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Publication search results
found 42 matches
- 2024
- Josua Stadelmaier, Brandon Malone, Ralf Eggeling:
Transfer Learning for T-Cell Response Prediction. CoRR abs/2403.12117 (2024) - 2021
- Jun Cheng
, Kaïdre Bendjama
, Karola Rittner, Brandon M. Malone
:
BERTMHC: improved MHC-peptide class II interaction prediction with transformer and multiple instance learning. Bioinform. 37(22): 4172-4179 (2021) - Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone:
A Relational-Learning Perspective To Multi-Label Chest X-Ray Classification. ISBI 2021: 1618-1622 - Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone:
A Relational-learning Perspective to Multi-label Chest X-ray Classification. CoRR abs/2103.06220 (2021) - 2020
- Stuart Mumford
, Nabil Freij
, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt
, Albert J. Shih
, Daniel Ryan
, Simon Liedtke, David Pérez-Suárez
, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz
, Rishabh Sharma, Andrew Leonard, David Stansby
, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will T. Barnes
, Michael Charlton, Shane A. Maloney
, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra
, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy
, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina
, Duygu Keskek, Ishtyaq Habib, Joseph Letts
, Juanjo Bazán
, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens
, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang
, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur
, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira
, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray:
SunPy: A Python package for Solar Physics. J. Open Source Softw. 5(46): 1832 (2020) - 2019
- A. Sargeant, Tatiana von Landesberger
, C. Baier, F. Bange, A. Dalpke, T. Eckmanns, Stephan Glöckner
, M. Kaase, Gérard Krause
, Michael Marschollek, Brandon M. Malone, Mathias Niepert, S. Rey, Antje Wulff, Simone Scheithauer:
Early Detection of Infection Chains & Outbreaks: Use Case Infection Control. EFMI-STC 2019: 245-246 - Aljoscha Kindermann, Ekaterina Stepanova, Hauke Hund, Nicolas Geis, Brandon Malone, Christoph Dieterich:
MedEx - Data Analytics for Medical Domain Experts in Real-Time. GMDS 2019: 142-149 - 2018
- Brandon M. Malone
, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto
, Petri Myllymäki
:
Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction. Mach. Learn. 107(1): 247-283 (2018) - Brandon M. Malone
, Alberto García-Durán, Mathias Niepert:
Knowledge Graph Completion to Predict Polypharmacy Side Effects. DILS 2018: 144-149 - Brandon M. Malone, Alberto García-Durán, Mathias Niepert:
Knowledge Graph Completion to Predict Polypharmacy Side Effects. CoRR abs/1810.09227 (2018) - Brandon M. Malone, Alberto García-Durán, Mathias Niepert:
Learning Representations of Missing Data for Predicting Patient Outcomes. CoRR abs/1811.04752 (2018) - 2017
- Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki
:
Duplicate Detection for Bayesian Network Structure Learning. New Gener. Comput. 35(1): 47-67 (2017) - Joe Suzuki, Antti Hyttinen, Brandon M. Malone:
Advanced Methodologies for Bayesian Networks 2017: Preface. AMBN 2017: 1-2 - Antti Hyttinen, Joe Suzuki, Brandon M. Malone:
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2017, Kyoto, Japan, September 20-22, 2017. Proceedings of Machine Learning Research 73, PMLR 2017 [contents] - Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki:
AS-ASL: Algorithm Selection with Auto-sklearn. OASC 2017: 19-22 - 2015
- Paul Saikko
, Brandon M. Malone, Matti Järvisalo
:
MaxSAT-Based Cutting Planes for Learning Graphical Models. CPAIOR 2015: 347-356 - Niklas Jahnsson, Brandon M. Malone, Petri Myllymäki
:
Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning. AMBN@JSAI-isAI 2015: 46-60 - Brandon Malone:
Empirical Behavior of Bayesian Network Structure Learning Algorithms. AMBN@JSAI-isAI 2015: 105-121 - Brandon M. Malone, Matti Järvisalo, Petri Myllymäki:
Impact of Learning Strategies on the Quality of Bayesian Networks: An Empirical Evaluation. UAI 2015: 562-571 - 2014
- Xiannian Fan, Changhe Yuan, Brandon M. Malone:
Tightening Bounds for Bayesian Network Structure Learning. AAAI 2014: 2439-2445 - Brandon M. Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, Petri Myllymäki:
Predicting the Hardness of Learning Bayesian Networks. AAAI 2014: 2460-2466 - Jeremias Berg, Matti Järvisalo, Brandon M. Malone:
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability. AISTATS 2014: 86-95 - Nitin Sukhija, Brandon M. Malone, Srishti Srivastava, Ioana Banicescu, Florina M. Ciorba
:
Portfolio-Based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning. IPDPS Workshops 2014: 1638-1647 - Xiannian Fan, Brandon M. Malone, Changhe Yuan:
Finding Optimal Bayesian Network Structures with Constraints Learned from Data. UAI 2014: 200-209 - 2013
- Changhe Yuan, Brandon M. Malone:
Learning Optimal Bayesian Networks: A Shortest Path Perspective. J. Artif. Intell. Res. 48: 23-65 (2013) - Brandon M. Malone, Changhe Yuan:
A Depth-First Branch and Bound Algorithm for Learning Optimal Bayesian Networks. GKR 2013: 111-122 - Srishti Srivastava, Brandon M. Malone, Nitin Sukhija, Ioana Banicescu, Florina M. Ciorba
:
Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network. ISPDC 2013: 3-10 - Brandon M. Malone, Changhe Yuan:
Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. UAI 2013 - Brandon M. Malone, Changhe Yuan:
Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. CoRR abs/1309.6844 (2013) - 2012
- Zhifa Liu, Brandon M. Malone, Changhe Yuan:
Empirical evaluation of scoring functions for Bayesian network model selection. BMC Bioinform. 13(S-15): S14 (2012)
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