Name: Mahbub Ul Alam
Type: User
Company: Stockholm University
Bio: "....one thing is certain, that Life flies; One thing is certain, and the Rest is Lies; The Flower that once blown for ever dies."
-Rubaiyat
Location: Stockholm, Sweden
Blog: https://www.linkedin.com/in/anondo
Mahbub Ul Alam's Projects
Baseline Emotion Recognizer recognizes emotion from audio data. It uses openSMILE tool kit to extract the features. For classification it uses SVM machine learning technique. For the classification it uses scikit-learn library.
A very brief introduction with CLAP model architecture and music data
(Master's Thesis) Alam, Mahbub Ul, From Speech to Image: A Novel Approach to Understand the Hidden Layer Mechanisms of Deep Neural Networks in Automatic Speech Recognition, Masterarbeit, Institut für Maschinelle Sprachverarbeitung, Universität Stuttgart, 2017. (https://www.ims.uni-stuttgart.de/en/research/publications/theses/)
Repository for the journal article, 'Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application', Mahbub Ul Alam, Rahim Rahmani. Sensors 21, no. 15: 5025, https://doi.org/10.3390/s21155025.
Repository for the journal article, 'FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices', Mahbub Ul Alam, Rahim Rahmani. Sensors 23, no. 2: 970, https://doi.org/10.3390/s23020970.
Repository for the 'best student paper award' winning paper at the IEEE 35th International Symposium on Computer Based Medical Systems (CBMS 2022), Exploring LRP and Grad-CAM visualization to interpret multi-label-multi-class pathology prediction using chest radiography, Mahbub Ul Alam, Jón Rúnar Baldvinsson and Yuxia Wang. https://doi.org/10.1109/CBMS55023.2022.00052
Training and evaluation of a named entity recognition (ner) model will be performed based on the English subset of the MultiNERD dataset
Repository for the journal article 'SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction'
Repository for the conference paper 'COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning', Mahbub Ul Alam, Jaakko Hollmén and Rahim Rahmani. IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023, pp. 646-653.