Publications

Quantum Inspired Machine Learning and Information Retrieval Publications

2020

• Moreira, C., Tiwari, P., Pandey, H.M., Bruza, P., & Wichert, A. (2020), Quantum-Like InfluenceDiagrams for Decision-Making, Neural Networks. (SCI, I.F.- 6.864, Q1)

• Upretty, S., Tiwari, P., Dehdashti, S., Fell, L., Song, D., Bruza, P., Melucci, M.(2020) Quantum-Like Structure in Multidimensional Relevance Judgements. In: Jose J. et al. (eds) Advances in Information Retrieval. ECIR 2020. Lecture Notes in Computer Science, vol 12035. Springer, Cham.

2019

• Tiwari, P., & Melucci, M. (2019, July). Binary classifier inspired by quantum theory. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp. 10051-10052).

• P. Tiwari, and M. Melucci, "Towards a Quantum-Inspired Binary Classifier ," in IEEE Access. doi: 10.1109/ACCESS.2019.2904624 . (SCI, I.F.-4.098, Q1).

2018

• Prayag Tiwari and Massimo Melucci. 2018. Towards a Quantum-Inspired Framework for Binary Classification. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM '18). ACM, New York, NY, USA, 1815-1818. DOI: https://doi.org/10.1145/3269206.3269304.

• Emanuele Di Buccio, Qiuchi Li, Massimo Melucci, and Prayag Tiwari*. 2018. Binary Classification Model Inspired from Quantum Detection Theory. In Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR '18). ACM, New York, NY, USA, 187-190. DOI: https://doi.org/10.1145/3234944.3234979. {*indicate author names are written alphabetically}

• Qiuchi Li, Massimo Melucci, and Prayag Tiwari. 2018. Quantum Language Model-based Query Expansion. In Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR '18). ACM, New York, NY, USA, 183-186. DOI: https://doi.org/10.1145/3234944.3234970.

• Tiwari, Prayag, and Massimo Melucci. "Multi-class Classification Model Inspired by Quantum Detection Theory." arXiv preprint arXiv:1810.04491 (2018).

Journal

2020

• J. Qian, P. Tiwari, S. P. Gochhayat and H. M. Pandey, "A noble double dictionary based ECG Compression Technique for IoTH," in IEEE Internet of Things Journal. (SCI, I.F.-9.936, Q1)

• D. Wang*, P. Tiwari*, S. Garg , H. Zhu, P. Bruza, et al., Structural block driven enhanced convolutional neural representation for relation extraction, Applied Soft Computing Journal (2019) 105913, https://doi.org/10.1016/j.asoc.2019.105913.(SCI, I.F.-5.472 Q1) {*indicate first co-author and share equal contribution}

• Wu, J., Yang, Y., Lei, Z., Wang, J., Li, S. Z., Tiwari, P., & Pandey, H. M. (2020). An end-to-end exemplar association for unsupervised person Re-identification. Neural Networks. (SCI, I.F.- 6.864, Q1)

• Yang, Y., Zhang, T., Cheng, J., Hou, Z., Tiwari, P., & Pandey, H. M. (2020). Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification. Neural Networks. (SCI, I.F.- 6.864, Q1)

2019

• Jaiswal, A. K., Tiwari, P., Kumar, S., Gupta, D., Khanna, A., & Rodrigues, J. J. (2019). Identifying pneumonia in chest X-rays: A deep learning approach. Measurement, 145, 511-518. (SCI, I.F. -3.364, Q1)

• Gochhayat SP, Kaliyar P, Conti M, Tiwari P, Prasath VBS, Gupta D, Khanna A, LISA: Lightweight context-aware IoT service architecture, Journal of Cleaner Production (2019), doi: https://doi.org/10.1016/j.jclepro.2018.12.0. (SCI, I.F.-7.246, Q1)

• Li, J., Hu, R., Xiaokang, l., Tiwari, P., Pandey, H.M., B., Jin, Y., Yang,K., “A Distant Supervision Method based on Paradigmatic Relations for Learning Word Embeddings,” in Neural Computing and Applications ( SCI, I.F.-4.774, Q1)

• Jain, D. K., Kumar, A., Sangwan, S. R., Nguyen, G. N., & Tiwari, P. (2019). A Particle Swarm Optimized Learning Model of Fault Classification in Web-Apps. IEEE Access, 7, 18480-18489. (SCI, I.F.-4.098, Q1)

• Khamparia, A., Nhu, N. G., Pandey, B., Gupta, D., Rodrigues, J. J., Khanna, A., & Tiwari, P. (2019). Investigating the Importance of Psychological and Environmental Factors for Improving Learner’s Performance Using Hidden Markov Model. IEEE Access, 7, 21559-21571. (SCI, I.F.-4.098, Q1)

• Mallick, P. K., Ryu, S. H., Satapathy, S. K., Mishra, S., Nguyen, N. G., & Tiwari, P. (2019). Brain MRI ImageClassification for Cancer Detection using Deep Wavelet Autoencoder based Deep Neural Network. IEEE Access. (SCI, I.F.-4.098, Q1)

• A. Khamparia, D. Gupta, N. G. Nhu, A. Khanna, B. Pandey and P. Tiwari, "Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network," in IEEE Access. doi: 10.1109/ACCESS.2018.2888882 . (SCI, I.F.-4.098, Q1)

2018

• Tiwari, P., Qian, J., Li, Q., Wang, B., Gupta, D., Khanna, A., Rodrigues, J.J.P., Detection of Subtype Blood Cells using Deep Learning, Cognitive Systems Research (2018), doi: https://doi.org/10.1016/ j.cogsys.2018.08.022. (SCI, IF-1.902, Q2)

• El-Sayed, H., Sankar, S., Daraghmi, Y. A., Tiwari, P., Rattagan, E., Mohanty, M., ... & Prasad, M. (2018). Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier. Sensors, 18(6), 1696. (SCI, IF-3.275, Q1)

• Sharma, B., Kumar, S., Tiwari, P., Yadav, P., Nezhurina, M.I., ANN based short-term traffic flow forecasting in undivided two lane highway. Journal of Big Data. (I.F.-8.47, Q1)

2017

• Tiwari, P., Dao, H., & Nguyen, G. N. (2017). Performance evaluation of lazy, decision tree classifier and multilayer perceptron on traffic accident analysis. Informatica, 41(1). (ESCI, Scopus, Q3)

• Kumar, S., Tiwari, P., & Denis, K. V. (2018). Augmenting Classifiers Performance through Clustering: A Comparative Study on Road Accident Data. International Journal of Information Retrieval Research (IJIRR), 8(1), 57-68. (ESCI)

• Tiwari, P., Mishra, B. K., Kumar, S., & Kumar, V. (2017). Implementation of n-gram methodology for rotten tomatoes review dataset sentiment analysis. International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 7(1), 30-41.