ImageCLEF 2021: Deep categorizing tuberculosis cases using normalization and pseudo-color CT image (English)
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- New search for: Asakawa, Tetsuya
- New search for: Tsuneda, Riku
- New search for: Shimizu, Kazuki
- New search for: Komoda, Takuyuki
- New search for: Aono, Masaki
- New search for: Asakawa, Tetsuya
- New search for: Tsuneda, Riku
- New search for: Shimizu, Kazuki
- New search for: Komoda, Takuyuki
- New search for: Aono, Masaki
In:
CLEF-WN 2021: CLEF 2021 working notes
; 1151-1159
;
2021
- Conference paper / Electronic Resource
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Title:ImageCLEF 2021: Deep categorizing tuberculosis cases using normalization and pseudo-color CT image
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Contributors:Asakawa, Tetsuya ( author ) / Tsuneda, Riku ( author ) / Shimizu, Kazuki ( author ) / Komoda, Takuyuki ( author ) / Aono, Masaki ( author )
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Conference:CLEF ; 12. ; 2021 ; Online
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Published in:CLEF-WN 2021: CLEF 2021 working notes ; 1151-1159
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Publisher:
- New search for: [RWTH Aachen]
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Place of publication:[Aachen, Germany]
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Publication date:2021
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Type of media:Conference paper
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Type of material:Electronic Resource
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Language:English
- New search for: 54.64 / 06.74
- Further information on Basic classification
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The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Overview of ARQMath-2 (2021): Second CLEF Lab on Answer Retrieval for Questions on Math (Working Notes Version)Mansouri, Behrooz / Zanibbi, Richard / Oard, Douglas W. / Agarwal, Anurag et al. | 2021
- 25
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XY-PHOC Symbol Location Embeddings for Math Formula Retrieval and AutocompletionAvenoso, Robin / Mansouri, Behrooz / Zanibbi, Richard et al. | 2021
- 36
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BERT-Based Embedding Model for Formula RetrievalDadure, Pankaj / Pakray, Partha / Bandyopadhyay, Sivaji et al. | 2021
- 47
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DPRL Systems in the CLEF 2021 ARQMath Lab: Sentence-BERT for Answer Retrieval, Learning-to-Rank for Formula RetrievalMansouri, Behrooz / Oard, Douglas W. / Zanibbi, Richard et al. | 2021
- 63
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Dowsing for Answers to Math Questions: Ongoing Viability of Traditional MathIRNg, Yin Ki / Fraser, Dallas / Kassaie, Besat / Tompa, Frank et al. | 2021
- 82
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Ensembling Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021Novotný, Vít / Štefánik, Michal / Lupták, Dávid / Geletka, Martin / Zelina, Petr / Sojka, Petr et al. | 2021
- 107
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TU_DBS in the ARQMath Lab 2021, CLEFReusch, Anja / Thiele, Maik / Lehner, Wolfgang et al. | 2021
- 125
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Ranked List Fusion and Re-ranking with Pre-trained Transformers for ARQMath LabRohatgi, Shaurya / Wu, Jian / Giles, C. Lee et al. | 2021
- 133
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Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path TokensZhong, Wei / Zhang, Xinyu / Xin, Ji / Zanibbi, Richard / Lin, Jimmy et al. | 2021
- 157
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Overview of BioASQ Tasks 9a, 9b and Synergy in CLEF2021Nentidis, Anastasios / Katsimpras, Georgios / Vandorou, Eirini / Krithara, Anastasia / Paliouras, Georgios et al. | 2021
- 165
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Overview of BioASQ 2021-MESINESP track. Evaluation of advance hierarchical classification techniques for scientific literature, patents and clinical trials.Gasco, Luis / Nentidis, Anastasios / Krithara, Anastasia / Estrada-Zavala, Darryl / Murasaki, Renato Toshiyuki / Primo-Peña, Elena / Bojo-Canales, Cristina / Paliouras, Georgios / Krallinger, Martin et al. | 2021
- 188
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BioASQ Synergy: A strong and simple baseline rooted in relevance feedbackAlmeida, Tiago / Matos, Sérgio et al. | 2021
- 196
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Universal Passage Weighting Mecanism (UPWM) in BioASQ 9bAlmeida, Tiago / Matos, Sérgio et al. | 2021
- 213
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Large Biomedical Question Answering Models with ALBERT and ELECTRAAlrowili, Sultan / Shanker, Vijay et al. | 2021
- 221
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Vicomtech at MESINESP2: BERT-based Multi-label Classification Models for Biomedical Text IndexingGarcía-Pablos, Aitor / Perez, Naiara / Cuadros, Montse et al. | 2021
- 231
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MDS_UNCC Question Answering System for Biomedical Data with Preliminary Error AnalysisGopalakrishnan, Seethalakshmi / Padithala, Swathi / Demirhan, Hilmi / Zadrozny, Wlodek et al. | 2021
- 241
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PIDNA at BioASQ MESINESP: Hybrid Semantic Indexing for Biomedical Articles in SpanishHuang, Yi / Giledereli, Buse / Koksal, Abdullatif / Ozgur, Arzucan / Ozkirimli, Elif et al. | 2021
- 247
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Transformer-based Language Models for Factoid Question Answering at BioASQ9bKhanna, Urvashi / Molla, Diego et al. | 2021
- 258
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Post-processing BioBERT And Using Voting Methods for Biomedical Question AnsweringCampos, Margarida M. / Couto, Francisco M. et al. | 2021
- 274
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Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 QuestionsMolla, Diego / Khanna, Urvashi / Galat, Dima / Nguyen, Vincent / Rybinski, Maciej et al. | 2021
- 286
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End-to-end Biomedical Question Answering via Bio-AnswerFinder and Discriminative Language Representation ModelsOzyurt, Ibrahim Burak et al. | 2021
- 302
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A Neural Text Ranking Approach for Automatic MeSH IndexingRae, Alastair / Mork, James / Demner-Fushman, Dina et al. | 2021
- 313
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COLE and LYS at BioASQ MESINESP Task: large scale multilabel text categorization with sparse and dense indicesRibadas-Pena, Francisco J. / Cao, Shuyuan / Kuriyozov, Elmurod et al. | 2021
- 324
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LASIGE-BioTM at MESINESP2: entity linking with semantic similarity and extreme multi-label classification on Spanish biomedical documentsRuas, Pedro / Andrade, Vitor D. T. / Couto, Francisco M. et al. | 2021
- 335
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NLM at BioASQ Synergy 2021: Deep Learning-based Methods for Biomedical Semantic Question Answering about COVID-19Sarrouti, Mourad / Gupta, Deepak / Abacha, Asma Ben / Demner-Fushman, Dina et al. | 2021
- 351
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KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answeringYoon, Wonjin / Yoo, Jaehyo / Seo, Sumin / Sung, Mujeen / Jeong, Minbyul / Kim, Gangwoo / Kang, Jaewoo et al. | 2021
- 360
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NCU-IISR/AS-GIS: Results of Various Pre-trained Biomedical Language Models and Linear Regression Model in BioASQ Task 9b Phase BZhang, Yu / Han, Jen-Chieh / Tsai, Richard Tzong-Han et al. | 2021
- 369
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Overview of the CLEF-2021 CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political DebatesShaar, Shaden / Hasanain, Maram / Hamdan, Bayan / Ali, Zien Sheikh / Haouari, Fatima / Nikolov, Alex / Kutlu, Mucahid / Kartal, Yavuz Selim / Alam, Firoj / Martino, Giovanni Da San et al. | 2021
- 393
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Overview of the CLEF-2021 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims in Tweets and Political DebatesShaar, Shaden / Haouari, Fatima / Mansour, Watheq / Hasanain, Maram / Babulkov, Nikolay / Alam, Firoj / Martino, Giovanni Da San / Elsayed, Tamer / Nakov, Preslav et al. | 2021
- 406
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Overview of the CLEF-2021 CheckThat! Lab: Task 3 on Fake News DetectionShahi, Gautam Kishore / Struß, Julia Maria / Mandl, Thomas et al. | 2021
- 424
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QMUL-SDS at CheckThat! 2021: Enriching Pre-Trained Language Models for the Estimation of Check-Worthiness of Arabic TweetsAbumansour, Amani S. / Zubiaga, Arkaitz et al. | 2021
- 430
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SCUoL at CheckThat! 2021: An AraBERT Model for Check-Worthiness of Arabic TweetsAlthabiti, Saud / Alsalka, Mohammad / Atwell, Eric et al. | 2021
- 435
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M82B at CheckThat! 2021: Multiclass Fake News Detection Using BiLSTMAshik, Sohel Siddique / Apu, Abdur Rahman / Marjana, Nusrat Jahan / Islam, Md Sanzidul / Hassan, Md Arid et al. | 2021
- 446
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CIC at CheckThat! 2021: Fake News detection Using Machine Learning And Data AugmentationAshraf, Noman / Butt, Sabur / Sidorov, Grigori / Gelbukh, Alexander et al. | 2021
- 455
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MUCIC at CheckThat! 2021: FaDo-Fake News Detection and Domain Identification using Transformers EnsemblingBalouchzahi, Fazlourrahman / Shashirekha, Hosahalli Lakshmaiah / Sidorov, Grigori et al. | 2021
- 465
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UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy ClaimsSchlicht, Ipek Baris / Paula, Angel Felipe Magnossão de / Rosso, Paolo et al. | 2021
- 476
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SU-NLP at CheckThat! 2021: Check-Worthiness of Turkish TweetsCarik, Buse / Yeniterzi, Reyyan et al. | 2021
- 484
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Aschern at CLEF CheckThat! 2021: Lambda-Calculus of Fact-Checked ClaimsChernyavskiy, Anton / Ilvovsky, Dmitry / Nakov, Preslav et al. | 2021
- 494
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UAICS at CheckThat! 2021: Fake news detectionCusmuliuc, Ciprian Gabriel / Amarandei, Matei Alexandru / Pelin, Ioana / Cociorva, Vlad-Iulian / Iftene, Adrian et al. | 2021
- 508
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University of Regensburg at CheckThat! 2021:Exploring Text Summarization for Fake News DetectionHartl, Philipp / Kruschwitz, Udo et al. | 2021
- 520
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CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic ClassificationHuertas-García, Álvaro / Huertas-Tato, Javier / Martín, Alejandro / Camacho, David et al. | 2021
- 531
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Classifier for fake news detection and Topical Domain of News ArticlesTsoplefack, William Kana et al. | 2021
- 537
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Nkovachevich at CheckThat! 2021: BERT fine-tuning approach to fake news detectionKovachevich, Ninko et al. | 2021
- 545
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NLP&IR@UNED at CheckThat! 2021: Check-worthiness estimation and fake news detection using transformer modelsMartinez-Rico, Juan R. / Martinez-Romo, Juan / Araujo, Lourdes et al. | 2021
- 558
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DIPS at CheckThat! 2021: Verified Claim RetrievalMihaylova, Simona / Borisova, Iva / Chemishanov, Dzhovani / Hadzhitsanev, Preslav / Hardalov, Momchil / Nakov, Preslav et al. | 2021
- 572
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NLytics at CheckThat! 2021: Multi-class fake news detection of news articles and domain identification with RoBERTa - a baseline modelPritzkau, Albert et al. | 2021
- 582
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NLytics at CheckThat! 2021: Detecting Previously Fact-Checked Claims by Measuring Semantic SimilarityPritzkau, Albert et al. | 2021
- 592
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NLytics at CheckThat! 2021: Check-Worthiness Estimation as a Regression Problem on TransformersPritzkau, Albert et al. | 2021
- 603
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NITK_NLP at CheckThat! 2021: Ensemble Transformer Model for Fake News ClassificationLekshmiAmmal, Hariharan RamakrishnaIyer / Madasamy, Anand Kumar et al. | 2021
- 612
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Team Sigmoid at CheckThat!2021 Task 3a: Multiclass fake news detection with Machine LearningSardar, Abdullah Al Mamun / Salma, Shahalu Akter / Islam, Md Sanzidul / Hasan, Md Arid / Bhuiyan, Touhid et al. | 2021
- 619
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Qword at CheckThat! 2021: An Extreme Gradient Boosting Approach for Multiclass Fake News DetectionUtsha, Rudra Sarker / Keya, Mumenunnessa / Hasan, Md Arid / Islam, Md Sanzidul et al. | 2021
- 628
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GPLSI team at CheckThat! 2021: Fine-tuning BETO and RoBERTaSepúlveda-Torres, Robiert / Saquete, Estela et al. | 2021
- 639
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BeaSku at CheckThat! 2021: Fine–Tuning Sentence BERT with Triplet Loss and Limited DataSkuczyńska, Beata / Shaar, Shaden / Spenader, Jennifer / Nakov, Preslav et al. | 2021
- 648
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BlackOps at CheckThat! 2021: User Profiles Analyze of Intelligent Detection on Fake Tweets Notebook for PANSohan, S. M. / Khusbu, Sharun Akter / Islam, Md Sanzidul / Hasan, Md Arid et al. | 2021
- 659
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Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentationWilliams, Evan / Rodrigues, Paul / Tran, Sieu et al. | 2021
- 670
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TOBB ETU at CheckThat! 2021: Data Engineering for Detecting Check-Worthy ClaimsZengin, Muhammed Said / Kartal, Yavuz Selim / Kutlu, Mucahid et al. | 2021
- 681
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Fight for 4230 at CheckThat! 2021: Domain-Specific Preprocessing and Pretrained Model for Ranking Claims by Check-WorthinessZhou, Xinrui / Wu, Bohuai / Fung, Pascale et al. | 2021
- 693
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Extended Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical PatentsLi, Yuan / Fang, Biaoyan / He, Jiayuan / Yoshikawa, Hiyori / Akhondi, Saber A. / Druckenbrodt, Christian / Thorne, Camilo / Afzal, Zubair / Zhai, Zenan / Baldwin, Timothy et al. | 2021
- 710
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A pipelined approach to Anaphora Resolution in Chemical PatentsDutt, Ritam / Khosla, Sopan / Rose, Carolyn et al. | 2021
- 720
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HUKB at ChEMU 2021 Task 2: Anaphora ResolutionMachi, Kojiro / Yoshioka, Masaharu et al. | 2021
- 732
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Overview of CLEF eHealth Task 1 - SpRadIE: A challenge on information extraction from Spanish Radiology ReportsCotik, Viviana / Alemany, Laura Alonso / Filippo, Darío / Luque, Franco / Roller, Roland / Vivaldi, Jorge / Ayach, Ammer / Carranza, Fernando / Defrancesca, Lucas / Dellanzo, Antonella et al. | 2021
- 751
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Consumer Health Search at CLEF eHealth 2021Goeuriot, Lorraine / Suominen, Hanna / Pasi, Gabriella / Bassani, Elias / Brew-Sam, Nicola / Sáez, Gabriela Nicole González / Kelly, Liadh / Mulhem, Philippe / Seneviratne, Sandaru / Upadhyay, Rishabh et al. | 2021
- 770
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IMS-UNIPD CLEF eHealth Task 1: A Memory Based Reproducible BaselineNunzio, Giorgio Maria Di et al. | 2021
- 775
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IMS-UNIPD CLEF eHealth Task 2: Reciprocal Ranking Fusion in CHSNunzio, Giorgio Maria Di / Vezzani, Federica et al. | 2021
- 780
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LSI_UNED at CLEF eHealth2021: Exploring the effects of transfer learning in negation detection and entity recognition in clinical textsFabregat, Hermenegildo / Duque, Andres / Araujo, Lourdes / Martinez-Romo, Juan et al. | 2021
- 794
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Pre-trained language models to extract information from radiological reportsLópez-Úbeda, Pilar / Díaz-Galiano, Manuel Carlos / Ureña-López, L. Alfonso / Martín-Valdivia, M. Teresa et al. | 2021
- 804
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Extracting information from radiology reports by Natural Language Processing and Deep LearningGarcía-Largo, Miguel Ángel Martín-Caro / Segura-Bedmar, Isabel et al. | 2021
- 818
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Comparing Transformer-based NER approaches for analysing textual medical diagnosesPolignano, Marco / Gemmis, Marco de / Semeraro, Giovanni et al. | 2021
- 834
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Information Extraction from Spanish Radiology Reports using multilingual BERTSolarte-Pabón, Oswaldo / Montenegro, Orlando / Blazquez-Herranz, Alberto / Saputro, Hadi / Rodriguez-González, Alejandro / Menasalvas, Ernestina et al. | 2021
- 846
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A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reportsSuárez-Paniagua, Víctor / Dong, Hang / Casey, Arlene et al. | 2021
- 857
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Learning to rank for Consumer Health SearchYang, Hua / Liu, Xiaoming / Zheng, Binbin / Yang, Guan et al. | 2021
- 864
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Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (Extended Overview)Parapar, Javier / Martín-Rodilla, Patricia / Losada, David E. / Crestani, Fabio et al. | 2021
- 888
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Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest ClassifierAlhuzali, Hassan / Zhang, Tianlin / Ananiadou, Sophia et al. | 2021
- 897
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VADER meets BERT: sentiment analysis for early detection of signs of self-harm through social miningBarros, Lucas / Trifan, Alina / Oliveira, José Luis et al. | 2021
- 908
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UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the InternetBasile, Angelo / Chinea-Rios, Mara / Uban, Ana-Sabina / Müller, Thomas / Rössler, Luise / Yenikent, Seren / Chulví, Berta / Rosso, Paolo / Franco-Salvador, Marc et al. | 2021
- 928
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Exploring the Performance of Baseline Text Mining Frameworks for Early Prediction of Self Harm Over Social MediaBasu, Tanmay / Gkoutos, Georgios V. et al. | 2021
- 938
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Early Risk Detection of Pathological Gambling, Self-Harm and Depression Using BERTBucur, Ana-Maria / Cosma, Adrian / Dinu, Liviu P. et al. | 2021
- 950
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NLP-UNED at eRisk 2021: self-harm early risk detection with TF-IDF and linguistic featuresCampillo-Ageitos, Elena / Fabregat, Hermenegildo / Araujo, Lourdes / Martinez-Romo, Juan et al. | 2021
- 966
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uOttawa at eRisk 2021: Automatic Filling of the Beck's Depression Inventory Questionnaire using Deep LearningInkpen, Diana / Skaik, Ruba / Buddhitha, Prasadith / Angelov, Dimo / Fredenburgh, Maxwell Thomas et al. | 2021
- 981
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CeDRI at eRisk 2021: A Naive Approach to Early Detection of Psychological Disorders in Social MediaLopes, Rui Pedro et al. | 2021
- 992
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UNSL at eRisk 2021: A Comparison of Three Early Alert Policies for Early Risk DetectionLoyola, Juan Martín / Burdisso, Sergio / Thompson, Horacio / Cagnina, Leticia / Errecalde, Marcelo et al. | 2021
- 1022
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UniOR NLP at eRisk 2021: Assessing the Severity of Depression with Part of Speech and Syntactic FeaturesManna, Raffaele / Monti, Johanna et al. | 2021
- 1031
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Early Detection of Signs of Pathological Gambling, Self-Harm and Depression through Topic Extraction and Neural NetworksMaupomé, Diego / Armstrong, Maxime D. / Rancourt, Fanny / Soulas, Thomas / Meurs, Marie-Jean et al. | 2021
- 1046
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Transfer Learning for Automated Responses to the BDI QuestionnaireSpartalis, Christoforos / Drosatos, George / Arampatzis, Avi et al. | 2021
- 1059
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Towards transfer learning using BERT for early detection of self-harm of social media usersNisa, Qamar Un / Muhammad, Rafi et al. | 2021
- 1071
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A RoBERTa-based model on measuring the severity of the signs of depressionWu, Shih-Hung / Qiu, Zhao-Jun et al. | 2021
- 1081
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Overview of the VQA-Med Task at ImageCLEF 2021: Visual Question Answering and Generation in the Medical DomainAbacha, Asma Ben / Sarrouti, Mourad / Demner-Fushman, Dina / Hasan, Sadid A. / Müller, Henning et al. | 2021
- 1089
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Overview of ImageCLEFtuberculosis 2021 - CT-based Tuberculosis Type ClassificationKozlovski, Serge / Liauchuk, Vitali / Cid, Yashin Dicente / Kovalev, Vassili / Müller, Henning et al. | 2021
- 1101
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Overview of the ImageCLEFmed 2021 Concept & Caption Prediction TaskPelka, Obioma / Abacha, Asma Ben / García Seco de Herrera, Alba / Jacutprakart, Janadhip / Friedrich, Christoph M. / Müller, Henning et al. | 2021
- 1113
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Overview of ImageCLEFcoral 2021: Coral Reef Image Annotation of a 3D EnvironmentChamberlain, Jon / García Seco de Herrera, Alba / Campello, Antonio / Clark, Adrian / Oliver, Thomas / Moustahfid, Hassan et al. | 2021
- 1121
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Overview of the 2021 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn and Digital Website UIsBerari, Raul / Tăuteanu, Andrei / Fichou, Dimitri / Brie, Paul / Dogariu, Mihai / Ștefan, Liviu-Daniel / Constantin, Mihai Gabriel / Ionescu, Bogdan et al. | 2021
- 1133
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Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural NetworksAghajanzadeh, Emad / Shomali, Behzad / Aminshahidi, Diba / Ghassemi, Navid et al. | 2021
- 1145
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Simple Neural Network based TB ClassificationAnand, Anirudh / Anandan, Karthik Raja / Jayaraman, Bhuvana / Thai, Mirnalinee Thanga Nadar Thanga et al. | 2021
- 1151
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ImageCLEF 2021: Deep categorizing tuberculosis cases using normalization and pseudo-color CT imageAsakawa, Tetsuya / Tsuneda, Riku / Shimizu, Kazuki / Komoda, Takuyuki / Aono, Masaki et al. | 2021
- 1160
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Attention-based CNN-GRU Model For Automatic Medical Images Captioning: ImageCLEF 2021Beddiar, Djamila-Romaissa / Oussalah, Mourad / Seppänen, Tapio et al. | 2021
- 1174
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PUC Chile team at Caption Prediction: ResNet visual encoding and caption classification with Parametric ReLUCastro, Vicente / Pino, Pablo / Parra, Denis / Lobel, Hans et al. | 2021
- 1184
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AUEB NLP Group at ImageCLEFmed Caption Tasks 2021Charalampakos, Foivos / Karatzas, Vasilis / Kougia, Vasiliki / Pavlopoulos, John / Androutsopoulos, Ion et al. | 2021
- 1201
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Chabbiimen at VQA-Med 2021: Visual Generation of Relevant Natural Language Questions from Radiology Images for Anomaly DetectionChebbi, Imen et al. | 2021
- 1211
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TeamS at VQA-Med 2021: BBN-Orchestra for Long-tailed Medical Visual Question AnsweringEslami, Sedigheh / Melo, Gerard de / Meinel, Christoph et al. | 2021
- 1218
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SYSU-HCP at VQA-Med 2021: A Data-centric Model with Efficient Training Methodology for Medical Visual Question AnsweringGong, Haifan / Huang, Ricong / Chen, Guanqi / Li, Guanbin et al. | 2021
- 1229
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A Convolutional Neural Networks based Coral Reef Annotation and LocalizationGunti, Rohit / Rorissa, Abebe et al. | 2021
- 1239
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UI element detection from wireframe drawings of websitesGupta, Prasang / Bansal, Vishakha et al. | 2021
- 1253
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UAIC2021: Lung Analysis for Tuberculosis ClassificationHanganu, Alexandra / Simionescu, Cristian / Coca, Lucia-Georgiana / Iftene, Adrian et al. | 2021
- 1264
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NLIP-Essex-ITESM at ImageCLEFcaption 2021 task : Deep Learning-based Information Retrieval and Multi-label Classification towards improving Medical Image UnderstandingJacutprakart, Janadhip / Andrade, Francisco Parrilla / Cuan, Rodolfo / Compean, Arely Aceves / Papanastasiou, Giorgos / García Seco de Herrera, Alba et al. | 2021
- 1275
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Lijie at ImageCLEFmed VQA-Med 2021: Attention Model-based Efficient Interaction between MultimodalityLi, Jie / Liu, Shengyan et al. | 2021
- 1285
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Lijie at ImageCLEFmed Tuberculosis 2021: EfficientNet Simplified Tuberculosis Case ClassificationLi, Jie / Yang, Li / Bai, Yang et al. | 2021
- 1295
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TAM at VQA-Med 2021: A Hybrid Model with Feature Extraction and Fusion for Medical Visual Question AnsweringLi, Yong / Yang, Zhenguo / Hao, Tianyong et al. | 2021
- 1305
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Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNetLu, Xing / Chang, Eric Y. / Hsu, Chun-Nan / Du, Jiang / Gentili, Amilcare et al. | 2021
- 1310
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Identifying tuberculosis type in CTsMoisii, Cosmin / Miron, Radu / Breaban, Mihaela et al. | 2021
- 1317
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AEHRC CSIRO at ImageCLEFmed Caption 2021Nicolson, Aaron / Dowling, Jason / Koopman, Bevan et al. | 2021
- 1329
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SSN MLRG at VQA-MED 2021: An Approach for VQA to Solve Abnormality Related Queries using Improved DatasetsSitara, Noor Mohamed Sheerin / Kavitha, Srinivasan et al. | 2021
- 1336
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PUC Chile team at TBT Task: Diagnosis of Tuberculosis Type using segmented CT scansQuintana, José Miguel / Florea, Daniel / Deane, Ria / Parra, Denis / Pino, Pablo / Messina, Pablo / Löbel, Hans et al. | 2021
- 1346
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PUC Chile team at VQA-Med 2021: approaching VQA as a classification task via fine-tuning a pretrained CNNSchilling, Ricardo / Messina, Pablo / Parra, Denis / Löbel, Hans et al. | 2021
- 1352
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PUC Chile team at Concept Detection: K Nearest Neighbors with Perceptual SimilaritySchuit, Gregory / Castro, Vicente / Pino, Pablo / Parra, Denis / Lobel, Hans et al. | 2021
- 1359
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Automatic Coral Reef Annotation, Localization and Pixel-wise Parsing Using Mask R-CNNSoukup, Lukáš et al. | 2021
- 1365
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Kdelab at ImageCLEF 2021: Medical Caption Prediction with Effective Data Pre-processing and Deep LearningTsuneda, Riku / Asakawa, Tetsuya / Aono, Masaki et al. | 2021
- 1375
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Improving web user interface element detection using Faster R-CNNVyskočil, Jiří / Picek, Lukáš et al. | 2021
- 1387
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ImageSem Group at ImageCLEFmed Caption 2021 Task: Exploring the Clinical Significance of the Textual Descriptions Derived from Medical ImagesWang, Xuwen / Guo, Zhen / Xu, Chunyuan / Sun, Lianglong / Li, Jiao et al. | 2021
- 1394
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Pixelwise annotation of coral reef substratesWright, Jessica / Palosanu, Ioana-Lia / Clift, Louis / García Seco de Herrera, Alba / Chamberlain, Jon et al. | 2021
- 1405
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Yunnan University at VQA-Med 2021: Pretrained BioBERT for Medical Domain Visual Question AnsweringXiao, Qian / Zhou, Xiaobing / Xiao, Ya / Zhao, Kun et al. | 2021
- 1412
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ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scansZunair, Hasib / Rahman, Aimon / Mohammed, Nabeel et al. | 2021
- 1422
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Overview of PlantCLEF 2021: cross-domain plant identificationGoëau, Hervé / Bonnet, Pierre / Joly, Alexis et al. | 2021
- 1437
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Overview of BirdCLEF 2021: Bird call identification in soundscape recordingsKahl, Stefan / Denton, Tom / Klinck, Holger / Glotin, Hervé / Goëau, Hervé / Vellinga, Willem-Pier / Planqué, Robert / Joly, Alexis et al. | 2021
- 1451
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Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing imagesLorieul, Titouan / Cole, Elijah / Deneu, Benjamin / Servajean, Maximilien / Bonnet, Pierre / Joly, Alexis et al. | 2021
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Overview of SnakeCLEF 2021: Automatic Snake Species Identification with Country-Level FocusPicek, Lukáš / Durso, Andrew / Bolon, Isabelle / Castaneda, Rafael Ruiz de et al. | 2021
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EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location InformationBloch, Louise / Friedrich, Christoph M. et al. | 2021
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Incorporation of object detection models and location data into snake species classificationBorsodi, Regő / Papp, Dávid et al. | 2021
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A Deep Learning Method for Visual Recognition of Snake SpeciesChamidullin, Rail / Šulc, Milan / Matas, Jiří / Picek, Lukáš et al. | 2021
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Improved Herbarium-Field Triplet Network for Cross-Domain Plant Identification: NEUON Submission to LifeCLEF 2021 PlantChulif, Sophia / Chang, Yang Loong et al. | 2021
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UAIC-AI at SnakeCLEF 2021: Impact of convolutions in snake species recognitionCoca, Lucia Georgiana / Popa, Alexia Theodora / Croitoru, Razvan Contantin / Bejan, Luciana Paraschiva / Iftene, Adrian et al. | 2021
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Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 SolutionConde, Marcos V. / Shubham, Kumar / Agnihotri, Prateek / Movva, Nitin D. / Bessenyei, Szilard et al. | 2021
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Bird-Species Audio Identification, Ensembling 1D + 2D SignalsDas, Gyanendra / Aggarwal, Saksham et al. | 2021
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Snake Species Classification using Transfer Learning TechniqueDesingu, Karthik / Palaniappan, Mirunalini / Kumar, Jitesh et al. | 2021
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Recognizing bird species in diverse soundscapes under weak supervisionHenkel, Christof / Pfeiffer, Pascal / Singer, Philipp et al. | 2021
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Automatic Snake Classification using Deep Learning AlgorithmKalinathan, Lekshmi / Balasundaram, Prabavathy / Ganesh, Pradeep / Bathala, Sandeep Sekhar / Mukesh, Rahul Kumar et al. | 2021
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Birdcall Identification Using CNN and Gradient Boosting Decision Trees with Weak and Noisy SupervisionMurakami, Naoki / Tanaka, Hajime / Nishimori, Masataka et al. | 2021
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STFT Transformers for Bird Song RecognitionPuget, Jean-Francois et al. | 2021
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TUC Media Computing at BIRDCLEF 2021: Noise augmentation strategies in bird sound classification in combination with DenseNets and ResNetsSampathkumar, Arunodhayan / Kowerko, Danny et al. | 2021
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Learning to Monitor Birdcalls From Weakly-Labeled Focused RecordingsSchlüter, Jan et al. | 2021
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Contrastive Representation Learning for Natural World Imagery: Habitat prediction for 30,000 speciesSeneviratne, Sachith et al. | 2021
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BirdCLEF 2021: building a birdcall segmentation model based on weak labelsShugaev, Maxim / Tanahashi, Naoya / Dhingra, Philip / Patel, Urvish et al. | 2021
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Weighted Pseudo Labeling Refinement for Plant IdentificationZhang, Youshan / Davison, Brian et al. | 2021
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Overview of LiLAS 2021 – Living Labs for Academic Search (Extended Overview)Schaer, Philipp / Breuer, Timo / Castro, Leyla Jael / Wolff, Benjamin / Schaible, Johann / Tavakolpoursaleh, Narges et al. | 2021
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TEKMA at CLEF-2021: BM-25 based rankings for scientific publication retrieval and data set recommendationKeller, Jüri / Munz, Leon Paul Mondrian et al. | 2021
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PyTerrier-based Research Data Recommendations for Scientific Articles in the Social SciencesTavakolpoursaleh, Narges / Schaible, Johann et al. | 2021
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Ad-hoc Retrieval of scientific Documents on the LIVIVO Search PortalTran, Anh Huy Matthias / Kruff, Andreas / Thos, Joshua / Krah, Constantin / Reiners, Michelle / Ax, Fabian / Brech, Saskia / Gharib, Sascha / Pawlas, Verena et al. | 2021
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Overview of the Cross-Domain Authorship Verification Task at PAN 2021Kestemont, Mike / Manjavacas, Enrique / Markov, Ilia / Bevendorff, Janek / Wiegmann, Matti / Stamatatos, Efstathios / Stein, Benno / Potthast, Martin et al. | 2021
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Overview of the Style Change Detection Task at PAN 2021Zangerle, Eva / Mayerl, Maximilian / Potthast, Martin / Stein, Benno et al. | 2021
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Profiling Hate Speech Spreaders on Twitter Task at PAN 2021Rangel, Francisco / Sarracén, Gretel Liz De La Peña / Chulvi, Berta / Fersini, Elisabetta / Rosso, Paolo et al. | 2021
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Profiling Hate Spreaders using word N-gramsAlcañiz, Jorge / Andrés, José et al. | 2021
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Profiling Hate Speech Spreaders by Classifying Micro Texts Using BERT ModelAlzahrani, Esam / Jololian, Leon et al. | 2021
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Profiling Hate Speech Spreaders on TwitterCarracedo, Àngel Andújar / Mondéjar, Raquel Jiménez et al. | 2021
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Identify Hate Speech Spreaders on Twitter using Transformer Embeddings Features and AutoML ClassifiersAnwar, Talha et al. | 2021
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Profiling Haters on Twitter using Statistical and Contextualized EmbeddingsGiglou, Hamed Babaei / Rahgooy, Taher / Razmara, Jafar / Rahgouy, Mostafa / Rahgooy, Zahra et al. | 2021
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Profiling Spreaders of Hate Speech with N-grams and RoBERTaBagdon, Christopher et al. | 2021
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HSSD: Hate Speech Spreader Detection using N-grams and Voting ClassifierBalouchzahi, Fazlourrahman / Lakshmaiah, Shashirekha Hosahalli / Sidorov, Grigori et al. | 2021
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Unified and Multilingual Author Profiling for Detecting HatersSchlicht, Ipek Baris / Paula, Angel Felipe Magnossão de et al. | 2021
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O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship VerificationBönninghoff, Benedikt / Nickel, Robert / Kolossa, Dorothea et al. | 2021
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INFOTEC-LaBD at PAN@CLEF21: Profiling Hate Speech Spreaders on Twitter through Emotion-based RepresentationsCabrera, Hiram / Miranda, Sabino / Tellez, Eric et al. | 2021
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Exploiting Contextualized Word Representations to Profile Haters on TwitterCeron, Tanise / Casula, Camilla et al. | 2021
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Use of Lexical and Psycho-Emotional Information to Detect Hate Speech Spreaders on Twitter - Notebook for PAN at CLEF 2021Cervero, Riccardo et al. | 2021
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Style Change Detection on Real-World Data using an LSTM-powered Attribution AlgorithmDeibel, Robert / Loefflad, Denise et al. | 2021
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Profiling Hate Speech Spreaders using Characters andWords N-gramsEspinosa, Daniel / Sidorov, Grigori et al. | 2021
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UniNE at PAN-CLEF 2021Ikae, Catherine et al. | 2021
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UniNE at PAN-CLEF 2021: Authorship VerificationIkae, Catherine et al. | 2021
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Using N-grams and Statistical Features to Identify Hate Speech Spreaders on TwitterKatona, Eszter / Buda, Jakab / Bolonyai, Flora et al. | 2021
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Deep Modeling of Latent Representations for Twitter Profiles on Hate Speech Spreaders Identification. Notebook for PAN at CLEF 2021Labadie, Roberto / Castro-Castro, Daniel / Bueno, Reynier Ortega et al. | 2021
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HaMor at the Profiling Hate Speech Spreaders on TwitterLai, Mirko / Stranisci, Marco Antonio / Bosco, Cristina / Damiano, Rossana / Patti, Viviana et al. | 2021
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Authorship Verification based on Lucene architectureLiao, Zhihao / Han, Yong / Kong, Leilei / Hong, Zhuopeng / Li, Zijian / Liang, Guiyuan / Mo, Zhenwei / Li, Zhixian / Han, Zhongyuan et al. | 2021
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Hate Speech Detection on TwitterRodriguez, Carolina Martin del Campo / Sidorov, Grigori / Batyrshin, Ildar et al. | 2021
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Authorship Verification with neural networks via stylometric feature concatenationMenta, Antonio / Garcia-Serrano, Ana et al. | 2021
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Dual Neural Network Classification Based on BERT Feature Extraction for Authorship VerificationMiao, Xiaogang / Qi, Haoliang / Zhang, Zhijie / Cao, Guiyuan / Lin, Ruilan / Lin, Wenbin et al. | 2021
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University of Regensburg PAN: Profiling Hate Speech Spreaders on TwitterAkomeah, Kwabena Odame / Kruschwitz, Udo / Ludwig, Bernd et al. | 2021
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Local Classification with Recurrent Neural Network for Profiling Hate Speech Spreaders on Twitter. Notebook for PAN at CLEF 2021Pallarés, Pablo / Herrero, Carlos et al. | 2021
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Encoding Text Information By Pre-trained Model For Authorship VerificationPeng, Zeyang / Kong, Leilei / Zhang, Zhijie / Han, Zhongyuan / Sun, Xu et al. | 2021
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Feature Similarity-based Regression Models for Authorship VerificationPinzhakova, Marina / Yagel, Tom / Rabinovits, Jakov et al. | 2021
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Phonetic Detection for Hate Speech Spreaders on TwitterPuertas, Edwin / Martinez-Santos, Juan Carlos et al. | 2021
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Writing Style Change Detection on Multi-Author DocumentsSingh, Rhia / Weerasinghe, Janith / Greenstadt, Rachel et al. | 2021
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Multi-label Style Change Detection by Solving a Binary Classification ProblemStrøm, Eivind et al. | 2021
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Multi-level stacked ensemble with sparse and dense features for hate speech detection on TwitterTosev, Darko / Gievska, Sonja et al. | 2021
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Detecting Hate Speech Spreaders on Twitter using LSTM and BERT in English and SpanishUzan, Moshe / Hacohen-Kerner, Yaakov et al. | 2021
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Profiling Hate Speech Spreaders on Twitter: Exploiting Textual Analysis of Tweets and Combination of Textual RepresentationsAndrade, Claudio Moisés Valiense de / Gonçalves, Marcos André et al. | 2021
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Feature Vector Difference based Authorship Verification for Open-World SettingsWeerasinghe, Janith / Singh, Rhia / Greenstadt, Rachel et al. | 2021
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Style Change Detection Based On Writing Style SimilarityZhang, Zhijie / Han, Zhongyuan / Kong, Leilei / Miao, Xiaogang / Peng, Zeyang / Zeng, Jieming / Cao, Haojie / Zhang, Jinxi / Xiao, Ziwei / Peng, Xuemei et al. | 2021
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Overview of SimpleText CLEF 2021 Workshop and Pilot TasksErmakova, Liana / Bellot, Patrice / Braslavski, Pavel / Kamps, Jaap / Mothe, Josiane / Nurbakova, Diana / Ovchinnikova, Irina / Sanjuan, Eric et al. | 2021
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Overview of the SimpleText Workshop at INFORSID-2021: Scientific Text Simplification and PopularizationErmakova, Liana / Mothe, Josiane / Sanjuan, Eric et al. | 2021
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Multimodal science communication: from documentary research to infographic via mind mappingAraújo, Sílvia / Hannachi, Radia et al. | 2021
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LIA@SimpleText2021: automatic query extraction from press outlets for mining related readable passages in scientific literatureHajjem, Malek / Sanjuan, Eric et al. | 2021
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What Science-Related Topics Need to Be Popularized? A Comparative StudyOvchinnikova, Irina / Nurbakova, Diana / Ermakova, Liana et al. | 2021
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Importance of Data and Controllability in Neural Text SimplificationXu, Wei et al. | 2021
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Overview of Touché 2021: Argument RetrievalBondarenko, Alexander / Gienapp, Lukas / Fröbe, Maik / Beloucif, Meriem / Ajjour, Yamen / Panchenko, Alexander / Biemann, Chris / Stein, Benno / Wachsmuth, Henning / Potthast, Martin et al. | 2021
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Exploring Argument Retrieval for Controversial Questions Using Retrieve and Re-rank PipelinesAgarwal, Raunak / Koniaev, Andrei / Schaefer, Robin et al. | 2021
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Learning to rank arguments with feature selectionAkiki, Christopher / Fröbe, Maik / Hagen, Matthias / Potthast, Martin et al. | 2021
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Development of an IR System for Argument SearchAlecci, Marco / Baldo, Tommaso / Martinelli, Luca / Ziroldo, Elia et al. | 2021
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DistilBERT-based Argumentation Retrieval for Answering Comparative QuestionsAlhamzeh, Alaa / Bouhaouel, Mohamed / Egyed-Zsigmond, Elöd / Mitrović, Jelena et al. | 2021
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Document retrieval task on controversial topic with Re-Ranking approachCassetta, Andrea / Piva, Alberto / Vicentini, Enrico et al. | 2021
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Retrieving Comparative Arguments using Ensemble Methods and BERTChekalina, Viktoriia / Panchenko, Alexander et al. | 2021
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Quality-aware Argument Retrieval with Topical ClusteringGienapp, Lukas et al. | 2021
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Exploring BERT Synonyms and Quality Prediction for Argument RetrievalGreen, Tommaso / Moroldo, Luca / Valente, Alberto et al. | 2021
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Touché Task 2: Comparative Argument Retrieval A document-based search engine for answering comparative questionsHelmrich, Daniel / Streitmatter, Denis / Fuchs, Fionn / Heykeroth, Maximilian et al. | 2021
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Argument Retrieval for Comparative Questions based on independent featuresLuu, Thi Kim Hanh / Weder, Jan-Niklas et al. | 2021
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Exploring Document Expansion for Argument RetrievalMailach, Alina / Arnold, Denise / Eysoldt, Stefan / Kleine, Simon et al. | 2021
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A Search Engine System for Touché Argument Retrieval task to answer Controversial QuestionsRaimondi, Edoardo / Alessio, Marco / Levorato, Nicola et al. | 2021
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Team Skeletor at Touché 2021: Argument Retrieval and Visualization for Controversial QuestionsRos, Kevin / Edwards, Carl / Ji, Heng / Zhai, Chengxiang et al. | 2021
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Thor at Touché 2021: Argument Retrieval for Comparative QuestionsShirshakova, Ekaterina / Wattar, Ahmad et al. | 2021