IJCAI 2015

646 papers

CoBots: Robust Symbiotic Autonomous Mobile Service Robots

Manuela Veloso, Joydeep Biswas, Brian Coltin, Stephanie Rosenthal

Activity-Based Scheduling of Science Campaigns for the Rosetta Orbiter

Steve Chien, Gregg Rabideau, Daniel Tran, Martina Troesch, Joshua Doubleday

Improvements of Symmetry Breaking During Search

Zichen Zhu

Inference and Learning for Probabilistic Description Logics

Riccardo Zese

Approximate Algorithms for Stochastic Network Design

xiaojian wu

The Spatio-Temporal Representation of Natural Reading

Leila Wehbe

Quantifying and Improving the Robustness of Trust Systems

Dongxia Wang

Rational Architecture = Architecture from a Recommender Perspective

Marc van Zee

Feature Selection for Multi-Label Learning

Newton Spolaôr, Maria Carolina Monard, Huei Diana Lee

Unleashing the Power of Multi-Agent Voting Teams

Leandro Soriano Marcolino

Normative Practical Reasoning: An Argumentation-Based Approach

Zohreh Shams

An Intelligent and Unified Framework for Multiple Robot and Human Coalition Formation

Sayan Dev Sen

Dynamic Execution of Temporal Plans with Sensing Actions and Bounded Risk

Pedro Henrique Santana, Brian C. Williams

Automated Agents for Advice Provision

Ariel Rosenfeld

Efficient Methods for Multi-Objective Decision-Theoretic Planning

Diederik Marijn Roijers

Advances in Nonparametric Hypothesis Testing

Aaditya Ramdas

Automatic Extraction of References to Future Events from News Articles Using Semantic and Morphological Information

Yoko Nakajima

Using Small Humanoid Robots to Detect Autism in Toddlers

Marie D. Manner

Towards More Practical Reinforcement Learning

Travis Mandel

Flexible Scheduling for an Agile Earth-Observing Satelllite

Adrien Maillard

Abstract Argumentation Frameworks — From Theoretical Insights to Practical Implications

Thomas Linsbichler

Diagnosis of Technical Systems

Roxane Koitz, Franz Wotawa

Multi-Robot Exploration with Communication Restrictions

Elizabeth A. Jensen

Artificial Prediction Markets for Online Prediction

Fatemeh Jahedpari

Exploiting Trust Information to Cope with Malicious Entities in Multi-Agent Systems

Athirai A. Irissappane

On the Static Analysis for SPARQL Queries Using Modal Logic

Nicola Guido

Statistical Relational Learning Towards Modelling Social Media Users

Golnoosh Farnadi

Bipartite Graph for Topic Extraction

Thiago de Paulo Faleiros, Alneu de Andrade Lopes

RoTuEl: A Semi-Automated Method for Labeling Political Tweets

Wilton de Paula Filho, Ana Cristina Bicharra Garcia

Learning Efficient Logic Programs

Andrew Cropper

Information Extraction of Texts in the Biomedical Domain

Viviana Cotik

Models for Conditional Preferences as extensions of CP-nets

Cristina Cornelio

A Distributed Platform to Ease the Development of Recommendation Algorithms on Large-Scale Graphs

Alejandro Corbellini

Distribution of UCT and Its Ramifications

Marc Yu-San Chee

A Cognitively Inspired Approach for Knowledge Representation and Reasoning in Knowledge-Based Systems

Joel Luis Carbonera, Mara Abel

Encoding and Combining Knowledge to Speed up Reinforcement Learning

Tim Brys

Stochastic Density Ratio Estimation and Its Application to Feature Selection

Igor Braga

Graph Construction for Semi-Supervised Learning

Lilian Berton, Alneu de Andrade Lopes

Expressive Rule-Based Stream Reasoning

Harald Beck

Online Fair Division

Martin Damyanov Aleksandrov

Speedy versus Greedy Search

Christopher Makoto Wilt, Wheeler Ruml

Max Is More than Min: Solving Maximization Problems with Heuristic Search

Roni Stern, Scott Kiesel, Rami Puzis, Ariel Felner, Wheeler Ruml

Examples and Tutored Problems: Adaptive Support Using Assistance Scores

Amir Shareghi Najar, Antonija Mitrovic, Bruce McLaren

Reasoning with Probabilistic Ontologies

Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese

Heuristics for Cost-Optimal Classical Planning Based on Linear Programming

Florian Pommerening, Gabriele Röger, Malte Helmert, Blai Bonet

Matching and Grokking: Approaches to Personalized Crowdsourcing

Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, Adam Tauman Kalai

Firefly Monte Carlo: Exact MCMC with Subsets of Data

Dougal Maclaurin, Ryan Prescott Adams

How to Define Certain Answers

Leonid Libkin

Near-Optimal Approximation Mechanisms for Multi-Unit Combinatorial Auctions

Piotr Krysta, Orestis Telelis, Carmine Ventre

Adapting to User Preference Changes in Interactive Recommendation

Negar Hariri, Bamshad Mobasher, Robin Burke

Trust-Guided Behavior Adaptation Using Case-Based Reasoning

Michael Floyd, Michael Drinkwater, David Aha

Exploiting Separability in Multiagent Planning with Continuous-State MDPs (Extended Abstract)

Jilles Steeve Dibangoye, Christopher Amato, Olivier Buffet, François Charpillet

Description Logic Based Dynamic Systems: Modeling, Verification, and Synthesis

Diego Calvanese, Marco Montali, Fabio Patrizi, Giuseppe De Giacomo

When Are Description Logic Knowledge Bases Indistinguishable?

Elena Botoeva, Roman Kontchakov, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev

Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract

Jie Yin, Sarvnaz Karimi, Andrew Lampert, Mark Cameron, Bella Robinson

Feature Ensemble Plus Sample Selection: Domain Adaptation for Sentiment Classification (Extended Abstract)

Rui Xia, Chengqing Zong, Xuelei Hu, Erik Cambria

Inapproximability of Treewidth and Related Problems (Extended Abstract)

Yu Wu, Per Austrin, Toniann Pitassi, David Liu

On the Testability of BDI Agent Systems (Extended Abstract)

Michael Winikoff, Stephen Cranefield

Continuous Body and Hand Gesture Recognition for Natural Human-Computer Interaction: Extended Abstract

Yale Song, Randall Davis

Norms as a Basis for Governing Sociotechnical Systems: Extended Abstract

Munindar P. Singh

Phrase Detectives: Utilizing Collective Intelligence for Internet-Scale Language Resource Creation (Extended Abstract)

Massimo Poesio, Jon Chamberlain, Udo Kruschwitz, Livio Robaldo, Luca Ducceschi

Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract)

Frank Hutter, Lin Xu, Holger Hoos, Kevin Leyton-brown

Measuring and Recommending Time-Sensitive Routes from Location-based Data

Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin

Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics (Extended Abstract)

Micah Hodosh, Peter Young, Julia Hockenmaier

kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract)

Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave

The Complexity of Manipulative Attacks in Nearly Single-Peaked Electorates (Extended Abstract)

Piotr Faliszewski, Edith Hemaspaandra, Lane A. Hemaspaandra

Complexity-Sensitive Decision Procedures for Abstract Argumentation (Extended Abstract)

Wolfgang Dvořák, Matti Järvisalo, Johannes Peter Wallner, Stefan Woltran

Common Sense Reasoning for Detection, Prevention, and Mitigation of Cyberbullying (Extended Abstract)

Karthik Dinakar, Rosalind Picard, Henry Lieberman

Data Complexity of Query Answering in Description Logics (Extended Abstract)

Diego Calvanese, Giuseppe De Giacomo, Domenico Lembo, Maurizio Lenzerini, Riccardo Rosati

Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT (Extended Abstract)

Cristina Bosco, Viviana Patti, Andrea Bolioli

Influencing Individually: Fusing Personalization and Persuasion (Extended Abstract)

Shlomo Berkovsky, Jill Freyne, Harri Oinas-Kukkonen

The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract)

Marc Bellemare, Yavar Naddaf, Joel Veness, Michael Bowling

Constitutive and Regulative Specifications of Commitment Protocols: A Decoupled Approach (Extended Abstract)

Matteo Baldoni, Cristina Baroglio, Elisa Marengo, Viviana Patti

Capturing a Musician's Groove: Generation of Realistic Accompaniments from Single Song Recordings

Mathieu Ramona, Giordano Cabral, François Pachet

Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation

Qi Lyu, Zhiyong Wu, Jun Zhu, Helen Meng

Max Order: A Tale of Creativity

Fiammetta Ghedini, François Pachet, Pierre Roy

Evolving Families of Shapes

Filipe Assunção, João Correia, Pedro Martins, Penousal Machado

Adaptive Dropout Rates for Learning with Corrupted Features

Jingwei Zhuo, Jun Zhu, Bo Zhang

Supervised Representation Learning: Transfer Learning with Deep Autoencoders

Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He

Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization

Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen

Recovery of Corrupted Multiple Kernels for Clustering

Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen

MUVIR: Multi-View Rare Category Detection

Dawei Zhou, Jingrui He, K. Seluk Candan, Hasan Davulcu

Instance-Wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters

Xiaodong Zheng, Shanfeng Zhu, Junning Gao, Hiroshi Mamitsuka

Mobile Query Recommendation via Tensor Function Learning

Zhou Zhao, Ruihua Song, Xing Xie, Xiaofei He, Yueting Zhuang

Dual-Regularized Multi-View Outlier Detection

Handong Zhao, Yun Fu

Self-Adaptive Hierarchical Sentence Model

Han Zhao, Zhengdong Lu, Pascal Poupart

Semi-Supervised Multi-Label Learning with Incomplete Labels

Feipeng Zhao, Yuhong Guo

Multi-Task Multi-View Clustering for Non-Negative Data

Xianchao Zhang, Xiaotong Zhang, Han Liu

Solving the Partial Label Learning Problem: An Instance-Based Approach

Min-ling Zhang, Fei Yu

Towards Class-Imbalance Aware Multi-Label Learning

Min-ling Zhang, Yu-Kun Li, Xu-Ying Liu

Increasingly Cautious Optimism for Practical PAC-MDP Exploration

Liangpeng Zhang, Ke Tang, Xin Yao

A Direct Boosting Approach for Semi-supervised Classification

Shaodan Zhai, Tian Xia, Zhongliang Li, Shaojun Wang

Matrix Factorization with Scale-Invariant Parameters

Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen

Unsupervised Machine Condition Monitoring Using Segmental Hidden Markov Models

Chao Yuan

Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion

Quanming Yao, James T. Kwok

Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition

Jianbo Yang, Minh Nhut Nguyen, Phyo Phyo San, Xiao Li Li, Shonali Krishnaswamy

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search

Yan Yan, Mingkui Tan, Ivor Tsang, Yi Yang, Chengqi Zhang

Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison

Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu

Multi-view Self-Paced Learning for Clustering

Chang Xu, Dacheng Tao, Chao Xu

Perception Evolution Network Adapting to the Emergence of New Sensory Receptor

Youlu Xing, Furao Shen, Jinxi Zhao