Publications 

Selected Journal Publications

• Zixiu Wu, Balloccu S, V. Kumar, Rim Helaoui, Reiter E., Diego Reforgiato Recupero & Daniele Riboni, "Creation, Analysis and Applications of AnnoMI, a Dataset of Expert-Annotated Counselling Dialogues" in Future Internet, 2023.  [Link]

• Cultivation of Human-Centered Artificial Intelligence: Culturally Adaptive Thinking in Education for AI (CATE-AI) – In Frontiers in Artificial Intelligence, 2023, [Link]

• Are Emotions Conveyed Across Machine Translations? Establishing an Analytical Process for the Effectiveness of Multilingual Sentiment Analysis with Italian Text – In Journal of Big Data and Artificial Intelligence [Link] 

• Sangher, K. S., Singh, A., Pandey, H. M., & Kumar, V., "Towards Safe Cyber Practices: Developing a Proactive Cyber-Threat Intelligence System for Dark Web Forum Content by Identifying Cybercrimes" in Information 2023.  [Link] 

• Jain, P.H., Kumar, V., Samuel, J., Singh, S., Mannepalli, A. and Anderson, R., "Artificially Intelligent Readers: An Adaptive Framework for Original Handwritten Numerical Digits Recognition with OCR Methods" in  Information 2023.  [Link] 

• Gupta, S.; Singh, A.; Kumar, V., "Emoji, Text, and Sentiment Polarity Detection Using Natural Language Processing" in Information 2023.  [Link] 

• V. Kumar, D. R. Recupero, R. Helaoui and D. Riboni, "K-LM: Knowledge Augmenting in Language Models within Scholarly Domain" in IEEE Access 2022. DOI: 10.1109/ACCESS.2022.3201542 (Web of Science, Scopus, IF- 3.8)  [Link] 

• V. Kumar, D. R. Recupero, D. Riboni and R. Helaoui, "Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification from Clinical Notes" in  IEEE Access 2020. DOI: 10.1109/ACCESS.2020.3043221
  (Web of Science, Scopus, IF- 3.8)  [Link] 

Conference/Workshop Publications

2025

• Mitigating Semantic Drift: Evaluating LLMs' Efficacy in Psychotherapy through In-context Conversational Dialogue Summarization Leveraging MITI Code ACCEPTED at IJCNN 2025. 

• PsychAware: A Machine Learning-Based Early Detection Framework for Mental Health Monitoring in Defense Personnel – Accepted at ICANN, 2025

• Towards Empathetic AI: Evaluating Large Language Models through Psychological Cues in Conversational Therapy – Accepted at ICANN, 2025

• Leveraging Large Language Models for In-context Data Generation to Address Bias and Scarce Data Challenges in Mental Healthcare – Under Review

• A novel minimal augmentation technique to mitigate bias in the Food Hazard domain, leveraging large language models - Under Review

• LLM-Therapist: Identifying Change, Neutral and Sustain Talk in Evaluating in Motivational Interviewing - Under Review

• A Framework to Detect Multi–Enhanced Conceptual Emotions Based on Patterns of Mingled Linguistic Features - Under Review

• Low Computational Resource Inspired Approach to Recognize the Fine-Grained Distinction Between Closely Related Sentiments – Under Journal Review

• PhilHumans: Benchmarking Machine Learning for Personal Health – Under Journal Review [Link to Preprint]

2024

• Balloccu S, V. Kumar, Reiter E., Diego Reforgiato Recupero & Daniele Riboni- "Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration" –  in EMNLP 2024 [Link] 

• Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health and Therapeutic Counselling  (Under Final Publication) - [Link]

2023

• Kumar, Vivek, et al. "VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News Stories Using Transformers and Stacked Embeddings" in ACL 2023 - 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis [Link] 

• Kumar, Vivek, et al. "How do you feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment" - Proceedings of ECIR-BIAS, Dublin, Ireland -2023. [Link] 

2022

• Vivek Kumar, Balloccu S, Zixiu Wu, Reiter E, Rim Helaoui, Diego Reforgiato Recupero & Daniele Riboni (2022). Data Augmentation for Reliability & Fairness in Counselling Quality Classification- Presented in IJCAI-ECAI, Vienna, Austria-2022. [Link] 

• Zixiu Wu, Balloccu S, Vivek Kumar, Rim Helaoui, Reiter E., Diego Reforgiato Recupero & Daniele Riboni (2022). "ANNO-MI: A DATASET OF EXPERT-ANNOTATED COUNSELLING DIALOGUES."  In The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2022, Singapore [Link] 

2020

• Zixiu Wu, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero & Daniele Riboni (2020). "Towards Detecting Need for Empathetic Response in Motivational Interviewing." In SAMIH'20 Workshop of  International Conference on Multimodal Interaction ( pp. 497-502). ACM ICMI-MLMI [Link] 

• Dessì, D., Helaoui, R., Kumar, V., Reforgiato Recupero, D., & Riboni, D. (2020). "TF-IDF vs word embeddings for morbidity identification in clinical notes: An initial study." In 1st Workshop on Smart Personal Health Interfaces, ACM IUI, SmartPhil 2020 (Vol. 2596, pp. 1-12). CEUR-WS [Link] 

2019

• Mazzara, M., Afanasyev, I., Sarangi, S. R., Distefano, S., Kumar, V., & Ahmad, M,  "A Reference Architecture for Smart & Software-defined Buildings", International Conference on Smart Computing (SMARTCOMP), Washington D.C, USA, 2019 – IEEE Xplore. DOI: 10.1109/SMARTCOMP.2019.00048   [Link]  

• Thanh, D. N. H., Erkan, U., Prasath, V. S., Kumar, V., & Hien, N. N, "A Skin Lesion Segmentation Method for Dermoscopic Images Based on Adaptive Thresholding with Normalization of Color Models". 6th International Conference On Electrical & Electronics Engineering (ICEEE 2019), Istanbul, Turkey– IEEE Xplore. DOI: 10.1109/ICEEE2019.2019.00030  [Link] 

• Kumar, Vivek, et al., "Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications". International Conference on Data Science and Management (ICDSM-2019). Published with Lecture Notes Data Engineering and Communications Technologies (LNDECT) Series (2019)- Springer. [Link]

• Kumar, Vivek, et al., "Anatomy of Preprocessing of Big Data for Monolingual Corpora Paraphrase Extraction: Source Language Sentence Selection". In, Emerging Technologies in Data Mining and Information Security, Advances in Intelligent Systems and Computing, Vol. 814, pp. 495-505, 2019, Singapore -Springer Nature. DOI: https://doi.org/10.1007/978-981-13-1501-5_43  [Link]

2018

• Kumar, Vivek, et al., "A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorists Attacks: Prediction & Prevention for Combating Terrorism". Proceedings of 6th International Conference in Software Engineering for Defense Applications- SEDA 2018, Rome, Italy. In: AISC, Switzerland-Springer Nature.  DOI: https://doi.org/10.1007/978-3-030-14687-0_13  [Link]

• Kumar, Vivek, et al., "Performance Evaluation of Lazy And Decision Tree Classifier: A Data Mining Approach for Global Celebrity‘s Death Analysis". International Conference on Research in Intelligent and Computing in Engineering (RICE), 2018-IEEE Xplore. DOI: 10.1109/RICE.2018.8509082 [Link]

2017

• Kumar, Vivek, et al., "Unsupervised Learning Dimensionality Reduction Algorithm PCA for Face Recognition". International Conference on Computing, Communication and Automation (ICCCA), pp. 32-37, 2017-IEEE Xplore. DOI: 10.1109/CCAA.2017.8229826   [Link]  (Web of Science, Scopus) 

• Tiwari, Prayag, Sachin Kumar, Avinash Chandra Mishra, Vivek Kumar, and Bodena Terfa. "Improved performance of data warehouse." In Inventive Communication and Computational Technologies (ICICCT), pp. 94-104, 2017-IEEE Xplore. DOI: 10.1109/ICICCT.2017.7975167   [Link] (Web of Science, Scopus)

Journal Publications

•  Kumar V., Tiwari P., Mishra B.K., Kumar. S. "Implementation of n-gram methodology for rotten tomatoes review dataset sentiment analysis". International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 7(1), pp. 30–41 (2017)-IGI Global. DOI: https://doi.org/10.4018/ijkdb.2017010103  [Link] 

• Performance Analysis of LMS Adaptive Beamforming Algorithm: Published in IJECT Vol. 4, Issue Special - 5, July - Sept 2013. [Link]

• Advances in Mobile Communication by Implementation of Smart Antennas: Published in International Journal of Electronics and Communication Engineering, Vol. 4, Issue 3, July - Sept 2013. [Link] 

• Fault Detection Technique by using OTDR: Limitations and drawbacks on practical approach to measurement: Published in International Journal of Emerging Technology and Advanced Engineering, Volume 2, Issue 6, July 2012. [Link]

Book Chapters

• Kumar, Vivek, et al., "Anatomy of Preprocessing of Big Data for Monolingual Corpora Paraphrase Extraction: Source Language Sentence Selection"- In: Emerging Technologies in Data Mining and Information Security, Advances in Intelligent Systems and Computing, Vol. 814, pp. 495-505, 2019, Springer Nature, Singapore. DOI: https://doi.org/10.1007/978-981-13-1501-5_43