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ORCIDCLEF 2017: Dublin, Ireland - Working Notes
- Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, Thomas Mandl:
Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, Dublin, Ireland, September 11-14, 2017. CEUR Workshop Proceedings 1866, CEUR-WS.org 2017
CLEF NewsREEL
- Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Torben Brodt:
CLEF 2017 NewsREEL Overview: Offline and Online Evaluation of Stream-based News Recommender Systems. - Paul David Beck, Manuel Blaser, Adrian Michalke, Andreas Lommatzsch:
A System for Online News Recommendations in Real-Time with Apache Mahout. - Pieter Bons, Nick Evans, Peter Kampstra, Timo van Kessel:
A News Recommender Engine with a Killer Sequence. - Christián Golian, Jaroslav Kuchar:
News Recommender System based on Association Rules @ CLEF NewsREEL 2017. - Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Neural Architecture for News Recommendation. - Yu Liang, Babak Loni, Martha A. Larson:
CLEF NewsREEL 2017: Contextual Bandit News Recommendation. - Cornelius A. Ludmann:
Recommending News Articles in the CLEF News Recommendation Evaluation Lab with the Data Stream Management System Odysseus.
LifeCLEF
- Hervé Goëau, Hervé Glotin, Willem-Pier Vellinga, Bob Planqué, Alexis Joly:
LifeCLEF Bird Identification Task 2017. - Hervé Goëau, Pierre Bonnet, Alexis Joly:
Plant Identification Based on Noisy Web Data: the Amazing Performance of Deep Learning (LifeCLEF 2017). - Sara Atito, Berrin A. Yanikoglu, Erchan Aptoula:
Plant Identification with Large Number of Classes: SabanciU-GebzeTU System in PlantCLEF 2017. - Botond Fazekas, Alexander Schindler, Thomas Lidy:
A Multi-modal Deep Neural Network approach to Bird-song Identication. - Andreas Fritzler, Sven Koitka, Christoph M. Friedrich:
Recognizing Bird Species in Audio Files Using Transfer Learning. - Siang Thye Hang, Masaki Aono:
Residual Network with Delayed Max Pooling for Very Large Scale Plant Identification. - S. M. Jaisakthi, Palaniappan Mirunalini, Rutuja Jadhav:
Automatic Whale Matching System using Feature Descriptor. - Stefan Kahl, Thomas Wilhelm-Stein, Hussein Hussein, Holger Klinck, Danny Kowerko, Marc Ritter, Maximilian Eibl:
Large-Scale Bird Sound Classification using Convolutional Neural Networks. - Mario Lasseck:
Image-based Plant Species Identification with Deep Convolutional Neural Networks. - Sue Han Lee, Yang Loong Chang, Chee Seng Chan:
LifeClef 2017 Plant Identification Challenge: Classifying Plants using Generic-Organ Correlation Features. - Andreas R. Ludwig, Helga Piorek, Andreas H. Kelch, David Rex, Sven Koitka, Christoph M. Friedrich:
Improving Model Performance for Plant Image Classification With Filtered Noisy Images. - Dávid Papp, Ferenc Mogyorósi, Gábor Szücs:
Image Matching for Individual Recognition with SIFT, RANSAC and MCL. - Antoine Sevilla, Hervé Glotin:
Audio Bird Classification with Inception-v4 extended with Time and Time-Frequency Attention Mechanisms. - Alexandru Toma, Liviu-Daniel Stefan, Bogdan Ionescu:
UPB HES SO @ PlantCLEF 2017: Automatic Plant Image Identification using Transfer Learning via Convolutional Neural Networks. - Peiqin Zhuang, Linjie Xing, Yanlin Liu, Sheng Guo, Yu Qiao:
Marine Animal Detection and Recognition with Advanced Deep Learning Models. - Milan Sulc, Jiri Matas:
Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition.
PAN Lab on Digital Text Forensics
- Matthias Hagen, Martin Potthast, Benno Stein:
Overview of the Author Obfuscation Task at PAN 2017: Safety Evaluation Revisited. - Francisco Manuel Rangel Pardo, Paolo Rosso, Martin Potthast, Benno Stein:
Overview of the 5th Author Profiling Task at PAN 2017: Gender and Language Variety Identification in Twitter. - Michael Tschuggnall, Efstathios Stamatatos, Ben Verhoeven, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
Overview of the Author Identification Task at PAN-2017: Style Breach Detection and Author Clustering. - Yaritza Adame Arcia, Daniel Castro-Castro, Reynier Ortega Bueno, Rafael Muñoz:
Author Profiling, instance-based Similarity Classification. - Liliya Akhtyamova, John Cardiff, Andrey Ignatov:
Twitter Author Profiling Using Word Embeddings and Logistic Regression. - Houda Alberts:
Author clustering with the Aid of a Simple Distance Measure. - Khaled Alrifai, Ghaida Rebdawi, Nada Ghneim:
Arabic Tweeps Gender and Dialect Prediction. - Oleg Yu. Bakhteev, Andrey Khazov:
Author Masking using Sequence-to-Sequence Models. - Angelo Basile, Gareth Dwyer, Maria Medvedeva, Josine Rawee, Hessel Haagsma, Malvina Nissim:
N-GrAM: New Groningen Author-profiling Model. - Yasmany García-Mondeja, Daniel Castro-Castro, Vania Lavielle-Castro, Rafael Muñoz:
Discovering Author Groups using a B-compact graph-based Clustering. - Daniel Castro-Castro, Reynier Ortega Bueno, Rafael Muñoz:
Author Masking by Sentence Transformation. - Alina Maria Ciobanu, Marcos Zampieri, Shervin Malmasi, Liviu P. Dinu:
Including Dialects and Language Varieties in Author Profiling. - Marc Franco-Salvador, Nataliia Plotnikova, Neha Pawar, Yassine Benajiba:
Subword-based Deep Averaging Networks for Author Profiling in Social Media. - Helena Gómez-Adorno, Yuridiana Alemán, Darnes Vilariño Ayala, Miguel A. Sanchez-Perez, David Pinto, Grigori Sidorov:
Author Clustering using Hierarchical Clustering Analysis. - Oren Halvani, Lukas Graner:
Author Clustering based on Compression-based Dissimilarity Scores. - Daniel Karas, Martyna Spiewak, Piotr Sobecki
:
OPI-JSA at CLEF 2017: Author Clustering and Style Breach Detection. - Jamal Ahmad Khan:
Author Profile Prediction Using Trend and Word Frequency Based Analysis in Text. - Jamal Ahmad Khan:
Style Breach Detection: An Unsupervised Detection Model. - Guillaume Kheng, Léa Laporte, Michael Granitzer:
INSA LYON and UNI PASSAU's Participation at PAN@CLEF'17: Author Profiling task. - Mirco Kocher, Jacques Savoy:
UniNE at CLEF 2017: Author Clustering. - Mirco Kocher, Jacques Savoy:
UniNE at CLEF 2017: Author Profiling Reasoning. - Don Kodiyan, Florin Hardegger, Stephan Neuhaus, Mark Cieliebak:
Author Profiling with Bidirectional RNNs using Attention with GRUs. - Adrián Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Thamar Solorio:
Social-Media Users can be profiled by their Similarity with other Users. - Ilia Markov, Helena Gómez-Adorno, Grigori Sidorov:
Language- and Subtask-Dependent Feature Selection and Classifier Parameter Tuning for Author Profiling. - Matej Martinc, Iza Skrjanec, Katja Zupan, Senja Pollak:
PAN 2017: Author Profiling - Gender and Language Variety Prediction. - Yasuhide Miura, Tomoki Taniguchi, Motoki Taniguchi, Tomoko Ohkuma:
Author Profiling with Word+Character Neural Attention Network. - Alexander Ogaltsov, Alexey Romanov:
Language Variety and Gender Classification for Author Profiling in PAN 2017. - Rodrigo Ribeiro Oliveira, Rosalvo Ferreira Oliveira Neto:
Using Character n-grams and Style Features for Gender and Language Variety Classification. - Adam Poulston, Zeerak Waseem, Mark Stevenson:
Using TF-IDF n-gram and Word Embedding Cluster Ensembles for Author Profiling. - Kamil Safin, Rita Kuznetsova:
Style Breach Detection with Neural Sentence Embeddings. - Nils Schaetti:
UniNE at CLEF 2017: TF-IDF and Deep-Learning for Author Profiling. - Sebastián Sierra, Manuel Montes-y-Gómez, Thamar Solorio, Fabio A. González:
Convolutional Neural Networks for Author Profiling in PAN 2017. - Eric Sadit Tellez, Sabino Miranda-Jiménez, Mario Graff, Daniela Moctezuma:
Gender and language-variety Identification with MicroTC.
CLEF eHealth Evaluation Lab
- Aurélie Névéol, Aude Robert, Robert Anderson, Kevin Bretonnel Cohen, Cyril Grouin, Thomas Lavergne, Grégoire Rey, Claire Rondet, Pierre Zweigenbaum:
CLEF eHealth 2017 Multilingual Information Extraction task Overview: ICD10 Coding of Death Certificates in English and French. - Evangelos Kanoulas, Dan Li, Leif Azzopardi, René Spijker:
CLEF 2017 Technologically Assisted Reviews in Empirical Medicine Overview. - João R. M. Palotti, Guido Zuccon, Jimmy, Pavel Pecina, Mihai Lupu, Lorraine Goeuriot, Liadh Kelly, Allan Hanbury:
CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search. - Ghislain Auguste Atemezing:
NoNLP: Annotating Medical Domain by using Semantic Technologies. - Chloé Cabot, Lina Fatima Soualmia, Stéfan Jacques Darmoni:
SIBM at CLEF eHealth Evaluation Lab 2017: Multilingual Information Extraction with CIM-IND. - Giorgio Maria Di Nunzio, Federica Beghini, Federica Vezzani, Geneviève Henrot:
A Lexicon Based Approach to Classification of ICD10 Codes. IMS Unipd at CLEF eHealth Task 1. - Mike Ebersbach, Robert Herms, Maximilian Eibl:
Fusion Methods for ICD10 Code Classification of Death Certificates in Multilingual Corpora. - Lydia-Mai Ho-Dac, Cécile Fabre, Anouk Birski, Imane Boudraa, Aline Bourriot, Manon Cassier, Léa Delvenne, Charline Garcia-Gonzalez, Eun-Bee Kang, Elisa Piccinini, Camille Rohrbacher, Aure Séguier:
LITL at CLEF eHealth2017: Automatic Classification of Death Reports. - Jitendra Jonnagaddala, Feiyan Hu:
Automatic Coding of Death Certificates to ICD-10 Terminology. - Zulfat Miftahutdinov, Elena Tutubalina:
KFU at CLEF eHealth 2017 Task 1: ICD-10 Coding of English Death Certificates with Recurrent Neural Networks. - Jurica Seva, Madeleine Kittner, Roland Roller, Ulf Leser:
Multi-lingual ICD-10 Coding using a Hybrid rule-based and Supervised Classification Approach at CLEF eHealth 2017. - Andon Tchechmedjiev, Amine Abdaoui, Vincent Emonet, Clément Jonquet:
ICD10 Coding of Death Certificates with the NCBO and SIFR Annotator(s) at CLEF eHealth 2017 Task 1. - Pierre Zweigenbaum, Thomas Lavergne:
Multiple Methods for Multi-class, Multi-label ICD-10 Coding of Multi-granularity, Multilingual Death Certificates. - Amal Alharbi, Mark Stevenson:
Ranking Abstracts to Identify Relevant Evidence for Systematic Reviews: The University of Sheffield's Approach to CLEF eHealth 2017 Task 2. - Leif Azzopardi, Vassil Kalphov, Georgios Georgiadis:
SiS at CLEF 2017 eHealth TAR Task. - Jiayi Chen, Su Chen, Yang Song, Hongyu Liu, Yueyao Wang, Qinmin Hu, Liang He:
ECNU at 2017 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine. - Gordon V. Cormack, Maura R. Grossman:
Technology-Assisted Review in Empirical Medicine: Waterloo Participation in CLEF eHealth 2017. - Giorgio Maria Di Nunzio, Federica Beghini, Federica Vezzani, Geneviève Henrot:
An Interactive Two-Dimensional Approach to Query Aspects Rewriting in Systematic Reviews. IMS Unipd At CLEF eHealth Task 2. - Grace Eunkyung Lee:
A Study of Convolutional Neural Networks for Clinical Document Classification in Systematic Reviews: SysReview at CLEF eHealth 2017. - Christopher R. Norman, Mariska M. G. Leeflang, Aurélie Névéol:
LIMSI@CLEF eHealth 2017 Task 2: Logistic Regression for Automatic Article Ranking. - Harrisen Scells, Guido Zuccon, Anthony Deacon, Bevan Koopman:
QUT ielab at CLEF 2017 Technology Assisted Reviews Track: Initial Experiments with Learning To Rank. - Jaspreet Singh, Lini Thomas:
IIIT-H at CLEF eHealth 2017 Task 2: Technologically Assisted Reviews in Empirical Medicine. - Gaurav Singh, Iain James Marshall, James Thomas, Byron C. Wallace:
Identifying Diagnostic Test Accuracy Publications using a Deep Model. - Allard J. van Altena, Sílvia Delgado Olabarriaga:
Predicting Publication Inclusion for Diagnostic Accuracy Test Reviews Using Random Forests and Topic Modelling. - Zhe Yu, Tim Menzies:
Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting. - Antonios Anagnostou, Athanasios Lagopoulos, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews. - Manuel Carlos Díaz-Galiano, María Teresa Martín-Valdivia, Salud María Jiménez Zafra, Alberto Andreu-Marín, Luis Alfonso Ureña López:
SINAI at CLEF eHealth 2017 Task 3. - Noah Hollmann, Carsten Eickhoff:
Ranking and Feedback-based Stopping for Recall-Centric Document Retrieval. - Jimmy, Guido Zuccon, Bevan Koopman:
QUT ielab at CLEF 2017 e-Health IR Task: Knowledge Base Retrieval for Consumer Health Search. - Heung-Seon Oh, Yuchul Jung:
KISTI at CLEF eHealth 2017 Patient-Centered Information Retrieval Task-1: Improving Medical Document Retrieval with Query Expansion. - João R. M. Palotti, Navid Rekabsaz:
Exploring Understandability Features to Personalize Consumer Health Search. TUW at CLEF 2017 eHealth. - Shadi Saleh, Pavel Pecina:
Task3 Patient-Centred Information Retrieval: Team CUNI. - Edwin Thuma, Nkwebi Peace Motlogelwa, Tebo Leburu-Dingalo:
UB-Botswana Participation to CLEF eHealth IR Challenge 2017: Task 3 (IRTask1 : Ad-hoc Search). - Hua Yang, Teresa Gonçalves:
UEvora at CLEF eHealth 2017 Task 3.
CLEF Microblog Cultural Contextualization
- Liana Ermakova, Josiane Mothe, Eric SanJuan:
CLEF 2017 Microblog Cultural Contextualization Content Analysis task Overview. - Lorraine Goeuriot, Philippe Mulhem, Eric SanJuan:
CLEF 2017 MC2 Search and Time Line tasks Overview. - Adrian-Gabriel Chifu, Fidelia Ibekwe-Sanjuan, Nathanaêla Andrianasolo:
Role of Social Media in Propagating Controversies: the Case of Cultural Microblog Feeds. - Jean-Valère Cossu, Florence Andreacola:
Using Sociological Needs to Characterize Profiles and Contents for Microblog Search. - Carolina Fócil Arias, Jorge Zúñiga, Grigori Sidorov, Ildar Z. Batyrshin, Alexander F. Gelbukh:
A Tweets Classifier based on Cosine Similarity. - Malek Hajjem, Chiraz Latiri:
Microblog Search Task at CLEF 2017: Query Generation using IR and LDA Topic Modeling Combination. - Olivier Hamon, Chloé Monnin, Claude de Loupy:
Syllabs Team at CLEF MC2 Task 1: Content Analysis. - Pierre Jourlin:
Entity Recognition and Language Identification with FELTS. - Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Andréa Carneiro Linhares:
Microblog Contextualization using Continuous Space Vectors: Multi-Sentence Compression of Cultural Documents. - Sreekanth Madisetty, Maunendra Sankar Desarkar:
IITH at CLEF 2017: Finding Relevant Tweets for Cultural Events. - Asma Ouertatani, Chiraz Latiri:
Opinion Polarity Detection in Twitter Data combining Sequence Mining and Topic Modeling. - Mathias Quillot, Alexandre Delorme:
Re-Ranking Microblogs Using Word2Vec in Microblog Search Task, University of Avignon.
ImageCLEF
- Helbert Arenas, Md Bayzidul Islam, Josiane Mothe:
Overview of ImageCLEF 2017 Population Estimation (Remote) task. - Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Giulia Boato, Liting Zhou, Cathal Gurrin:
Overview of ImageCLEFlifelog 2017: Lifelog Retrieval and Summarization. - Yashin Dicente Cid, Alexander Kalinovsky, Vitali Liauchuk, Vassili Kovalev, Henning Müller:
Overview of the ImageCLEF 2017 Tuberculosis Task - Predicting Tuberculosis Type and Drug Resistances. - Carsten Eickhoff, Immanuel Schwall, Alba Garcia Seco de Herrera, Henning Müller:
Overview of ImageCLEFcaption 2017 - Image Caption Prediction and Concept Detection for Biomedical Images. - Helbert Arenas, Aurlie Baker, Damian Bargiel, Matthias Becker, Anna Bialczak, Francesco Carbone, Véronique Gaildrat, Sascha Heising, Md Bayzidul Islam, Philippe Lattes, Charalampos Marantos, Colette Menou, Josiane Mothe, Aude Nzeh Ngong, Iosif S. Paraskevas, Miguel Penalver, Paulina Sciana, Dimitrios Soudris:
FabSpaces at ImageCLEF 2017 - Population Estimation (remote) Task. - Asma Ben Abacha, Alba Garcia Seco de Herrera, Soumya Gayen, Dina Demner-Fushman, Sameer K. Antani:
NLM at ImageCLEF 2017 Caption Task. - Daniel Braun, Michael Singhof, Martha Tatusch, Stefan Conrad:
Convolutional Neural Networks for Multidrug-resistant and Drug-sensitive Tuberculosis Distinction. - Yashin Dicente Cid, Kayhan Batmanghelich, Henning Müller:
Textured Graph-model of the Lungs for Tuberculosis Type Classification and Drug Resistance Prediction: Participation in ImageCLEF 2017. - Yashin Dicente Cid, Henning Müller, Kayhan Batmanghelich:
BatmanLab in the ImageCLEF Tuberculosis task 2017. - Mihai Dogariu, Bogdan Ionescu:
A Textual Filtering of HOG-Based Hierarchical Clustering of Lifelog Data. - Xiaohong W. Gao, Yu Qian:
Application of Deep Learning Neural Network for Classification of TB lung CT Images based on Patches. - Ana Garcia del Molino, Bappaditya Mandal, Jie Lin, Joo-Hwee Lim, Vigneshwaran Subbaraju, Vijay Chandrasekhar:
VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization. - Sadid A. Hasan, Yuan Ling, Joey Liu, Rithesh Sreenivasan, Shreya Anand, Tilak Raj Arora, Vivek V. Datla, Kathy Lee, Ashequl Qadir, Christine Leon Swisher, Oladimeji Farri:
PRNA at ImageCLEF 2017 Caption Prediction and Concept Detection Tasks. - Md Bayzidul Islam, Matthias Becker, Damian Bargiel, Kazi Rifat Ahmed, Philipp Duzak, Nsikan-George Emana:
Sentinel-2 Satellite Imagery based Population Estimation Strategies at FabSpace 2.0 Lab Darmstadt. - Dimitris Katsios, Ergina Kavallieratou:
Concept Detection on Medical Images using Deep Residual Learning Network. - Aikaterini Koutsouri, Ilektra Skepetari, Konstantinos Anastasakis, Stefanos Lappas:
Regional Population Estimation Using Satellite Imagery. - Sisi Liang, Xiangyang Li, Yongqing Zhu, Xue Li, Shuqiang Jiang:
ISIA at the ImageCLEF 2017 Image Caption Task. - Vitali Liauchuk, Vassili Kovalev:
ImageCLEF 2017: Supervoxels and Co-occurrence for Tuberculosis CT Image Classification. - David Lyndon, Ashnil Kumar, Jinman Kim:
Neural Captioning for the ImageCLEF 2017 Medical Image Challenges. - Nomena Ny Hoavy, Josiane Mothe, Mamitiana Ignace Randrianarivony:
IRIT & MISA at Image CLEF 2017 - Multi Label Classification. - Obioma Pelka, Christoph M. Friedrich:
Keyword Generation for Biomedical Image Retrieval with Recurrent Neural Networks. - Eduardo Pinho, João Figueira Silva, Jorge Miguel Silva, Carlos Costa:
Towards Representation Learning for Biomedical Concept Detection in Medical Images: UA.PT Bioinformatics in ImageCLEF 2017. - Andrea Pomente, David Aleandri:
Convolutional Expectation Maximization for Population Estimation. - Mahmudur Rahman, Terrance Lagree, Martina Taylor:
A Cross-Modal Concept Detection and Caption Prediction Approach in ImageCLEFcaption Track of ImageCLEF 2017. - João Figueira Silva, Jorge Miguel Silva, Eduardo Pinho, Carlos Costa:
3D-CNN in Drug Resistance Detection and Tuberculosis Classification. - Liviu-Daniel Stefan, Yashin Dicente Cid, Oscar Alfonso Jiménez del Toro, Bogdan Ionescu, Henning Müller:
Finding and Classifying Tuberculosis Types for a Targeted Treatment: MedGIFT-UPB Participation in the ImageCLEF 2017 Tuberculosis Task. - Liviu-Daniel Stefan, Bogdan Ionescu, Henning Müller:
Generating Captions for Medical Images with a Deep Learning Multi-hypothesis Approach: ImageCLEF 2017 Caption Task. - Jiamei Sun, Penny Chong, Yi Xiang Marcus Tan,