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ORCIDCLEF 2023: Thessaloniki, Greece - Working Notes
- Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, Michalis Vlachos:
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023. CEUR Workshop Proceedings 3497, CEUR-WS.org 2023
Large-scale biomedical semantic indexing and question answering (BioASQ)
- Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gascó, Anastasios Nentidis, Anastasia Krithara, Georgios Katsimpras, Georgios Paliouras, Martin Krallinger:
Overview of MedProcNER Task on Medical Procedure Detection and Entity Linking at BioASQ 2023. 1-18 - Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Georgios Paliouras:
Overview of BioASQ Tasks 11b and Synergy11 in CLEF2023. 19-26 - Anna Aksenova, Tsvetan Asamov, Petar Ivanov, Svetla Boytcheva:
Improving Biomedical Question Answering with Sentence-based Ranking at BioASQ-11b. 27-36 - Tiago Almeida, Richard Adolph Aires Jonker, Roshan Poudel, Jorge Miguel Silva, Sérgio Matos:
BIT.UA at BioASQ 11B: Two-Stage IR with Synthetic Training and Zero-Shot Answer Generation. 37-59 - Tiago Almeida, Richard Adolph Aires Jonker, Roshan Poudel, Jorge Miguel Silva, Sérgio Matos:
BIT.UA at MedProcNer: Discovering Medical Procedures in Spanish Using Transformer Models with MCRF and Augmentation. 60-72 - Samy Ateia, Udo Kruschwitz:
Is ChatGPT a Biomedical Expert? 73-90 - Mariia Chizhikova, Jaime Collado-Montañez, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María Teresa Martín-Valdivia:
Coming a Long Way with Pre-Trained Transformers and String Matching Techniques: Clinical Procedure Mention Recognition and Normalization. 91-101 - Dima Galat, Marian-Andrei Rizoiu:
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training. 102-113 - Chun-Yu Hsueh, Yu Zhang, Yu-Wei Lu, Jen-Chieh Han, Wilailack Meesawad, Richard Tzong-Han Tsai:
NCU-IISR: Prompt Engineering on GPT-4 to Stove Biological Problems in BioASQ 11b Phase B. 114-121 - Petar Ivanov, Anna Aksenova, Tsvetan Asamov, Svetla Boytcheva:
Leveraging Biomedical Ontologies for Clinical Procedures Recognition in Spanish at BioASQ MedProcNER. 122-131 - Hyunjae Kim, Hyeon Hwang, Chaeeun Lee, Minju Seo, Wonjin Yoon, Jaewoo Kang:
Exploring Approaches to Answer Biomedical Questions: From Pre-processing to GPT-4. 132-144 - Maël Lesavourey, Gilles Hubert:
BioASQ 11B: Integrating Domain Specific Vocabulary to BERT-based Model for Biomedical Document Ranking. 145-151 - Dimitra N. Panou, Martin Reczko:
Semi-supervised training for biomedical question answering. 152-158 - Raghav R, Jason Rauchwerk, Parth Rajwade, Tanay Gummadi, Eric Nyberg, Teruko Mitamura:
Biomedical Question Answering with Transformer Ensembles. 159-167 - Andrés Rosso-Mateus, León A. Muñoz-Serna, Manuel Montes-y-Gómez, Fabio A. González:
Deep Metric Learning for Effective Passage Retrieval in the BioASQ Challenge. 168-177 - Ashley Shin, Qiao Jin, Zhiyong Lu:
Multi-stage Literature Retrieval System Trained by PubMed Search Logs for Biomedical Question Answering. 178-189 - Sylvia Vassileva, Georgi Grazhdanski, Svetla Boytcheva, Ivan Koychev:
Fusion @ BioASQ MedProcNER: Transformer-based Approach for Procedure Recognition and Linking in Spanish Clinical Text. 190-205 - Elena Zotova, Aitor García Pablos, Montse Cuadros, German Rigau:
VICOMTECH at MedProcNER 2023: Transformers-based Sequence-labelling and Cross-encoding for Entity Detection and Normalisation in Spanish Clinical Texts. 206-218
Check-Worthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Sources (CheckThat!)
- Firoj Alam, Alberto Barrón-Cedeño, Gullal S. Cheema, Gautam Kishore Shahi, Sherzod Hakimov, Maram Hasanain, Chengkai Li, Rubén Míguez, Hamdy Mubarak, Wajdi Zaghouani, Preslav Nakov:
Overview of the CLEF-2023 CheckThat! Lab Task 1 on Check-Worthiness in Multimodal and Multigenre Content. 219-235 - Andrea Galassi, Federico Ruggeri, Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli, Mücahid Kutlu, Julia Maria Struß
, Francesco Antici, Maram Hasanain, Juliane Köhler, Katerina Korre, Folkert Leistra, Arianna Muti, Melanie Siegel, Mehmet Deniz Türkmen, Michael Wiegand, Wajdi Zaghouani:
Overview of the CLEF-2023 CheckThat! Lab: Task 2 on Subjectivity Detection. 236-249 - Giovanni Da San Martino, Firoj Alam, Maram Hasanain, Rabindra Nath Nandi, Dilshod Azizov, Preslav Nakov:
Overview of the CLEF-2023 CheckThat! Lab Task 3 on Political Bias of News Articles and News Media. 250-259 - Preslav Nakov, Firoj Alam, Giovanni Da San Martino, Maram Hasanain, Dilshod Azizov, Rabindra Nath Nandi, Panayot Panayotov:
Overview of the CLEF-2023 CheckThat! Lab Task 4 on Factuality of Reporting of News Media. 260-268 - Fatima Haouari, Tamer Elsayed, Zien Sheikh Ali:
Overview of the CLEF-2023 CheckThat! Lab Task 5 on Authority Finding in Twitter. 269-278 - Abdul Aziz, Md. Akram Hossain, Abu Nowshed Chy:
CSECU-DSG at CheckThat!-2023: Transformer-based Fusion Approach for Multimodal and Multigenre Check-Worthiness. 279-288 - Dilshod Azizov, Preslav Nakov, Shangsong Liang:
Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media. 289-305 - Ipek Baris Schlicht, Lynn Khellaf, Defne Altiok:
DWReCO at CheckThat!-2023: Enhancing Subjectivity Detection through Style-based Data Sampling. 306-317 - Krishno Dey, Prerona Tarannum, Md. Arid Hasan, Sheak Rashed Haider Noori:
NN at CheckThat!-2023: Subjectivity in News Articles Classification with Transformer Based Models. 318-328 - Raphael Antonius Frick:
Fraunhofer SIT at CheckThat!-2023: Can LLMs Be Used for Data Augmentation & Few-Shot Classification? Detecting Subjectivity in Text Using ChatGPT. 329-336 - Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi:
Fraunhofer SIT at CheckThat!-2023: Enhancing the Detection of Multimodal and Multigenre Check-Worthiness Using Optical Character Recognition and Model Souping. 337-350 - Folkert Atze Leistra, Tommaso Caselli:
Thesis Titan at CheckThat!-2023: Language-Specific Fine-tuning of mDeBERTaV3 for Subjectivity Detection. 351-359 - Chenxin Li, Ruijin Xue, Chichen Lin, Weijian Fan, Xiao Han:
CUCPLUS at CheckThat!-2023: Text Combination and Regularized Adversarial Training for News Media Factuality Evaluation. 360-371 - Juan R. Martinez-Rico, Lourdes Araujo, Juan Martínez-Romo:
NLPIR-UNED at CheckThat!-2023: Ensemble of Classifiers for Check-Worthiness Estimation. 372-382 - Arkadiusz Modzelewski, Witold Sosnowski, Adam Wierzbicki:
DSHacker at CheckThat!-2023: Check-Worthiness in Multigenre and Multilingual Content With GPT-3.5 Data Augmentation. 383-393 - Rabindra Nath Nandi, Firoj Alam:
TeamX at CheckThat!-2023: Multilingual and Multimodal Approach for Check-Worthines Detection. 394-403 - Georgi Pachov, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov:
Gpachov at CheckThat!-2023: A Diverse Multi-approach Ensemble for Subjectivity Detection in News Articles. 404-412 - Hamza Tarik Sadouk, Faouzi Sebbak, Hussem Eddine Zekiri:
ES-VRAI at CheckThat!-2023: Leveraging Bio and Lists Information for Enhanced Rumor Verification in Twitter. 413-422 - Hamza Tarik Sadouk, Faouzi Sebbak, Hussem Eddine Zekiri:
ES-VRAI at CheckThat!-2023: Enhancing Model Performance for Subjectivity Detection through Multilingual Data Aggregation. 423-429 - Hamza Tarik Sadouk, Faouzi Sebbak, Hussem Eddine Zekiri:
ES-VRAI at CheckThat!-2023: Analyzing Checkworthiness in Multimodal and Multigenre Contents through Fusion and Sampling Approaches. 430-444 - Abdullah Al Mamun Sardar, Md. Ziaul Karim, Krishno Dey, Md. Arid Hasan:
FakeDTML at CheckThat!-2023: Identifying Check-Worthiness of Tweets and Debate Snippets. 445-452 - Marcin Sawinski, Krzysztof Wecel, Ewelina Ksiezniak, Milena Strózyna, Wlodzimierz Lewoniewski, Piotr Stolarski, Witold Abramowicz:
OpenFact at CheckThat!-2023: Head-to-Head GPT vs. BERT - A Comparative Study of Transformers Language Models for the Detection of Check-worthy Claims. 453-472 - Elena Shushkevich, John Cardiff:
TUDublin at CheckThat!-2023: ChatGPT for Data Augmentation. 473-481 - Prerona Tarannum, Md. Arid Hasan, Firoj Alam, Sheak Rashed Haider Noori:
Z-Index at CheckThat!-2023: Unimodal and Multimodal Check-worthiness Classification. 482-493 - Sieu Tran, Paul Rodrigues, Benjamin Strauss, Evan M. Williams:
Accenture at CheckThat!-2023: Learning to Detect Factuality Levels of News Sources. 494-499 - Sieu Tran, Paul Rodrigues, Benjamin Strauss, Evan M. Williams:
Accenture at CheckThat!-2023: Learning to Detect Political Bias of News Articles and Sources. 500-506 - Sieu Tran, Paul Rodrigues, Benjamin Strauss, Evan M. Williams:
Accenture at CheckThat!-2023: Impacts of Back-translation on Subjectivity Detection. 507-517 - Sieu Tran, Paul Rodrigues, Benjamin Strauss, Evan M. Williams:
Accenture at CheckThat!-2023: Identifying Claims with Societal Impact using NLP Data Augmentation. 518-525 - Mehmet Deniz Türkmen, Gökalp Cosgun, Mücahid Kutlu:
TOBB ETU at CheckThat!-2023: Utilizing ChatGPT to Detect Subjective Statements and Political Bias. 526-533 - Pius von Däniken, Jan Deriu, Mark Cieliebak:
ZHAW-CAI at CheckThat!-2023: Ensembling using Kernel Averaging. 534-545
Document Information Localization and Extraction (DocILE)
- Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
Extended Overview of DocILE 2023: Document Information Localization and Extraction. 546-571 - Bao Gia Tran, Duy-Ngo Minh Bao, Khanh Gia Bui, Huy Viet Duong, Dang Hai Nguyen, Hieu Minh Nguyen:
RoBERTa Ensemble Technique for Document Information Localization and Extraction. 572-582 - Jakub Straka, Ivan Gruber:
Object Detection Pipeline Using YOLOv8 for Document Information Extraction. 583-597 - Yan Wang, Jun Du, Jiefeng Ma, Pengfei Hu, Zhenrong Zhang, Jianshu Zhang:
USTC-iFLYTEK at DocILE: A Multi-modal Approach Using Domain-specific GraphDoc. 598-610
Early Risk Prediction on the Internet (eRisk)
- Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview). 611-638 - Eduardo Bezerra, Leonardo Ferreira dos Santos, Rodolpho Nascimento, Rui Pedro Lopes, Gustavo Paiva Guedes:
NailP at eRisk 2023: Search for Symptoms of Depression. 639-661 - Ana-Maria Bucur:
Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media. 662-671 - Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
NLP-UNED-2 at eRisk 2023: Detecting Pathological Gambling in Social Media through Dataset Relabeling and Neural Networks. 672-683 - Diana-Nicoleta Grigore, Ioana Pintilie:
Transformer-based Topic Modeling to Measure the Severity of Eating Disorder Symptoms. 684-692 - Xabier Larrayoz, Nuria Lebeña, Arantza Casillas, Alicia Pérez:
Representation Exploration and Deep Learning Applied to the Early Detection of Pathological Gambling Risks. 693-705 - Juan Martínez-Romo, Lourdes Araujo, Xabier Larrayoz, Maite Oronoz, Alicia Pérez:
OBSER-MENH at eRisk 2023: Deep Learning-Based Approaches for Symptom Detection in Depression and Early Identification of Pathological Gambling Indicators. 706-717 - Diego Maupomé, Thomas Soulas, Fanny Rancourt, Ghyslain Cantin-Savoie, Grégoire Winterstein, Sébastien Mosser, Marie-Jean Meurs:
Lightweight Methods for Early Risk Detection. 718-726 - Ghofrane Merhbene, Alexandre R. Puttick, Mascha Kurpicz-Briki:
BFH-AMI at eRisk@CLEF 2023. 727-735 - Antonio Molina, Xinhui Huang, Lluís-F. Hurtado, Ferran Pla:
ELiRF-UPV at eRisk 2023: Early detection of pathological gambling using SVM. 736-742 - Alba María Mármol-Romero, Flor Miriam Plaza del Arco, Arturo Montejo-Ráez:
SINAI at eRisk@CLEF 2023: Approaching Early Detection of Gambling with Natural Language Processing. 743-751 - Ronghao Pan, José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at eRisk@CLEF 2023 Shared Task: Transformer Models for Early Detection of Pathological Gambling, Depression, and Eating Disorder. 752-762 - Naveen Recharla, Prasanthi Bolimera, Yash Gupta, Anand Kumar Madasamy:
Exploring Depression Symptoms through Similarity Methods in Social Media Posts. 763-772 - Fardin Ahsan Sakib, Ahnaf Atef Choudhury, Özlem Uzuner:
MASON-NLP at eRisk 2023: Deep Learning-Based Detection of Depression Symptoms from Social Media Texts. 773-781 - Abu Talha, Tanmay Basu:
A Natural Language Processing Based Risk Prediction Framework for Pathological Gambling. 782-790 - Horacio Thompson, Leticia C. Cagnina, Marcelo Errecalde:
Strategies to Harness the Transformers' Potential: UNSL at eRisk 2023. 791-804 - Yuxi Wang, Diana Inkpen:
uOttawa at eRisk 2023: Search for Symptoms of Depression. 805-812
sEXism Identification in Social neTworks (EXIST)
- Laura Plaza, Jorge Carrillo de Albornoz, Roser Morante, Enrique Amigó, Julio Gonzalo, Damiano Spina, Paolo Rosso:
Overview of EXIST 2023 - Learning with Disagreement for Sexism Identification and Characterization (Extended Overview). 813-854 - Jason Angel, Segun Taofeek Aroyehun, Alexander F. Gelbukh:
Multilingual Sexism Identification Using Contrastive Learning. 855-861 - Hardik Asnani, Andrew Davis, Aaryana Rajanala, Sandra Kübler:
Tlatlamiztli: Fine-Tuned RoBERTuito for Sexism Detection. 862-868 - Matthew Buzzell, Jeremy Dickinson, Natasha Singh, Sandra Kübler:
IU-NLP-JeDi: Investigating Sexism Detection in English and Spanish. 869-877 - Jaqueline Böck, Mina Schütz, Daria Liakhovets, Nathanya Queby Satriani, Andreas Babic, Djordje Slijepcevic, Matthias Zeppelzauer, Alexander Schindler:
AIT_FHSTP at EXIST 2023 Benchmark: Sexism Detection by Transfer Learning, Sentiment and Toxicity Embeddings and Hand-Crafted Features. 878-890 - Atul Chaudhary, Ritesh Kumar:
Sexism Identification In Social Networks. 891-900 - Pablo Cordon, Jacinto Mata, Victoria Pachón, Juan Luis Domínguez:
I2C-UHU at CLEF-2023 EXIST task: Leveraging Ensembling Language Models to Detect Multilingual Sexism in Social Media. 901-907 - Johan Erbani, Elöd Egyed-Zsigmond, Diana Nurbakova, Pierre-Edouard Portier:
When Multiple Perspectives and an Optimization Process Lead to Better Performance, an Automatic Sexism Identification on Social Media With Pretrained Transformers in a Soft Label Context. 908-918 - Berna Ilke Ersoy, Gian Radler, Sofia Carpentieri:
CLassifiers at EXIST 2023: Detecting Sexism in Spanish and English Tweets With XLM-T. 919-926 - Elizabeth Gabel, Holly Redman, Daniel Swanson, Sandra Kübler:
IU-Percival: Linear Models for Sexism Detection. 927-936 - José Antonio García-Díaz, Ronghao Pan, Rafael Valencia-García:
UMUTeam at EXIST 2023: Sexism identification and categorisation fine-tuning Multilingual Large Language Models. 937-949 - Yash A. Hatekar, Muhammad S. Abdo, Snigdha Khanna, Sandra Kübler:
IUEXIST: Multilingual Pre-trained Language Models for Sexism Detection on Twitter in EXIST2023. 950-958 - Chirayu Jhakal, Khushi Singal, Manan Suri, Divya Chaudhary, Bijendra Kumar, Ian Gorton:
Detection of Sexism on Social Media with Multiple Simple Transformers. 959-966 - Rohit Koonireddy, Niloofar Adel:
ROH_NEIL@EXIST2023: Detecting Sexism in Tweets using Multilingual Language Models. 967-984 - Angel Felipe Magnossão de Paula, Giulia Rizzi, Elisabetta Fersini, Damiano Spina:
AI-UPV at EXIST 2023 - Sexism Characterization Using Large Language Models Under The Learning with Disagreement Regime. 985-999 - Hadi Mohammadi, Anastasia Giachanou, Ayoub Bagheri:
Towards Robust Online Sexism Detection: A Multi-Model Approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST 2023 Tasks. 1000-1011 - Arianna Muti, Eleonora Mancini:
Enriching Hate-Tuned Transformer-Based Embeddings with Emotions for the Categorization of Sexism. 1012-1023 - Jacobo Pedrosa-Marín, Jorge Carrillo-de-Albornoz, Laura Plaza:
Combining Transformer Based Language Models with Socio-demographic Information for Improving Sexism Detection in Social Media. 1024-1036 - Alexandru Petrescu:
Leveraging MiniLMv2 Pipelines for EXIST2023. 1037-1043 - Srinivasa Ravi, Siddharth Kelkar, Anand Kumar Madasamy:
LSTM-Attention Architecture for Online Bilingual Sexism Detection. 1044-1059 - Zackary Leech, Ravi Regulagedda, Sandra Kübler:
ZaRa-IU-NLP at EXIST 2023 - Sexism Identification: Specialized or Generalized? 1060-1066 - Andrea Sanchez-Urbina, Helena Gómez-Adorno, Gemma Bel-Enguix, Vianey Rodríguez-Figueroa, Angela Monge-Barrera:
IimasGIL_NLP@EXIST2023: Unveiling Sexism on Twitter with Fine-tuned Transformers. 1067-1082 - Lin Tian, Nannan Huang, Xiuzhen Zhang:
Efficient Multilingual Sexism Detection via Large Language Model Cascades. 1083-1090 - María Estrella Vallecillo Rodríguez, Flor Miriam Plaza del Arco, Luis Alfonso Ureña López, María Teresa Martín-Valdivia, Arturo Montejo-Ráez:
Integrating Annotator Information in Transformer Fine-tuning for Sexism Detection. 1091-1106 - Advaitha Vetagiri, Prottay Kumar Adhikary, Partha Pakray, Amitava Das:
Leveraging GPT-2 for Automated Classification of Online Sexist Content. 1107-1122
Intelligent Disease Progression Prediction at CLEF (iDPP@CLEF)
- Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro:
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. 1123-1164 - Tsvetan Asamov, Petar Ivanov, Anna Aksenova, Dimitar Taskov, Svetla Boytcheva:
Maximum Likelihood Estimation with Deep Learning for Multiple Sclerosis Progression Prediction. 1165-1185 - Ruben Branco, Diogo F. Soares, Andreia S. Martins, Joana Barros Valente, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos:
Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis. 1186-1198 - Ruben Branco, Joana Barros Valente, Andreia S. Martins, Diogo F. Soares, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos:
Survival Analysis for Multiple Sclerosis: Predicting Risk of Disease Worsening. 1199-1209 - Tommaso Mario Buonocore, Pietro Bosoni, Giovanna Nicora, Mahin Vazifehdan, Riccardo Bellazzi, Enea Parimbelli, Arianna Dagliati:
Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis. 1210-1218 - Alessandro Guazzo, Isotta Trescato, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo:
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression. 1219-1232 - Marek Hanzl, Lukás Picek:
Predicting Risk of Multiple Sclerosis Worsening. 1233-1245 - Mohamed Chiheb Karray:
Air Pollution Profiling through Patient Stratification: Study of ALS Staging Systems Usefulness in Facilitating Data-driven Disease Subtyping and Discovery of Hazardous Ambient Air Pollutants. 1246-1271 - Angela Lombardi, Maria Luigia Natalia De Bonis, Giuseppe Fasano, Alessia Sportelli, Tommaso Colafiglio, Domenico Lofù, Paolo Sorino, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia:
Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction: Results from iDPP@CLEF 2023. 1272-1285 - Alberto Ramos, Paloma Martínez, Israel González-Carrasco:
HULAT@IDDP CLEF 2023: Intelligent Prediction of Disease Progression in Multiple Sclerosis Patients. 1286-1297 - Ivan Rossi, Giovanni Birolo, Piero Fariselli:
Multiple Sclerosis Survival Prediction Results from DSM-COMPBIO UNITO. 1298-1304
Multimedia Retrieval Challenge in CLEF (ImageCLEF)
- Alexandra-Georgiana Andrei, Ahmedkhan Radzhabov, Ioan Coman, Vassili Kovalev, Bogdan Ionescu, Henning Müller:
Overview of ImageCLEFmedical GANs 2023 Task - Identifying Training Data "Fingerprints" in Synthetic Biomedical Images Generated by GANs for Medical Image Security. 1305-1315 - Steven Hicks, Andrea M. Storås, Pål Halvorsen, Thomas de Lange, Michael Riegler, Vajira Thambawita:
Overview of ImageCLEFmedical 2023 - Medical Visual Question Answering for Gastrointestinal Tract. 1316-1327 - Johannes Rückert, Asma Ben Abacha, Alba Garcia Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Henning Müller, Christoph M. Friedrich:
Overview of ImageCLEFmedical 2023 - Caption Prediction and Concept Detection. 1328-1346 - Wen-wai Yim, Asma Ben Abacha, Griffin Adams, Neal Snider, Meliha Yetisgen:
Overview of the MEDIQA-Sum Task at ImageCLEF 2023: Summarization and Classification of Doctor-Patient Conversations. 1347-1360 - Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Bogdan Ionescu:
Overview of ImageCLEFfusion 2023 Task - Testing Ensembling Methods in Diverse Scenarios. 1361-1366 - Vaibhav Adwani, Mohammed Sameer Khan, Ankush Chopra:
TREDENCE at MEDIQA-Sum 2023: Clinical Note Generation from Doctor Patient Conversation using Utterance Segmentation and Question-Answer Driven Abstractive Summarization. 1367-1378 - Alexandra-Georgiana Andrei, Bogdan Ionescu:
AIMultimediaLab at ImageCLEFmedical GANs 2023: Determining "Fingerprints" of Training Data in Generated Synthetic Images. 1379-1386 - Masaki Aono, Hiroki Shinoda, Tetsuya Asakawa, Kazuki Shimizu, Takuya Togawa, Takuyuki Komoda:
Multi-stage Medical Image Captioning using Classification and CLIP. 1387-1395 - Tetsuya Asakawa, Hiroki Shinoda, Takuya Togawa, Kazuki Shimizu, Masaki Aono:
Real and Generated Image Classification using Multi-stage Transfer Learning. 1396-1402 - Prabavathy Balasundaram, G. Gnana Sai, Kishore N, Olirva M, Makesh Vaibhav A. G, Naren Srinivasan Murali, Parlapalli Sai Harshith:
Efficient Fusion Techniques for Result Diversification and Image Interestingness Tasks. 1403-1414 - Haricharan Bharathi, Anirudh Bhaskar, Vishal Venkataramani, Karthik Desingu, Lekshmi Kalinathan:
Correlating Biomedical Image Fingerprints between GAN-generated and Real Images using a ResNet Backbone with ML-based Downstream Comparators and Clustering: ImageCLEFmed GANs, 2023. 1415-1422 - Duy-Cat Can, Quoc-An Nguyen, Binh-Nguyen Nguyen, Minh-Quang Nguyen, Khanh-Vinh Nguyen, Trung-Hieu Do, Hoang-Quynh Le:
UETCorn at MEDIQA-Sum 2023: Template-based Summarization for Clinical Note Generation from Doctor-Patient Conversation. 1423-1432 - Shitong Cao, Xiaobing Zhou:
Finding the Source Images From the Generated Images with Contrastive Learning Methods. 1433-1439 - Chi-Yun Chang, Jiaqi Li, Shivangi Kumar, V. G. Vinod Vydiswaran:
StellEllaStars at MEDIQA-Sum 2023: Exploring Transformer-Based models for Dialogue2Topic Classification. 1440-1449 - Patrycja Cieplicka, Julia Klos, Maciej Morawski, Jaroslaw Opala:
Language-based Colonoscopy Image Analysis with Pretrained Neural Networks. 1450-1461 - Md. Ismail Siddiqi Emon, Md Mahmudur Rahman:
Media Interestingness Prediction in ImageCLEFfusion 2023 with Dense Architecture-based Ensemble & Scaled Gradient Boosting Regressor Model. 1462-1466 - Michela Gravina, Stefano Marrone, Carlo Sansone:
Analyzing the Similarity between Artificial and Training Images in Generative Models: The PicusLabMed Contribution. 1467-1477 - Rohit Raj Gunti, Abebe Rorissa:
A Dual of Stacked Attention Networks (SAN's) and VGG-16 Model-Based Visual Question Answering Evaluation. 1478-1487 - Bin Han, Haotian Zhu, Sitong Zhou, Sofia Ahmed, Md. Mushfiqur Rahman, Fei Xia, Kevin Lybarger:
HuskyScribe at MEDIQA-Sum 2023: Summarizing Clinical Dialogues with Transformers. 1488-1509 - Md. Rakibul Hasan, Oyebisi Layode, Md Mahmudur Rahman:
Concept Detection and Caption Prediction in ImageCLEFmedical Caption 2023 with Convolutional Neural Networks, Vision and Text-to-Text Transfer Transformers. 1510-1523