Jesmin Jahan Tithi

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Lessons Learned from Accelerating Quicksilver on Programmable Integrated Unified Memory Architecture (PIUMA) and How That's Different from CPU

Fabrizio Petrini, David F. Richards, Jesmin Jahan Tithi, 2021, ISC.

Performance Optimization of SU3_Bench on Xeon and Programmable Integrated Unified Memory Architecture pdf

Fabio Checconi, Fabrizio Petrini, Douglas Doerfler, 2021, ArXiv.

ALTO: adaptive linearized storage of sparse tensors

Fabio Checconi, Fabrizio Petrini, Teresa M. Ranadive, 2021, ICS.

Z-Inspection®: A Process to Assess Trustworthy AI

Jesmin Jahan Tithi, R. Zicari, M. Westerlund, 2021, IEEE Transactions on Technology and Society.

Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier

Reneé C. Wurth, Pedro A. Moreno-Sanchez, Jesmin Jahan Tithi, 2021, Frontiers in Human Dynamics.

Lessons Learned from Assessing Trustworthy AI in Practice

Reneé C. Wurth, Jesmin Jahan Tithi, Thilo Hagendorff, 2022, Digital Society.

On assessing trustworthy AI in healthcare Best practice for machine learning as a supportive tool to recognize cardiac arrest in emergency calls

Jesmin Jahan Tithi, J. Tørresen, Thilo Hagendorff, 2021 .

Efficient, out-of-memory sparse MTTKRP on massively parallel architectures

Teresa M. Ranadive, Jesmin Jahan Tithi, Ahmed E. Helal, 2022, ICS.

Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI

Jesmin Jahan Tithi, R. Zicari, Gemma Roig, 2022, IAIL@HHAI.

Machine learning as a supportive tool to recognize cardiac arrest in emergency calls.

Fredrik Folke, Annette Kjær Ersbøll, Jesmin Jahan Tithi, 2019, Resuscitation.

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

Lau Bee Theng, Pedro A. Moreno-Sanchez, Jesmin Jahan Tithi, 2022, IEEE Transactions on Technology and Society.

On assessing trustworthy AI in healthcare Best practice for machine learning as a supportive tool to recognize cardiac arrest in emergency calls

Reneé C. Wurth, Jesmin Jahan Tithi, J. Tørresen, 2021 .

On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls

Reneé C. Wurth, Jesmin Jahan Tithi, J. Tørresen, 2021, Frontiers in Human Dynamics.

Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA

Jesmin Jahan Tithi, Robert Adolf, Gu-Yeon Wei, 2023, 2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).

SU3_Bench on a Programmable Integrated Unified Memory Architecture (PIUMA) and How that Differs from Standard NUMA CPUs

Jesmin Jahan Tithi, D. Doerfler, F. Petrini, 2022, ISC.

The Intel Programmable and Integrated Unified Memory Architecture Graph Analytics Processor

Kristof Du Bois, Jesmin Jahan Tithi, Stijn Eyerman, 2023, IEEE Micro.

Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis

Jesmin Jahan Tithi, Fabio Checconi, Fabrizio Petrini, 2024, arXiv.org.

Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation

Teresa M. Ranadive, Jesmin Jahan Tithi, Ahmed E. Helal, 2024, ArXiv.