Paper Submission

The submission procedure is closed.

Important Dates

Accepted papers

• Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers (Khoa Nguyen and Sanjay Chawla)
• Prediction of quantiles by statistical learning and application to GDP forecasting (Pierre Alquier and Xiaoyin Li)
Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning (Francis Maes, Raphael Fonteneau, Louis Wehenkel and Damien Ernst)
• Towards Finding Relational Redescriptions (Esther Galbrun and Angelika Kimmig)
• Descriptive modeling of systemic banking crises (Dragan Gamberger, Drazen Lucanin and Tomislav Smuc)
• A Trim Distance between Positions in Nucleotide Sequences (Shunsuke Makino, Takaharu Shimada, Kouichi Hirata, Kouki Yonezawa and Kimihito Ito)
• Data Squashing for HSV Subimages by an Autonomous Mobile Robot (Einoshin Suzuki, Emi Matsumoto and Asuki Kouno)
• Cohesive Co-Evolution Patterns in Dynamic Attributed Graphs (Elise Desmier, Marc Plantevit, Celine Robardet and Jean-Francois Boulicaut)
• Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming (Rui Li and Stefan Kramer)
• HCAC: semi-supervised hierarchical clustering using confidence-based active learning (Bruno M. Nogueira, Alipio M. Jorge and Solange Rezende)
• LF-CARS: a Loose Fragment-based Consensus Clustering Algorithm with a Robust Similarity (Bi-Ru Dai and Chih-Heng Chung)
• Fast Approximation Algorithm for the 1-Median Problem (Koji Tabata, Atsuyoshi Nakamura and Mineichi Kudo)
• Online Co-Regularized Algorithms (Tom de Ruijter, Evgeni Tsivtsivadze and Tom Heskes)
• Fast Progressive Training of Mixture Models for Model Selection (Prem Raj Adhikari and Jaakko Hollmén)
• Including spatial relations and scales within sequential pattern extraction (Mickaël Fabrègue, Agnès Braud, Sandra Bringay, Florence Le Ber and Maguelonne Teisseire)
• Predicting Ramp Events with a Stream-based HMM framework (Carlos Ferreira, Joao Gama, Vítor Santos Costa, Vladimiro Miranda and Audun Botterud)
• Burst Detection in a Sequence of Tweets based on Information Diffusion Model (Kazumi Saito, Kouzou Ohara, Masahiro Kimura and Hiroshi Motoda)
• Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction (Johannes Fürnkranz and Sang-Hyeun Park)
• An Assessment on Loan Performance from Combined Quantitative and Qualitative Data in XML (Novita Ikasari and Fedja Hadzic)
• Structural Change Pattern Mining Based on Constrained Maximal k-Plex Search (Yoshiaki Okubo, Makoto Haraguchi and Etsuji Tomita)
• Enhancing Patent Expertise through Automatic Matching with Scientific Papers (Kafil Hajlaoui, Pascal Cuxac, Jean Charles Lamirel and Claire François)
• Soft Threshold Constraints for Pattern Mining (Willy Ugarte, Patrice Boizumault, Samir Loudni and Cremilleux Bruno)