Publications

2020

• Deepankar Nankani, Pallabi Saikia, Rashmi Dutta Baruah, "Automatic Concurrent Arrhythmia Classification using Deep Residual Neural Networks", In Computing in Cardiology (CinC), September 13-16, 2020, Rimini, Italy. (Accepted)
• Deepankar Nankani and Rashmi Dutta Baruah, "Effective Removal of Baseline Wander from ECG Signals: A Comparative Study", In 2nd International Conference on Machine Learning, Image, Processing, Network Security and Data sciences (MIND), July 30 - 31, 2020, Silchar, Assam. (Accepted)
• Deepankar Nankani and Rashmi Dutta Baruah, "Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation", In IEEE IJCNN 2020 under WCCI, July 19 – 24, 2020, Glasgow, UK. (Accepted)
• Sonia and Rashmi Dutta Baruah, "Transfer Learning in Smart Home Scenario", In IEEE IJCNN 2020 under WCCI, July 19 – 24, 2020, Glasgow, UK. (Accepted)
• Achyut Mani Tripathi and Rashmi Dutta Baruah, "Acoustic Event Detection Using Fuzzy Integral Ensemble and Oriented Fuzzy Local Binary Pattern Encoded CNN", In Fuzz-IEEE 2020 under WCCI, July 19 – 24, 2020, Glasgow, UK.(Accepted)
• Pallabi Saikia, Rashmi 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", Computers and Geosciences, Elsevier, Volume 135, 104357, Feb 2020.
• Rashmi Dutta Baruah, P. Angelov and D. Baruah, "Evolving Intelligent Systems", Wiley Encyclopedia of Electrical and Electronics Engineering, John Wiley & Sons Inc.,pp. 1-17, February 2020.
• Achyut Mani Tripathi, Rashmi Dutta Baruah, Senthilmurugan Subiah, "Oil Well Drilling Activities Recognition Using a Hierarchical Classifier", Journal of Petroleum Science and Engineering, Elsevier, under Review.

2019

• Pallabi Saikia, Deepankar Nankani and Rashmi Dutta Baruah, "Seismic Signal Interpretation for Reservoir Facies Classification", International Conference on Pattern Recognition and Machine Intelligence (PReMI), December 17-20, 2019, Tezpur, Assam, Lecture Notes in Computer Science, vol 11942. Springer, Cham, pp. 409-417.
• Gaurav Nakum, Prithwijit Guha, Rashmi Dutta Baruah, "Visual Object Tracking Using Perceptron Forests and Optical Flow", International Conference on Pattern Recognition and Machine Intelligence (PReMI), December 17-20, 2019, Tezpur, Assam, Lecture Notes in Computer Science, vol 11942. Springer, Cham, pp. 525-532.
• Deepankar Nankani and Rashmi Dutta Baruah, "An End-to-End framework for automatic detection of Atrial Fibrillation using Deep Residual Learning", in proceedings of IEEE Region 10 Conference (TENCON), October 17-20, 2019, Kochi, Kerala, pp. 690-695.
• Pallabi Saikia, Deepankar Nankani and Rashmi Dutta Baruah,"Reservoir Facies Classification using Convolutional Neural Networks", in proceedings of IEEE TENCON Geoscience and Remote Sensing Conference (TENGARSS) October 17-2019, Kochi, Kerala, pp. 34-38.
• Achyut Mani Tripathi and Rashmi Dutta Baruah, "Anomaly Detection in Multivariate Time Series Using Fuzzy AdaBoost and Dynamic Naive Bayesian Classifier", in proceedings of IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019), October 6-9, 2019, Bari, Italy, pp. 1938-1944.
• Pallabi Saikia and Rashmi Dutta Baruah, "Investigating Stacked Ensemble Model for Oil Reservoir Characterisation", in proceedings of IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019), October 6-9, 2019, Bari, Italy, pp. 13-20.
• Achyut Mani Tripathi and Rashmi Dutta Baruah, "Incremental Cauchy Non-negative matrix factorization and fuzzy rule-based classifier for acoustic source separation", in proceedings of 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), June 23-26, 2019, New Orleans, USA, pp. 1-6.

2018

• Pallabi Saikia, Prateek Vij, and Rashmi 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.
• Pallabi Saikia and Rashmi 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, Bengaluru, India, pp. 342-349.
• Sonia, Prateek Vij, and Rashmi 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, Bengaluru, India, .

2017

• 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, Manish Singh, Diganta Baruah, Iti Saha 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.

2016

• 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.
• 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.

2015

• 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.

2014

• 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, "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.

2013

• 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. 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.

2012

• R. Dutta Baruah and P. Angelov, "Evolving local means method for clustering of streaming data," in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2012, Brisbane, Australia, 2012, pp. 1-8.
• R. Dutta Baruah and P. Angelov, "Evolving social network analysis: A case study on mobile phone data," in Proceedings of IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) 2012, Madrid, Spain, 2012, pp. 114-120.

2011

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

2010 and Earlier