Presentations and Authors


Last name A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Track:
 

Artificial Intelligence Applied to Assistive Technologies and Smart Environments

Healthcare Decision Support Systems at Home PDF
Tom Croonenborghs, Stijn Luca, Peter Karsmakers, Bart Vanrumste
Recognizing Blind Spot Check Activity with Car Drivers Based on Decision Tree Classifier Approach PDF
Colombiano Kedowide, Charles Gouin-Vallerand, Evelyne Vallieres
Towards Guideline Compliant Clinical Decision Support System Integration in Smart and Mobile Environments: Formalizing and Using Clinical Guidelines for Diagnosing Sleep Apnea PDF
Patrice C. Roy, Newres Al Haider, William Van Woensel, Ahmad Marwan Ahmad, Syed Sibte Raza Abidi

Cognitive Computing for Augmented Human Intelligence

Preface PDF
Biplav Srivastava, Aurelie Lozano, Janusz Marecki, Irina Rish, Ruslan Salakhudtinov, Gerald Tesauro, Manuela Veloso

Machine Learning for Interactive Systems

Preface PDF
Heriberto Cuayáhuitl, Lutz Frommberger, Nina Dethlefs, Martijn van Otterlo

Modern Artificial Intelligence for Health Analytics

Crowdsourcing a Comprehensive Clinical Trial Repository PDF
Gert van Valkenhoef, Joël Kuiper

Multidisciplinary Workshop on Advances in Preference Handling

Preface PDF
Darius Braziunas, Markus Endres, K. Brent Venable, Paul Weng, Lirong Xia
Controlling Elections by Replacing Candidates: Theoretical and Experimental Results PDF
Andrea Loreggia, Nina Narodytska, Francesca Rossi, K. Brent Venable, Toby Walsh

Semantic Cities: Beyond Open Data to Models, Standards and Reasoning

Profiling and Prediction of Non-Emergency Calls in NYC PDF
Yilong Frank Zha, Manuela Veloso

Sequential Decision Making with Big Data

Spectral Bandits for Smooth Graph Functions with Applications in Recommender Systems PDF
Tomáš Kocák, Michal Valko, Rémi Munos, Branislav Kveton, Shipra Agrawal

Statistical Relational AI

Preface PDF
Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan, David Poole
Parameter Estimation for Relational Kalman Filtering PDF
Jaesik Choi, Eyal Amir, Tianfang Xu, Albert J. Valocchi
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting PDF
Eric Gribkoff, Guy Van den Broeck, Dan Suciu
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics PDF
Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming PDF
Sebastian Robert Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktaeschel, Larysa Visengeriyeva, Jan Noessner
Evidence-Based Clustering for Scalable Inference in Markov Logic PDF
Deepak Venugopal, Vibhav Gogate
Solving Distributed Constraint Optimization Problems Using Ranks PDF
Mihaela Verman, Philip Stutz, Abraham Bernstein
Efficient Probabilistic Inference for Dynamic Relational Models PDF
Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt