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CLEF 2020: Thessaloniki, Greece - Working Notes
- Linda Cappellato, Carsten Eickhoff, Nicola Ferro, Aurélie Névéol:
Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, September 22-25, 2020. CEUR Workshop Proceedings 2696, CEUR-WS.org 2020
ARQMath: Answer Retrieval for Questions on Math
- Richard Zanibbi, Douglas W. Oard, Anurag Agarwal, Behrooz Mansouri:
Overview of ARQMath 2020 (Updated Working Notes Version): CLEF Lab on Answer Retrieval for Questions on Math. - Pankaj Dadure, Partha Pakray, Sivaji Bandyopadhyay:
An Analysis of Variable-Size Vector Based Approach for Formula Searching. - Behrooz Mansouri, Douglas W. Oard, Richard Zanibbi:
DPRL Systems in the CLEF 2020 ARQMath Lab. - Yin Ki Ng, Dallas J. Fraser, Besat Kassaie, George Labahn, Mirette S. Marzouk, Frank Wm. Tompa, Kevin Wang:
Dowsing for Math Answers with Tangent-L. - Vít Novotný, Petr Sojka, Michal Stefánik, Dávid Lupták:
Three is Better than One: Ensembling Math Information Retrieval Systems. - Shaurya Rohatgi, Jian Wu, C. Lee Giles:
PSU at CLEF-2020 ARQMath Track: Unsupervised Re-ranking using Pretraining. - Philipp Scharpf, Moritz Schubotz, André Greiner-Petter, Malte Ostendorff, Olaf Teschke, Bela Gipp:
ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open?
BioASQ: Large-scale Biomedical Semantic Indexing and Question Answering
- Anastasios Nentidis, Anastasia Krithara, Konstantinos Bougiatiotis, Georgios Paliouras:
Overview of BioASQ 8a and 8b: Results of the Eighth Edition of the BioASQ Tasks a and b. - Carlos Rodríguez Penagos, Anastasios Nentidis, Aitor Gonzalez-Agirre, Alejandro Asensio, Jordi Armengol-Estapé, Anastasia Krithara, Marta Villegas, Georgios Paliouras, Martin Krallinger:
Overview of MESINESP, a Spanish Medical Semantic Indexing Task within BioASQ 2020. - Arda Akdemir, Tetsuo Shibuya:
Transfer Learning for Biomedical Question Answering. - Tiago Almeida, Sérgio Matos:
BIT.UA at BioASQ 8: Lightweight Neural Document Ranking with Zero-shot Snippet Retrieval. - Rúben Cardoso, Zita Marinho, Afonso Mendes, Sebastião Miranda:
Priberam at MESINESP Multi-label Classification of Medical Texts Task. - Jen-Chieh Han, Richard Tzong-Han Tsai:
NCU-IISR: Using a Pre-trained Language Model and Logistic Regression Model for BioASQ Task 8b Phase B. - Minbyul Jeong, Mujeen Sung, Gangwoo Kim, Donghyeon Kim, Wonjin Yoon, Jaehyo Yoo, Jaewoo Kang:
Transferability of Natural Language Inference to Biomedical Question Answering. - Ashot Kazaryan, Uladzislau Sazanovich, Vladislav Belyaev:
Transformer-Based Open Domain Biomedical Question Answering at BioASQ8 Challenge. - Vaishnavi Kommaraju, Karthick Gunasekaran, Kun Li, Trapit Bansal, Andrew McCallum, Ivana Williams, Ana-Maria Istrate:
Unsupervised Pre-training for Biomedical Question Answering. - Alicia Lara-Clares, Ana García-Serrano:
Statistical Graph Matching for Indexing Spanish Biomedical Documents. - Ji Ma, Ivan Korotkov, Keith B. Hall, Ryan T. McDonald:
Hybrid First-stage Retrieval Models for Biomedical Literature. - Diego Mollá, Christopher Jones, Vincent Nguyen:
Query Focused Multi-document Summarisation of Biomedical Texts. - André Neves, André Lamúrias, Francisco M. Couto:
Extreme Multi-Label Classification applied to the Biomedical and Multilingual Panorama. - Dimitris Pappas, Petros Stavropoulos, Ion Androutsopoulos:
AUEB-NLP at BioASQ 8: Biomedical Document and Snippet Retrieval. - Francisco J. Ribadas-Pena, Shuyuan Cao, Elmurod Kuriyozov:
CoLe and LYS at BioASQ MESINESP8 Task: Similarity based Descriptor Assigment in Spanish. - Jainisha Sankhavara, Prasenjit Majumder:
Query-focused biomedical text summarization in BioASQ 8B.
CheckThat!: Enabling Automatic Identification and Verification of Claims in Social Media
- Maram Hasanain, Fatima Haouari, Reem Suwaileh, Zien Sheikh Ali, Bayan Hamdan, Tamer Elsayed, Alberto Barrón-Cedeño, Giovanni Da San Martino, Preslav Nakov:
Overview of CheckThat! 2020i Arabic: Automatic Identification and Verification of Claims in Social Media. - Shaden Shaar, Alex Nikolov, Nikolay Babulkov, Firoj Alam, Alberto Barrón-Cedeño, Tamer Elsayed, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Giovanni Da San Martino, Preslav Nakov:
Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media. - Rabab Alkhalifa, Theodore Yoong, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata:
QMUL-SDS at CheckThat! 2020 Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions. - Mostafa Bouziane, Hugo Perrin, Aurélien Cluzeau, Julien Mardas, Amine Sadeq:
Team Buster.ai at CheckThat! 2020 Insights and Recommendations to Improve Fact-Checking. - Gullal S. Cheema, Sherzod Hakimov, Ralph Ewerth:
Check_square at CheckThat! 2020 Claim Detection in Social Media via Fusion of Transformer and Syntactic Features. - Ciprian-Gabriel Cusmuliuc, Lucia Georgiana Coca, Adrian Iftene:
UAICS at CheckThat! 2020 Fact-checking Claim Prioritization. - Maram Hasanain, Tamer Elsayed:
bigIR at CheckThat! 2020: Multilingual BERT for Ranking Arabic Tweets by Check-worthiness. - Ahmad Hussein, Abdulkarim Hussein, Nada Ghneim, Ammar Joukhadar:
DamascusTeam at CheckThat! 2020: Check Worthiness on Twitter with Hybrid CNN and RNN Models. - Yavuz Selim Kartal, Mücahid Kutlu:
TOBB ETU at CheckThat! 2020: Prioritizing English and Arabic Claims Based on Check-Worthiness. - Sachin Krishan Thyaharajan, Kayalvizhi Sampath, Thenmozhi Durairaj, Rishivardhan Krishnamoorthy:
SSN_NLP at CheckThat! 2020: Tweet Check Worthiness Using Transformers, Convolutional Neural Networks and Support Vector Machines. - Juan R. Martinez-Rico, Lourdes Araujo, Juan Martínez-Romo:
NLP&IR@UNED at CheckThat! 2020: A Preliminary Approach for Check-Worthiness and Claim Retrieval Tasks using Neural Networks and Graphs. - Thomas M. McDonald, Ziqing Dong, Yingji Zhang, Rebekah Hampson, James Young, Qianyu Cao, Jochen L. Leidner, Mark Stevenson:
The University of Sheffield at CheckThat! 2020: Claim Identification and Verification on Twitter. - Alex Nikolov, Giovanni Da San Martino, Ivan Koychev, Preslav Nakov:
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models. - Lucia C. Passaro, Alessandro Bondielli, Alessandro Lenci, Francesco Marcelloni:
UNIPI-NLE at CheckThat! 2020: Approaching Fact Checking from a Sentence Similarity Perspective Through the Lens of Transformers. - Utsav Shukla, Aayushmaan Sharma:
TIET at CLEF CheckThat! 2020: Verified Claim Retrieval. - Edwin Thuma, Nkwebi Peace Motlogelwa, Tebo Leburu-Dingalo, Monkgogi Mudongo:
UB_ET at CheckThat! 2020: Exploring Ad hoc Retrieval Approaches in Verified Claims Retrieval. - Ibtissam Touahri, Azzeddine Mazroui:
EvolutionTeam at CLEF2020 - CheckThat! lab : Integration of Linguistic and Sentimental Features in a Fake News Detection Approach. - Evan M. Williams, Paul Rodrigues, Valerie Novak:
Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of Claims using Transformer-based Models.
ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents
- Jiayuan He, Dat Quoc Nguyen, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Jingqi Wang, Yuankai Ren, Zhi Zhang, Yaoyun Zhang, Mai Hoang Dao, Pedro Ruas, Andre Lamurias, Francisco M. Couto, Jenny Copara, Nona Naderi, Julien Knafou, Patrick Ruch, Douglas Teodoro, Daniel M. Lowe, John Mayfield, Abdullatif Köksal, Hilal Dönmez, Elif Özkirimli, Arzucan Özgür, Darshini Mahendran, Gabrielle Gurdin, Nastassja Lewinski, Christina Tang, Bridget T. McInnes, C. S. Malarkodi, Pattabhi Rk Rao, Sobha Lalitha Devi, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor:
An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents. - C. S. Malarkodi, Pattabhi Rk Rao, Sobha Lalitha Devi:
CLRG ChemNER: A Chemical Named Entity Recognizer @ ChEMU CLEF 2020. - Jenny Copara, Nona Naderi, Julien Knafou, Patrick Ruch, Douglas Teodoro:
Named Entity Recognition in Chemical Patents using Ensemble of Contextual Language Models. - Mai Hoang Dao, Dat Quoc Nguyen:
VinAI at ChEMU 2020: An Accurate System for Named Entity Recognition in Chemical Reactions from Patents. - Hilal Dönmez, Abdullatif Köksal, Elif Özkirimli, Arzucan Özgür:
BOUN-REX at CLEF-2020 ChEMU Task 2: Evaluating Pretrained Transformers for Event Extraction. - Daniel M. Lowe, John Mayfield:
Extraction of Reactions from Patents using Grammars. - Darshini Mahendran, Gabrielle Gurdin, Nastassja Lewinski, Christina Tang, Bridget T. McInnes:
NLPatVCU CLEF 2020 ChEMU Shared Task System Description. - Pedro Ruas, Andre Lamurias, Francisco M. Couto:
LasigeBioTM Team at CLEF2020 ChEMU Evaluation Lab: Named Entity Recognition and Event extraction from chemical reactions described in patents using BioBERT NER and RE. - Jingqi Wang, Yuankai Ren, Zhi Zhang, Yaoyun Zhang:
Melaxtech: A report for CLEF 2020 - ChEMU Task of Chemical Reaction Extraction from Patent.
eHealth: Retrieving and Making Sense of Medical Content
- Lorraine Goeuriot, Hanna Suominen, Liadh Kelly, Zhengyang Liu, Gabriella Pasi, Gabriela González Sáez, Marco Viviani, Chenchen Xu:
Overview of the CLEF eHealth 2020 Task 2: Consumer Health Search with Ad Hoc and Spoken Queries. - Antonio Miranda-Escalada, Aitor Gonzalez-Agirre, Jordi Armengol-Estapé, Martin Krallinger:
Overview of Automatic Clinical Coding: Annotations, Guidelines, and Solutions for non-English Clinical Cases at CodiEsp Track of CLEF eHealth 2020. - Mario Almagro, Raquel Martínez-Unanue, Víctor Fresno, Soto Montalvo, Hegler Tissot:
ICD-10 Coding based on Semantic Distance: LSI_UNED at CLEF eHealth 2020 Task 1. - Alberto Blanco, Alicia Pérez, Arantza Casillas:
IXA-AAA at CLEF eHealth 2020 CodiEsp. Automatic Classification of Medical Records with Multi-label Classifiers and Similarity Match Coders. - Sébastien Cossin, Vianney Jouhet:
IAM at CLEF eHealth 2020: Concept Annotation in Spanish Electronic Health Records. - João Costa, Inês Lopes, André V. Carreiro, David Ribeiro, Carlos Soares:
Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models. - Iker de la Iglesia, Mikel Martínez-Puente, Alex Platas, Iria San Miguel, Aitziber Atutxa, Koldo Gojenola:
MEDIA team: CLEF-2020 eHealth Task 1: Multilingual Information Extraction - CodiEsp. - Giorgio Maria Di Nunzio, Stefano Marchesin, Federica Vezzani:
A Study on Reciprocal Ranking Fusion in Consumer Health Search. IMS UniPD ad CLEF eHealth 2020 Task 2. - Giorgio Maria Di Nunzio:
As Simple as Possible: Using the R Tidyverse for Multilingual Information Extraction. IMS UniPD ad CLEF eHealth 2020 Task 1. - Sedigheh Eslami, Péter Adorján, Christoph Meinel:
SehMIC: Semi-hierarchical Multi-label ICD Code Classification. - Nuria García-Santa, Kendrick Cetina:
FLE at CLEF eHealth 2020: Text Mining and Semantic Knowledge for Automated Clinical Encoding. - Rishivardhan K, Kayalvizhi S, D. Thenmozhi, Sachin Krishan, Chandrabose Aravindan:
Transformers in Semantic Indexing of Clinical Codes. - Guillermo López-García, José M. Jerez, Francisco J. Veredas:
ICB-UMA at CLEF e-Health 2020 Task 1: Automatic ICD-10 coding in Spanish with BERT. - Elias Moons, Marie-Francine Moens:
Convolutional Attention Models with Post-Processing Heuristics at CLEF eHealth 2020. - Philippe Mulhem, Gabriela Nicole González Sáez, Aidan Mannion, Didier Schwab, Jibril Frej:
LIG-Health at Adhoc and Spoken IR Consumer Health Search: expanding queries using UMLS and FastText. - Anaïs Ollagnier, Hywel T. P. Williams:
Text Augmentation Techniques for Clinical Case Classification. - José M. Perea-Ortega, Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, María Teresa Martín Valdivia, Luis Alfonso Ureña López:
SINAI at CLEF eHealth 2020: Testing Different pre-trained Word Embeddings for Clinical Coding in Spanish. - Marco Polignano, Vincenzo Suriano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
A study of Machine Learning models for Clinical Coding of Medical Reports at CodiEsp 2020. - Paula Queipo-Álvarez, Israel González-Carrasco:
Classifying Clinical Case Studies with ICD-10 atCodiesp CLEF eHealth 2020 Task 1-Diagnostics. - Henning Schäfer, Christoph M. Friedrich:
Multilingual ICD-10 Code Assignment with Transformer Architectures using MIMIC-III Discharge Summaries. - Sandaru Seneviratne, Eleni Daskalaki, Md. Zakir Hossain, Artem Lenskiy:
SandiDoc at CLEF 2020 - Consumer Health Search : AdHoc IR Task. - Yuki Tagawa, Norihisa Nakano, Ryota Ozaki, Tomoki Taniguchi, Tomoko Ohkuma:
TeamX at CLEF eHealth 2020: ICD Coding with N-gram Encoder and Code-filtering Strategy.
eRisk: Early Risk Prediction on the Internet
- David E. Losada, Fabio Crestani, Javier Parapar:
Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (Extended Overview). - Linda Achilles, Max Kisselew, Johannes Schäfer, Ralph Kölle:
Using Surface and Semantic Features for Detecting Early Signs of Self-Harm in Social Media Postings. - Mario Ezra Aragón, Adrián Pastor López-Monroy, Manuel Montes-y-Gómez:
INAOE-CIMAT at eRisk 2020: Detecting Signs of Self-Harm using Sub-Emotions and Words. - Hojjat Bagherzadeh Hosseinabad, Ehsan Fazl Ersi, Abedin Vahedian:
Detection of Early Sign of Self-harm on Reddit using Multi-level Machine. - Elena Campillo Ageitos, Juan Martínez-Romo, Lourdes Araujo:
NLP-UNED at eRisk 2020: Self-harm Early Risk Detection with Sentiment Analysis and Linguistic Features. - Amina Madani, Fatima Boumahdi, Anfel Boukenaoui, Mohamed Chaouki Kritli, Hamza Hentabli:
USDB at eRisk 2020: Deep Learning Models to Measure the Severity of the Signs of Depression using Reddit Posts. - Rodrigo Martínez-Castaño, Amal Htait, Leif Azzopardi, Yashar Moshfeghi:
Early Risk Detection of Self-Harm and Depression Severity using BERT-based Transformers. - Diego Maupomé, Maxime D. Armstrong, Raouf Moncef Belbahar, Josselin Alezot, Rhon Balassiano, Marc Queudot, Sébastien Mosser, Marie-Jean Meurs:
Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models. - Alina Trifan, Pedro Salgado, José Luís Oliveira:
BioInfo@UAVR at eRisk 2020: on the Use of Psycholinguistics Features and Machine Learning for the Classification and Quantification of Mental Diseases. - Ana Sabina Uban, Paolo Rosso:
Deep Learning Architectures and Strategies for Early Detection of Self-harm and Depression Level Prediction.
HIPE: Identifying Historical People, Places and other Entities
- Maud Ehrmann, Matteo Romanello, Alex Flückiger, Simon Clematide:
Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers. - Emanuela Boros, Elvys Linhares Pontes, Luis Adrián Cabrera-Diego, Ahmed Hamdi, José G. Moreno, Nicolas Sidère, Antoine Doucet:
Robust Named Entity Recognition and Linking on Historical Multilingual Documents. - Ghaith Dekhili, Fatiha Sadat:
Hybrid Statistical and Attentive Deep Neural Approach for Named Entity Recognition in Historical Newspapers. - Cheikh Brahim El Vaigh, Guillaume Le Noé-Bienvenu, Guillaume Gravier, Pascale Sébillot:
IRISA System for Entity Detection and Linking at CLEF HIPE 2020. - Sahar Ghannay, Cyril Grouin, Thomas Lavergne:
Experiments from LIMSI at the French Named Entity Recognition Coarse-grained Task. - Tanti Kristanti, Laurent Romary:
DeLFT and Entity-fishing: Tools for CLEF HIPE 2020 Shared Task. - Kai Labusch, Clemens Neudecker:
Named Entity Disambiguation and Linking Historic Newspaper OCR with BERT. - Damien Nouvel, Jean-Claude Zagabe Seruti:
Adapting a Pre-Neural Named Entity Recognizer and Linker to Historical Data. - Pedro Javier Ortiz Suárez, Yoann Dupont, Gaël Lejeune, Tian Tian:
SinNer@Clef-Hipe2020 : Sinful adaptation of SotA models for Named Entity Recognition in French and German. - Vera Provatorova, Svitlana Vakulenko, Evangelos Kanoulas, Koen Dercksen, Johannes M. van Hulst:
Named Entity Recognition and Linking on Historical Newspapers: UvA.ILPS & REL at CLEF HIPE 2020. - Stefan Schweter, Luisa März:
Triple E - Effective Ensembling of Embeddings and Language Models for NER of Historical German. - Konstantin Todorov, Giovanni Colavizza:
Transfer Learning for Named Entity Recognition in Historical Corpora.
ImageCLEF: Multimedia Retrieval in Medicine, Lifelogging, and Internet
- Van-Tu Ninh, Tu-Khiem Le, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Mathias Lux, Minh-Triet Tran, Cathal Gurrin, Duc-Tien Dang-Nguyen:
Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog. - Asma Ben Abacha, Vivek V. Datla, Sadid A. Hasan, Dina Demner-Fushman, Henning Müller:
Overview of the VQA-Med Task at ImageCLEF 2020: Visual Question Answering and Generation in the Medical Domain. - Dimitri Fichou, Raul Berari, Paul Brie, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Bogdan Ionescu:
Overview of the 2020 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn Website UIs. - Obioma Pelka, Christoph M. Friedrich, Alba García Seco de Herrera, Henning Müller:
Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding. - Jon Chamberlain, Antonio Campello, Jessica P. Wright, Louis G. Clift, Adrian F. Clark, Alba García Seco de Herrera:
Overview of the ImageCLEFcoral 2020 Task: Automated Coral Reef Image Annotation. - Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Aleh Tarasau, Vassili Kovalev, Henning Müller:
Overview of ImageCLEFtuberculosis 2020 Automatic CT-based Report Generation. - Aisha Al-Sadi, Hana' Al-Theiabat, Mahmoud Al-Ayyoub:
The Inception Team at VQA-Med 2020: Pretrained VGG with Data Augmentation for Medical VQA and VQG. - Marina Arendt, Johannes Rückert, Raphael Brüngel, Christopher Brumann, Christoph M. Friedrich:
The Effects of Colour Enhancement and IoU Optimisation on Object Detection and Segmentation of Coral Reef Structures. - Sarada Devi Arul, Kavitha Srinivasan:
ImageCLEF 2020: Image Caption Prediction using Multilabel Convolutional Neural Network. - Tetsuya Asakawa, Masaki Aono:
ImageCLEF 2020: Deep Learning for Tuberculosis in Chest CT Image Analysis based on multi-axis projections. - Ujjwel Balwal, Srinivasa Arun Yeragudipati, Bhuvana Jayaraman, Mirnalinee Thanga Nadar Thanga Thai:
Deep Learning based TB Severity Prediction. - Fatma Ben Abdallah, Ghada Feki, Ons Saadallah, Amine Jarraya, Chokri Ben Amar:
Automatic Approach For Lifelog Moments Retrieval using Transfer Learning and Rule-based Matching. - Kirill Bogomasov, Philipp Grawe, Stefan Conrad:
Enhanced Localization and Classification of Coral Reef Structures and Compositions. - Jiao Che, Haiyan Ding, Xiaobing Zhou:
Chejiao at ImageCLEFmed Tuberculosis 2020: CT Report Generation Based on Transfer learning. - Guanqi Chen, Haifan Gong, Guanbin Li:
HCP-MIC at VQA-Med 2020: Effective Visual Representation for Medical Visual Question Answering. - Lucia Georgiana Coca, Alexandra Hanganu, Ciprian-Gabriel Cusmuliuc, Adrian Iftene:
UAIC2020: Lung Analysis for Tuberculosis Detection. - Alba García Seco de Herrera, Francisco Parrilla Andrade, Luke Bentley, Arely Aceves Compean:
Essex at ImageCLEFcaption 2020 Task. - Ivan Gruber, Jakub Straka:
Automatic Coral Detection using Neural Networks. - Prasang Gupta, Swayambodha Mohapatra:
HTML Atomic UI Elements Extraction from Hand-Drawn Website Images using Mask-RCNN and novel Multi-Pass Inference Technique. - Bumjun Jung, Lin Gu, Tatsuya Harada:
bumjun_jung at VQA-Med 2020: VQA Model Based on Feature Extraction and Multi-modal Feature Fusion. - Marimuthu Kalimuthu, Fabrizio Nunnari, Daniel Sonntag:
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task. - Basil Karatzas, John Pavlopoulos, Vasiliki Kougia, Ion Androutsopoulos:
AUEB NLP Group at ImageCLEFmed Caption 2020. - Tu-Khiem Le, Van-Tu Ninh, Liting Zhou, Minh-Huy Nguyen-Ngoc, Huu-Duc Trinh, Nguyen-Hien Tran, Luca Piras, Michael Riegler, Pål Halvorsen, Mathias Lux, Minh-Triet Tran, Graham Healy, Cathal Gurrin, Duc-Tien Dang-Nguyen:
Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data. - Bence Lestyan, András A. Benczúr, Bálint Daróczy:
SZTAKI @ ImageCLEFmed 2020 Tuberculosis Task. - Zhibin Liao, Qi Wu, Chunhua Shen, Anton van den Hengel, Johan Verjans:
AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering. - Shengyan Liu, Haiyan Ding, Xiaobing Zhou:
Shengyan at VQA-Med 2020: An Encoder-Decoder Model for Medical Domain Visual Question Answering Task. - Xing Lu, Eric Y. Chang, Zhaohui Liu, Chun-Nan Hsu, Jiang Du, Amilcare Gentili:
ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports. - Oyebisi Layode, Md Mahmudur Rahman:
Multi-Label and Cross-Modal Based Concept Detection in Biomedical Images by MORGAN_CS at ImageCLEF2020.