Vivek Kumar (Ph.D)

Anno-MI: A Dataset of Expert-Annotated Counselling Dialogues

Daniele Riboni, Ehud Reiter, D. Recupero, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification From Clinical Notes

Diego Reforgiato Recupero, Vivek Kumar, Daniele Riboni, 2021, IEEE Access.

Creation, Analysis and Evaluation of AnnoMI, a Dataset of Expert-Annotated Counselling Dialogues

Daniele Riboni, Simone Balloccu, Rim Helaoui, 2023, Future Internet.

K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain

Daniele Riboni, Rim Helaoui, Diego Reforgiato Recupero, 2022, IEEE Access.

A Skin Lesion Segmentation Method for Dermoscopic Images Based on Adaptive Thresholding with Normalization of Color Models

Nguyen Ngoc Hien, Ugur Erkan, Dang Ngoc Hoang Thanh, 2019, 2019 6th International Conference on Electrical and Electronics Engineering (ICEEE).

Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications pdf

Vivek Kumar, Brojo Kishore Mishra, Manuel Mazzara, 2019, Advances in Data Science and Management.

Unsupervised learning dimensionality reduction algorithm PCA for face recognition

Vivek Kumar, Prayag Tiwari, Denis Kalitin, 2017, 2017 International Conference on Computing, Communication and Automation (ICCCA).

TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study

Daniele Riboni, D. Recupero, Rim Helaoui, 2021, SmartPhil@IUI.

Towards Detecting Need for Empathetic Response in Motivational Interviewing

Diego Reforgiato Recupero, Vivek Kumar, Daniele Riboni, 2020, ICMI Companion.