Lisa Di-Jorio

23 papers A* 1B 1Misc 1Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Precision-Weighted Federated Learning.
Comput. Intell.
Jonatan Reyes, Lisa Di-Jorio, Cécile Low-Kam, Marta Kersten-Oertel
2021 J jnl
Application of Homomorphic Encryption in Medical Imaging.
CoRR
Francis Dutil, Alexandre See, Lisa Di-Jorio, Florent Chandelier
2021 Misc conf
CMIM: Cross-Modal Information Maximization For Medical Imaging.
ICASSP
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio
2021 J jnl
Precision-Weighted Federated Learning.
CoRR
Jonatan Reyes, Lisa Di-Jorio, Cécile Low-Kam, Marta Kersten-Oertel
2020 J jnl
Cross-Modal Information Maximization for Medical Imaging: CMIM.
CoRR
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di-Jorio, Margaux Luck, R. Devon Hjelm, Yoshua Bengio
2020 J jnl
Learn Faster and Forget Slower via Fast and Stable Task Adaptation.
CoRR
Farshid Varno, Lucas May Petry, Lisa Di-Jorio, Stan Matwin
2019 A* conf
Dual Adversarial Inference for Text-to-Image Synthesis.
ICCV
Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens
2019 J jnl
Dual Adversarial Inference for Text-to-Image Synthesis.
CoRR
Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens
2019 J jnl
Efficient Neural Task Adaptation by Maximum Entropy Initialization.
CoRR
Farshid Varno, Behrouz Haji Soleimani, Marzie Saghayi, Lisa Di-Jorio, Stan Matwin
2019 — conf
InfoMask: Masked Variational Latent Representation to Localize Chest Disease.
MICCAI (6)
Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio
2019 J jnl
InfoMask: Masked Variational Latent Representation to Localize Chest Disease.
CoRR
Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio
2018 J jnl
Learning normalized inputs for iterative estimation in medical image segmentation.
Medical Image Anal.
Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Mahsa Shakeri, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury
2017 J jnl
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation.
CoRR
Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Lisa Di-Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury
2011 J jnl
Des blocs de données aux motifs graduels multidimensionnels.
Tech. Sci. Informatiques
Lisa Di-Jorio
2010 J jnl
Fouille de données issues d'études psychologiques liées au vieillissement. Extraction de règles graduelles.
Tech. Sci. Informatiques
Lisa Di-Jorio, Sandra Bringay, Denis Brouillet, Sophie Martin, Maguelonne Teisseire
2010 — —
Recherche de motifs graduels et application aux données médicales. (Gradual patterns extraction and application to health data).
Lisa Di-Jorio
2009 — conf
CBGP: Classification Based on Gradual Patterns.
SoCPaR
Yeow Wei Choong, Lisa Di-Jorio, Anne Laurent, Dominique Laurent, Maguelonne Teisseire
2009 — conf
Extraction efficace de règles graduelles.
EGC
Lisa Di-Jorio, Anne Laurent, Maguelonne Teisseire
2009 B conf
Mining Frequent Gradual Itemsets from Large Databases.
IDA
Lisa Di-Jorio, Anne Laurent, Maguelonne Teisseire
2009 — conf
Règles graduelles et cubes de données : quand les blocs s'empilent !.
EDA
Lisa Di-Jorio, Yeow Wei Choong, Anne Laurent, Maguelonne Teisseire
2008 — conf
Fast extraction of gradual association rules: a heuristic based method.
CSTST
Lisa Di-Jorio, Anne Laurent, Maguelonne Teisseire
2008 — conf
Sequential Patterns for Maintaining Ontologies over Time.
OTM Conferences (2)
Lisa Di-Jorio, Sandra Bringay, Céline Fiot, Anne Laurent, Maguelonne Teisseire
2007 — conf
Enrichissement d'ontologie: Quand les motifs séquentiels labellisent des relations.
BDA
Lisa Di-Jorio, Céline Fiot, Lylia Abrouk, Danièle Hérin, Maguelonne Teisseire