Papers
Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos
Huisi Wu, Jiafu Zhong, Wei Wang et al.
Precision-based Boosting
Mohammad Hossein Nikravan, Marjan Movahedan, Sandra Zilles
Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans
Fatih Altay, Guillermo Ramón Sánchez, Yanli James et al.
Predicting Flashover Occurrence using Surrogate Temperature Data
Eugene Yujun Fu, Wai Cheong Tam, Jun Wang et al.
Predicting Forest Fire Using Remote Sensing Data And Machine Learning
Suwei Yang, Massimo Lupascu, Kuldeep S. Meel
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery
Jihyeon Lee, Dylan Grosz, Burak Uzkent et al.
Predicting Mining Industry Accidents with a Multitask Learning Approach
Rodolfo Palma, Luis Martí, Nayat Sánchez-Pi
Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning
Jonas Sonntag, Michael Engel, Lars Schmidt-Thieme
Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
Predictive Adversarial Learning from Positive and Unlabeled Data
Wenpeng Hu, Ran Le, Bing Liu et al.
Preference Elicitation as Average-Case Sorting
Dominik Peters, Ariel D. Procaccia
Preferred Explanations for Ontology-Mediated Queries under Existential Rules
İsmail İlkan Ceylan, Thomas Lukasiewicz, Enrico Malizia et al.
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
Minseok Kim, Hwanjun Song, Doyoung Kim et al.
Present-Biased Optimization
Fedor V. Fomin, Pierre Fraigniaud, Petr A. Golovach
Preserving Condorcet Winners under Strategic Manipulation
Sirin Botan, Ulle Endriss
Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction
Yan Lin, Huaiyu Wan, Shengnan Guo et al.
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract)
Danni Peng, Xiaobo Hu, Anxiang Zeng et al.
Proactive Privacy-preserving Learning for Retrieval
Peng-Fei Zhang, Zi Huang, Xin-Shun Xu
Probabilistic Dependency Graphs
Oliver Richardson, Joseph Y Halpern
Probabilistic Programming Bots in Intuitive Physics Game Play
Fahad Alhasoun, Sarah Alneghiemish
Probing Product Description Generation via Posterior Distillation
Haolan Zhan, Hainan Zhang, Hongshen Chen et al.
Programmatic Strategies for Real-Time Strategy Games
Julian R. H. Mariño, Rubens O. Moraes, Tassiana C. Oliveira et al.