Book

Cheng, T., Bowers, K., Longley, P., Shawe-Taylor, J., Trevor, A., Davies, T., ...Shen, J. (2016). CPC: Crime, Policing and Citizenship - Intelligent Policing and Big Data. UCL SpaceTimeLab: UCL.
Ivan, I., Benenson, I., Jiang, B., Haworth, J., Horak, J., Inspektor, T. (Eds.), (2015). Geoinformatics for Intelligent Transportation. Switzerland: Springer International Publishing.
Cheng, T., Longley, P., Ellul, C., Chow, A.H.F. (Eds.), (2011). Proceedings of the 11th International Conference of GeoComputation, July 20-22. London, UK: University College London.
Cheng, T., Longley, P., Ellul, C., Chow, A.H.F. (Eds.), (2011). Proceedings of the International Symposium of Spatial-temporal Analysis and Data Mining (STDM 2011), July 18-19. London, UK: University College London.

Chapter

Cheng, T., Shen, J. (2018). Grouping people in cities: from space-time to place-time based profiling. In Human Dynamics Research in Smart and Connected Communities. Cham: Springer.
Sari Aslam, N., Cheng, T. (2018). Smart Card Data and Human Mobility. In Longley, P., Cheshire, J., SINGLETON, A. (Eds.), Consumer Data Research. UK: UCL Press.
Cheng, T., Haworth, J., Anbaroglu, B., Tanaksaranond, G., Wang, J. (2013). Spatiotemporal Data Mining. In Fischer, M., Nijkamp, P. (Eds.), Handbook of Regional Science. (pp. 1173-1193). Springer.
Wang, J., CHENG, T., Haworth, J. (2012). Space-time kernels. In Shi, W., Goodchild, M., Lees, B. (Eds.), Advances in geospatial information science. Leiden, NL: CRC Press.
Wang, J., CHENG, T., Haworth, J. (2012). Space-time kernels. In Shi, W., Goodchild, M., Lees, B. (Eds.), Advances in geospatial information science. Leiden, NL: CRC Press.
Skarlatidou, A., Wardlaw, J., Haklay, M., CHENG, T. (2011). Advances in Cartography and GIScience. Volume 1. In Ruas, A. (Ed.), Advances in Cartography and GIScience. Volume 1. (pp. 219-238). Berlin: Springer-Verlag.
Skarlatidou, A., Wardlaw, J., Haklay, M., CHENG, T. (2011). Understanding the influence of specific Web GIS attributes in the formation of non-experts' trust perceptions. In Ruas, A. (Ed.), Advances in cartography and GIScience. (pp. 219-238). Berlin: Springer-Verlag.
Skarlatidou, A., Wardlaw, J., Haklay, M., Cheng, T. (2011). Understanding the Influence of specific Web GIS Attributes in the formation of Non-Experts’ Trust Perceptions. In Advances in Cartography and GIScience; Volume 1; Selection from ICC 2011, Paris. (pp. 219-238). Springer.
CHENG, T., Anbaroglu, B. (2010). Spatio-Temporal Clustering of Road Network Data. In Wang, F.L., Deng, H., Gao, Y., Lei, J. (Eds.), Artificial Intelligence and Computational Intelligence Part I. (pp. 116-223). Belin: Springer.
CHENG, T., Anbaroglu, B. (2010). Spatio-temporal clustering of road network data. In Deng, H., Wang, L., Wang, F.L., Lei, J. (Eds.), Artificial Intelligence and Computational Intelligence. (pp. 116-123). New York: Springer-Verlag New York Inc.
Cheng, T., Li, Z., Gong, J. (2008). An activity-based spatio-temporal data model for epidemic transmission analysis. In Tang, X., Liu, Y., Zhang, J., Kainz, W. (Eds.), Advances in Spatio-Temporal Analysis. (pp. 135-146). Taylor & Francis.
Cheng, T., Molenaar, M., Stein, A. (2008). Fuzzy approach for integrated coastal zone management. In Yang, X. (Ed.), Remote Sensing and GIS for Coastal Ecosystem Assessment and Management: Principles and Application. (pp. 67-90). Berlin, Germany: Springer-Verlag.
CHENG, T., Wang, J., Li, X. (2008). Space-time series forecasting by artificial neural networks. In Li, D., Gong, J., Wu, H. (Eds.), International Conference on Earth Observation Data Processing and Analysis (ICEODPA) (Proceedings Volume). Society of Photo Optical.
CHENG, T., Wang, J. (2007). Application of a dynamic recurrent neural network in spatio-temporal forecasting. In Popovich, V.V., Schrenk, M., Korolenko, K.V. (Eds.), Information fusion and geographic information systems. (pp. 173-186). Berlin: Springer Verlag.
CHENG, T., Li, Z., Li, D., Li, D. (2006). An integrated cloud model for measurement errors and fuzziness. In Riedl, A., Kainz, W., Elmes, G.A. (Eds.), Progress in Spatial Data Handling. (pp. 699-718). Springer Verlag.
CHENG, T., Fisher, P., Li, Z. (2005). Double vagueness: effect of scale on the modelling of fuzzy spatial objects. In Fisher, P.F. (Ed.), Developments in spatial data handling. (pp. 299-313). Springer-Verlag New York Inc.
Fisher, P., Wood, J., Cheng, T. (2005). Fuzziness and ambiguity in multi-scale analysis of landscape morphometry. In Cobb, M., Petry, F., Robinson, V. (Eds.), Fuzzy Modeling with Spatial Information for Geographic Problems. (pp. 209-232). New York: Springer.
Cheng, T. (2005). Modelling and visualising linear and cyclic Changes. In Fisher, P., Unwin, D. (Eds.), Re-Presenting GIS. (pp. 205-213). John Wiley & Son.
Raper, J., Miller, H., Guhathakurta, S., Muetzelfeldt, R., Cheng, T. (2005). Time as well: an introduction. In Fisher, P., Unwin, D. (Eds.), Re-Presenting GIS. (pp. 195-198). John Wiley & Sons.
CHENG, T., Molenaar, M., Bouloucos, T. (1997). Identification of fuzzy objects from field observation data. In Hirtle, S.C., Frank, A.U. (Eds.), Spatial information theory. (pp. 241-259). Springer Verlag.
Cheng, T., Haworth, J., Anbaroglu, B., Tanaksaranond, G., Wang, J. (1900). Spatio-Temporal Data Mining. In .
Cheng, T., Haworth, J., Anbaroglu, B., Tanaksaranond, G., Wang, J. (1900). Spatio-Temporal Data Mining. In .

Conference abstract/presentation slides

Cheung, Y., Cheng, T. (2019). Forecasting Ridership to Plan New Public Transport by Using Smartphone Data.
Wang, J., CHENG, T. (2012). A local measure of spatial-temporal autocorrelation in traffic road network.
CHENG, T., Williams, D. (2012). Space-time patterns of crime incidents in Central London.
Tsapakis, I., CHENG, T., Bolbol, A. (2011). Effect of adverse weather conditions on urban speeds and travel time reliability of bus lane and non-bus lane users.
Bolbol, A., CHENG, T., Tsapakis, I., Skarlatidou, A. (2011). Identifying intermediary modes from GPS data.
CHENG, T. (2011). Integrated spatio-temporal analysis of road network performance.
Manley, E., CHENG, T. (2011). Modelling the impact of unexpected interruptions on road network performance using agent-based simulation.
CHENG, T., Manley, E. (2011). Network complexity: space-time dynamics and tipping points.
Haworth, J., CHENG, T. (2011). Spatio-temporal autocorrelations of networks and their implications for space-time modelling.
CHENG, T., Anbaroglu, B., Manley, E. (2011). Spatio-temporal scan statistics to analyse network emergence.
Skarlatidou, A., Haklay, M., CHENG, T. (2010). Cognitive walkthrough and heuristic evaluation for Web GIS usability and trust implications.
CHENG, T. (2010). Online spatio-temporal analysis of network data and road developments.
CHENG, T., Haworth, J. (2010). Space-time Kernels.
CHENG, T., Wang, J. (2010). STARIMA for journey time prediction in London.
CHENG, T., Wang, J. (2009). A hybrid model for space-time analysis.
CHENG, T., Wang, J. (2008). Integrated space-time series analysis for environmental data.
CHENG, T., Wang, J. (2007). Using dynamic recurrent neural networks for integrated spatio-temporal forecasting.
CHENG, T. (2004). Uncertainties of Spatial Objects: concepts, models and applications.
CHENG, T., Fisher, P., Li, Z. (2003). Effects of scale on modelling of fuzzy spatial objects.
CHENG, T., Fisher, P. (2002). Double Fuzziness: Fuzziness in Fuzzy Assignment of Duneness.
CHENG, T., Fisher, P., Rogers, P. (2002). Fuzziness in Multi-scale Fuzzy Assignment of Duneness.

Conference paper (text)

Okhrati, R., Lipani, A. (2021). A Multilinear Sampling Algorithm to Estimate Shapley Values.
Zhang, Q., Lipani, A., Yilmaz, E. (2021). Learning Neural Point Processes with Latent Graphs.
Hofstatter, S., Lipani, A., Althammer, S., Zlabinger, M., Hanbury, A. (2021). Mitigating the Position Bias of Transformer Models in Passage Re-Ranking.
Sanchez, L., He, J., Manotumruksa, J., Albakour, D., Martinez, M., Lipani, A. (2020). Easing Legal News Monitoring with Learning to Rank and BERT.
Chen, T., Cheng, T. (2020). Identifying Optimal Scales for Spatio-temporal Crime Clusters.
Zhang, Y., Sari Aslam, N., Cheng, T. (2020). Inferring Demographics from Spatial-Temporal Activities Using Smart Card Data.
Hofstätter, S., Lipani, A., Zlabinger, M., Hanbury, A. (2020). Learning to Re-Rank with Contextualized Stopwords.
Bulathwela, S., Pérez-Ortiz, M., Lipani, A., Yilmaz, E., Shawe-Taylor, J. (2020). Predicting Engagement in Video Lectures.
ZHANG, Y., Cheng, T., Sari Aslam, N. (2019). Deep Learning for Demographic Prediction based on Smart Card Data and Household Survey.
Cheng, T., Chen, T., Zhang, Y. (2019). Exploring the Homogeneity of Offenders in Crime Hotspots.
Zhang, Y., Cheng, T., Sari Aslam, N. (2019). Exploring the relationship between travel pattern and social-demographics using smart card data and household survey.
Lipani, A., Carterette, B., Yilmaz, E. (2019). From a User Model for Query Sessions to Session Rank Biased Precision (sRBP).
Zhang, Q., Liang, S., Lipani, A., Ren, Z., Yilmaz, E. (2019). From Stances’ Imbalance to their Hierarchical Representation and Detection.
Zhu, D., Cheng, T., Liu, Y. (2019). Geo-propagation from Incomplete Spatial Distribution Data: A Case Study of House Price Estimation.
Chen, H., Cheng, T., Zhang, Y. (2019). Locating stations in bike-sharing service: a special maximal covering location problem.
Shelbourne, C., Linguaglossa, L., Lipani, A., Zhang, T., Geyer, F. (2019). On the Learnability of Software Router Performance via CPU Measurements.
Zhang, Q., Lipani, A., Liang, S., Yilmaz, E. (2019). Reply-Aided Detection of Misinformation via Bayesian Deep Learning.
Sari Aslam, N., Cheng, T., Cheshire, J., Zhang, Y. (2019). Trip purpose identification using pairwise constraints based semi-supervised clustering.
Sari Aslam, N., Cheng, T., Cheshire, J., ZHANG, Y. (2019). Trip purpose identification using pairwise constraints based semi-supervised clustering.
Sari Aslam, N., Cheng, T., Cheshire, J.A. (2018). Behavioural Analysis of Smart Card Data.
Zhang, Y., Cheng, T. (2018). Inferring Social-Demographics of Travellers based on Smart Card Data.
Liu, Y., Cheng, T. (2017). Characterising Passengers’ Travel Patterns in London Public Transit.
Lipani, A., Lupu, M., Palotti, J., Zuccon, G., Hanbury, A. (2017). Fixed Budget Pooling Strategies Based on Fusion Methods.
Lipani, A., Palotti, J., Lupu, M., Piroi, F., Zuccon, G., Hanbury, A. (2017). Fixed-Cost Pooling Strategies Based on IR Evaluation Measures.
Bantis, T., Haworth, J., Holloway, C., Twigg, J. (2017). Mapping spatiotemporal patterns of disabled people: The case of the St. Jude’s storm emergency.
Lipani, A., Lupu, M., Hanbury, A. (2017). Visual Pool: A Tool to Visualize and Interact with the Pooling Method.
Lipani, A. (2016). Fairness in Information Retrieval.
Shi, Y., Taalab, K., Cheng, T. (2016). Flood Prediction Using Support Vector Machines (SVM).
Anbaroglu, B., Heydecker, B., Cheng, T. (2016). How travel demand affects detection of non-recurrent traffic congestion on urban road networks.
Haworth, J. (2016). INVESTIGATING THE POTENTIAL OF ACTIVITY TRACKING APP DATA TO ESTIMATE CYCLE FLOWS IN URBAN AREAS.
Williams, D., Haworth, J., Cheng, T. (2016). Predicting public confidence in the police with spatiotemporal Bayesian hierarchical modelling..
Williams, D., Haworth, J., Cheng, T. (2016). Predicting public confidence in the police with spatiotemporal Bayesian hierarchical modelling..
Lipani, A., Lupu, M., Hanbury, A. (2016). The Curious Incidence of Bias Corrections in the Pool.
Lipani, A., Zuccon, G., Lupu, M., Koopman, B., Hanbury, A. (2016). The Impact of Fixed-Cost Pooling Strategies on Test Collection Bias.
Lipani, A., Lupu, M., Kanoulas, E., Hanbury, A. (2016). The Solitude of Relevant Documents in the Pool.
Wise, S., Cheng, T. (2015). A Model Officer: An Agent-based Model of Policing.
Adepejue, M., Cheng, T., Rosser, G. (2015). A new metric of crime hotspots for operational Policing.
Rosser, G., Cheng, T. (2015). A self-exciting point process model for predictive policing: implementation and evaluation.
Lipani, A., Lupu, M., Aizawa, A., Hanbury, A. (2015). An Initial Analytical Exploration of Retrievability.
shen, J., Cheng, T. (2015). Clustering Analysis of Officer's Behaviours in London Police Foot Patrol Activities.
Piroi, F., Lipani, A., Lupu, M., Hanbury, A. (2015). DASyR(IR) - document analysis system for systematic reviews (in Information Retrieval).
Chen, H., Cheng, T., Wise, S. (2015). Designing Daily Patrol Routes For Policing Based On Ant Colony Algorithm.
Williams, D., Haworth, J., Cheng, T. (2015). Exploratory spatiotemporal data analysis and modelling of public confidence in the police in central London.
Williams, D., Haworth, J., Cheng, T. (2015). Exploratory spatiotemporal data analysis and modelling of public confidence in the police in central London.
Shen, J., Cheng, T. (2015). Group Behaviour Analysis of London Foot Patrol Police.
Bantis, A., Haworth, J., Holloway, C., Twigg, J. (2015). Mapping Spatio-Temporal Patterns of Disabled People in emergencies: A Bayesian approach.
Juntao, L., Cheng, T., Lansley, G. (2015). Spatio-Temporal Patterns of Passengers’ Interests at London Tube Stations.
Lipani, A., Lupu, M., Hanbury, A. (2015). Splitting Water: Precision and Anti-Precision to Reduce Pool Bias.
Lipani, A., Lupu, M., Hanbury, A., Aizawa, A. (2015). Verboseness Fission for BM25 Document Length Normalization.
Haworth, J., Cheng, T. (2014). A COMPARISON OF NEIGHBOURHOOD SELECTION TECHNIQUES IN SPATIO-TEMPORAL FORECASTING MODELS.
Haworth, J., Cheng, T. (2014). A COMPARISON OF NEIGHBOURHOOD SELECTION TECHNIQUES IN SPATIO-TEMPORAL FORECASTING MODELS.
Lipani, A., Piroi, F., Andersson, L., Hanbury, A. (2014). An Information Retrieval Ontology for Information Retrieval Nanopublications.
Lipani, A., Piroi, F., Andersson, L., Hanbury, A. (2014). Extracting Nanopublications from IR Papers.
Lipani, A., Andersson, L., Piroi, F., Lupu, M., Hanbury, A. (2014). TUW-IMP at the NTCIR-11 Math-2.
Cheng, T., Adepejue, M. (2013). Detecting Emerging Space-Time Crime Patterns by Prospective STSS.
Sfyridis, A., Cheng, T., Vespe, M. (2013). Detecting vessels carrying migrants using machine learning.
Haworth, J., Cheng, T., Manley, E. (2013). Improving Forecasting under Missing Data on Sparse Spatial Networks.
Haworth, J., Cheng, T., Manley, E. (2013). Improving Forecasting under Missing Data on Sparse Spatial Networks.
Manley, E., Cheng, T., Haworth, J. (2013). Markov Chain Topological Route Selection.
Cheng, T., Manley, E., Haworth, J. (2013). Markov Chain Topological Route Selection.
Chen, C., Wang, Y., Wan, H., Cheng, T. (2012). Determinations of low breast screening uptake using geographically weighted regression model.
Tsapakis, I., Turner, J.T., CHENG, T., Heydecker, B., Emmonds, A.E., Bolbol, A.B. (2012). Effects of tube strikes on journey times in the transport network of London.
Bolbol, A., CHENG, T., Tsapakis, I. (2012). Inferring the travel mode from sparse GPS data using SVM classification: Case study of Greater London.
Chow, A.H.F., Santecreu, A., Tsapakis, I., Tanaksaranond, G., CHENG, T. (2012). Nature and causes of urban traffic congestion - a case study of London.
Cheng, T., Williams, D. (2012). SPACE-TIME ANALYSIS OF CRIME PATTERNS IN CENTRAL LONDON.
Tsapakis, I., Turner, J., Heydecker, B., CHENG, T. (2012). Understanding the effects of tube strikes on macroscopic and link travel times.
Chow, A.H.F., Heydecker, B.G., Cheng, T. (2012). Urban traffic data fusion.
Chow, A.H.F., Tsapakis, I., Tanaksaranond, G., Cheng, T., Heydecker, B., Emmonds, A. (2012). Urban traffic data fusion.
Tanaksaranond, G., CHENG, T., Chow, A. (2011). A star-schema OLAP to support multi-dimensional traffic analysis.
Chow, A.H.F., Santacreu, A., Tsapakis, I., Tanaksaranond, G., Cheng, T. (2011). Empirical analysis of urban traffic congestion – A case study of Greater London Area.
Skarlatidou, A., Haklay, M., Cheng, T., Bolbol, A. (2011). Investigating non-experts trust perceptions in Spatial Decision Support Systems for public use.
CHENG, T., Haworth, J., Shawe-Taylor, J. (2011). Kernel regression for traffic prediction under missing data.
CHENG, T., Wang, J., Haworth, J., Heydecker, B., Chow, A. (2011). Modelling dynamic space-time autocorrelations of urban transport network.
Manley, E., Cheng, T. (2011). Multi-Agent Simulation of Drivers Reactions to Unexpected Incidents on Urban Road Networks.
Manley, E., CHENG, T. (2011). Multi-agent simulation of drivers reactions to unexpected incidents on urban road networks.
Wang, J., CHENG, T., Heydecker, B., Chow, A. (2011). Parameter calibration of STARIMA model.
Cheng, T., Anbaroglu, B., Manley, E. (2011). Spatio-Temporal Scan Statistics to Analyse Network Emergence.
Manley, E., CHENG, T., Emmonds, A. (2011). Understanding route choice by using agent-based simulation.
CHENG, T., Skarlatidou, A., Wardlaw, J., Haklay, M. (2011). Understanding the influence of specific Web GIS attributes in the formation of non-experts’ trust perceptions.
Bolbol, A., CHENG, T., Haworth, J. (2011). Using a moving window SVM classification to infer travel mode from GPS data.
Bolbol, A., CHENG, T., Haworth, J. (2011). Using a moving window SVMs classification to infer travel mode from GPS data.
Anbaroglu, B., CHENG, T. (2011). Where and when does the traffic congestion begin and end? A spatio-temporal clustering approach to detect congestion.
Skarlatidou, A., Haklay, M., Cheng, T. (2010). Cognitive walkthrough and heuristic evaluation for Web GIS usability and trust implications.
Cheng, T., Anbaroglu, B. (2010). Defining dynamic spatiooral neighbourhood of network data.
CHENG, T., Anbaroglu, T. (2010). Defining spatio-temporal neighbourhood of network data.
Bolbol, A.S.Z., Cheng, T., Paracha, A. (2010). GEOTRAVELDIARY: Towards Online Automatic Travel Behaviour Detection.
Bolbol, A., CHENG, T. (2010). GPS data collection setting for pedestrian activity modelling.
Cao, Z., Haklay, M., Cheng, T. (2010). IDW implementation in Map calculus and commercial GIS products.
CHENG, T., Tanaksaranond, G., Emmonds, A., Sonoiki, D. (2010). Multi-scale visualisation of inbound and outbound traffic delays in London.
Bolbol, A., CHENG, T. (2010). On-line travel diary: towards automatic travel behaviour detection.
Skarlatidou, A., Cheng, T., Haklay, M. (2010). Preliminary investigation of Web GIS trust: the example of the “WIYBY” website.
Wang, J., CHENG, T., Haworth, J. (2010). Space-time kernels.
Wang, J., CHENG, T., Haworth, J. (2010). Space-time kernels.
CHENG, T. (2010). Spatio-temporal analysis of network data and road developments.
CHENG, T., Anbaroglu, B. (2010). Spatio-temporal clustering of road network data.
Wang, J., CHENG, T., Heydecker, B., Haworth, J. (2010). STARIMA for journey time prediction in London.
Skarlatidou, A., Haklay, M., Cheng, T., Francis, N. (2010). Trust in web GIS: A preliminary investigation of the environment agency’s WIYBY website with non-expert users.
CHENG, T., Manley, E. (2010). Understanding road congestion as an emergent property of traffic networks.
Manley, E., Cheng, T. (2010). Understanding Road Congestion as an Emergent Property of Traffic Networks.
Deng, M., Liu, Q., Li, G., Cheng, T. (2009). A local distribution based spatial clustering algorithm.
CHENG, T., Anbaroglu, B. (2009). Methods on defining spatio-temporal neighbourhoods.
CHENG, T., Anbaroglu, B. (2009). Spatio-temporal outlier detection in environmental data.
Cheng, T., Wang, J., Li X, Z., W. (2008). A hybrid approach to model nonstationary space-time series.
Cheng, T., Wang, J. (2008). Integrated space-time series analysis for environmental data.
Cheng, T., Wang, J., Li, X. (2008). Space-time series modelling by artificial neural network.
Cheng, T., Deng, M., Li, Z. (2007). A unified representation for indeterminate spatial objects.
Cheng, T., Wang, J. (2007). Application of a dynamic recurrent neural network in spatio-temporal forecasting.
Wang, J., Cheng, T. (2007). Nonlinear integration of spatial and temporal forecasting by Support Vector Machines.
Cheng, T., Wang, J., Li, X. (2007). Spatio-temporal data mining and forecasting by support vector machines.
Cheng, T., Wang, J. (2007). Using dynamic recurrent neural networks for integrated spatio-temporal forecasting.
Cheng, T., Li, Z.L., Li, D.A.L., D. (2006). An integrated cloud model for measurement errors and fuzziness.
Cheng, T., Wang, J. (2006). Applications of spatio-temporal data mining and knowledge discovery (STDMKD) for forest fire prevention.
Cheng, T., Wang, J. (2006). Applications of spatio-temporal data mining and knowledge for forest fire.
Liu, W., Chen, J., Zhao, R., Cheng, T. (2005). A refined line-line spatial relationship model for spatial conflict detection.
Cheng, T., Li, Z., Gong, J. (2005). Conceptual design of an activity-based spatio-temporal data model for SARS transmission analysis.
Liu, W., Chen, J., Li, Z., Zhao, R., Cheng, T. (2005). Detection of spatial conflicts between rivers and contours in topographical database updating.
Cheng, T., Li, Z. (2005). Representing cyclic change in polar coordinate systems.
Cheng, T., Li, Z., Deng, M., Xu, Z. (2005). Representing indeterminate spatial objects by cloud theory.
Fisher, P., Wood, J., Cheng, T. (2005). The uncertainty of uncertainty: higher order vagueness in geographical information.
Cheng, T., Li, Z. (2004). A hybrid approach to detect spatio-temporal outliers.
Cheng, T., Li, Z. (2004). A multi-scale approach to detect spatio-temporal outliers.
Cheng, T., Fisher, P., Li, Z. (2004). Double vagueness: effect of scale on the modelling of fuzzy spatial objects.
Cheng, T. (2004). Double Vaugeness: Effect of Scale on the Modeling of Fuzzy Spatial Objects.
Cheng, T. (2004). Uncertainties of Spatial Objects: concepts, models and applications.
Cheng, T., Fisher, P., Li, Z. (2003). Effects of Scale on Modeling of Fuzzy Spatial Objects.
Cheng, T., Li, Z. (2003). Measure the semantic change after merging operation.
Cheng, T., Fisher, P. (2002). Double Fuzziness: Fuzziness in Fuzzy Assignment of Duneness.
Cheng, T., Fisher, P., Rogers, P. (2002). Fuzziness in Multi-scale Fuzzy Assignment of Duneness.
Cheng, T. (2001). Quality assessment of model-oriented generalization.
Shan, Y., Cheng, T., and Lin, H. (2001). Spatio-temporal data mining in GIS.
Cheng, T., Wang, D. (2001). Visualizing cyclic spatio-temporal patterns in polar coordinate system.
Wang, D., Cheng, T. (2000). A process-oriented spatio-temporal data model for activity-based travel demand modeling.
Cheng, T., Lin, H. (2000). Uncertainties in multi-scale generalization.
Cheng, T., Molenaar, M. (1999). Syntactic representation of three fuzzy object models.
Cheng, T., Molenaar, M. (1998). A process-oriented spatio-temporal data model to support physical environmental modeling.
Cheng, T. (1998). Change of fuzzy objects.
Cheng, T., Molenaar, M., Bouloucos, T. (1998). Fuzzy object models and their application.
Molenaar, M., Cheng, T. (1998). Fuzzy spatial objects and their dynamics.
Cheng, T., Molenaar, M. (1998). The identification and monitoring of objects with fuzzy spatial extent.
Cheng, T., M.o.l.e.n.a.a.r. (1997). Dynamics of fuzzy objects.
Cheng, T., Molenaar, M., Bouloucos, T. (1997). Identification of fuzzy objects from field observation data.
Cheng, T., Kainz, W., Van Zuidam, R.A. (1996). Coupling GIS and environmental modelling: the implications for spatio-temporal data modeling.
Cheng, T., Van Zuidam, R.A., Kaniz, W. (1995). A unified spatio-temporal data model for 4-D GIS.
Cheng, T., Eleveld, M.A., Van Zuidam, R.A. (1995). Creation of a 4-D GIS working platform for coastal environmental monitoring and management.
Cheng, T. (1995). Development of a spatio-temporal GIS shell to support coastal environment modelling.
Eleveld, M.A., Cheng, T., Van Zuidam, R.A. (1995). Towards a decision support system for coastal zone management by applying morphodynamic modeling with remote sensing data input in a 4-D GIS environment.
Li, D., Cheng, T. (1994). KDG - Knowledge Discovery from GIS: propositions on the use of KDD in an Intelligent GIS.
Cheng, T., Li, D., Shu, N. (1992). An expert system of grass resource investigation by using remote sensing data.
Izzo, C., Lipani, A., Okhrati, R., Medda, F. (1900). A Baseline for Shapley Values in MLPs: from Missingness to Neutrality.
Haworth, J., Cheng, T., Manley, E. (1900). Improving forecasting under missing data on sparse spatial networks.

Journal article

James, T., Schillaci, C., Lipani, A. (2021). Convolutional Neural Networks for Water segmentation using Sentinel-2 Red, Green, Blue (RGB) composites and derived Spectral Indices. International Journal of Remote Sensing (TRES),
Gezici, G., Lipani, A., Saygin, Y., Yilmaz, E. (2021). Evaluation metrics for measuring bias in search engine results. Information Retrieval Journal, doi:10.1007/s10791-020-09386-w
Lipani, A., Carterette, B., Yilmaz, E. (2021). How Am I Doing?: Evaluating Conversational Search Systems Offline. ACM Transactions on Information Systems,
Schillaci, C., Perego, A., Valkama, E., Märker, M., Saia, S., Veronesi, F., ...Gamper, H.A. (2021). New pedotransfer approaches to predict soil bulk density using WoSIS soil data and environmental covariates in Mediterranean agro-ecosystems. Science of The Total Environment, 780 146609. doi:10.1016/j.scitotenv.2021.146609
Anderson-Bell, J., Schillaci, C., Lipani, A. (2021). Predicting Non-Residential Building Fire Risk Using Geospatial Information and Convolutional Neural Networks. Remote Sensing Applications: Society and Environment,
Ibrahim, M.R., Haworth, J., Lipani, A., Aslam, N., Cheng, T., Christie, N. (2021). Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe.. PLoS One, 16 (1), e0246120. doi:10.1371/journal.pone.0246120
Ibrahim, M.R., Haworth, J., Lipani, A., Aslam, N., Cheng, T., Christie, N. (2021). Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe.. PLoS One, 16 (1), e0246120. doi:10.1371/journal.pone.0246120
Ibrahim, M.R., Haworth, J., Lipani, A., Aslam, N., Cheng, T., Christie, N. (2021). Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe.. PLoS One, 16 (1), e0246120. doi:10.1371/journal.pone.0246120
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Cheng, T., Molenaar, M., Lin, H. (2001). Formalising fuzzy objects from uncertain classification results. International Journal of Geographical Information Science, 15 (1), 27-42. doi:10.1080/13658810010004689
Molenaar, M., Cheng, T. (2000). Fuzzy spatial objects and their dynamics. ISPRS Journal of Photogrammetry and Remote Sensing, 55 (3), 164-175. doi:10.1016/S0924-2716(00)00017-4
Cheng, T., Molenaar, M. (1999). Diachronic analysis of fuzzy objects. GeoInformatica, 3 (4), 337-356. doi:10.1023/A:1009884730822
Cheng, T., Molenaar, M. (1999). Objects with fuzzy spatial extent. Photogrammetric Engineering and Remote Sensing, 65 (7), 797-801.
Blok, C., Kobben, B., Cheng, T., Kuterema, A. (1999). The visualizations of relationships between spatial patterns in time by cartographic animation. Cartography and Geographic Information Science, 26 (2), 139-151. doi:10.1559/152304099782330716
Van Zuidam, R., Farifteh, J., Eleveld, M., Cheng, T. (1998). Developments in remote sensing, dynamic modelling and GIS applications for integrated coastal zone management. Journal of Coastal Conservation, 4 (2), 191-202. doi:10.1007/BF02806511
Li, D., Cheng, T. (1995). Toward an intelligent GIS by applying KDD. Acta Geodaetica et Cartographica Sinica, 24 37-44.
Cheng, T., Li, D., Shu, N. (1992). An expert system prototype for remote sensing image interpretation. Journal of Wuhan Technical University of Surveying and Mapping, 17 155-166.
Cheng, T. (1991). Geographic information system and expert system. Journal of Postgraduates in Wuhan Technical University of Surveying and Mapping, (1),
Tsapakis, I., Schneider, W.H., Nichols, A., Haworth, J. (1900). Alternatives in Assigning Coverage Counts to Factor Groupings for a Precise Estimation of Annual Average Daily Traffic. Journal of Advanced Transportation, doi:10.1002/atr.1186
Ibrahim, M.R., Haworth, J., Christie, N., Cheng, T. (1900). CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning.

Report

Zhang, Q., Lipani, A., Kirnap, Ö., Yilmaz, E. (2020). Self-Attentive Hawkes Processes.. .
Skarlatidou, A., Cheng, T., Haylay, M., Nicholson, D., Atherton, E. (2007). Public response to Defra (Department for Environment, Food and Rural Affairs) Consultation on public participation in nuclear disposal site selection. .

Thesis / Dissertation

Cheng, T. (1900). A Process-oriented Data Model for Fuzzy Spatial Objects. (Doctoral Dissertation).
Sari Aslam, N. (1900). Analysis of Demand Dynamics and Inter-modal Connectivity in London Bicycle Sharing System. (). UCL.
Cheng, T. (1900). Developing an Expert System for Grass Resource Investigation in North-West China,. ().
Cheng, T. (1900). Multiscale Spatio-Temporal Data Modeling, Analyzing and Reasoning. (Doctoral Dissertation).
Lipani, A. (1900). On Biases in Information Retrieval Models and Evaluation.
Sari Aslam, N. (1900). Online support vector regression for network travel time prediction. (). UCL.
Sari Aslam, N. (1900). Online support vector regression for network travel time prediction. (). UCL.
Haworth, J. (1900). Spatio-temporal forecasting of network data. (Doctoral Dissertation). UCL.