| Nome |
# |
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Teaching machine learning: A geometric view of Naïve Bayes, file e14fb268-22c5-3de1-e053-1705fe0ac030
|
157
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A reproducible approach with R markdown to automatic classification of medical certificates in French, file e14fb26a-9209-3de1-e053-1705fe0ac030
|
101
|
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A study on query expansion with MeSH Terms and elasticsearch. IMS Unipd at CLEF eHealth Task 3, file e14fb26b-c5cb-3de1-e053-1705fe0ac030
|
74
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A systematic review of Automatic Term Extraction: What happened in 2022?, file 1be598c3-0a64-4506-b728-bc983a4cc8f5
|
52
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Trimed: A multilingual terminological database, file e14fb26b-b65e-3de1-e053-1705fe0ac030
|
46
|
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On the Formal Standardization of Terminology Resources: The Case Study of TriMED, file e14fb26d-007e-3de1-e053-1705fe0ac030
|
41
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|
Methodology for the standardization of terminological resources: design of TriMED database to support multi-register medical communication., file e14fb26f-266f-3de1-e053-1705fe0ac030
|
34
|
|
Towards an Automatic Recognition of Mixed Languages: The Case of Ukrainian-Russian Hybrid Language Surzhyk, file e14fb26d-8ed9-3de1-e053-1705fe0ac030
|
29
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Elaborazione e gestione di (meta) dati terminologici, file 9dcb0e40-dd50-4166-a648-112408b57dd6
|
19
|
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Interactive sampling for systematic reviews. IMS Unipd at CLEF 2018 eHealth Task 2, file e14fb26b-b83d-3de1-e053-1705fe0ac030
|
19
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The University of Padua IMS Research Group at TREC 2018 Precision Medicine Track, file e14fb26b-c5ce-3de1-e053-1705fe0ac030
|
19
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Classification of Animal Experiments: A Reproducible Study. IMS Unipd at CLEF eHealth Task 1, file e14fb26c-cd7e-3de1-e053-1705fe0ac030
|
19
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Multilingual digital terminology: Introduction to the special issue, file f0110d25-9084-4e8b-a308-74da04ef0253
|
19
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TriMED: banca dati terminologica multilingue, file e14fb26b-ba2c-3de1-e053-1705fe0ac030
|
18
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|
“Stick to the Word you Can Afford”. An ERC Project: Migrating Commercial Law and Language (MiCOLL) (short paper), file b0ed4125-482c-427e-bf4b-9fba2c38e769
|
17
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(Not so) Elementary, my dear Watson! A different perspective on medical terminology, file e14fb26c-8400-3de1-e053-1705fe0ac030
|
17
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Empowering digital pathology applications through explainable knowledge extraction tools, file 0d07bf33-8d05-4d47-88e2-868848b7ca15
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16
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Modelling digital health data: The ExaMode ontology for computational pathology, file de54f73d-0c00-49fe-93b7-1dce4048757d
|
15
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A Distributed Effort Approach for Systematic Reviews. {IMS} Unipd At {CLEF} 2019 eHealth Task 2, file e14fb26c-c21a-3de1-e053-1705fe0ac030
|
15
|
|
Finding all the needles in a haystack: A System to estimate the costs of e-discovery and systematic reviews, file e14fb26b-efd0-3de1-e053-1705fe0ac030
|
14
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|
A study on lemma vs stem for legal information retrieval using R tidyverse. IMS UniPD @ AILA 2020 Task 1, file e14fb26e-f88a-3de1-e053-1705fe0ac030
|
14
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A linked open data approach for geolinguistics applications, file e14fb267-b00b-3de1-e053-1705fe0ac030
|
13
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A linguistic failure analysis of classification of medical publications: A study on stemming vs lemmatization, file 0ca73a07-7c36-4101-8ab1-23887512df4e
|
12
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Knowledge Representation and Language Simplification of Human Rights, file 059523bd-307f-4a5a-9ae7-42aa9cee6575
|
11
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A curated and evolving linguistic linked dataset, file e14fb267-a773-3de1-e053-1705fe0ac030
|
11
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Designing a long lasting linguistic project: The case study of ASIt, file e14fb26b-b65d-3de1-e053-1705fe0ac030
|
11
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A study on manual query reformulation for systematic medical reviews, file e14fb26b-efcb-3de1-e053-1705fe0ac030
|
11
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Preliminary considerations on a systematic approach to semic analysis: The case study of medical terminology, file e14fb26f-369e-3de1-e053-1705fe0ac030
|
11
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A lexicon based approach to classification of ICD10 codes. IMS unipd at CLEF eHealth task 1, file e14fb26a-9208-3de1-e053-1705fe0ac030
|
9
|
|
Computational Terminology in eHealth, file e14fb26b-730a-3de1-e053-1705fe0ac030
|
9
|
|
The University of Padua IMS Research Group at CENTRE@TREC 2018, file e14fb26b-c5d0-3de1-e053-1705fe0ac030
|
9
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|
A study on a mixed stopping strategy for total recall tasks, file e14fb26c-9517-3de1-e053-1705fe0ac030
|
9
|
|
Classification of ICD10 codes with no resources but reproducible code. IMS Unipd at CLEF eHealth Task 1, file e14fb26b-efce-3de1-e053-1705fe0ac030
|
8
|
|
A game theory approach to feature selection for text classification, file 0203add4-4c95-47e2-8b2f-5ed6cebcca43
|
7
|
|
1st International Conference on "Multilingual digital terminology today. Design, representation formats and management systems"., file 33c88c80-878b-4710-90be-b2d1662bd644
|
7
|
|
Findings of the WMT 2021 Biomedical Translation Shared Task: Summaries of Animal Experiments as New Test Set, file 51176620-b636-472b-9b25-3c5dc9b55fd8
|
7
|
|
La fraseologia dei trattati internazionali di disarmo: la risorsa terminologica DITTO, file 798dde86-3f2c-417f-930a-cf916604e029
|
7
|
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A Study on a Stopping Strategy for Systematic Reviews Based on a Distributed Effort Approach, file e14fb26e-f888-3de1-e053-1705fe0ac030
|
7
|
|
A Thorough Reproducibility Study on Sentiment Classification: Methodology, Experimental Setting, Results, file 11cf3285-7f98-449c-b3e6-d7ca107d1e9e
|
6
|
|
18th Italian Research Conference on Digital Libraries: Information and Research Science connecting to Digital and Library Science, file 28a99e52-c09d-46ee-a4ef-85e19a7cb85c
|
6
|
|
The "Geometry" of Naïve bayes: Teaching probabilities by "Drawing" them, file e14fb269-3dde-3de1-e053-1705fe0ac030
|
6
|
|
A study on ranking fusion approaches for the retrieval of medical publications, file e14fb26d-b861-3de1-e053-1705fe0ac030
|
6
|
|
Simple but effective knowledge-based query reformulations for precision medicine retrieval, file e14fb26f-369b-3de1-e053-1705fe0ac030
|
6
|
|
IMS-UNIPD @ CLEF eHealth Task 2: Reciprocal ranking fusion in CHS, file e14fb26f-4d45-3de1-e053-1705fe0ac030
|
6
|
|
On the Reusability of Terminological Data, file e14fb26f-4db8-3de1-e053-1705fe0ac030
|
6
|
|
A study of a gain based approach for query aspects in recall oriented tasks, file e14fb26f-592d-3de1-e053-1705fe0ac030
|
6
|
|
OCR Correction for Corpus-assisted Discourse Studies: A Case Study of Old Newspapers, file e14fb26f-b97f-3de1-e053-1705fe0ac030
|
6
|
|
Augmented Intelligence in Technology-Assisted Review Systems (ALTARS 2022): Evaluation Metrics and Protocols for eDiscovery and Systematic Review Systems, file f85127d9-92e6-413d-921b-9ac44aae30f1
|
6
|
|
A new decision to take for cost-sensitive Naîve Bayes classifiers, file e14fb267-b9e2-3de1-e053-1705fe0ac030
|
5
|
|
An interactive two-dimensional approach to query aspects rewriting in systematic reviews. IMS unipd at CLEF eHealth task 2, file e14fb26a-99cc-3de1-e053-1705fe0ac030
|
5
|
|
Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages, file e14fb26d-6ff6-3de1-e053-1705fe0ac030
|
5
|
|
A Quantitative/Qualitative Approach to {OCR} Error Detection and Correction
in Old Newspapers for Corpus-assisted Discourse Studies, file e14fb26f-f2b4-3de1-e053-1705fe0ac030
|
5
|
|
A love-hate relationship for Big Data and linguistics: Present issues and future possibilities, file fc70e195-b9bf-4db8-b3ea-0a07bf13340d
|
5
|
|
CLEF 2012: Information Access Evaluation meets Multilinguality, Multimodality, and Visual Analytics, file 174a2f8f-65e3-4681-97fa-8c7630aafcd6
|
4
|
|
One Size Fits All: A Conceptual Data Model for Any Approach to Terminology, file 20a70aa8-120f-4ea2-8574-b43b2085f8bd
|
4
|
|
A Study on Reciprocal Ranking Fusion in Consumer Health Search. MS UniPD at CLEF eHealth 2020 Task 2, file 9eef9dcd-4f2b-42f5-968e-ef8aefeb5af0
|
4
|
|
Did I Miss Anything? A Study on Ranking Fusion and Manual Query Rewriting in Consumer Health Search, file aca7e80a-f577-4e6d-9580-fb36b84f03c4
|
4
|
|
2nd Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS), file 8e35e7f0-062a-4918-a50a-07aae00fa006
|
3
|
|
Understanding user requirements and preferences for a digital library Web portal, file e14fb267-5e62-3de1-e053-1705fe0ac030
|
3
|
|
Picturing Bayesian Classifiers: A Visual Data Mining Approach to Parameters Optimization, file e14fb267-b3c0-3de1-e053-1705fe0ac030
|
3
|
|
A graphical view of distance between rankings: The Point and Area measures (Extended Abstract), file e14fb268-1efe-3de1-e053-1705fe0ac030
|
3
|
|
Interactive text categorisation: The geometry of likelihood spaces, file e14fb269-36be-3de1-e053-1705fe0ac030
|
3
|
|
A Gamified Approach to Naïve Bayes Classification: A Case Study for Newswires and Systematic Medical Reviews, file e14fb26b-b391-3de1-e053-1705fe0ac030
|
3
|
|
IMS-UNIPD @ CLEF eHealth Task 1: A memory based reproducible baseline, file e14fb26f-4d43-3de1-e053-1705fe0ac030
|
3
|
|
Gamification for machine learning: The classification game, file d89f93a6-1d95-4e46-95d2-23e9b16d622f
|
2
|
|
Geometric Perspectives of the BM25 (Extended Abstract), file e14fb268-1b9f-3de1-e053-1705fe0ac030
|
2
|
|
On the Use of Terminological Records in Specialised Translation, file e14fb26b-ba30-3de1-e053-1705fe0ac030
|
2
|
|
A study on machine translation tools: A comparative error analysis between DeepL and Yandex for Russian-Italian medical translation, file e14fb26f-5439-3de1-e053-1705fe0ac030
|
2
|
|
Making an Opportunity out of a Crisis: The Inclusive Approach of the Italian Robotics Community, file e14fb26f-6406-3de1-e053-1705fe0ac030
|
2
|
|
Diabetes and Prediabetes Classification Using Glycemic Variability Indices From Continuous Glucose Monitoring Data, file e14fb26f-8096-3de1-e053-1705fe0ac030
|
2
|
|
Machine Learning for In-Region Location Verification in Wireless Networks, file 20c18578-406c-42fd-91ae-4dd8bddb6ef4
|
1
|
|
Report on ECIR 2016: 38th European Conference on Information Retrieval, file 64fc27f9-5d01-445c-ad6f-4ae505af2264
|
1
|
|
The Challenges of Digitizing Spanish Grammars for Italian Speakers Across Centuries, file 689a62d8-0f01-4a9b-a4cc-941367ff34c2
|
1
|
|
Findings of the WMT 2022 Biomedical Translation Shared Task: Monolingual Clinical Case Reports, file 725ef13e-4346-4d67-86fe-dbad97cdca44
|
1
|
|
Findings of the WMT 2023 Biomedical Translation Shared Task: Evaluation of ChatGPT 3.5 as a Comparison System, file 7c24bf73-7411-4d33-a001-69fcc5720113
|
1
|
|
As Simple as Possible: Using the R Tidyverse for Multilingual Information Extraction. IMS Unipd at CLEF eHealth 2020 Task 1, file 9be226dc-1b5b-46ff-a6f6-9013a738a367
|
1
|
|
UniPadova @ LeQua 2022: A Preliminary Study of a BM25 Approach to Quantification, file b00bdd6f-9abe-4354-a2a3-13a8b06d5035
|
1
|
|
Using Scatterplots to Understand and Improve Probabilistic Models for Text Categorization and Retrieval, file e14fb267-75f9-3de1-e053-1705fe0ac030
|
1
|
|
Visual Classification, file e14fb267-b3cf-3de1-e053-1705fe0ac030
|
1
|
|
Using R markdown for replicable experiments in evidence based medicine, file e14fb26b-c5c9-3de1-e053-1705fe0ac030
|
1
|
|
Making an Opportunity out of a Crisis: The Inclusive Approach of the Italian Robotics Community, file e6bb7947-b655-494b-be13-34b59ed4004a
|
1
|
| Totale |
1.059 |