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Publication search results
found 63 matches
- 2021
- Didulani Acharige, Eric Johlin:
Machine learning and artificial neural networks for improved algorithmic design of nanophotonic structures. Canadian AI 2021 - Mahtab Ahmed, Robert E. Mercer:
Encoding Dependency Information inside Tree Transformer. Canadian AI 2021 - Zohreh Alamatian, Majid Vafaei Jahan, Amin Milani Fard:
Using Market Indicators to Eliminate Local Trends for Financial Time Series Cross-Correlation Analysis. Canadian AI 2021 - Farzana Anowar, Samira Sadaoui:
Incremental Learning with Self-labeling of Incoming High-dimensional Data. Canadian AI 2021 - Sharik Ali Ansari, Koteswar Rao Jerripothula, Pragya Nagpal, Ankush Mittal:
Eye-focused Detection of Bell's Palsy in Videos. Canadian AI 2021 - Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs:
Topic Models for Assessment of Mental Health Issues. Canadian AI 2021 - Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs:
Topic Modeling in Embedding Spaces for Depression Assessment. Canadian AI 2021 - Tasha Baller, Kaelen Bennett, Howard J. Hamilton:
Transfer Learning and Language Model Adaption for Low Resource Speech Recognition. Canadian AI 2021 - Nicky Bayat, Vahid Reza Khazaie, Andrew Keyes, Yalda Mohsenzadeh:
Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection. Canadian AI 2021 - Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn:
Active Measure Reinforcement Learning for Observation Cost Minimization. Canadian AI 2021 - Mohamed Benabdelkrim, Céline Robardet, Jean Savinien:
Leveraging semantic for community mining in multilayer networks. Canadian AI 2021 - Théophile Berteloot:
Extracting Interesting Sequence Association Rules from a High-Dimensional Healthcare Dataset using Multiobjective Metaheuristics. Canadian AI 2021 - Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction. Canadian AI 2021 - Éloi Brassard-Gourdeau, Richard Khoury:
Using Sentiment Information for Preemptive Detection of Harmful Comments in Online Conversations. Canadian AI 2021 - Kartik Chaudhary, Raghav Bali:
EASTER: Simplifying Text Recognition using only 1D Convolutions. Canadian AI 2021 - Anubhav Chhabra, Tirumala Sree Akhil Nandyala, Paula Branco:
HEAL: Heterogeneous Ensemble and Active Learning Framework. Canadian AI 2021 - Lynda Dib:
Interpretability of polypharmacy deep-learning models. Canadian AI 2021 - Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Jun Chu, Sargur N. Srihari:
Ultra Efficient Transfer Learning with Meta Update for Continuous EEG Classification Across Subjects. Canadian AI 2021 - Sri Harsha Dumpala, Sageev Oore:
Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion. Canadian AI 2021 - Benjamin Ertl, Jörg Meyer, Matthias Schneider, Achim Streit:
Semi-Supervised Time Point Clustering for Multivariate Time Series. Canadian AI 2021 - Farhood Farahnak, Elham Mohammadi, MohammadReza Davari, Leila Kosseim:
Semantic Similarity Matching Using Contextualized Representations. Canadian AI 2021 - Yufei Feng, Michael A. Greenspan, Xiaodan Zhu:
Enhancing Pretrained Models with Domain Knowledge. Canadian AI 2021 - Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. Canadian AI 2021 - Jérémy Foxcroft, Tianle Chen, Kanchana Padmanabhan, Brian Keng, Luiza Antonie:
Product Matching Lessons and Recommendations from a Real World Application. Canadian AI 2021 - Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan:
Driving Scene Understanding: How much temporal context and spatial resolution is necessary? Canadian AI 2021 - Guillaume Desmarais-de Grandpré:
Patient representation learning from EHR data. Canadian AI 2021 - Mahmud Hasan:
An AI Approach for Reducing Residual Motion and Noise from Myocardial Perfusion for Assessment of Coronary Artery Disease. Canadian AI 2021 - Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau:
Understanding Capacity Saturation in Incremental Learning. Canadian AI 2021 - Aaron Hunter:
On the Use of Causal Rules to Specify How Trust Impacts Change in Knowledge and Belief. Canadian AI 2021 - Amirabbas Jalali, Roy Ka-Wei Lee:
Hierarchical Expert Recommendation on Community Question Answering Platforms. Canadian AI 2021
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