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  • Dong H, Chen J, He Y, Gao Y and Horrocks I. A Language Model Based Framework for New Concept Placement in Ontologies. The Semantic Web. (79-99).

    https://doi.org/10.1007/978-3-031-60626-7_5

  • Faggioli G and Ferro N. Query Obfuscation for Information Retrieval Through Differential Privacy. Advances in Information Retrieval. (278-294).

    https://doi.org/10.1007/978-3-031-56027-9_17

  • El-Rashidy M, Mohamed R, El-Fishawy N and Shouman M. (2024). An effective text plagiarism detection system based on feature selection and SVM techniques. Multimedia Tools and Applications. 83:1. (2609-2646). Online publication date: 1-Jan-2024.

    https://doi.org/10.1007/s11042-023-15703-4

  • Panigutti C, Beretta A, Fadda D, Giannotti F, Pedreschi D, Perotti A and Rinzivillo S. (2023). Co-design of Human-centered, Explainable AI for Clinical Decision Support. ACM Transactions on Interactive Intelligent Systems. 13:4. (1-35). Online publication date: 31-Dec-2024.

    https://doi.org/10.1145/3587271

  • Setlur V, Kanyuka A and Srinivasan A. Olio: A Semantic Search Interface for Data Repositories. Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology. (1-16).

    https://doi.org/10.1145/3586183.3606806

  • Taufiq U, Pulungan R and Suyanto Y. (2023). Named entity recognition and dependency parsing for better concept extraction in summary obfuscation detection. Expert Systems with Applications: An International Journal. 217:C. Online publication date: 1-May-2023.

    https://doi.org/10.1016/j.eswa.2023.119579

  • Liu B, Lin T and Li M. (2022). Boosting aspect category detection with inference heuristics and knowledge enhancement. Knowledge-Based Systems. 256:C. Online publication date: 28-Nov-2022.

    https://doi.org/10.1016/j.knosys.2022.109855

  • Kamble K and Shirgave S. (2022). Hybrid Method for Semantic Similarity Computation Using Weighted Components in Ontology. International Journal of Software Innovation. 10:1. (1-12). Online publication date: 30-Sep-2022.

    https://doi.org/10.4018/IJSI.309734

  • Chua H, Tucker-Kellogg L and Bhowmick S. ArcheGEO. Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. (1-10).

    https://doi.org/10.1145/3535508.3545531

  • Kardan A and Jafarpour H. (2018). N-Dimensional Matrix-Based Ontology. International Journal on Semantic Web & Information Systems. 14:2. (47-69). Online publication date: 8-Jul-2022.

    https://doi.org/10.4018/IJSWIS.2018040103

  • Chang E. (2022). A vector-based semantic relatedness measure using multiple relations within SNOMED CT and UMLS. Journal of Biomedical Informatics. 131:C. Online publication date: 1-Jul-2022.

    https://doi.org/10.1016/j.jbi.2022.104118

  • Fazzini M, Khalajzadeh H, Haggag O, Li Z, Obie H, Arora C, Hussain W and Grundy J. Characterizing human aspects in reviews of COVID-19 apps. Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems. (38-49).

    https://doi.org/10.1145/3524613.3527814

  • Ofoghi B. Linguistic characterization of answer passages for fact-seeking question answering. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. (821-828).

    https://doi.org/10.1145/3477314.3506999

  • Adhikari A, Dutta B and Dutta A. (2022). Finding most informative common ancestor in cross-ontological semantic similarity assessment. Expert Systems with Applications: An International Journal. 192:C. Online publication date: 15-Apr-2022.

    https://doi.org/10.1016/j.eswa.2021.116281

  • Fatima G, Nawab R, Khan M and Saeed A. (2021). Developing a Cross-lingual Semantic Word Similarity Corpus for English–Urdu Language Pair. ACM Transactions on Asian and Low-Resource Language Information Processing. 21:2. (1-16). Online publication date: 31-Mar-2022.

    https://doi.org/10.1145/3472618

  • Chandrasekaran D and Mago V. (2021). Evolution of Semantic Similarity—A Survey. ACM Computing Surveys. 54:2. (1-37). Online publication date: 31-Mar-2022.

    https://doi.org/10.1145/3440755

  • Li X, Yang Z, Chen S and Ma S. Research on A Machine Scoring Method of Role-Play Section in English Oral Test. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. (380-386).

    https://doi.org/10.1145/3498851.3498983

  • Tekli J, Tekli G and Chbeir R. Almost Linear Semantic XML Keyword Search. Proceedings of the 13th International Conference on Management of Digital EcoSystems. (129-138).

    https://doi.org/10.1145/3444757.3485079

  • Orhan U and Tulu C. (2021). A novel embedding approach to learn word vectors by weighting semantic relations. Expert Systems with Applications: An International Journal. 180:C. Online publication date: 15-Oct-2021.

    https://doi.org/10.1016/j.eswa.2021.115146

  • Jiang Y. (2021). A unified framework for semantic similarity computation of concepts. Multimedia Tools and Applications. 80:21-23. (32335-32378). Online publication date: 1-Sep-2021.

    https://doi.org/10.1007/s11042-021-10966-1

  • Zhou X and Mu Y. Question-Guided Semantic Dual-Graph Visual Reasoning with Novel Answers. Proceedings of the 2021 International Conference on Multimedia Retrieval. (411-419).

    https://doi.org/10.1145/3460426.3463647

  • Mousavi Z and Faili H. (2021). Developing the Persian Wordnet of Verbs Using Supervised Learning. ACM Transactions on Asian and Low-Resource Language Information Processing. 20:4. (1-18). Online publication date: 31-Jul-2021.

    https://doi.org/10.1145/3450969

  • Völske M, Bondarenko A, Fröbe M, Stein B, Singh J, Hagen M and Anand A. Towards Axiomatic Explanations for Neural Ranking Models. Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval. (13-22).

    https://doi.org/10.1145/3471158.3472256

  • Gkini O, Belmpas T, Koutrika G and Ioannidis Y. An In-Depth Benchmarking of Text-to-SQL Systems. Proceedings of the 2021 International Conference on Management of Data. (632-644).

    https://doi.org/10.1145/3448016.3452836

  • Obie H, Hussain W, Xia X, Grundy J, Li L, Turhan B, Whittle J and Shahin M. A first look at human values-violation in app reviews. Proceedings of the 43rd International Conference on Software Engineering: Software Engineering in Society. (29-38).

    https://doi.org/10.1109/ICSE-SEIS52602.2021.00012

  • Haj A, Balouki Y and Gadi T. (2021). Automated generation of terminological dictionary from textual business rules. Journal of Software: Evolution and Process. 33:5. Online publication date: 26-Apr-2021.

    https://doi.org/10.1002/smr.2339

  • Xia T, Wang Y, Tian Y and Chang Y. Using Prior Knowledge to Guide BERT’s Attention in Semantic Textual Matching Tasks. Proceedings of the Web Conference 2021. (2466-2475).

    https://doi.org/10.1145/3442381.3449988

  • Wang S, Zhao R, Chen X, Zheng Y and Liu B. Enquire One’s Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. Proceedings of the Web Conference 2021. (3291-3304).

    https://doi.org/10.1145/3442381.3449948

  • Mishra S and Rzeszotarski J. (2021). Crowdsourcing and Evaluating Concept-driven Explanations of Machine Learning Models. Proceedings of the ACM on Human-Computer Interaction. 5:CSCW1. (1-26). Online publication date: 13-Apr-2021.

    https://doi.org/10.1145/3449213

  • Varlamis I, Sardianos C, Bogorny V, Alvares L, Carvalho J, Renso C, Perego R and Violos J. A novel similarity measure for multiple aspect trajectory clustering. Proceedings of the 36th Annual ACM Symposium on Applied Computing. (551-558).

    https://doi.org/10.1145/3412841.3441935

  • Karuppaiah D and Vincent P. (2021). Hybrid approach for semantic similarity calculation between Tamil words. International Journal of Innovative Computing and Applications. 12:1. (13-23). Online publication date: 1-Jan-2021.

    https://doi.org/10.1504/ijica.2021.113609

  • Hie B, Zhong E, Bryson B and Berger B. Learning mutational semantics. Proceedings of the 34th International Conference on Neural Information Processing Systems. (9109-9121).

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  • Gu M, Zhao Z, Jin W, Cai D and Wu F. (2020). Video Dialog via Multi-Grained Convolutional Self-Attention Context Multi-Modal Networks. IEEE Transactions on Circuits and Systems for Video Technology. 30:12. (4453-4466). Online publication date: 1-Dec-2020.

    https://doi.org/10.1109/TCSVT.2019.2957309

  • Wang Z and Moosavi V. From PIace2Vec to Multi-Scale Built-Environment Representation. Proceedings of the 4th ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks, and Geoadvertising. (1-12).

    https://doi.org/10.1145/3423334.3431450

  • Bian W, Alam O and Kienzle J. Is automated grading of models effective?. Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems. (365-376).

    https://doi.org/10.1145/3365438.3410944

  • Gröndahl T and Asokan N. (2019). Text Analysis in Adversarial Settings. ACM Computing Surveys. 52:3. (1-36). Online publication date: 31-May-2020.

    https://doi.org/10.1145/3310331

  • Ye J, Dobson S and Zambonelli F. (2020). XLearn. ACM Transactions on Intelligent Systems and Technology. 11:2. (1-28). Online publication date: 30-Apr-2020.

    https://doi.org/10.1145/3368272

  • Panigutti C, Perotti A and Pedreschi D. Doctor XAI. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. (629-639).

    https://doi.org/10.1145/3351095.3372855

  • Abdelkader M and Rodríguez de Guzmán I. (2020). A Novel Approach for Business Process Model Matching Using Genetic Algorithms. International Journal of Distributed Artificial Intelligence. 12:1. (1-19). Online publication date: 1-Jan-2020.

    https://doi.org/10.4018/IJDAI.2020010101

  • Janowicz K, Al-Tawil M, Dimitrova V and Thakker D. (2020). Using knowledge anchors to facilitate user exploration of data graphs. Semantic Web. 11:2. (205-234). Online publication date: 1-Jan-2020.

    https://doi.org/10.3233/SW-190347

  • Xue X, Lu J, Jiang C, Huang Y and Hwang F. (2020). Sensor Ontology Metamatching with Heterogeneity Measures. Wireless Communications & Mobile Computing. 2020. Online publication date: 1-Jan-2020.

    https://doi.org/10.1155/2020/6666228

  • Lin J, Jain U and Schwing A. TAB-VCR. Proceedings of the 33rd International Conference on Neural Information Processing Systems. (15615-15628).

    /doi/10.5555/3454287.3455686

  • Wang D and Mao K. (2019). Learning Semantic Text Features for Web Text-Aided Image Classification. IEEE Transactions on Multimedia. 21:12. (2985-2996). Online publication date: 1-Dec-2019.

    https://doi.org/10.1109/TMM.2019.2920620

  • Li M, Gan T, Liu M, Cheng Z, Yin J and Nie L. Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network. Proceedings of the 28th ACM International Conference on Information and Knowledge Management. (509-518).

    https://doi.org/10.1145/3357384.3357912

  • Mun C, Yoon S and Park H. (2019). Structural decomposition of technological domain using patent co-classification and classification hierarchy. Scientometrics. 121:2. (633-652). Online publication date: 1-Nov-2019.

    https://doi.org/10.1007/s11192-019-03223-8

  • Bian W, Alam O and Kienzle J. Automated grading of class diagrams. Proceedings of the 22nd International Conference on Model Driven Engineering Languages and Systems. (700-709).

    https://doi.org/10.1109/MODELS-C.2019.00106

  • Lu Q, de Silva N, Kafle S, Cao J, Dou D, Nguyen T, Sen P, Hailpern B, Reinwald B and Li Y. Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies. Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. (338-346).

    https://doi.org/10.1145/3307339.3342148

  • Gurukar S and Bedathur S. Time-series as Background Data for Relating Medical Diagnoses Terms. Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. (243-252).

    https://doi.org/10.1145/3307339.3342145

  • Frasca M and Bianchi N. (2019). Multitask Protein Function Prediction through Task Dissimilarity. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16:5. (1550-1560). Online publication date: 1-Sep-2019.

    https://doi.org/10.1109/TCBB.2017.2684127

  • Gali N, Mariescu-Istodor R, Hostettler D and Fränti P. (2019). Framework for syntactic string similarity measures. Expert Systems with Applications: An International Journal. 129:C. (169-185). Online publication date: 1-Sep-2019.

    https://doi.org/10.1016/j.eswa.2019.03.048

  • Liu Y, Zhang X, Huang F, Tang X and Li Z. (2019). Visual question answering via Attention-based syntactic structure tree-LSTM. Applied Soft Computing. 82:C. Online publication date: 1-Sep-2019.

    https://doi.org/10.1016/j.asoc.2019.105584

  • Isaj S, Zimányi E and Pedersen T. Multi-Source Spatial Entity Linkage. Proceedings of the 16th International Symposium on Spatial and Temporal Databases. (1-10).

    https://doi.org/10.1145/3340964.3340979

  • Huang J. Computing the semantic similarity between documents by the copula-based econometric models. Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition. (134-139).

    https://doi.org/10.1145/3357254.3357277

  • Biagiola M, Stocco A, Mesbah A, Ricca F and Tonella P. Web test dependency detection. Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. (154-164).

    https://doi.org/10.1145/3338906.3338948

  • Zhang Z, Zhao Z, Lin Z, Song J and He X. Open-ended long-form video question answering via hierarchical convolutional self-attention networks. Proceedings of the 28th International Joint Conference on Artificial Intelligence. (4383-4389).

    /doi/10.5555/3367471.3367651

  • Abdelkader M. (2019). Improving Effectiveness of Process Model Matchers Using Wordnet Glosses. International Journal of Systems and Software Security and Protection. 10:2. (1-19). Online publication date: 1-Jul-2019.

    https://doi.org/10.4018/IJSSSP.2019070101

  • Zhou Y and Xue Y. (2019). SMAGA. International Journal of Social Media and Online Communities. 11:2. (12-34). Online publication date: 1-Jul-2019.

    https://doi.org/10.4018/IJSMOC.2019070102

  • Xu P and Lu J. (2019). Towards a unified framework for string similarity joins. Proceedings of the VLDB Endowment. 12:11. (1289-1302). Online publication date: 1-Jul-2019.

    https://doi.org/10.14778/3342263.3342268

  • Pellegrin L, Escalante H, Montes-Y-Gómez M and González F. (2019). Exploiting label semantic relatedness for unsupervised image annotation with large free vocabularies. Multimedia Tools and Applications. 78:14. (19641-19662). Online publication date: 1-Jul-2019.

    https://doi.org/10.1007/s11042-019-7357-2

  • Hamroun M, Lajmi S, Nicolas H and Amous I. VISEN. Proceedings of the 23rd International Database Applications & Engineering Symposium. (1-10).

    https://doi.org/10.1145/3331076.3331094

  • Chu C, Razniewski S and Weikum G. TiFi: Taxonomy Induction for Fictional Domains. The World Wide Web Conference. (2673-2679).

    https://doi.org/10.1145/3308558.3313519

  • Madani Y, Erritali M and Bengourram J. (2019). Sentiment analysis using semantic similarity and Hadoop MapReduce. Knowledge and Information Systems. 59:2. (413-436). Online publication date: 1-May-2019.

    https://doi.org/10.1007/s10115-018-1212-z

  • Liu W, Liu J, Wei B, Duan H and Hu W. (2019). A new truth discovery method for resolving object conflicts over Linked Data with scale-free property. Knowledge and Information Systems. 59:2. (465-495). Online publication date: 1-May-2019.

    https://doi.org/10.1007/s10115-018-1192-z

  • Jin W, Zhao Z, Li Y, Li J, Xiao J and Zhuang Y. (2019). Video Question Answering via Knowledge-based Progressive Spatial-Temporal Attention Network. ACM Transactions on Multimedia Computing, Communications, and Applications. 15:2s. (1-22). Online publication date: 30-Apr-2019.

    https://doi.org/10.1145/3321505

  • Laadhar A, Ghozzi F, Megdiche I, Ravat F, Teste O and Gargouri F. Partitioning and local matching learning of large biomedical ontologies. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. (2285-2292).

    https://doi.org/10.1145/3297280.3297507

  • Quan Z, Wang Z, Le Y, Yao B, Li K and Yin J. (2019). An Efficient Framework for Sentence Similarity Modeling. IEEE/ACM Transactions on Audio, Speech and Language Processing. 27:4. (853-865). Online publication date: 1-Apr-2019.

    https://doi.org/10.1109/TASLP.2019.2899494

  • Martínez-García M, Valls A and Moreno A. (2019). Inferring preferences in ontology-based recommender systems using WOWA. Journal of Intelligent Information Systems. 52:2. (393-423). Online publication date: 1-Apr-2019.

    https://doi.org/10.1007/s10844-018-0532-5

  • Nikaj A, Weske M and Mendling J. (2019). Semi-automatic derivation of RESTful choreographies from business process choreographies. Software and Systems Modeling (SoSyM). 18:2. (1195-1208). Online publication date: 1-Apr-2019.

    https://doi.org/10.1007/s10270-017-0653-2

  • Quintero R, Torres-Ruiz M, Menchaca-Mendez R, Moreno-Armendariz M, Guzman G and Moreno-Ibarra M. (2019). DIS-C. Knowledge and Information Systems. 59:1. (33-65). Online publication date: 1-Apr-2019.

    https://doi.org/10.1007/s10115-018-1200-3

  • Mohammadi M, Hofman W and Tan Y. (2019). Simulated Annealing-based Ontology Matching. ACM Transactions on Management Information Systems. 10:1. (1-24). Online publication date: 31-Mar-2019.

    https://doi.org/10.1145/3314948

  • Liang H, Jiang M, Liang R and Zhao Q. (2018). CapVis. ACM Transactions on Intelligent Systems and Technology. 10:1. (1-23). Online publication date: 31-Jan-2019.

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  • Duong-Trung N, Nguyen M and Nguyen H. Clustering Stability via Concept-based Nonnegative Matrix Factorization. Proceedings of the 3rd International Conference on Machine Learning and Soft Computing. (49-54).

    https://doi.org/10.1145/3310986.3310991

  • Deshpande A and Jegadeesan M. Leveraging Ontological Knowledge for Neural Language Models. Proceedings of the ACM India Joint International Conference on Data Science and Management of Data. (350-353).

    https://doi.org/10.1145/3297001.3297059

  • Srinivasan A, Drucker S, Endert A and Stasko J. (2018). Augmenting Visualizations with Interactive Data Facts to Facilitate Interpretation and Communication. IEEE Transactions on Visualization and Computer Graphics. 25:1. (672-681). Online publication date: 1-Jan-2019.

    https://doi.org/10.1109/TVCG.2018.2865145

  • Kamper H, Shakhnarovich G and Livescu K. (2019). Semantic Speech Retrieval With a Visually Grounded Model of Untranscribed Speech. IEEE/ACM Transactions on Audio, Speech and Language Processing. 27:1. (89-98). Online publication date: 1-Jan-2019.

    https://doi.org/10.1109/TASLP.2018.2872106

  • Koroleva A, Kamath S and Paroubek P. (2019). Measuring semantic similarity of clinical trial outcomes using deep pre-trained language representations. Journal of Biomedical Informatics. 100:S. Online publication date: 1-Jan-2019.

    https://doi.org/10.1016/j.yjbinx.2019.100058

  • Trifa A, Hedhili A and Chaari W. (2019). Knowledge tracing with an intelligent agent, in an e-learning platform. Education and Information Technologies. 24:1. (711-741). Online publication date: 1-Jan-2019.

    https://doi.org/10.1007/s10639-018-9792-5

  • Crimp R and Trotman A. Refining Query Expansion Terms using Query Context. Proceedings of the 23rd Australasian Document Computing Symposium. (1-4).

    https://doi.org/10.1145/3291992.3292000

  • Li Z, He J, Chen D, Fang X, Song Y and Li Z. A Hybrid Approach for Measuring Similarity between Government Documents of China. Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence. (431-435).

    https://doi.org/10.1145/3297156.3297248

  • Shalev G, Adi Y and Keshet J. Out-of-distribution detection using multiple semantic label representations. Proceedings of the 32nd International Conference on Neural Information Processing Systems. (7386-7396).

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  • Ochieng P and Kyanda S. (2018). A K-way spectral partitioning of an ontology for ontology matching. Distributed and Parallel Databases. 36:4. (643-673). Online publication date: 1-Dec-2018.

    https://doi.org/10.1007/s10619-018-7222-8

  • Rogozov Y, Soto J, Sviridov A, Lipko Y, Belikova S, Belikov A, Kucherov S, Shevchenko O, Borisova E and Egorov A. Texts Segmentation and Semantic Comparison: Method and Results of its Application. Proceedings of the 23rd Conference of Open Innovations Association FRUCT. (321-328).

    /doi/10.5555/3299905.3299948

  • Torre-Bastida A, Bermúdez J and Illarramendi A. (2018). A Rule-Based Transducer for Querying Incompletely Aligned Datasets. ACM Transactions on the Web. 12:4. (1-40). Online publication date: 6-Nov-2018.

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  • Zhang X, Sun S and Zhang K. (2018). An information Content-Based Approach for Measuring Concept Semantic Similarity in WordNet. Wireless Personal Communications: An International Journal. 103:1. (117-132). Online publication date: 1-Nov-2018.

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  • Xue H, Chu W, Zhao Z and Cai D. (2018). A Better Way to Attend. IEEE Transactions on Image Processing. 27:11. (5563-5574). Online publication date: 1-Nov-2018.

    https://doi.org/10.1109/TIP.2018.2859820

  • Prasojo R, Kacimi M and Nutt W. StuffIE. Proceedings of the 27th ACM International Conference on Information and Knowledge Management. (467-476).

    https://doi.org/10.1145/3269206.3271812

  • Liu Y, Zhang X, Huang F and Li Z. Adversarial Learning of Answer-Related Representation for Visual Question Answering. Proceedings of the 27th ACM International Conference on Information and Knowledge Management. (1013-1022).

    https://doi.org/10.1145/3269206.3271765

  • Alhoshan W, Zhao L and Batista-Navarro R. Using semantic frames to identify related textual requirements. Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. (1-2).

    https://doi.org/10.1145/3239235.3267441

  • El Achkar I, Labriji A, Ghanimi F and Labriji E. Ontology-based Approach for Extracting User Interests Centers. Proceedings of the 3rd International Conference on Smart City Applications. (1-12).

    https://doi.org/10.1145/3286606.3286802

  • Abbes H and Gargouri F. (2018). Modular Ontologies Composition. International Journal of Information Technology and Web Engineering. 13:4. (35-60). Online publication date: 1-Oct-2018.

    https://doi.org/10.4018/IJITWE.2018100103

  • Abdelkader M. (2018). A Method Based on WordNet and Monge-Elkan Distance for Business Process Model Matching. International Journal of Information System Modeling and Design. 9:4. (37-48). Online publication date: 1-Oct-2018.

    https://doi.org/10.4018/IJISMD.2018100103

  • Jain R. (2018). A Novel Method for Building Indexer for Aligning Ontologies in Semantic Web. International Journal of Information Retrieval Research. 8:4. (67-86). Online publication date: 1-Oct-2018.

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  • Mejri L. (2018). A Knowledge Based Approach for Accident Analysis. International Journal of Information Retrieval Research. 8:4. (51-66). Online publication date: 1-Oct-2018.

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  • Wang P, Wu Q, Shen C, Dick A and van den Hengel A. (2018). FVQA. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40:10. (2413-2427). Online publication date: 1-Oct-2018.

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  • Chen S, Moh'd A, Nourashrafeddin S and Milios E. Active High-Recall Information Retrieval from Domain-Specific Text Corpora based on Query Documents. Proceedings of the ACM Symposium on Document Engineering 2018. (1-10).

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    https://doi.org/10.1145/3235765.3235776

  • Ezzikouri H, Oukessou M, Youness M and Erritali M. Fuzzy Cross Language Plagiarism Detection (Arabic-English) using WordNet in a Big Data environment. Proceedings of the 2018 2nd International Conference on Cloud and Big Data Computing. (22-27).

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