Implementation of n-gram Methodology for Rotten Tomatoes Review Dataset Sentiment Analysis. - Prayag Tiwari; Brojo Kishore Mishra; Sachin Kumar 001; Vivek Kumar 007 (Int. J. Knowl. Discov. Bioinform., 2017)

Performance Evaluation of Lazy and Decision Tree Classifier: A Data Mining Approach for Global Celebrity's Death Analysis. - Vivek Kumar 007; Roman Zinovyev; Abhishek Verma; Prayag Tiwari (RICE, 2018)

A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks - Prevention and Prediction for Combating Terrorism. - Vivek Kumar 007; Manuel Mazzara; Angelo Messina; JooYoung Lee (SEDA, 2018)

A Reference Architecture for Smart and Software-Defined Buildings. - Manuel Mazzara; Ilya Afanasyev 001; Smruti R. Sarangi; Salvatore Distefano; Vivek Kumar 007; Muhammad Ahmad (SMARTCOMP, 2019)

Image De-Noising For Salt and Pepper Noise by Introducing New Enhanced Filter. - Vivek Kumar 007; Atul Samadhiya (CoRR, 2019)

Comparative Performance Analysis of Image De-noising Techniques. - Vivek Kumar 007; Atul Samadhiya (CoRR, 2019)

Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications. - Vivek Kumar 007; Brojo Kishore Mishra; Manuel Mazzara; Dang N. H. Thanh; Abhishek Verma (CoRR, 2019)

A Reference Architecture for Smart and Software-defined Buildings. - Manuel Mazzara; Ilya Afanasyev 001; Smruti R. Sarangi; Salvatore Distefano; Vivek Kumar 007 (CoRR, 2019)

Towards Detecting Need for Empathetic Response in Motivational Interviewing. - Zixiu Wu; Rim Helaoui; Vivek Kumar 007; Diego Reforgiato Recupero; Daniele Riboni (ICMI Companion, 2020)

TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study. - Danilo Dessì; Rim Helaoui; Vivek Kumar 007; Diego Reforgiato Recupero; Daniele Riboni (SmartPhil@IUI, 2020)

Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification From Clinical Notes. - Vivek Kumar 007; Diego Reforgiato Recupero; Daniele Riboni; Rim Helaoui (IEEE Access, 2021)

Anno-MI: A Dataset of Expert-Annotated Counselling Dialogues. - Zixiu Wu; Simone Balloccu; Vivek Kumar 007; Rim Helaoui; Ehud Reiter; Diego Reforgiato Recupero; Daniele Riboni (ICASSP, 2022)

K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain. - Vivek Kumar 007; Diego Reforgiato Recupero; Rim Helaoui; Daniele Riboni (IEEE Access, 2022)

How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment. - Vivek Kumar 007; Giacomo Medda; Diego Reforgiato Recupero; Daniele Riboni; Rim Helaoui; Gianni Fenu (BIAS, 2023)

VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News Stories Using Transformers and Stacked Embeddings. - Vivek Kumar 007; Prayag Tiwari; Sushmita Singh (WASSA@ACL, 2023)

VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News Stories Leveraging BERT and Stacked Embeddings. - Vivek Kumar 007; Sushmita Singh; Prayag Tiwari (CoRR, 2023)

Artificially Intelligent Readers: An Adaptive Framework for Original Handwritten Numerical Digits Recognition with OCR Methods. - Parth Jain; Vivek Kumar 007; Jim Samuel; Sushmita Singh; Abhinay Mannepalli; Richard Anderson 008 (Inf., 2023)

Towards Safe Cyber Practices: Developing a Proactive Cyber-Threat Intelligence System for Dark Web Forum Content by Identifying Cybercrimes. - Kanti Singh Sangher; Archana Singh; Hari Mohan Pandey; Vivek Kumar 007 (Inf., 2023)

Cultivation of human centered artificial intelligence: culturally adaptive thinking in education (CATE) for AI. - Yana Samuel; Margaret Brennan-Tonetta; Jim Samuel; Rajiv Kashyap; Vivek Kumar 007; Sri Krishna Kaashyap; Nishitha Chidipothu; Irawati Anand; Parth Jain (Frontiers Artif. Intell., 2023)

Creation, Analysis and Evaluation of AnnoMI, a Dataset of Expert-Annotated Counselling Dialogues. - Zixiu Wu; Simone Balloccu; Vivek Kumar 007; Rim Helaoui; Diego Reforgiato Recupero; Daniele Riboni (Future Internet, 2023)

Emoji, Text, and Sentiment Polarity Detection Using Natural Language Processing. - Shelley Gupta; Archana Singh; Vivek Kumar 007 (Inf., 2023)

Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration. - Simone Balloccu; Ehud Reiter; Karen Li; Rafael Sargsyan; Vivek Kumar 007; Diego Reforgiato Recupero; Daniele Riboni; Ondrej Dusek (EMNLP (Findings), 2024)

Ask the experts: sourcing high-quality datasets for nutritional counselling through Human-AI collaboration. - Simone Balloccu; Ehud Reiter; Vivek Kumar 007; Diego Reforgiato Recupero; Daniele Riboni (CoRR, 2024)

PhilHumans: Benchmarking Machine Learning for Personal Health. - Vadim Liventsev; Vivek Kumar 007; Allmin Pradhap Singh Susaiyah; Zixiu Wu; Ivan Rodin; Asfand Yaar; Simone Balloccu; Marharyta Beraziuk; Sebastiano Battiato; Giovanni Maria Farinella; Aki Härmä; Rim Helaoui; et al. (CoRR, 2024)

Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health. - Vivek Kumar 007; Eirini Ntoutsi; Pushpraj Singh Rajawat; Giacomo Medda; Diego Reforgiato Recupero (CoRR, 2024)