Piyush Borole

According to our database, Piyush Borole authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Leveraging knowledge for explainable AI in personalized cancer treatment: challenges and future directions.

Emilia Daghir-Wojtkowiak, Javier Antonio Alfaro, Michele Mastromattei, Aleksander Palkowski, Mark Stares, Ana Roca-Umbert, Andraz Krajnc, Riccardo Leoni, Anne Boland, Aria Nourbaksh, Ashwin Adrian Kallor, Camille Ducki, Davide Venditti, Carla Montesano, Chiara Cipriani, Daniel Faria, Delphine Pflieger, Elisa Zago, Etienne Bardet, Filipa Serrano, Florian Jeanneret, Damien Alouges, Liangwei Yin, Elodine Coquelet, Apolline Bacquet, Francesco Bonchi, Francesco Maiorino, Francesco Torino, Georges Bedran, Jean-Alexandre Long, Laura Balbi, Laurent Guyon, Liana Bevilacqua, Manuel Fiorelli, Marie-Catherine Wagner, Mario Reyes, Mario Roselli, Marta Contreiras Silva, Michal Waleron, Nikolas Dovrolis, Odile Filhol-Cochet, In Hwa Um, Georg Wölflein, Patrícia Eugénio, Pauline Bazelle, Pavlos Golnas, Peter Thorpe, Pierluigi Bove, Piyush Borole, Roberta Bernardini, Rohit Kumar, Rosella Cicconi, Saskia Kaltenbrunner, Saverio Gravina, Simona Brezar, Stefan Symeonides, Steven McGinn, Susana Nunes, Ted Hupp, Yuri G. Gordienko, Dimitrios Varvaras, Sergii G. Stirenko, Luciano Xumerle, Stefania Mariani, Assilah Bouzit, Stéphane Gazut, Heiko Poth, Kyriakos Souliotis, Hector Katifelis, Elena Verzoni, Giuseppe Procopio, Sarah Schoch, Francisco Lupiáñez-Villanueva, Sandra Türk, Katarzyna Barud, Dimitri Koroliouk, Juan Caubet, Yamir Moreno, Jean-Luc Descotes, Christina Golna, Valentina Guadalupi, Paolo Garagnani, Maria Gazouli, Jean-François Deleuze, Frans Folkvord, Nikolaus Forgó, David J. Harrison, Håkan Axelson, Armando Stellato, Maurizio Mattei, Ajitha Rajan, Alexander Laird, Christophe Battail, Catia Pesquita, Fabio Massimo Zanzotto

Frontiers Digit. Health, 2025

MHCRule - Rule-based Model for Interpretable MHC Class I Binding Prediction.

Piyush Borole, Ajitha Rajan

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Can interpretability and accuracy coexist in cancer survival analysis?

Piyush Borole, Tongjie Wang, Antonio Vergari, Ajitha Rajan

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

Tracing Pain: Predictive Modeling for Migraine and Headache Triggers.

Israa Alqassem, Piyush Borole, Ammar Shaker, Ajitha Rajan

Proceedings of the 13th IEEE International Conference on Healthcare Informatics, 2025

2023

Neuronal Resilience and Calcium Signaling Pathways in the Context of Synapse Loss and Calcium Leaks: A Computational Modeling Study and Implications for Alzheimer's Disease.

Piyush Borole, James Rosado, Meirose Neal, Gillian Queisser

SIAM J. Appl. Math., December, 2023

Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks.

Aryo Pradipta Gema, Dominik Grabarczyk, Wolf De Wulf, Piyush Borole, Javier Antonio Alfaro, Pasquale Minervini, Antonio Vergari, Ajitha Rajan

CoRR, 2023

2020

Evolving genetic programming trees in a rule-based learning framework.

Siddharth Verma, Piyush Borole, Ryan J. Urbanowicz

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020