah,"Dynamically evolving clustering for data streams," in Proceedings of IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) June 2-4,2014, Linz, Austria, pp. 1-6.

R. Dutta Baruah, P. Angelov, "Online Learning and Prediction of Data streams using Dynamically Evolving Fuzzy Approach", in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 7-10, 2013, Hyderabad, India, pp. 1-8.

R. D. Baruah and P. Angelov, "Evolving social network analysis: A case study on mobile phone data," 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, Madrid, Spain, 2012, pp. 114-120.

J. Andreu, R. Dutta Baruah, P. Angelov, "Real Time Recognition of Human Activities from Wearable Sensors by Evolving Classifiers", in Proceedings of IEEE International Conference on Fuzzy Systems, June 27-30, 2011, Taiwan, 2011, pp. 2786-2793.

J.Andreu, R. Dutta Baruah, P. Angelov, "Automatic Scene Recognition for Low-Resource Devices using Evolving Classifiers", in Proceedings of IEEE International Conference on Fuzzy Systems, June 27-30, 2011, Taiwan, 2011, pp. 2779-2785.

R. Dutta Baruah, P. Angelov, J. Andreu, "Simpl_eClass: Simplified Potential-free Evolving Fuzzy Rule-Based Classifiers", in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, Oct 9-12, 2011, Alaska, 2011, pp. 2249-2254.

R. Dutta Baruah and P. Angelov, "Clustering as a Tool for Self-generation of Intelligent Systems: A Survey" in Proceedings of Evolving Intelligent Systems Symposium, The Thirty Sixth Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB'10), Leicester, UK, 2010, pp. 34-41.

R. Dutta Baruah, D. Baruah, U. Baruah, "Development and Performance Evaluation of Various Models for Automatic Classification of Air Crash Reports", in Proceedings of International Conference on Telecommunications August 19-21, Bandung, Indonesia, 2008, pp. 46-49.

R. Dutta Baruah, D. Baruah, "A Review of Task Allocation Methodologies for Multi-Robot Systems", CSI Communications, Robotics issue, Vol. 32, Issue 8, November 2008, pp.12-15.

R. Dutta Baruah, S.B. Nair, "EZeeCom": Enabling Spontaneous Social Interactions over Mobile Ad hoc Networks", in Proceedings of International Wireless Communications and Mobile Computing Conference (IWCMC), August 12-16, 2007, Hawaii, USA, ACM Press, 2007, pp.559-564.

R. Dutta Baruah, R. K. Rathore, Soni. P, S. B. Nair, "RoboSapienNet-Towards Building A Social Network of Human Beings and Robots, in Proceedings of the Fourth IEEE International Conference on Wireless and Optical Communications Networks Next Generation Networks, July 2- 4, 2007, Singapore,2007, pp.1-6.