Publications

Book Chapters

  1. V. Susheela Devi, Learning using Soft Computing Techniques, Chapter in a book titled "Global Trends in Intelligent Computing Research and Development" edited by B.K. Tripathy and D.P. Acharjya, 2014 by IGI Global Publishers. Cited by 4 (Source : google scholar)
  2. V. Susheela Devi , M. Narasimha Murty, Handwritten digit recognition using soft computing techniques, Chapter of a book titled "Soft computing and image processing", published by Physica-Verlag, Heidelberg, edited by S. K. Pal, A. Ghosh, M. K. Kundu, January 2000.
    Cited by 14 (Source : google scholar)

Conferences

  1. Ayushi Kohli and V. Susheela Devi, “Explainable Offensive Language Classifier”, International Conference on Neural Information Processing (ICONIP2023)
  2. Rohit Raj and V. Susheela Devi. Adversarially Robust Neural Legal Judgement System, 3rd Symposium on Artificial Intelligence and Law (SAIL), 24 - 26 February 2023 (To be included in CEUR proceedings)
  3. Rohit Raj and V. Susheela Devi. Towards Robustness of Few-Shot Text Classifiers, International Joint Conference on Neural Networks (IJCNN 2023), 18 - 23 June 2023, Gold Coast, Queensland, Australia
  4. Raj Jha and V. Susheela Devi, Extractive Question Answering using Transformer-based LM, The 29th International Conference on Neural Information Processing, ICONIP 2022, November 22-26, IIT Indore, India.
  5. A. Vivek and V. Susheela Devi, SumBART - An improved BART model for abstractive text summarization, The 29th International Conference on Neural Information Processing, ICONIP 2022, November 22-26, IIT Indore, India.
  6. Hemavati Dhole, V. Susheela Devi and Aparna R(2022), Multi label Image classification using optimized ensemble deep learning, 2022 IEEE World Conference on Applied Intelligence and Computing (AIC 2022), Sonbhadra, India, June 17-19, 2022.
  7. Govind Sharma, Swyam Prakash Singh, V. Susheela Devi and M. Narasimha Murty(2021), The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs, arXiv:2111.00243 [cs.LG], October 2021
  8. Hemavati Dhole, V. Susheela Devi and Aparna R(2021), Multi layered Stacked Ensemble Method with Feature Reduction Technique for Multi-Label Classification, presented in the First International Conference on Artificial Intelligence, Computational Electronics and Communication System (AICECS2021), 28-30 October, 2021, Manipal, India
  9. Ravikumar Penugonda, Uday Kiran Rage, Narendra Babu Unnam, Yutaka Watanobe, , Goda, V. Susheela Devi and Krishna Reddy P.(2021), A novel parameter-free energy efficient fuzzy nearest neighbour classifier for time series data, IEEE International Conference on Fuzzy Systems 2021 (FUZZ-IEEE 2021), Luxembourg, July 11-14, 2021.
  10. Ajimakin Adetunji David and V. Susheela Devi(2021), Estimation of von Mises-Fisher Distribution Algorithm, with application to support vector classification, Genetic and Evolutionary Computation Conference GECCO 2021, at Lille, France from 10-14 July, 2021.
  11. Anantha Rao Chukka and V. Susheela Devi(2021), Detection of Malicious Binaries by Applying Machine Learning Models on Static and Dynamic Artefacts, 6th International Conference on Internet of Things, Big Data and Security IoTBDS 2021 at Prague, Czech Republic from 23-25 April 2021.
  12. Anantha Rao Chukka and V. Susheela Devi(2021), Detection of Malicious Binaries by Deep Learning Methods, 6th International Conference on Internet of Things, Big Data and Security IoTBDS 2021 at Prague, Czech Republic from 23-25 April, 2021.
  13. Hemavati, V. Susheela Devi, Seba Ann Kuruvilla and R. Aparna, Prototype Selection and Dimensionality Reduction on Multi-Label Data, ACM India Joint International Conference on Data Science and Management of Data, 7th
  14. Hemavati, V. Susheela Devi, Seba Ann Kuruvilla and R. Aparna, Prototype Selection and Dimensionality Reduction on Multi-Label Data, ACM India Joint International Conference on Data Science and Management of Data, 7th ACM CODS-COMAD 2020, January 2020.
  15. D. Anil Kumar and V. Susheela Devi, Improved Knowledge Base Question Answering System using Re-ranking Approach, 26th International Conference on Neural Information Processing (ICONIP 2019), 12th-15th December 2019, Sydney, Australia.
  16. Chaikesh Chouragade and V. Susheela Devi, Deep Transfer Learning for Emotion Recognition from Text, 26th International Conference on Neural Information Processing (ICONIP 2019), 12th-15th December 2019, Sydney, Australia.
  17. P. Meghashyam and V. Susheela Devi, Community Based Node Embeddings for Networks, 26th International Conference on Neural Information Processing (ICONIP 2019), 12th-15th December 2019, Sydney, Australia.
  18. Maulik Parmar and V. Susheela Devi, Neural Machine Translation with Recurrent Highway Networks, 6th International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2018), 20-22 December, Romania, 2018.
  19. Devanapalli Shankar and V. Susheela Devi, Transfer Learning using Progressive Neural Networks and NMT for classification tasks in NLP, 25th International Conference on Neural Information Processing (ICONIP 2018), 13-16 December, Cambodia, 2018.
  20. Shinjini Biswas and V. Susheela Devi, Parallelization of Multi-Label Classification for Large Data Sets, IEEE Symposium Series for Computational Intelligence(IEEE-SSCI 2018), 18-21 November, Bangalore, India, 2018.
  21. Sharun S. Thazhackal and V. Susheela Devi, A Hybrid Deep Learning Model to Predict Business Closure from Reviews and User Attributes Using Sentiment Aligned Topic Model, IEEE Symposium Series in Computational Intelligence (IEEE-SSCI 2018), 18-21 November, Bangalore, India, 2018.
  22. Ansari T K, Rajath Kumar, Sonali Singh, Sriram Ganapathy and V Susheela Devi, Unsupervised HMM Posteriograms for Language Independent Acoustic Modeling in Zero Resource Conditions, IEEE Automatic Speech Recognition and Understanding Workship, December 16-18, Japan, 2017.
  23. V. Susheela Devi and Bhupesh Akhand, Feature Reduction for Multi Label Classification of Discrete Data, International Conference on Machine Learning and Data Mining (MLDM 2016), New York, July 2016.
  24. Soniya Rangnani, V. Susheela Devi and M. Narasimha Murty, Autoregressive model for users retweeting profile, 7th International Conference on Social Informatics (SocInfo2015), Beijing, China, December 9-12, 2015.
  25. Rajhans Gondane and V. Susheela Devi, Classification using probabilistic random forest, 2015 IEEE Symposium Series on Computational Intelligence(IEEE SSCi 2015) , Cape Town, South Africa, December 8-10, 2015.
  26. Jaswant Meena and V. Susheela Devi, Overlapping community detection in social network using disjoint community detection, 2015 IEEE Symposium on Computational Intelligence(IEEE SSCI 2015), Cape Town, South Africa, December 8-10, 2015.
  27. V. Susheela Devi, Class Specific Feature Selection using Simulated Annealing, International conference on Mining Intelligence and Knowledge Exploration (MIKE 2015), Hyderabad, India, December 9-11, 2015.
  28. Rajhans Gondane and V. Susheela Devi, Classification using rough random forest, International conference on Mining Intelligence and Knowledge Exploration (MIKE 2015), Hyderabad, India, December 9-11, 2015.
  29. Soniya Rangnani and V. Susheela Devi, Predicting potential retweeters for a microblog on Twitter, 19th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2015) and Proceedings in Adaption, Learning and Optimization, Bangkok, Thailand, November 22-25, 2015.
  30. Lakhpat Meena and V. Susheela Devi, Prototype selection on large and streaming data, 22nd International Conference on Neural Information Processing (ICONIP2015), Istanbul, Turkeky, November 9-12, 2015.
  31. Ravi Kumar P. and V. Susheela Devi, Weighted feature-based classification of time series data, IEEE Symposium Series on Computational Intelligence 2014 (IEEE SSCI 2014), Florida, 2014.
  32. Balvant Yadav and V. Susheela Devi, Novelty detection applied to the classification problem using probabilistic neural network, IEEE Symposium Series on Computational Intelligence 2014(IEEE SSCI 2014), Florida, 2014.
  33. Ravi Kumar P. and V. Susheela Devi, Fast classification of time series data, 2014 International Conference on Soft Computing and Machine Intelligence, (ISCMI2014), Sept. 26-27, 2014.
  34. Shibu Kumar K.B., V. Susheela Devi, Rajeev K.K. and Arun Bhatia, Probabilistic algorithms for election result preduction, 2014 International Conference on Soft Computing and Machine Intelligence (ISCMI2014),Sept. 26-27, 2014.
  35. Hrishikesh Dewan, Raksha B. Nayak and V. Susheela Devi, A Peer-to-Peer Dynamic Single Objective Particle Swarm Optimizer, 4th Joint International Conference on Swarm, Evolutionary and Memetic Computing SEMCCO 2013, SRM University, Chennai, Tamil Nadu, 19-21st December 2013.
  36. Hrishikesh Dewan, Raksha B. Nayak and V. Susheela Devi, A Peer-to-Peer Particle Swarm Optimizer for Multi-objective functions, 4th Joint International Conference on Swarm, Evolutionary and Memetic Computing SEMCCO 2013, SRM University, Chennai, Tamil Nadu, 19-21st December 2013.
  37. Hrishikesh Dewan, Raksha B. Nayak and V. Susheela Devi, A Peer-to-Peer Dynamic Multi-objective Particle Swarm Optimizer, 1st International Conference on Mining Intelligence and Knowledge Exploration MIKE 2013, Virudhunagar, Tamil Nadu, 18-20 December 2013.
  38. Ravi Kumar P. and V. Susheela Devi, Fuzzy classification of time series data, IEEE International conference on Fuzzy Systems (FUZZ) 2013, July 7-10, Hyderabad, India.
  39. Bhupesh Akhand and V. Susheela Devi, Multilabel classification of discrete data, IEEE International conference on Fuzzy Systems (FUZZ) 2013, July 7-10, Hyderabad, India.
  40. Swetha K.P. and V. Susheela Devi, Modified Particle Swarm Optimization for Pattern Clustering, International Conference on Neural and Information Processing(ICONIP 2012), volume 7665 of Lecture Notes in Computer Science, pp. 496-503. Springer, (2012), November 2012, Doha, Qatar.
  41. Swetha K.P. and V. Susheela Devi, Simultaneous Feature Selection and Clustering using Particle Swarm Optimization, International Conference on Neural and Information Processing(ICONIP 2012), pp. 505-515, November 2012, Doha, Qatar.
  42. Swetha K.P. And V. Susheela Devi, Feature Weighting for Clustering by Particle Swarm Optimization, Proceedings of International Conference on Genetic and Evolutionary Computation (ICGEC 2012), August 2012, Kitakyushu, Japan.
  43. Hrishikesh Dewan and V. Susheela Devi, A peer-peer Particle Swarm Optimizer, Proceedings of International Conference on Genetic and Evolutionary Computation(ICGEC 2012), August 2012, Kitakyushu, Japan.
  44. Deepti Dohare and V. Susheela Devi, Combination of Similarity Measures for Time Series Classification using Genetic Algorithms, Proceedings of IEEE Congress on Evolutionary Computation (CEC 2011), pp. 511-518, June 2011, New Orleans, USA.
  45. Jyothi Korra and V. Susheela Devi, Object Categorization using Genetic Programming, Proceedings of International Conference on Genetic and Evolutionary Computation, ICGEC-2010, 13-15th December, 2010.
  46. D. P. Sen Gupta, S. Sargunaraj, V. Susheela Devi, Modified Kalman filter for planning unit commitment and peak shifting, IASTED International Conference, October 27 - 30, 1997, Florida.
  47. D. P. Sen Gupta, S. Sargunaraj, V. Susheela Devi, Decentralized peak power control based on short-term forecast using modified Kalman filter, International Conference on Energy Economics, New Delhi, 1997.
  48. V. Susheela Devi, D. P. Sen Gupta, S. Sargunaraj, Optimal restoration of supply following a fault on large distribution systems, International Conference on Advances in Power Systems Control, Operation and Management (APSCOM-91), November 5-8, 1991, Hong Kong. Cited by 3 (Source : google scholar)
  49. D. P. Sen Gupta, V. Susheela Devi, Loss reduction and improvement in voltage profile in rural distribution networks, Three day workshop on Improvement in Power Distribution Systems, Institution of Engineers (India), Bangalore, May 1991.
  50. S. Sargunaraj, D. P. Sen Gupta, V. Susheela Devi, Short-term forecasting for decentralized load management, VI National Power Systems Conference , Bombay, June 4- 7, 1990.
  51. V. Susheela Devi, D. P. Sen Gupta, S. Sargunaraj, A search technique for restoring power supply in complex distribution systems, VI National Power Systems Conference, Bombay, June 4- 7, 1990. Cited by 3 (Source : google scholar)

Journal Publications

  1. Kodipalli, A., Devi, S., Semantic Segmentation and Classification of Polycystic Ovarian Disease using Attention UNet, Pyspark, and Ensemble Learning Model , to appear in Expert Systems
  2. Kodipalli, A., Devi, S., Dasar, S., & Ismail, T. (2022). Segmentation and classification of ovarian cancer based on conditional adversarial image to image translation approach. Expert Systems, e13193. https://doi.org/10.1111/exsy.13193
  3. A. D. Ajimakin and V. S. Devi, "The Competing Genes Evolutionary Algorithm: Avoiding Genetic Drift through Competition, Local Search, and Majority Voting," in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2022.3229038.
  4. Hemavati Dhole, V. Susheela Devi and Aparna R(2022), Multi-label learning by extended multi-tier stacked ensemble method with label correlated feature subset augmentation, to appear in International Journal of Electrical and Computer Engineering(IJECE).
  5. Mohd. Sadiq and V. Susheela Devi, Fuzzy-soft set approach for ranking the functional requirements of software, Expert Systems with Application, accepted on 23st December 2021
  6. Mohd. Sadiq, V. Susheela Devi, Javed Ahmad and Chaudhary Wali Mohammad(2021), Fuzzy logic driven security requirements engineering process, Journal of Information and Optimization Sciences, ISSN 0252-2667 (Print), ISSN 2169-0103 (Online), Vol. 42 (2021), No. 7, pp. 1685–1707, DOI : 10.1080/02522667.2021.1972618
  7. Ashwini Kodipalli and V. Susheela Devi(2021), Prediction of PCOS and Mental Health using Fuzzy Inference and SVM, Frontiers in Public Health, Volume 9, DOI=10.3389/fpubh.2021.789569
  8. Mohd. Sadiq and V. Susheela Devi(2021) , Prioritization and Selection of the Software Requirements using Rough-Set Theory, IETE Journal of Research, DOI: 10.1080/03772063.2021.1973593
  9. Mohd. Sadiq and V. Susheela Devi(2021), A rough-set based approach for the prioritization of software requirements, International Journal of Information Technology(2021). https://doi.org/10.1007/s41870-021-00749-0
  10. V. Susheela Devi and Lakhpat Meena, Parallel MCNN(pMCNN) with application to prototype selection on large and streaming data, Journal of Artificial Intelligence and Soft Computing Research (JAISCR), Volume 7, Issue 3, pp. 155-169, March 2017.
  11. V.Susheela Devi, M. Narasimha Murty, An Incremental Prototype Set Building Technique, Pattern Recognition 35 (2002) 505-513 . Cited by 92 (Source : google scholar)
  12. V. Susheela Devi, M. Narasimha Murty, Stochastic search techniques for post-fault restoration of electrical distribution systems , Sadhana, Journal of the Indian Academy of Sciences, Bangalore, India, 25(111), Volume 25 Part 1, February 2000. Cited by 5 (Source : google scholar)
  13. S. Sargunaraj, D. P. Sen Gupta, V. Susheela Devi, Short-term load forecasting for demand side management, IEE Proceedings, Generation, Transmission and Distribution, January 1997. Cited by 40 (Source : google scholar)
  14. V. Susheela Devi, D. P. Sen Gupta, G. Anandalingam, Optimal restoration of power supply in large distribution systems in developing countries, IEEE Trans. Power Delivery, Vol. 10, No. 1, January 1995. Cited by 42 (Source : google scholar)
  15. D.P. Sen Gupta, S. Sargunaraj, V. Susheela Devi, Rural electrification: planning distribution systems for minimization of loss, Electrical India, Vol. XXIV, No. 6, March 1984.

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